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unit: def find_repeat_detections()
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unit: def csv_to_sequences()
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unit: def process_sequences()
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unit: public bool ProcessDetections()
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unit: def compute_precision_recall_with_sequences()
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unit: def main()
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unit: def compute_precision_recall_with_sequences()
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unit: public JsonData SubsetJsonDetectorOutputMain()
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unit: def create_gui()
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unit: def compute_precision_recall_with_images()
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unit: def compute_precision_recall_with_images()
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unit: def verify_bboxes()
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unit: private void ButtonNextClick()
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unit: def create_classification_csv()
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unit: def test_epoch()
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unit: def expanded_conv()
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unit: def download_and_crop()
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unit: def cyclegan_generator_resnet()
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unit: def main()
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unit: def make_spreadsheet()
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unit: def main()
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unit: def _build_nasnet_base()
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unit: def _compute_precision_recall()
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unit: def main()
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unit: def compute_precision_recall_bbox()
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unit: def send_message()
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unit: def visualize_detector_output()
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unit: def submit_tasks()
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unit: def detect_sync()
file: api_flask_redis/api_core/animal_detection_api/api_frontend.py
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unit: def load_and_run_detector()
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unit: def get_preferred_taxonomic_match()
file: taxonomy_mapping/process_species_by_dataset.py
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unit: def subset_json_detector_output()
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unit: def request_detections()
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unit: def run_epoch()
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unit: def main()
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unit: def run_epoch()
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unit: def main()
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unit: def detect_sync()
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unit: def main()
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unit: def make_cct_embedded()
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unit: def main()
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unit: def render_images_for_directory()
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unit: def process_queried_images()
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unit: def find_matches_in_directory()
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unit: def compute_precision_recall()
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unit: def main()
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unit: def save_outputs()
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unit: def break_into_images_annotations()
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unit: def update_xmp_metadata()
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unit: def main()
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unit: def combine_api_output_dictionaries()
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unit: def mobilenet_v1_base()
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unit: def main()
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unit: def render_bounding_boxes()
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unit: def mobilenet_base()
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unit: def compute_precision_recall_per_cat()
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unit: def get_output_json()
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unit: def generate_detections()
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unit: def train_classifier()
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unit: def train_classifier()
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unit: def check_taxonomy_csv()
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unit: def inception_v3()
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unit: def inception_v4_base()
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unit: def process_exif()
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unit: def _convert_to_example()
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unit: def _process_image_files_batch()
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unit: def main()
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unit: def main()
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unit: def add_annotations_to_sequences()
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unit: def get_wrapper_AL_mapping()
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unit: def get_wrapper_AL_mapping()
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unit: def main()
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id: 92
unit: private JsonData SubsetJsonDetectorOutputbyConfidence()
file: api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp/SubsetJsonDetectorOutput.cs
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unit: def create_tfrecords_format()
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unit: def main()
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unit: def _parse_args()
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unit: def video_to_frames()
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unit: def conv3d_spatiotemporal()
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unit: def run_detection()
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unit: def main()
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unit: def main()
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unit: def create_dataloaders()
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unit: def simulate_batch()
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unit: def simulate_batch()
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unit: def render_image_no_gt()
file: api/batch_processing/postprocessing/postprocess_batch_results.py
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unit: def detect_process()
file: api_flask_redis/api_core/animal_detection_api/api_backend.py
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unit: def generator()
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unit: def _build_pnasnet_base()
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unit: def _parse_args()
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unit: def _parse_args()
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unit: def main()
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unit: def main()
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unit: def update_detection_table()
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unit: def compute_precision_recall_with_sequences()
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unit: def create_splits_smallest_label_first()
file: classification/create_classification_dataset.py
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unit: def wait_for_tasks()
file: classification/detect_and_crop.py
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unit: def draw_bounding_box_on_image()
file: visualization/visualization_utils.py
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unit: def main()
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id: 121
unit: def download_and_crop()
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unit: def retrieve_job_status()
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unit: def plot_confusion_matrix()
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unit: private JsonData SubsetJsonDetectorOutputbyQuery()
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unit: def convert_csv_to_json()
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unit: def download()
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unit: def __init__()
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unit: public static string GetRelativePath()
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unit: def apply_different_methods()
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unit: def check_posted_data()
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unit: def mobilenet()
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unit: def remove_nonexistent_images()
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unit: def urls()
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unit: private void ButtonVerifyClick()
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unit: def __init__()
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unit: def __init__()
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unit: def get_image_dims()
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unit: def get_per_image_gts_and_detections_deprecated()
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unit: def update_scores()
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unit: def refresh_images_to_display()
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unit: def update_scores()
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unit: def render_detection_bounding_boxes()
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unit: public bool VerifyAnnotations()
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unit: private String TopLevelFolder()
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unit: def split_separable_conv2d()
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unit: public static void ShowProgress()
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unit: public bool BulkInsertAnnotations()
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unit: def combine_api_shard_files()
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unit: def load_api_results_csv()
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unit: def subset_json_detector_output_by_query()
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unit: def block_reduction_b()
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unit: def resnet_v2_200()
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unit: def main()
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unit: def prepare_api_output_for_timelapse()
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unit: def empty_accuracy_image_level()
file: benchmark/model_eval_utils.py
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unit: def cache_detections()
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unit: def label_spec_to_nodes()
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unit: def prep_device()
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unit: def log_run()
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unit: def main()
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unit: def download_relative_url()
file: data_management/importers/channel_islands_to_cct.py
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id: 532
unit: def copy_from_mounted_container()
file: data_management/importers/eMammal/copy_and_unzip_emammal.py
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unit: def _download_unzip()
file: data_management/importers/eMammal/copy_and_unzip_emammal.py
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unit: def create_human_archive()
file: data_management/importers/snapshot_serengeti_lila.py
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id: 535
unit: def download_url()
file: data_management/lila/get_lila_category_counts.py
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id: 536
unit: def download_url()
file: data_management/lila/get_lila_category_list.py
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id: 537
unit: def look_up_split()
file: data_management/megadb/split_images.py
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unit: def add_exif_data()
file: data_management/read_exif.py
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unit: def forward()
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unit: def forward()
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unit: def get_class_probability_pruning()
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unit: def noveltySamples()
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unit: def train_eval_classifier()
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unit: def noveltySamples()
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unit: def train_eval_classifier()
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unit: def get_class_probability_pruning()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
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unit: def load_taxonomy()
file: research/day_night_classification/iwildcam_dataset.py
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unit: def render_iMerit_boxes()
file: visualization/visualization_utils.py
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id: 549
unit: def check_status()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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unit: private static void EnumerateDetections()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegration.cs
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unit: private void ResetControlsAfterProcessing()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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unit: private void HandleExceptions()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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unit: def combine_api_output_files()
file: api/batch_processing/postprocessing/combine_api_outputs.py
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unit: def load_and_run_classifier()
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unit: def block_inception_a()
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unit: def _parse_args()
file: classification/aggregate_classifier_probs.py
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unit: def load_pretrained_weights()
file: classification/efficientnet/utils.py
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unit: def _parse_args()
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unit: def remove_images_insufficient_locs()
file: classification/json_validator.py
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unit: def __init__()
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unit: def check_image_existence_and_size()
file: data_management/databases/sanity_check_json_db.py
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unit: def add_exif_data()
file: data_management/importers/channel_islands_to_cct.py
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unit: def parse_timestamp()
file: data_management/importers/eMammal/eMammal_helpers.py
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unit: def compute_graph_density()
file: research/active_learning/active_learning_methods/graph_density.py
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unit: def print_tree()
file: research/active_learning/active_learning_methods/utils/tree.py
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unit: def create_child_leaves_mapping()
file: research/active_learning/active_learning_methods/utils/tree.py
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unit: def __init__()
file: research/active_learning/archive/UI.py
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unit: def compute_graph_density()
file: research/active_learning/sampling_methods/graph_density.py
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unit: def print_tree()
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unit: def create_child_leaves_mapping()
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unit: def random_flip()
file: research/day_night_classification/util.py
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unit: def main()
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unit: def print_taxonomy_matches()
file: taxonomy_mapping/species_lookup.py
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unit: def lowest_common_ancestor()
file: taxonomy_mapping/taxonomy_graph.py
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id: 575
unit: public DataTable GetImagesForDeployment()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
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unit: def __init__()
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unit: def write_detection_results()
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unit: def main()
file: api/batch_processing/postprocessing/top_folders_to_bottom.py
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unit: def _add_to_tfrecord()
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unit: def _sum_clones_gradients()
file: archive/classification_marcel/tf-slim/deployment/model_deploy.py
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unit: def block_reduction_a()
file: archive/classification_marcel/tf-slim/nets/inception_v4.py
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unit: def build_model()
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unit: def _crop()
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unit: def parse_args()
file: archive/data_management/make_oneclass_json.py
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unit: def filter_detected_images()
file: classification/detect_and_crop.py
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unit: def resume_tasks()
file: classification/detect_and_crop.py
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unit: def __init__()
file: classification/efficientnet/utils.py
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file: classification/evaluate_model.py
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unit: def parse_spec()
file: classification/json_validator.py
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unit: def validate_json()
file: classification/json_validator.py
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unit: def log_run()
file: classification/train_classifier_tf.py
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unit: def main()
file: data_management/annotations/add_bounding_boxes_to_megadb.py
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unit: def process_image()
file: data_management/get_image_sizes.py
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unit: def order_seq_properties()
file: data_management/megadb/schema/sequences_schema_check.py
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unit: def enumerate_files()
file: data_management/read_exif.py
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unit: def validate_one_batch()
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unit: def extract_embeddings()
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unit: def __init__()
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unit: def render_image_info()
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unit: def create_job()
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unit: def test_update_and_read()
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unit: def main()
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id: 607
unit: def main()
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id: 608
unit: private void TabSelectionChanged()
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unit: private void LoadCategoryMappings()
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id: 610
unit: def remove_failed_images()
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id: 611
unit: def __init__()
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McCabe index: 5
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id: 612
unit: def has_access()
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unit: def main()
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unit: def _get_filenames_and_classes()
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unit: def create_clones()
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unit: def _add_gradients_summaries()
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unit: def train_model()
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unit: def cifar_config()
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id: 619
unit: def large_imagenet_config()
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id: 620
unit: def mobile_imagenet_config()
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unit: def large_imagenet_config()
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id: 622
unit: def mobile_imagenet_config()
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unit: def preprocess_for_eval()
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id: 624
unit: def show_fullsize_image()
file: archive/runapp.py
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unit: def csv_to_jsondict()
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id: 626
unit: def extract_endpoints()
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id: 627
unit: def __init__()
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id: 628
unit: def get_image_sas_uris()
file: classification/json_validator.py
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id: 629
unit: def imgs_with_confidences()
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id: 630
unit: def idfg_add_image_entry()
file: data_management/annotations/add_bounding_boxes_to_json.py
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McCabe index: 4
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id: 631
unit: def plot_distribution()
file: data_management/importers/eMammal/eMammal_helpers.py
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McCabe index: 6
number of parameters: 3

