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id: 2
unit: def handler()
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id: 3
unit: def visualize()
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id: 4
unit: def transformation()
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unit: def transformation()
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id: 6
unit: def detect_and_align()
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id: 7
unit: def forward_test()
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id: 8
unit: def predict()
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id: 9
unit: def get_model()
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unit: def get_model()
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id: 11
unit: def post_process()
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id: 12
unit: def compare()
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id: 13
unit: def face_detect_simulate()
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unit: def transformation()
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unit: def body_detect_simulate()
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id: 16
unit: def evaluate_inference_speed()
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unit: def __init__()
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unit: def get_model()
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id: 19
unit: def main()
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id: 20
unit: def inference_with_visualization()
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id: 21
unit: def export()
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id: 22
unit: def get_feature()
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id: 23
unit: def get_model_input()
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id: 24
unit: def get_largest_face()
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id: 25
unit: def __init__()
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unit: def visualize()
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id: 27
unit: def resize()
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id: 28
unit: def get_file_assets()
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id: 29
unit: def get_base64_encoding()
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id: 30
unit: def visualize()
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id: 31
unit: def get_base64_encoding()
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id: 32
unit: def get_base64_encoding()
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unit: def __init__()
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unit: def ping()
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unit: def __init__()
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id: 36
unit: def predict()
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unit: def ping()
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id: 38
unit: def predict()
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unit: def ping()
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id: 40
unit: def eval_without_neo()
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id: 41
unit: def eval_with_neo()
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id: 42
unit: def c()
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id: 43
unit: def __init__()
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id: 44
unit: def zip()
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id: 45
unit: def cp()
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id: 46
unit: def bbox()
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id: 47
unit: def confidence()
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id: 48
unit: def key_points()
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id: 49
unit: def aligned_face_img()
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id: 50
unit: def red()
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id: 51
unit: def green()
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id: 52
unit: def yellow()
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unit: def blue()
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unit: def sh()
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