Upload body/body_shape_norm.json with huggingface_hub
Browse files- body/body_shape_norm.json +97 -0
body/body_shape_norm.json
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{
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"model_version": "3.2.0",
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"feature_names": [
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"shoulder_hip_ratio",
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"waist_hip_ratio",
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"waist_shoulder_ratio",
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"bust_hip_ratio",
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"bust_waist_ratio",
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"shoulder_waist_diff",
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"hip_shoulder_diff",
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"hip_waist_diff"
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],
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"mean": [
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0.37780097126960754,
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0.8161380887031555,
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2.200714111328125,
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0.9687443375587463,
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1.1990960836410522,
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-44.1546516418457,
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62.62126541137695,
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18.466611862182617
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],
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"std": [
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0.05251329392194748,
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0.0854557454586029,
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0.3728339374065399,
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0.09726245701313019,
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0.17114204168319702,
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11.966014862060547,
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10.920693397521973,
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9.034283638000488
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],
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"raw_min": [
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0.2409999966621399,
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0.611299991607666,
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1.417099952697754,
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0.6786999702453613,
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0.8282999992370605,
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-76.9000015258789,
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38.099998474121094,
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-4.400000095367432
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],
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"raw_max": [
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0.5447999835014343,
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1.045799970626831,
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3.4370999336242676,
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1.2482999563217163,
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1.700600028038025,
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-18.100000381469727,
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95.0999984741211,
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41.400001525878906
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],
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"normalized_min": [
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-2.6050732135772705,
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-2.397007942199707,
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-2.101778030395508,
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| 57 |
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-2.982079267501831,
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-2.1665985584259033,
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-2.7365293502807617,
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-2.245394706726074,
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-2.531092882156372
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],
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"normalized_max": [
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3.180128335952759,
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2.687494993209839,
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3.3161838054656982,
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2.874239683151245,
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2.930337429046631,
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2.1773874759674072,
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2.9740540981292725,
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2.538484573364258
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],
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"class_names": [
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"Hourglass",
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"Pear",
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"Apple",
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"Rectangle",
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"Inverted Triangle"
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],
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"input": {
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"shape": [
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1,
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8
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],
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"dtype": "float32",
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"note": "standardize raw ratios as (x - mean) / std BEFORE inference"
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},
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"output": {
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"shape": [
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1,
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5
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],
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"dtype": "float32",
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"type": "softmax"
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},
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"note_app_side": "The three *_diff features were trained on raw cm values. The app must divide each diff by hip width before standardizing so the feature becomes dimensionless and equivalent across px/cm scales."
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}
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