id: 632
unit: def read_exif_data()
file: data_management/read_exif.py
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McCabe index: 7
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id: 633
unit: def create_tfrecords()
file: data_management/tfrecords/make_tfrecords.py
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McCabe index: 2
number of parameters: 2

id: 634
unit: def producer_func()
file: detection/run_tf_detector_batch.py
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id: 635
unit: def __getitem__()
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id: 636
unit: def __iter__()
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id: 637
unit: def updateLabel()
file: research/active_learning/archive/UIComponents/Tag.py
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id: 638
unit: def __iter__()
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id: 639
unit: def activeLearning()
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unit: def __iter__()
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id: 641
unit: def get_transform()
file: research/active_learning/deep_learning/data_loader.py
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id: 642
unit: def embedding()
file: research/active_learning/deep_learning/engine.py
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id: 643
unit: def save_embedding_plot()
file: research/active_learning/deep_learning/utils.py
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id: 644
unit: def getCriterion()
file: research/active_learning/deep_learning/utils.py
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id: 645
unit: def show_fullsize_image()
file: research/active_learning/labeling_tool/runapp.py
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id: 646
unit: def read_image()
file: research/day_night_classification/util.py
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McCabe index: 4
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id: 647
unit: def get_num_completed_tasks()
file: api/batch_processing/api_core/server_batch_job_manager.py
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id: 648
unit: def create_job_status()
file: api/batch_processing/api_core/server_job_status_table.py
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size: 14 LOC
McCabe index: 3
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id: 649
unit: def get_missing_images()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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McCabe index: 4
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id: 650
unit: def divide_list_into_tasks()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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id: 651
unit: def _process_image()
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id: 652
unit: def main()
file: archive/classification_marcel/tf-slim/download_and_convert_data.py
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id: 653
unit: def _split_divisible()
file: archive/classification_marcel/tf-slim/nets/mobilenet/conv_blocks.py
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id: 654
unit: def get_checkpoint_init_fn()
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id: 655
unit: def upsample()
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id: 656
unit: def is_gt_seq_non_empty()
file: benchmark/model_eval_utils.py
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id: 657
unit: def _parse_args()
file: classification/csv_to_json.py
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id: 658
unit: def _encode_block_string()
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id: 659
unit: def efficientnet_params()
file: classification/efficientnet/utils.py
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id: 660
unit: def log_images_with_confidence()
file: classification/train_classifier_tf.py
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id: 661
unit: def write_table()
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id: 662
unit: def create_annotation()
file: data_management/importers/auckland_doc_test_to_json.py
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id: 663
unit: def get_storage_client()
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id: 664
unit: def sequences_schema_check()
file: data_management/megadb/schema/sequences_schema_check.py
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McCabe index: 3
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id: 665
unit: def main()
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id: 666
unit: def log()
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id: 667
unit: def save_embedding_plot()
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id: 668
unit: def get_pairs()
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id: 669
unit: def get_triplets()
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id: 670
unit: def select_batch_()
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id: 671
unit: def sampler_select_batch()
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id: 672
unit: def selectSamples()
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id: 673
unit: def train_one_batch()
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unit: def get_pairs()
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unit: def get_triplets()
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id: 676
unit: def select_batch_()
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id: 677
unit: def sampler_select_batch()
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id: 678
unit: def flip_bbox()
file: research/day_night_classification/util.py
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id: 679
unit: def calibration_ece()
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id: 680
unit: def submit()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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id: 681
unit: public static void SetMessageBox()
file: api/batch_processing/integration/eMammal/WPF-integration-app/Common.cs
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id: 682
unit: private void SetPossibleCategory()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 683
unit: public bool IsConnectionOpen()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
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id: 684
unit: def relative_sas_url()
file: api/batch_processing/postprocessing/postprocess_batch_results.py
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id: 685
unit: def _is_cmyk()
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unit: def _find_image_bounding_boxes()
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unit: def _download_and_uncompress_dataset()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_cifar10.py
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unit: def __init__()
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id: 690
unit: def get_network_fn()
file: archive/classification_marcel/tf-slim/nets/nets_factory.py
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id: 691
unit: def conv2d_same()
file: archive/classification_marcel/tf-slim/nets/resnet_utils.py
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id: 692
unit: def preprocess_for_train()
file: archive/classification_marcel/tf-slim/preprocessing/vgg_preprocessing.py
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unit: def calc_per_label_stats()
file: classification/evaluate_model.py
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unit: def set_finetune()
file: classification/train_classifier.py
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id: 695
unit: def correct()
file: classification/train_classifier.py
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id: 696
unit: def rspb_add_image_entry()
file: data_management/annotations/add_bounding_boxes_to_json.py
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id: 697
unit: def parse_args()
file: data_management/databases/remove_corrupted_images_from_database.py
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id: 698
unit: def process_images()
file: data_management/get_image_sizes.py
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id: 699
unit: def zip_single_file()
file: data_management/importers/snapshot_safari_importer.py
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unit: def copy_image()
file: data_management/importers/umn_to_json.py
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unit: def increment()
file: data_management/read_exif.py
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unit: def parse_args()
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unit: def frames_to_video()
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unit: def embedding()
file: research/active_learning/DL/Engine.py
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unit: def render_megadb_bounding_boxes()
file: visualization/visualization_utils.py
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id: 720
unit: def get_allowlist()
file: api/batch_processing/api_core/server_app_config.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 721
unit: def read_job_status()
file: api/batch_processing/api_core/server_job_status_table.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 2

id: 722
unit: public object ExecuteScalar()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 125
end line: 139
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 723
unit: def findImageStrings()
file: archive/classification_marcel/detect_and_predict_image.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 724
unit: def _parse_input_meta_graph_proto()
file: archive/classification_marcel/freeze_graph.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 725
unit: def download_and_uncompress_tarball()
file: archive/classification_marcel/tf-slim/datasets/dataset_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 726
unit: def cifarnet_arg_scope()
file: archive/classification_marcel/tf-slim/nets/cifarnet.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 727
unit: def i3d_base()
file: archive/classification_marcel/tf-slim/nets/i3d.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 728
unit: def _set_arg_scope_defaults()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 729
unit: def global_pool()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 730
unit: def _pooling()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 4

id: 731
unit: def pix2pix_arg_scope()
file: archive/classification_marcel/tf-slim/nets/pix2pix.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 732
unit: def _aspect_preserving_resize()
file: archive/classification_marcel/tf-slim/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 733
unit: def show_wrongly_classified_seq()
file: benchmark/model_eval_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 5

id: 734
unit: def sort_locs_by_size()
file: classification/create_classification_dataset.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 4

id: 735
unit: def round_filters()
file: classification/efficientnet/utils.py
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end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 736
unit: def _parse_args()
file: classification/save_mislabeled.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 737
unit: def ss_anno_image_file_name_to_db_image_id()
file: data_management/annotations/add_bounding_boxes_to_json.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 1

id: 738
unit: def get_classes_for_image()
file: data_management/cct_json_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 2

id: 739
unit: def add()
file: data_management/databases/classification/make_classification_dataset.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 740
unit: def transform_bbox()
file: data_management/importers/channel_islands_to_cct.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 1

id: 741
unit: def clean_frame_number_4_digit()
file: data_management/importers/eMammal/eMammal_helpers.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 742
unit: def is_daytime()
file: data_management/importers/eMammal/eMammal_helpers.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 7
number of parameters: 1

id: 743
unit: def draw_fancy_ellipse()
file: data_management/importers/plot_wni_giraffes.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 6
number of parameters: 7

id: 744
unit: def query_sequences_table()
file: data_management/megadb/megadb_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 5

id: 745
unit: def accuracy()
file: research/active_learning/DL/utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 746
unit: def get_mixture_of_samplers()
file: research/active_learning/active_learning_methods/constants.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 747
unit: def create_tree()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 1

id: 748
unit: def confirm()
file: research/active_learning/archive/UI.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 749
unit: def contextMenuEvent()
file: research/active_learning/archive/UIComponents/ImageView.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 750
unit: def mousePressEvent()
file: research/active_learning/archive/UIComponents/Tag.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 6
number of parameters: 2

id: 751
unit: def active_learning()
file: research/active_learning/archive/filebased_run_dirty.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 752
unit: def active_learning()
file: research/active_learning/archive/run_backup.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 753
unit: def __init__()
file: research/active_learning/archive/sqlite_data_loader_bk.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 11

id: 754
unit: def __getitem__()
file: research/active_learning/archive/sqlite_data_loader_bk.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 755
unit: def __init__()
file: research/active_learning/deep_learning/active_learning_manager.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 6

id: 756
unit: def validate_one_batch()
file: research/active_learning/deep_learning/engine.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 5

id: 757
unit: def accuracy()
file: research/active_learning/deep_learning/utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 758
unit: def get_mixture_of_samplers()
file: research/active_learning/sampling_methods/constants.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 759
unit: def create_tree()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 1

id: 760
unit: def connect_to_airsim()
file: research/airsim/get_camtrap_images.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 0

id: 761
unit: def _slice_to_bounds()
file: research/day_night_classification/util.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 1

id: 762
unit: def get_exif()
file: sandbox/ocr_sandbox.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 763
unit: def main()
file: taxonomy_mapping/species_lookup.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 0

