huggingface / segment-anything-2 Conditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

Learn more...

Conditional Complexity Overall

There are 500 units with 5,010 lines of code in units (43.8% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
17 medium complex units (871 lines of code)
39 simple units (891 lines of code)
444 very simple units (3,248 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def prepare_prompt_inputs() in training/model/sam2.py	89	25	4
def propagate_in_video_preflight() in sam2/sam2_video_predictor.py	45	25	2
def __init__() in sam2/modeling/sam2_base.py	37	24	15
def val_epoch() in training/trainer.py	84	22	3
def train_epoch() in training/trainer.py	98	20	2
def main() in training/train.py	105	19	1
def remove_object() in sam2/sam2_video_predictor.py	81	17	5
def transform_datapoint() in training/dataset/transforms.py	48	15	2
def all_gather() in training/utils/distributed.py	50	15	4
def all_gather_via_filesys() in training/utils/distributed.py	36	14	3
def select_closest_cond_frames() in sam2/modeling/sam2_utils.py	23	14	3
def __call__() in training/dataset/transforms.py	32	13	3
def __init__() in training/model/sam2.py	25	12	14
def feed_frame() in sav_dataset/utils/sav_benchmark.py	41	12	3
def sample() in training/dataset/vos_sampler.py	29	11	4
def _setup_components() in training/trainer.py	34	11	1
def filter() in sam2/utils/amg.py	14	11	2
def construct() in training/dataset/vos_dataset.py	41	10	4
def resize() in training/dataset/transforms.py	37	10	6
def get_video() in training/dataset/vos_raw_dataset.py	32	9	2
def save_checkpoint() in training/trainer.py	32	9	3
def _log_meters_and_save_best_ckpts() in training/trainer.py	25	9	2
def __call__() in sav_dataset/utils/sav_benchmark.py	21	9	2
def sample_random_points_from_errors() in sam2/modeling/sam2_utils.py	22	9	3
def get_sdpa_settings() in sam2/utils/misc.py	24	9	0
def __next__() in training/dataset/sam2_datasets.py	16	8	1
def get_loader() in training/dataset/sam2_datasets.py	33	8	2
def load() in training/dataset/vos_segment_loader.py	28	8	3
def get_valid_obj_frames_ids() in training/dataset/vos_segment_loader.py	12	8	2
def get_size_with_aspect_ratio() in training/dataset/transforms.py	16	8	3
def collect_dict_keys() in training/utils/train_utils.py	13	8	1
def _get_meters() in training/trainer.py	13	8	2
def _seg2bmap() in sav_dataset/utils/sav_benchmark.py	33	8	3
def _use_mask_as_output() in sam2/modeling/sam2_base.py	39	8	4
def sample_one_point_from_error_center() in sam2/modeling/sam2_utils.py	37	8	3
def _get_datapoint() in training/dataset/vos_dataset.py	22	7	2
def pad() in training/dataset/transforms.py	30	7	4
def _prepare_backbone_features_per_frame() in training/model/sam2.py	18	7	3
def get_state_dict() in training/utils/checkpoint_utils.py	17	7	2
def _check_val_key_match() in training/trainer.py	18	7	3
def step_schedulers() in training/optimizer.py	16	7	3
def cat() in sam2/utils/amg.py	12	7	2
def _get_maskmem_pos_enc() in sam2/sam2_video_predictor.py	17	7	3
def __init__() in training/dataset/vos_segment_loader.py	19	6	5
def __call__() in training/dataset/transforms.py	10	6	3
def __call__() in training/dataset/transforms.py	10	6	3
def __init__() in training/dataset/transforms.py	18	6	6
def assert_skipped_parameters_are_frozen() in training/utils/checkpoint_utils.py	15	6	2
def create_new_process_group() in training/utils/distributed.py	20	6	1
def run() in training/trainer.py	16	6	1