id: 764
unit: def __load_model()
file: api/batch_processing/api_core/batch_service/score.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 765
unit: def __init__()
file: api/batch_processing/api_core/batch_service/score.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 766
unit: def _create_tasks()
file: api/batch_processing/api_core/server_batch_job_manager.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 5

id: 767
unit: public static void SetMessage()
file: api/batch_processing/integration/eMammal/WPF-integration-app/Common.cs
start line: 43
end line: 61
size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 768
unit: private int FindSequenceId()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegration.cs
start line: 253
end line: 264
size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 769
unit: public DataTable GetDeploymentDetails()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 230
end line: 244
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 770
unit: def main()
file: api/batch_processing/postprocessing/convert_output_format.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 0

id: 771
unit: def top_level_folder()
file: api/batch_processing/postprocessing/subset_json_detector_output.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 7
number of parameters: 1

id: 772
unit: def load_model()
file: api/synchronous/api_core/animal_detection_classification_api/tf_classifer.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 773
unit: def request_detection()
file: api/synchronous/example/locustfile.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 774
unit: def load_model()
file: archive/classification_marcel/api_apply_classifier_single_node.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 775
unit: def add_classification_categories()
file: archive/classification_marcel/api_apply_classifier_single_node.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 6
number of parameters: 2

id: 776
unit: def load_model()
file: archive/classification_marcel/detect_and_predict_image.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 777
unit: def _parse_input_graph_proto()
file: archive/classification_marcel/freeze_graph.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 778
unit: def _parse_input_saver_proto()
file: archive/classification_marcel/freeze_graph.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 779
unit: def _build_synset_lookup()
file: archive/classification_marcel/tf-slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 780
unit: def read_label_file()
file: archive/classification_marcel/tf-slim/datasets/dataset_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 781
unit: def clone_device()
file: archive/classification_marcel/tf-slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 782
unit: def reduced_kernel_size_3d()
file: archive/classification_marcel/tf-slim/nets/i3d_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 783
unit: def __init__()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 9

id: 784
unit: def preprocess_for_eval()
file: archive/classification_marcel/tf-slim/preprocessing/cifarnet_preprocessing.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 6
number of parameters: 4

id: 785
unit: def _smallest_size_at_least()
file: archive/classification_marcel/tf-slim/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 786
unit: def get_non_person_images()
file: archive/detection/detector_eval/detection_eval_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 7
number of parameters: 1

id: 787
unit: def group_detections_by_image()
file: archive/detection/detector_eval/detection_eval_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 7
number of parameters: 2

id: 788
unit: def main()
file: archive/prepare_api_output_for_timelapse.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 789
unit: def drop_connect()
file: classification/efficientnet/utils.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 790
unit: def forward()
file: classification/efficientnet/utils.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 791
unit: def __getitem__()
file: classification/train_classifier.py
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size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 792
unit: def load_splits()
file: classification/train_utils.py
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size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 793
unit: def main()
file: data_management/get_image_sizes.py
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size: 11 LOC
McCabe index: 2
number of parameters: 0

id: 794
unit: def zipdir()
file: data_management/importers/ena24_to_json.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 795
unit: def check_class_on_seq_or_image()
file: data_management/megadb/schema/sequences_schema_check.py
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end line: 0
size: 11 LOC
McCabe index: 6
number of parameters: 1

id: 796
unit: def main()
file: data_management/megadb/schema/sequences_schema_check.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 0

id: 797
unit: def create_image_objects()
file: data_management/read_exif.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 0

id: 798
unit: def __load_model()
file: detection/run_tf_detector.py
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size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 799
unit: def forward()
file: research/active_learning/DL/losses.py
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size: 11 LOC
McCabe index: 2
number of parameters: 3

id: 800
unit: def updateEmbedding()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 801
unit: def select_batch_()
file: research/active_learning/active_learning_methods/confidence_sampling.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 5

id: 802
unit: def select_batch_()
file: research/active_learning/active_learning_methods/entropy_sampling.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 5

id: 803
unit: def select_batch_()
file: research/active_learning/active_learning_methods/graph_density.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 804
unit: def showCurrentPage()
file: research/active_learning/archive/UIComponents/GridWidget.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 2

id: 805
unit: def setSample()
file: research/active_learning/archive/UIComponents/ImageView.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 4

id: 806
unit: def active_learning_entropy()
file: research/active_learning/archive/filebased_run_dirty.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 807
unit: def active_learning_entropy()
file: research/active_learning/archive/run_backup.py
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size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 808
unit: def activeLearning()
file: research/active_learning/archive/run_bk.py
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size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 809
unit: def forward()
file: research/active_learning/deep_learning/losses.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 3

id: 810
unit: def select_batch_()
file: research/active_learning/sampling_methods/confidence_sampling.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 5

id: 811
unit: def select_batch_()
file: research/active_learning/sampling_methods/entropy_sampling.py
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size: 11 LOC
McCabe index: 3
number of parameters: 5

id: 812
unit: def select_batch_()
file: research/active_learning/sampling_methods/graph_density.py
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size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 813
unit: def _download_page()
file: taxonomy_mapping/simple_image_download.py
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size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 814
unit: def resize_image()
file: visualization/visualization_utils.py
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end line: 0
size: 11 LOC
McCabe index: 6
number of parameters: 3

id: 815
unit: def show_images_in_a_row()
file: visualization/visualization_utils.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 1

id: 816
unit: def test_insert()
file: api/batch_processing/api_core/server_job_status_table.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 817
unit: def check_data_container_sas()
file: api/batch_processing/api_core/server_utils.py
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end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 1

id: 818
unit: def create_response_message()
file: api/batch_processing/data_preparation/prepare_api_submission.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 819
unit: public static int GetShowProgressCount()
file: api/batch_processing/integration/eMammal/WPF-integration-app/Common.cs
start line: 117
end line: 129
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 820
unit: private void ButtonBackClick()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 299
end line: 308
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 821
unit: private bool IsJsonFile()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 383
end line: 392
size: 10 LOC
McCabe index: 2
number of parameters: 0

id: 822
unit: public DataTable GeData()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 90
end line: 100
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 823
unit: public DataTable GetDataTable()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 246
end line: 257
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 824
unit: def main()
file: api/batch_processing/postprocessing/combine_api_outputs.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 825
unit: def write_api_results()
file: api/batch_processing/postprocessing/load_api_results.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 826
unit: def remove_repeat_detections()
file: api/batch_processing/postprocessing/repeat_detection_elimination/remove_repeat_detections.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 827
unit: def main()
file: api/batch_processing/postprocessing/repeat_detection_elimination/remove_repeat_detections.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 0

id: 828
unit: def findImages()
file: archive/classification_marcel/detect_and_predict_image.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 829
unit: def __init__()
file: archive/classification_marcel/tf-slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 830
unit: def depth_multiplier()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 831
unit: def metrics()
file: archive/classification_marcel/tf-slim/nets/mobilenet_v1_eval.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 832
unit: def eval_model()
file: archive/classification_marcel/tf-slim/nets/mobilenet_v1_eval.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 833
unit: def drop_path()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 834
unit: def _default_generator_blocks()
file: archive/classification_marcel/tf-slim/nets/pix2pix.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 835
unit: def resnet_v1_block()
file: archive/classification_marcel/tf-slim/nets/resnet_v1.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 836
unit: def resnet_v2_block()
file: archive/classification_marcel/tf-slim/nets/resnet_v2.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 837
unit: def preprocess_image()
file: archive/classification_marcel/tf-slim/preprocessing/cifarnet_preprocessing.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 838
unit: def preprocess_image()
file: archive/classification_marcel/tf-slim/preprocessing/inception_preprocessing.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 7

id: 839
unit: def _central_crop()
file: archive/classification_marcel/tf-slim/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 840
unit: def _mean_image_subtraction()
file: archive/classification_marcel/tf-slim/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 841
unit: def _get_variables_to_train()
file: archive/classification_marcel/tf-slim/train_image_classifier.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 0

id: 842
unit: def forward()
file: classification/efficientnet/utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 843
unit: def get_model_params()
file: classification/efficientnet/utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 844
unit: def get_candidates_df()
file: classification/identify_mislabeled_candidates.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 845
unit: def __getitem__()
file: classification/run_classifier.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 846
unit: def annotations_groupby_image_field()
file: data_management/cct_json_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 847
unit: def get_exif_tags()
file: data_management/importers/bellevue_to_json.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 848
unit: def clean_frame_number()
file: data_management/importers/eMammal/eMammal_helpers.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 849
unit: def sort_dict_val_desc()
file: data_management/importers/eMammal/eMammal_helpers.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 850
unit: def zip_files_to_flat()
file: data_management/importers/snapshot_safari_importer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 851
unit: def get_datasets_table()
file: data_management/megadb/megadb_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 852
unit: def get_splits_table()
file: data_management/megadb/megadb_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 853
unit: def check_frame_num()
file: data_management/megadb/schema/sequences_schema_check.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 1

id: 854
unit: def parse_args()
file: data_management/tfrecords/tools/stat_tfrecords.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 855
unit: def _process_image()
file: data_management/tfrecords/utils/create_tfrecords.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 856
unit: def select_batch_()
file: research/active_learning/active_learning_methods/bandit_discrete.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 5

id: 857
unit: def get_class_counts()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 858
unit: def get_node_class_probabilities()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 3

id: 859
unit: def __init__()
file: research/active_learning/active_learning_methods/kcenter_greedy.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 860
unit: def __init__()
file: research/active_learning/active_learning_methods/utils/tree.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 861
unit: def clickgen()
file: research/active_learning/archive/UIComponents/GridWidget.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 2

id: 862
unit: def __init__()
file: research/active_learning/archive/UIComponents/ImageView.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 863
unit: def select_batch_()
file: research/active_learning/sampling_methods/bandit_discrete.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 5

id: 864
unit: def get_class_counts()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 865
unit: def get_node_class_probabilities()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 3

id: 866
unit: def __init__()
file: research/active_learning/sampling_methods/kcenter_greedy.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 867
unit: def __init__()
file: research/active_learning/sampling_methods/utils/tree.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 868
unit: def get_example()
file: research/day_night_classification/iwildcam_dataset.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 869
unit: def add_parent()
file: taxonomy_mapping/taxonomy_graph.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 870
unit: def get_image_rel_path()
file: visualization/visualize_incoming_annotations.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 4

id: 871
unit: def __init__()
file: api/batch_processing/api_core/server_batch_job_manager.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 872
unit: public static void HideProgress()
file: api/batch_processing/integration/eMammal/WPF-integration-app/Common.cs
start line: 102
end line: 110
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 873
unit: private void LogProcessedImages()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegration.cs
start line: 206
end line: 214
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 874
unit: public void ExecuteQuery()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 106
end line: 118
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 875
unit: public DataTable GetProjectDetails()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 207
end line: 217
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 876
unit: public DataTable GetSubProjectDetails()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 218
end line: 229
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 877
unit: def api_results_groupby()
file: api/batch_processing/postprocessing/load_api_results.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 878
unit: def render_bounding_box()
file: archive/classification_marcel/detect_and_predict_image.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 7

id: 879
unit: def _extract_images()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 880
unit: def _validate_image_inputs()
file: archive/classification_marcel/tf-slim/nets/dcgan.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 881
unit: def _fixed_padding()
file: archive/classification_marcel/tf-slim/nets/mobilenet/conv_blocks.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 882
unit: def _fixed_padding()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 883
unit: def _fixed_padding()
file: archive/classification_marcel/tf-slim/nets/mobilenet_v1.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 884
unit: def _cifar_stem()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 885
unit: def get_channel_dim()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 886
unit: def _cell_base()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 887
unit: def preprocess_image()
file: archive/classification_marcel/tf-slim/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 6

id: 888
unit: def find_precision_at_recall()
file: archive/detection/detector_eval/detection_eval_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 6
number of parameters: 3

id: 889
unit: def get_number_empty_seq()
file: benchmark/model_eval_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 890
unit: def load_local_image()
file: classification/crop_detections.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 891
unit: def split_images_list_by_dataset()
file: classification/detect_and_crop.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 892
unit: def extract_features()
file: classification/efficientnet/model.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 893
unit: def remove_non_images()
file: classification/json_validator.py
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end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 5

id: 894
unit: def filter_images()
file: classification/json_validator.py
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end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 5

id: 895
unit: def recall_from_confusion_matrix()
file: classification/train_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 896
unit: def load_frozen_graph()
file: data_management/databases/classification/make_classification_dataset.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 897
unit: def process_list_file()
file: data_management/get_image_sizes.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 898
unit: def _add_image()
file: data_management/importers/eMammal/make_eMammal_json.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 899
unit: def create_zipfile()
file: data_management/importers/idaho-camera-traps.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 900
unit: def __init__()
file: data_management/megadb/megadb_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 901
unit: def remove_exif()
file: data_management/remove_exif.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 902
unit: def __init__()
file: data_management/tfrecords/utils/create_tfrecords.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 903
unit: def find_mAP()
file: detection/detector_eval/detector_eval.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 4

id: 904
unit: def get_pairs()
file: research/active_learning/DL/utils.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 905
unit: def update_vars()
file: research/active_learning/active_learning_methods/bandit_discrete.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 906
unit: def get_pruning_impurity()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 907
unit: def to_dict()
file: research/active_learning/active_learning_methods/mixture_of_samplers.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 908
unit: def select_batch_()
file: research/active_learning/active_learning_methods/uniform_sampling.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 4

id: 909
unit: def delete()
file: research/active_learning/archive/UIComponents/GridWidget.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 6
number of parameters: 2

id: 910
unit: def doJump()
file: research/active_learning/archive/UIComponents/GridWidget.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 911
unit: def getFinal()
file: research/active_learning/archive/UIComponents/Tag.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 1

id: 912
unit: def finetune_embedding()
file: research/active_learning/archive/good_run.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 913
unit: def finetune_embedding()
file: research/active_learning/archive/run_bk.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 914
unit: def updateEmbedding()
file: research/active_learning/archive/sqlite_data_loader_bk.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 915
unit: def __getitem__()
file: research/active_learning/deep_learning/data_loader.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 916
unit: def get_pairs()
file: research/active_learning/deep_learning/utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 917
unit: def update_vars()
file: research/active_learning/sampling_methods/bandit_discrete.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 918
unit: def get_pruning_impurity()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 919
unit: def to_dict()
file: research/active_learning/sampling_methods/mixture_of_samplers.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 920
unit: def select_batch_()
file: research/active_learning/sampling_methods/uniform_sampling.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 4

id: 921
unit: def clasifyDayNight()
file: research/day_night_classification/classfy_night_day.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 922
unit: def resize_bbox()
file: research/day_night_classification/util.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 923
unit: def get_dataset_labels()
file: taxonomy_mapping/taxonomy_graph.py
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end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 2

id: 924
unit: def convert_to_tf_coords()
file: api/batch_processing/api_core/batch_service/score.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 925
unit: def get_num_active_jobs()
file: api/batch_processing/api_core/server_batch_job_manager.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 926
unit: def upload_images_list()
file: api/batch_processing/data_preparation/prepare_api_submission.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 6

id: 927
unit: private void FillDrodownLists()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 350
end line: 357
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 928
unit: protected override void Dispose()
file: api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp/Form.Designer.cs
start line: 17
end line: 24
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 929
unit: static void Main()
file: api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp/Program.cs
start line: 22
end line: 30
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 930
unit: def enumerate_images()
file: api/batch_processing/postprocessing/repeat_detection_elimination/repeat_detections_core.py
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size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 931
unit: def get_dataset()
file: archive/classification_marcel/tf-slim/datasets/dataset_factory.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 932
unit: def image_to_tfexample()
file: archive/classification_marcel/tf-slim/datasets/dataset_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 933
unit: def _dataset_exists()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_flowers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 934
unit: def _optimize_clone()
file: archive/classification_marcel/tf-slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 935
unit: def alexnet_v2_arg_scope()
file: archive/classification_marcel/tf-slim/nets/alexnet.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 936
unit: def _reduced_kernel_size_for_small_input()
file: archive/classification_marcel/tf-slim/nets/inception_v2.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 937
unit: def _reduced_kernel_size_for_small_input()
file: archive/classification_marcel/tf-slim/nets/inception_v3.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 938
unit: def _v1_compatible_scope_naming()
file: archive/classification_marcel/tf-slim/nets/mobilenet/conv_blocks.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 939
unit: def _reduced_kernel_size_for_small_input()
file: archive/classification_marcel/tf-slim/nets/mobilenet_v1.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 940
unit: def global_avg_pool()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 941
unit: def overfeat_arg_scope()
file: archive/classification_marcel/tf-slim/nets/overfeat.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 942
unit: def main()
file: archive/data_management/make_oneclass_json.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 943
unit: def plot_precision_recall()
file: archive/detection/detector_eval/detection_eval_utils.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 944
unit: def enable_cors()
file: archive/runapp.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 945
unit: def make_detection_res()
file: benchmark/model_eval_utils.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 946
unit: def order_spec_dict()
file: classification/csv_to_json.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 947
unit: def forward()
file: classification/efficientnet/model.py
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size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 948
unit: def calculate_output_image_size()
file: classification/efficientnet/utils.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 949
unit: def fig_to_img()
file: classification/train_utils.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 950
unit: def get_annotations_for_image()
file: data_management/cct_json_utils.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 951
unit: def parse_fields()
file: data_management/cct_to_wi.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 952
unit: def main()
file: data_management/databases/remove_corrupted_images_from_database.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 953
unit: def main()
file: data_management/databases/subset_json_db.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 954
unit: def bird_name_to_category_name()
file: data_management/importers/auckland_doc_test_to_json.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 955
unit: def download_relative_urls()
file: data_management/importers/channel_islands_to_cct.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 956
unit: def copy_image_to_output()
file: data_management/importers/channel_islands_to_cct.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 957
unit: def convert_to_tf_coords()
file: detection/run_tf_detector.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 958
unit: def forward()
file: research/active_learning/DL/losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 959
unit: def train_using_fake_labels()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 960
unit: def __init__()
file: research/active_learning/active_learning_methods/informative_diverse.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 961
unit: def fill_parents()
file: research/active_learning/active_learning_methods/utils/tree.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 962
unit: def get_ancestor()
file: research/active_learning/active_learning_methods/utils/tree.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 963
unit: def clear()
file: research/active_learning/archive/UIComponents/ImageView.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 964
unit: def focusOutEvent()
file: research/active_learning/archive/UIComponents/Tag.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 965
unit: def __getitem__()
file: research/active_learning/archive/data_loader.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 966
unit: def custom_policy()
file: research/active_learning/archive/filebased_main.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 967
unit: def custom_policy()
file: research/active_learning/archive/good_run.py
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 968
unit: def main()
file: research/active_learning/archive/run_backup.py
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size: 8 LOC
McCabe index: 2
number of parameters: 0

id: 969
unit: def custom_policy()
file: research/active_learning/archive/run_bk.py
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 970
unit: def getBalancedLoader()
file: research/active_learning/deep_learning/data_loader.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 6

id: 971
unit: def forward()
file: research/active_learning/deep_learning/losses.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 972
unit: def enable_cors()
file: research/active_learning/labeling_tool/runapp.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 973
unit: def custom_policy()
file: research/active_learning/main.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 974
unit: def train_using_fake_labels()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 975
unit: def __init__()
file: research/active_learning/sampling_methods/informative_diverse.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 976
unit: def fill_parents()
file: research/active_learning/sampling_methods/utils/tree.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 977
unit: def get_ancestor()
file: research/active_learning/sampling_methods/utils/tree.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 978
unit: def read_seg_rgb_file()
file: research/airsim/get_gt_from_images.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 1

id: 979
unit: def __init__()
file: taxonomy_mapping/process_species_by_dataset.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 980
unit: def truncate_float()
file: api/batch_processing/api_core/batch_service/score.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 981
unit: def __init__()
file: api/batch_processing/api_core/batch_service/score.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 982
unit: def __convert_coords()
file: api/batch_processing/api_core/batch_service/score.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 983
unit: def _generate_detections_one_image()
file: api/batch_processing/api_core/batch_service/score.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 2

id: 984
unit: def _download_image()
file: api/batch_processing/api_core/batch_service/score.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 985
unit: def _get_allowlist()
file: api/batch_processing/api_core/server_app_config.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 986
unit: def url_to_filename()
file: api/batch_processing/data_preparation/manage_api_submission.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 987
unit: def remove_overflow_folders()
file: api/batch_processing/data_preparation/manage_api_submission.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 988
unit: def remove_overflow_folders()
file: api/batch_processing/data_preparation/manage_local_batch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 989
unit: def divide_files_into_tasks()
file: api/batch_processing/data_preparation/prepare_api_submission.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 990
unit: private void ButtonBrowseJsonClick()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 273
end line: 281
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 991
unit: private bool IsComboBoxLoaded()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 359
end line: 365
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 992
unit: public DataTable GetEmammalTaxas()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 197
end line: 205
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 993
unit: def result_set_name_to_friendly_name()
file: api/batch_processing/postprocessing/postprocess_batch_results.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 994
unit: def truncate_float()
file: api/synchronous/api_core/animal_detection_classification_api/tf_classifer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 995
unit: def _process_dataset()
file: archive/classification_marcel/tf-slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 996
unit: def write_label_file()
file: archive/classification_marcel/tf-slim/datasets/dataset_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 997
unit: def _extract_labels()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 998
unit: def _clean_up_temporary_files()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 999
unit: def GetItem()
file: archive/classification_marcel/tf-slim/datasets/process_bounding_boxes.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 1000
unit: def FindNumberBoundingBoxes()
file: archive/classification_marcel/tf-slim/datasets/process_bounding_boxes.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 1001
unit: def clone_scope()
file: archive/classification_marcel/tf-slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 1002
unit: def lenet_arg_scope()
file: archive/classification_marcel/tf-slim/nets/lenet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1003
unit: def _make_divisible()
file: archive/classification_marcel/tf-slim/nets/mobilenet/conv_blocks.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 1004
unit: def _make_divisible()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 1005
unit: def safe_arg_scope()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 1006
unit: def calc_reduction_layers()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1007
unit: def _operation_to_pooling_shape()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1008
unit: def vgg_arg_scope()
file: archive/classification_marcel/tf-slim/nets/vgg.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1009
unit: def preprocess_image()
file: archive/classification_marcel/tf-slim/preprocessing/lenet_preprocessing.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 1010
unit: def get_im_to_seq_map()
file: archive/detection/eval/analyze_sequence_detection.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 1011
unit: def get_im_to_seq_map()
file: archive/detection/eval/analyze_sequence_detection_one_guess_per_sequence.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 1012
unit: def get_im_to_seq_map()
file: archive/detection/eval/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 1013
unit: def get_class_list()
file: archive/runapp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 1014
unit: def find_precision_at_recall()
file: benchmark/model_eval_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 4

id: 1015
unit: def main()
file: classification/csv_to_json.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 1016
unit: def get_width_and_height_from_size()
file: classification/efficientnet/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 1017
unit: def check_override()
file: classification/evaluate_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 1018
unit: def truncate_float()
file: ct_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 1019
unit: def pretty_print_object()
file: ct_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1020
unit: def order_db_keys()
file: data_management/cct_json_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1021
unit: def __init__()
file: data_management/databases/classification/make_classification_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 1022
unit: def get_image_local_path()
file: data_management/importers/channel_islands_to_cct.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1023
unit: def get_img_size()
file: data_management/importers/eMammal/eMammal_helpers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1024
unit: def draw_ellipse()
file: data_management/importers/plot_wni_giraffes.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 7

id: 1025
unit: def zip_single_file()
file: data_management/importers/snapshot_serengeti_lila.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1026
unit: def get_full_path()
file: data_management/megadb/megadb_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 1027
unit: def find_images()
file: detection/run_tf_detector.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1028
unit: def __init__()
file: detection/run_tf_detector.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 1029
unit: def __convert_coords()
file: detection/run_tf_detector.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 1030
unit: def _generate_detections_one_image()
file: detection/run_tf_detector.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 2

id: 1031
unit: def __init__()
file: research/active_learning/DL/Engine.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 7

id: 1032
unit: def predict_one_batch()
file: research/active_learning/DL/Engine.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 1033
unit: def embedding_one_batch()
file: research/active_learning/DL/Engine.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 1034
unit: def __init__()
file: research/active_learning/DL/losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 1035
unit: def __init__()
file: research/active_learning/DL/losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 1036
unit: def to_dict()
file: research/active_learning/active_learning_methods/bandit_discrete.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1037
unit: def fit_cluster()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1038
unit: def get_node_upper_lower_bounds()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1039
unit: def get_node_admissibility()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 1040
unit: def get_adjusted_error()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 1041
unit: def __init__()
file: research/active_learning/active_learning_methods/utils/tree.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 1042
unit: def __init__()
file: research/active_learning/archive/UI.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1043
unit: def popupShow()
file: research/active_learning/archive/UIComponents/Tag.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1044
unit: def contextMenuEvent()
file: research/active_learning/archive/UIComponents/Tag.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1045
unit: def find_probablemap()
file: research/active_learning/archive/filebased_run_dirty.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 1046
unit: def find_probablemap()
file: research/active_learning/archive/run_backup.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 1047
unit: def __init__()
file: research/active_learning/deep_learning/engine.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 1048
unit: def get_class_list()
file: research/active_learning/labeling_tool/runapp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 1049
unit: def to_dict()
file: research/active_learning/sampling_methods/bandit_discrete.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1050
unit: def fit_cluster()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1051
unit: def get_node_upper_lower_bounds()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1052
unit: def get_node_admissibility()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 1053
unit: def get_adjusted_error()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 1054
unit: def __init__()
file: research/active_learning/sampling_methods/utils/tree.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 1055
unit: def readImage()
file: research/day_night_classification/classfy_night_day.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 1056
unit: def slugify()
file: taxonomy_mapping/process_species_by_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 1057
unit: def taxonomy_row_to_string()
file: taxonomy_mapping/species_lookup.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 1058
unit: def __init__()
file: taxonomy_mapping/taxonomy_graph.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 1059
unit: def draw_bounding_boxes_on_file()
file: visualization/visualization_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 1060
unit: def get_thread_names()
file: api/batch_processing/api_core/server.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 0

id: 1061
unit: def open_file()
file: api/batch_processing/data_preparation/manage_api_submission.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 1062
unit: def open_file()
file: api/batch_processing/data_preparation/manage_local_batch.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 1063
unit: def write_status()
file: api/batch_processing/integration/digiKam/xmp_integration.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 1064
unit: public static void delay()
file: api/batch_processing/integration/eMammal/WPF-integration-app/Common.cs
start line: 111
end line: 116
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 1065
unit: public eMammalIntegrationWindow()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 40
end line: 48
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 1066
unit: private void LoadDeployment()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 343
end line: 348
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 1067
unit: private void SetInvalidJsonError()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 371
end line: 377
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 1068
unit: private JsonData LoadJson()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 440
end line: 445
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 1069
unit: private JsonData LoadJson()
file: api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp/SubsetJsonDetectorOutput.cs
start line: 331
end line: 336
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 1070
unit: def get_positive_categories()
file: api/batch_processing/postprocessing/postprocess_batch_results.py
start line: 0
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unit: def __init__()
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id: 1073
unit: def load_class_names()
file: api/synchronous/api_core/animal_detection_classification_api/tf_classifer.py
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id: 1074
unit: def isImageFile()
file: archive/classification_marcel/detect_and_predict_image.py
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id: 1075
unit: def decode_jpeg()
file: archive/classification_marcel/tf-slim/datasets/build_imagenet_data.py
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unit: def _find_human_readable_labels()
file: archive/classification_marcel/tf-slim/datasets/build_imagenet_data.py
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unit: def _clean_up_temporary_files()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_cifar10.py
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id: 1078
unit: def decode_jpeg()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_flowers.py
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id: 1079
unit: def _clean_up_temporary_files()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_flowers.py
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id: 1080
unit: def inputs_device()
file: archive/classification_marcel/tf-slim/deployment/model_deploy.py
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id: 1081
unit: def _operation_to_filter_shape()
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unit: def preprocess_for_eval()
file: archive/classification_marcel/tf-slim/preprocessing/vgg_preprocessing.py
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id: 1083
unit: def cluster_detections_by_image()
file: archive/detection/eval/utils.py
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id: 1084
unit: def do_options()
file: archive/runapp.py
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id: 1085
unit: def from_name()
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id: 1086
unit: def from_pretrained()
file: classification/efficientnet/model.py
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unit: def decode()
file: classification/efficientnet/utils.py
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id: 1088
unit: def __init__()
file: classification/run_classifier.py
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id: 1089
unit: def old_emammal_anno_image_file_name_to_db_image_id()
file: data_management/annotations/add_bounding_boxes_to_json.py
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id: 1090
unit: def file_name_to_parts()
file: data_management/annotations/add_bounding_boxes_to_megadb.py
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id: 1091
unit: def main()
file: data_management/cct_json_to_filename_json.py
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id: 1092
unit: def plot_histogram()
file: data_management/importers/eMammal/eMammal_helpers.py
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id: 1093
unit: def main()
file: data_management/tfrecords/tools/stat_tfrecords.py
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id: 1094
unit: def decode_jpeg()
file: data_management/tfrecords/utils/create_tfrecords.py
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id: 1095
unit: def find_videos()
file: detection/video_utils.py
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id: 1096
unit: def get_video_fs()
file: detection/video_utils.py
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id: 1097
unit: def __init__()
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unit: def forward()
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unit: def get_AL_sampler()
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unit: def __init__()
file: research/active_learning/active_learning_methods/graph_density.py
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id: 1101
unit: def observe_labels()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
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id: 1102
unit: def initialize_algo()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
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id: 1103
unit: def get_fake_labels()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
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unit: def __init__()
file: research/active_learning/active_learning_methods/represent_cluster_centers.py
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id: 1105
unit: def flatten_X()
file: research/active_learning/active_learning_methods/sampling_def.py
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id: 1106
unit: def doNext()
file: research/active_learning/archive/UIComponents/GridWidget.py
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id: 1107
unit: def doPrevious()
file: research/active_learning/archive/UIComponents/GridWidget.py
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id: 1108
unit: def clear()
file: research/active_learning/archive/UIComponents/GridWidget.py
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id: 1109
unit: def focusInEvent()
file: research/active_learning/archive/UIComponents/Tag.py
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id: 1110
unit: def paintEvent()
file: research/active_learning/archive/UIComponents/Tag.py
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id: 1111
unit: def normalize()
file: research/active_learning/archive/data_loader.py
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unit: def setPool()
file: research/active_learning/deep_learning/active_learning_manager.py
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id: 1113
unit: def do_options()
file: research/active_learning/labeling_tool/runapp.py
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id: 1114
unit: def get_AL_sampler()
file: research/active_learning/sampling_methods/constants.py
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id: 1115
unit: def __init__()
file: research/active_learning/sampling_methods/graph_density.py
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id: 1116
unit: def observe_labels()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
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id: 1117
unit: def initialize_algo()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
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id: 1118
unit: def get_fake_labels()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
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unit: def __init__()
file: research/active_learning/sampling_methods/represent_cluster_centers.py
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id: 1120
unit: def flatten_X()
file: research/active_learning/sampling_methods/sampling_def.py
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id: 1121
unit: def resizeImage()
file: sandbox/ocr_sandbox.py
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id: 1122
unit: def __repr__()
file: taxonomy_mapping/process_species_by_dataset.py
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id: 1123
unit: def get_scientific_name_from_row()
file: taxonomy_mapping/species_lookup.py
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id: 1124
unit: def parents()
file: taxonomy_mapping/taxonomy_graph.py
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id: 1125
unit: def children()
file: taxonomy_mapping/taxonomy_graph.py
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id: 1126
unit: def __init__()
file: api/batch_processing/api_core/server_app_config.py
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id: 1127
unit: def __init__()
file: api/batch_processing/api_core/server_job_status_table.py
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id: 1128
unit: def test_read_invalid_id()
file: api/batch_processing/api_core/server_job_status_table.py
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id: 1129
unit: def get_job_status()
file: api/batch_processing/api_core/server_utils.py
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id: 1130
unit: def get_output_file_urls()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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id: 1131
unit: def clean_request_name()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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id: 1132
unit: def download_url()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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number of parameters: 3

id: 1133
unit: public eMammalIntegration()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegration.cs
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id: 1134
unit: private void WindowClosing()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1135
unit: public void ReactivateButton()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1136
unit: private void DisableButton()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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McCabe index: 1
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id: 1137
unit: private void ComboBoxProjectSelectionChanged()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1138
unit: private void ComboBoxSubProjectSelectionChanged()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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size: 5 LOC
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id: 1139
unit: private void TextBoxJsonTextChanged()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1140
unit: public void Loadproject()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1141
unit: private void LoadSubProject()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1142
unit: private void DisableTabs()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1143
unit: private void EnableTabs()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
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id: 1144
unit: public eMammalMySQLOps()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
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id: 1145
unit: public StringBuilder GetBulkInsertInitialString()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
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id: 1146
unit: public SubsetJsonDetectorOutput()
file: api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp/SubsetJsonDetectorOutput.cs
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id: 1147
unit: def __init__()
file: api/batch_processing/postprocessing/repeat_detection_elimination/repeat_detections_core.py
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id: 1148
unit: def render_bounding_box()
file: api/batch_processing/postprocessing/repeat_detection_elimination/repeat_detections_core.py
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id: 1149
unit: def split_path()
file: api/batch_processing/postprocessing/subset_json_detector_output.py
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id: 1150
unit: def _make_error_object()
file: api/synchronous/api_core/animal_detection_classification_api/runserver.py
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id: 1151
unit: def _convert_numpy_floats()
file: api/synchronous/api_core/animal_detection_classification_api/runserver.py
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id: 1152
unit: def get_model_detector_version()
file: api/synchronous/api_core/animal_detection_classification_api/runserver.py
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id: 1153
unit: def get_test_image()
file: api/synchronous/example/locustfile.py
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id: 1154
unit: def _make_error_object()
file: api_flask_redis/api_core/animal_detection_api/api_frontend.py
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id: 1155
unit: def _has_no_variables()
file: archive/classification_marcel/freeze_graph.py
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id: 1156
unit: def caching_device()
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id: 1157
unit: def optimizer_device()
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id: 1158
unit: def get_learning_rate()
file: archive/classification_marcel/tf-slim/nets/mobilenet_v1_train.py
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id: 1159
unit: def get_quant_delay()
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unit: def _operation_to_num_layers()
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id: 1161
unit: def pnasnet_mobile_arg_scope()
file: archive/classification_marcel/tf-slim/nets/nasnet/pnasnet.py
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id: 1162
unit: def subsample()
file: archive/classification_marcel/tf-slim/nets/resnet_utils.py
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id: 1163
unit: def apply_with_random_selector()
file: archive/classification_marcel/tf-slim/preprocessing/inception_preprocessing.py
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id: 1164
unit: def main()
file: archive/data_management/tfrecords/make_tfrecords_from_json.py
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id: 1165
unit: def frange()
file: archive/detection/eval/analyze_image_detection_using_confidence.py
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id: 1166
unit: def frange()
file: archive/detection/eval/utils.py
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id: 1167
unit: def moveRecords()
file: archive/runapp.py
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id: 1168
unit: def get_gt_db()
file: benchmark/model_eval_utils.py
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id: 1169
unit: def _change_in_channels()
file: classification/efficientnet/model.py
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id: 1170
unit: def round_repeats()
file: classification/efficientnet/utils.py
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id: 1171
unit: def get_same_padding_conv2d()
file: classification/efficientnet/utils.py
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id: 1172
unit: def get_same_padding_maxPool2d()
file: classification/efficientnet/utils.py
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id: 1173
unit: def __init__()
file: classification/efficientnet/utils.py
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id: 1174
unit: def forward()
file: classification/efficientnet/utils.py
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id: 1175
unit: def encode()
file: classification/efficientnet/utils.py
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id: 1176
unit: def reset()
file: classification/train_classifier.py
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id: 1177
unit: def update()
file: classification/train_classifier.py
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id: 1178
unit: def add_to_heap()
file: classification/train_utils.py
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id: 1179
unit: def convert_yolo_to_xywh()
file: ct_utils.py
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id: 1180
unit: def convert_xywh_to_tf()
file: ct_utils.py
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id: 1181
unit: def compare_info_to_template()
file: data_management/cct_to_wi.py
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id: 1182
unit: def close()
file: data_management/databases/classification/make_classification_dataset.py
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id: 1183
unit: def get_total_from_distribution()
file: data_management/importers/eMammal/eMammal_helpers.py
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id: 1184
unit: def create_archive()
file: data_management/importers/snapshot_serengeti_lila.py
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number of parameters: 1

id: 1185
unit: def download_relative_filename()
file: data_management/lila/create_lila_test_set.py
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size: 5 LOC
McCabe index: 1
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id: 1186
unit: def unzip_file()
file: data_management/lila/create_lila_test_set.py
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id: 1187
unit: def download_relative_filename()
file: data_management/lila/download_lila_subset.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 1188
unit: def unzip_file()
file: data_management/lila/download_lila_subset.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1189
unit: def unzip_file()
file: data_management/lila/get_lila_category_counts.py
start line: 0
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1190
unit: def download_relative_filename()
file: data_management/lila/get_lila_category_list.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 1191
unit: def unzip_file()
file: data_management/lila/get_lila_category_list.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1192
unit: def _validate_text()
file: data_management/tfrecords/utils/create_tfrecords.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 1193
unit: def forward()
file: research/active_learning/DL/networks.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 1194
unit: def reset()
file: research/active_learning/DL/utils.py
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number of parameters: 1

id: 1195
unit: def update()
file: research/active_learning/DL/utils.py
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id: 1196
unit: def __init__()
file: research/active_learning/DL/utils.py
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id: 1197
unit: def to_dict()
file: research/active_learning/active_learning_methods/graph_density.py
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McCabe index: 1
number of parameters: 1

id: 1198
unit: def get_node_leaf_counts()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1199
unit: def cluster_data()
file: research/active_learning/active_learning_methods/informative_diverse.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 1200
unit: def __init__()
file: research/active_learning/active_learning_methods/uniform_sampling.py
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number of parameters: 4

id: 1201
unit: def make_tree()
file: research/active_learning/active_learning_methods/utils/tree.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1202
unit: def get_pruning()
file: research/active_learning/active_learning_methods/utils/tree.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1203
unit: def getDistance()
file: research/active_learning/archive/UI.py
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size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 1204
unit: def doLast()
file: research/active_learning/archive/UIComponents/GridWidget.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 1205
unit: def doFirst()
file: research/active_learning/archive/UIComponents/GridWidget.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 1206
unit: def getFinal()
file: research/active_learning/archive/UIComponents/ImageView.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 1207
unit: def speciesChanged()
file: research/active_learning/archive/UIComponents/Tag.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1208
unit: def adjust_lr()
file: research/active_learning/archive/filebased_main.py
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number of parameters: 2

id: 1209
unit: def active_learning2()
file: research/active_learning/archive/filebased_run_dirty.py
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number of parameters: 3

id: 1210
unit: def getDistance()
file: research/active_learning/archive/good_run.py
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McCabe index: 2
number of parameters: 3

id: 1211
unit: def active_learning2()
file: research/active_learning/archive/run_backup.py
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number of parameters: 3

id: 1212
unit: def getDistance()
file: research/active_learning/archive/run_backup.py
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number of parameters: 3

id: 1213
unit: def getDistance()
file: research/active_learning/archive/run_bk.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 1214
unit: def getSingleLoader()
file: research/active_learning/deep_learning/data_loader.py
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McCabe index: 2
number of parameters: 6

id: 1215
unit: def generate_description()
file: research/active_learning/deep_learning/engine.py
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size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 1216
unit: def predict_one_batch()
file: research/active_learning/deep_learning/engine.py
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McCabe index: 1
number of parameters: 3

id: 1217
unit: def embedding_one_batch()
file: research/active_learning/deep_learning/engine.py
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McCabe index: 1
number of parameters: 3

id: 1218
unit: def forward()
file: research/active_learning/deep_learning/networks.py
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McCabe index: 1
number of parameters: 2

id: 1219
unit: def reset()
file: research/active_learning/deep_learning/utils.py
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McCabe index: 1
number of parameters: 1

id: 1220
unit: def update()
file: research/active_learning/deep_learning/utils.py
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number of parameters: 3

id: 1221
unit: def __init__()
file: research/active_learning/deep_learning/utils.py
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McCabe index: 1
number of parameters: 4

id: 1222
unit: def moveRecords()
file: research/active_learning/labeling_tool/runapp.py
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McCabe index: 3
number of parameters: 4

id: 1223
unit: def to_dict()
file: research/active_learning/sampling_methods/graph_density.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 1224
unit: def get_node_leaf_counts()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1225
unit: def cluster_data()
file: research/active_learning/sampling_methods/informative_diverse.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 1226
unit: def __init__()
file: research/active_learning/sampling_methods/uniform_sampling.py
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size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 1227
unit: def make_tree()
file: research/active_learning/sampling_methods/utils/tree.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1228
unit: def get_pruning()
file: research/active_learning/sampling_methods/utils/tree.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 1229
unit: def kill()
file: research/airsim/call_environment_loop.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 1230
unit: def set_segmentation_ids()
file: research/airsim/get_camtrap_images.py
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size: 5 LOC
McCabe index: 4
number of parameters: 3

id: 1231
unit: def clasifyDayNightImage()
file: research/day_night_classification/classfy_night_day.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 1232
unit: def translate_bbox()
file: research/day_night_classification/util.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 1233
unit: def load_image()
file: api/batch_processing/api_core/batch_service/score.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1234
unit: def __repr__()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1235
unit: def force_completion()
file: api/batch_processing/data_preparation/prepare_api_submission.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1236
unit: def browse_folder()
file: api/batch_processing/integration/digiKam/xmp_integration.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1237
unit: def browse_file()
file: api/batch_processing/integration/digiKam/xmp_integration.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1238
unit: def args_to_object()
file: api/batch_processing/integration/digiKam/xmp_integration.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1239
unit: private void WindowInitialized()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalIntegrationWindow.xaml.cs
start line: 51
end line: 54
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1240
unit: public eMammalMySQLOps()
file: api/batch_processing/integration/eMammal/WPF-integration-app/eMammalMySQLOps.cs
start line: 24
end line: 27
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1241
unit: public static int GetProgressPercentage()
file: api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp/StaticFunctions.cs
start line: 11
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1242
unit: private bool StringEquals()
file: api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp/SubsetJsonDetectorOutput.cs
start line: 440
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1243
unit: def write_api_results_csv()
file: api/batch_processing/postprocessing/load_api_results.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1244
unit: def _int64_feature()
file: archive/classification_marcel/tf-slim/datasets/build_imagenet_data.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1245
unit: def _float_feature()
file: archive/classification_marcel/tf-slim/datasets/build_imagenet_data.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1246
unit: def int64_feature()
file: archive/classification_marcel/tf-slim/datasets/dataset_utils.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1247
unit: def float_feature()
file: archive/classification_marcel/tf-slim/datasets/dataset_utils.py
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McCabe index: 2
number of parameters: 1

id: 1248
unit: def _get_dataset_filename()
file: archive/classification_marcel/tf-slim/datasets/download_and_convert_flowers.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1249
unit: def _dynamic_or_static_shape()
file: archive/classification_marcel/tf-slim/nets/cyclegan.py
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McCabe index: 2
number of parameters: 1

id: 1250
unit: def _scope_all()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet.py
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McCabe index: 1
number of parameters: 2

id: 1251
unit: def wrapped_partial()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet_v2.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1252
unit: def mobilenet_base()
file: archive/classification_marcel/tf-slim/nets/mobilenet/mobilenet_v2.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1253
unit: def wrapped_partial()
file: archive/classification_marcel/tf-slim/nets/mobilenet_v1.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1254
unit: def get_channel_index()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1255
unit: def _operation_to_info()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1256
unit: def _operation_to_pooling_info()
file: archive/classification_marcel/tf-slim/nets/nasnet/nasnet_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1257
unit: def pnasnet_large_arg_scope()
file: archive/classification_marcel/tf-slim/nets/nasnet/pnasnet.py
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McCabe index: 1
number of parameters: 3

id: 1258
unit: def make_empty_annotation()
file: archive/data_management/annotations/convert_imerit_json_to_coco_json.py
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McCabe index: 1
number of parameters: 0

id: 1259
unit: def argsToObject()
file: archive/prepare_api_output_for_timelapse.py
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McCabe index: 3
number of parameters: 2

id: 1260
unit: def set_swish()
file: classification/efficientnet/model.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1261
unit: def get_image_size()
file: classification/efficientnet/model.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1262
unit: def forward()
file: classification/efficientnet/utils.py
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McCabe index: 1
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id: 1263
unit: def backward()
file: classification/efficientnet/utils.py
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McCabe index: 1
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id: 1264
unit: def forward()
file: classification/efficientnet/utils.py
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McCabe index: 1
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id: 1265
unit: def args_to_object()
file: ct_utils.py
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McCabe index: 3
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id: 1266
unit: def convert_xywh_to_xyxy()
file: ct_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1267
unit: def annotations_to_classnames()
file: data_management/cct_json_utils.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1268
unit: def __init__()
file: data_management/read_exif.py
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McCabe index: 1
number of parameters: 2

id: 1269
unit: def _int64_feature()
file: data_management/tfrecords/utils/create_tfrecords.py
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McCabe index: 2
number of parameters: 1

id: 1270
unit: def _float_feature()
file: data_management/tfrecords/utils/create_tfrecords.py
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McCabe index: 2
number of parameters: 1

id: 1271
unit: def _bytes_feature()
file: data_management/tfrecords/utils/create_tfrecords.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1272
unit: def is_video_file()
file: detection/video_utils.py
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McCabe index: 1
number of parameters: 2

id: 1273
unit: def __init__()
file: research/active_learning/DL/losses.py
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id: 1274
unit: def __init__()
file: research/active_learning/DL/losses.py
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id: 1275
unit: def __init__()
file: research/active_learning/DL/networks.py
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id: 1276
unit: def __init__()
file: research/active_learning/DL/networks.py
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McCabe index: 1
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id: 1277
unit: def forward()
file: research/active_learning/DL/networks.py
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McCabe index: 1
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id: 1278
unit: def writeback()
file: research/active_learning/DL/sqlite_data_loader.py
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McCabe index: 2
number of parameters: 1

id: 1279
unit: def getSingleLoader()
file: research/active_learning/DL/sqlite_data_loader.py
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McCabe index: 3
number of parameters: 2

id: 1280
unit: def reduce_dimensionality()
file: research/active_learning/DL/utils.py
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McCabe index: 1
number of parameters: 1

id: 1281
unit: def save_checkpoint()
file: research/active_learning/DL/utils.py
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McCabe index: 2
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id: 1282
unit: def adjust_learning_rate()
file: research/active_learning/DL/utils.py
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McCabe index: 2
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id: 1283
unit: def pdist()
file: research/active_learning/DL/utils.py
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McCabe index: 1
number of parameters: 1

id: 1284
unit: def __init__()
file: research/active_learning/active_learning_methods/confidence_sampling.py
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McCabe index: 1
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id: 1285
unit: def __init__()
file: research/active_learning/active_learning_methods/entropy_sampling.py
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McCabe index: 1
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id: 1286
unit: def to_dict()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
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McCabe index: 1
number of parameters: 1

id: 1287
unit: def to_dict()
file: research/active_learning/active_learning_methods/informative_diverse.py
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McCabe index: 1
number of parameters: 1

id: 1288
unit: def __init__()
file: research/active_learning/active_learning_methods/margin_AL.py
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McCabe index: 1
number of parameters: 4

id: 1289
unit: def initialize()
file: research/active_learning/active_learning_methods/mixture_of_samplers.py
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McCabe index: 2
number of parameters: 2

id: 1290
unit: def __init__()
file: research/active_learning/active_learning_methods/sampling_def.py
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McCabe index: 1
number of parameters: 5

id: 1291
unit: def to_dict()
file: research/active_learning/active_learning_methods/simulate_batch.py
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McCabe index: 1
number of parameters: 1

id: 1292
unit: def fill_weights()
file: research/active_learning/active_learning_methods/utils/tree.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1293
unit: def addSpecies()
file: research/active_learning/archive/UIComponents/SpeciesWidget.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1294
unit: def moveRecords()
file: research/active_learning/archive/good_run.py
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McCabe index: 2
number of parameters: 4

id: 1295
unit: def adjust_lr()
file: research/active_learning/archive/good_run.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1296
unit: def adjust_lr()
file: research/active_learning/archive/run_bk.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1297
unit: def getSingleLoader()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1298
unit: def updateEmbedding()
file: research/active_learning/deep_learning/active_learning_manager.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1299
unit: def finetune_embedding()
file: research/active_learning/deep_learning/active_learning_manager.py
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size: 4 LOC
McCabe index: 2
number of parameters: 6

id: 1300
unit: def get_pools()
file: research/active_learning/deep_learning/active_learning_manager.py
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McCabe index: 3
number of parameters: 1

id: 1301
unit: def __init__()
file: research/active_learning/deep_learning/losses.py
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McCabe index: 1
number of parameters: 3

id: 1302
unit: def __init__()
file: research/active_learning/deep_learning/losses.py
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McCabe index: 1
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id: 1303
unit: def __init__()
file: research/active_learning/deep_learning/networks.py
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McCabe index: 1
number of parameters: 5

id: 1304
unit: def reduce_dimensionality()
file: research/active_learning/deep_learning/utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1305
unit: def save_checkpoint()
file: research/active_learning/deep_learning/utils.py
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size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 1306
unit: def pdist()
file: research/active_learning/deep_learning/utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1307
unit: def adjust_lr()
file: research/active_learning/main.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

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unit: def moveRecords()
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unit: def to_dict()
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id: 1317
unit: def fill_weights()
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id: 1318
unit: def clean_df()
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id: 1319
unit: def download_images()
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unit: def load_image()
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id: 1321
unit: def image_filename_to_path()
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unit: def get_all_jobs()
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id: 1324
unit: def make_error()
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id: 1325
unit: def split_list()
file: api/batch_processing/data_preparation/manage_local_batch.py
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id: 1326
unit: def divide_chunks()
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id: 1327
unit: def is_image_file_or_url()
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id: 1328
unit: def start_input_processing()
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id: 1329
unit: def is_sas_url()
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id: 1330
unit: def __repr__()
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unit: def __repr__()
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id: 1332
unit: def to_api_detection()
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id: 1333
unit: def png_to_jpeg()
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id: 1334
unit: def cmyk_to_rgb()
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unit: def __init__()
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unit: def read_image_dims()
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id: 1337
unit: def op()
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unit: def _update_hparams()
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unit: def _operation_to_pooling_type()
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unit: def _check_model_name_is_valid()
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id: 1341
unit: def __init__()
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id: 1342
unit: def write_json()
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unit: def is_image_file()
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id: 1344
unit: def caltech_annotation_image_file_name_to_db_image_id()
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id: 1345
unit: def annotations_to_string()
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id: 1346
unit: def verify_path_exists()
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id: 1347
unit: def pinit()
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id: 1348
unit: def write_exif_results()
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id: 1349
unit: def png_to_jpeg()
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id: 1350
unit: def _is_png()
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id: 1351
unit: def is_image_file()
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unit: def chunks_by_number_of_chunks()
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unit: def get_all_possible_arms()
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unit: def deleteSpecies()
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id: 1397
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id: 1398
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id: 1427
unit: def get_class_names()
file: archive/data_management/tfrecords/make_tfrecords_from_vott.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1428
unit: def index()
file: archive/runapp.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1429
unit: def favicon()
file: archive/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1430
unit: def send_js()
file: archive/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1431
unit: def send_css()
file: archive/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1432
unit: def send_placeholder_image()
file: archive/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1433
unit: def send_image()
file: archive/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1434
unit: def pred_seq_max_conf()
file: benchmark/model_eval_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1435
unit: def set_swish()
file: classification/efficientnet/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 1436
unit: def forward()
file: classification/efficientnet/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1437
unit: def forward()
file: classification/efficientnet/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1438
unit: def __len__()
file: classification/run_classifier.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1439
unit: def __init__()
file: classification/train_classifier.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1440
unit: def __len__()
file: classification/train_classifier.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1441
unit: def prefix_all_keys()
file: classification/train_utils.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 3

id: 1442
unit: def truncate_float_array()
file: ct_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 1443
unit: def idfg_anno_image_file_name_to_db_image_id()
file: data_management/annotations/add_bounding_boxes_to_json.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1444
unit: def rspb_annotation_image_file_name_to_db_image_id()
file: data_management/annotations/add_bounding_boxes_to_json.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1445
unit: def default_annotation_image_file_name_to_db_image_id()
file: data_management/annotations/add_bounding_boxes_to_json.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1446
unit: def list_is_sorted()
file: data_management/importers/idaho-camera-traps.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1447
unit: def is_float_and_nan()
file: data_management/importers/snapshot_safari_importer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1448
unit: def round_to_int()
file: data_management/megadb/converters/megadb_coords_to_abs.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1449
unit: def value()
file: data_management/read_exif.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1450
unit: def last_print_value()
file: data_management/read_exif.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1451
unit: def _str_and_encode()
file: data_management/tfrecords/utils/create_tfrecords.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1452
unit: def find_image_files()
file: detection/run_tf_detector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1453
unit: def round_and_make_float()
file: detection/run_tf_detector.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1454
unit: def find_video_strings()
file: detection/video_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1455
unit: def forward()
file: research/active_learning/DL/networks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1456
unit: def __init__()
file: research/active_learning/DL/networks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1457
unit: def get_embedding()
file: research/active_learning/DL/networks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1458
unit: def embedding_mode()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1459
unit: def image_mode()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1460
unit: def train()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1461
unit: def eval()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1462
unit: def set_kind()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1463
unit: def __len__()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1464
unit: def loader()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1465
unit: def getpaths()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1466
unit: def getallpaths()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1467
unit: def getIDs()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1468
unit: def getallIDs()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1469
unit: def getlabels()
file: research/active_learning/DL/sqlite_data_loader.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1470
unit: def getalllabels()
file: research/active_learning/DL/sqlite_data_loader.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1471
unit: def getClassesInfo()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1472
unit: def __len__()
file: research/active_learning/DL/sqlite_data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1473
unit: def load_checkpoint()
file: research/active_learning/DL/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1474
unit: def __init__()
file: research/active_learning/DL/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1475
unit: def __init__()
file: research/active_learning/DL/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1476
unit: def get_pairs()
file: research/active_learning/DL/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1477
unit: def __init__()
file: research/active_learning/DL/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1478
unit: def get_pairs()
file: research/active_learning/DL/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1479
unit: def __init__()
file: research/active_learning/DL/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1480
unit: def SemihardNegativeTripletSelector()
file: research/active_learning/DL/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1481
unit: def get_child_leaves()
file: research/active_learning/active_learning_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1482
unit: def select_batch_()
file: research/active_learning/active_learning_methods/sampling_def.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1483
unit: def select_batch()
file: research/active_learning/active_learning_methods/sampling_def.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1484
unit: def to_dict()
file: research/active_learning/active_learning_methods/sampling_def.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1485
unit: def set_parent()
file: research/active_learning/active_learning_methods/utils/tree.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1486
unit: def get_node()
file: research/active_learning/active_learning_methods/utils/tree.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1487
unit: def get_child_leaves()
file: research/active_learning/active_learning_methods/utils/tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1488
unit: def onResize()
file: research/active_learning/archive/UIComponents/ImageView.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1489
unit: def mouseReleaseEvent()
file: research/active_learning/archive/UIComponents/Tag.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1490
unit: def getClassesInfo()
file: research/active_learning/archive/data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1491
unit: def getSingleLoader()
file: research/active_learning/archive/data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1492
unit: def __len__()
file: research/active_learning/archive/data_loader.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1493
unit: def train()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1494
unit: def eval()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1495
unit: def embedding_mode()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1496
unit: def image_mode()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1497
unit: def __len__()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1498
unit: def loader()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1499
unit: def getpaths()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1500
unit: def getIDs()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1501
unit: def getlabels()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1502
unit: def getClassesInfo()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1503
unit: def __len__()
file: research/active_learning/archive/sqlite_data_loader_bk.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1504
unit: def getTestSet()
file: research/active_learning/deep_learning/active_learning_manager.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1505
unit: def getTrainSet()
file: research/active_learning/deep_learning/active_learning_manager.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1506
unit: def __len__()
file: research/active_learning/deep_learning/data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1507
unit: def getClassesInfo()
file: research/active_learning/deep_learning/data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1508
unit: def __len__()
file: research/active_learning/deep_learning/data_loader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1509
unit: def forward()
file: research/active_learning/deep_learning/networks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1510
unit: def __init__()
file: research/active_learning/deep_learning/networks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1511
unit: def load_checkpoint()
file: research/active_learning/deep_learning/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1512
unit: def __init__()
file: research/active_learning/deep_learning/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1513
unit: def __init__()
file: research/active_learning/deep_learning/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1514
unit: def get_pairs()
file: research/active_learning/deep_learning/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1515
unit: def __init__()
file: research/active_learning/deep_learning/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1516
unit: def get_pairs()
file: research/active_learning/deep_learning/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1517
unit: def __init__()
file: research/active_learning/deep_learning/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1518
unit: def SemihardNegativeTripletSelector()
file: research/active_learning/deep_learning/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1519
unit: def hook()
file: research/active_learning/experiments/visualize_feature_maps.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1520
unit: def index()
file: research/active_learning/labeling_tool/runapp.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1521
unit: def favicon()
file: research/active_learning/labeling_tool/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1522
unit: def send_js()
file: research/active_learning/labeling_tool/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1523
unit: def send_css()
file: research/active_learning/labeling_tool/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1524
unit: def send_placeholder_image()
file: research/active_learning/labeling_tool/runapp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1525
unit: def send_image()
file: research/active_learning/labeling_tool/runapp.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1526
unit: def get_child_leaves()
file: research/active_learning/sampling_methods/hierarchical_clustering_AL.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1527
unit: def select_batch_()
file: research/active_learning/sampling_methods/sampling_def.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1528
unit: def select_batch()
file: research/active_learning/sampling_methods/sampling_def.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1529
unit: def to_dict()
file: research/active_learning/sampling_methods/sampling_def.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1530
unit: def set_parent()
file: research/active_learning/sampling_methods/utils/tree.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1531
unit: def get_node()
file: research/active_learning/sampling_methods/utils/tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1532
unit: def get_child_leaves()
file: research/active_learning/sampling_methods/utils/tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1533
unit: def __len__()
file: research/day_night_classification/iwildcam_dataset.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1534
unit: def get_class_count()
file: research/day_night_classification/iwildcam_dataset.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1535
unit: def find_files()
file: research/day_night_classification/iwildcam_dataset.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1536
unit: def get_files()
file: research/day_night_classification/iwildcam_dataset.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1537
unit: def get_class_names()
file: research/day_night_classification/iwildcam_dataset.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1538
unit: def google_images_url()
file: taxonomy_mapping/process_species_by_dataset.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1539
unit: def generate_query_id()
file: taxonomy_mapping/process_species_by_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1540
unit: def __init__()
file: taxonomy_mapping/simple_image_download.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1541
unit: def add_dataset_label()
file: taxonomy_mapping/taxonomy_graph.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1542
unit: def path_is_abs()
file: api/batch_processing/postprocessing/separate_detections_into_folders.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 3
number of parameters: 1

id: 1543
unit: def path_is_abs()
file: api/batch_processing/postprocessing/top_folders_to_bottom.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 3
number of parameters: 1