Upload body/body_shape_norm.json with huggingface_hub

body/body_shape_norm.json

@@ -1,5 +1,6 @@
 {
-  "model_version": "3.2.0",
+  "model_version": "3.3.0",
+  "feature_schema_version": 2,
   "feature_names": [
     "shoulder_hip_ratio",
     "waist_hip_ratio",
@@ -10,15 +11,26 @@
     "hip_shoulder_diff",
     "hip_waist_diff"
   ],
+  "feature_units": {
+    "shoulder_hip_ratio": "dimensionless (ratio of two widths)",
+    "waist_hip_ratio": "dimensionless (ratio of two widths)",
+    "waist_shoulder_ratio": "dimensionless (ratio of two widths)",
+    "bust_hip_ratio": "dimensionless (ratio of two widths)",
+    "bust_waist_ratio": "dimensionless (ratio of two widths)",
+    "shoulder_waist_diff": "dimensionless (width diff / hip width)",
+    "hip_shoulder_diff": "dimensionless (width diff / hip width)",
+    "hip_waist_diff": "dimensionless (width diff / hip width)"
+  },
+  "hip_cm_reference": 1.0,
   "mean": [
     0.37780097126960754,
     0.8161380887031555,
     2.200714111328125,
     0.9687443375587463,
     1.1990960836410522,
-    -44.1546516418457,
-    62.62126541137695,
-    18.466611862182617
+    -0.43833690881729126,
+    0.6221989393234253,
+    0.18386207520961761
   ],
   "std": [
     0.05251329392194748,
@@ -26,9 +38,9 @@
     0.3728339374065399,
     0.09726245701313019,
     0.17114204168319702,
-    11.966014862060547,
-    10.920693397521973,
-    9.034283638000488
+    0.0974234789609909,
+    0.05251329392194748,
+    0.08545612543821335
   ],
   "raw_min": [
     0.2409999966621399,
@@ -36,9 +48,9 @@
     1.417099952697754,
     0.6786999702453613,
     0.8282999992370605,
-    -76.9000015258789,
-    38.099998474121094,
-    -4.400000095367432
+    -0.7000498175621033,
+    0.45520004630088806,
+    -0.04578861966729164
   ],
   "raw_max": [
     0.5447999835014343,
@@ -46,9 +58,9 @@
     3.4370999336242676,
     1.2482999563217163,
     1.700600028038025,
-    -18.100000381469727,
-    95.0999984741211,
-    41.400001525878906
+    -0.20338687300682068,
+    0.7590000033378601,
+    0.38873669505119324
   ],
   "normalized_min": [
     -2.6050732135772705,
@@ -56,9 +68,9 @@
     -2.101778030395508,
     -2.982079267501831,
     -2.1665985584259033,
-    -2.7365293502807617,
-    -2.245394706726074,
-    -2.531092882156372
+    -2.686343193054199,
+    -3.1801259517669678,
+    -2.687351942062378
   ],
   "normalized_max": [
     3.180128335952759,
@@ -66,9 +78,9 @@
     3.3161838054656982,
     2.874239683151245,
     2.930337429046631,
-    2.1773874759674072,
-    2.9740540981292725,
-    2.538484573364258
+    2.4116365909576416,
+    2.605074882507324,
+    2.3974246978759766
   ],
   "class_names": [
     "Hourglass",
@@ -83,7 +95,7 @@
       8
     ],
     "dtype": "float32",
-    "note": "standardize raw ratios as (x - mean) / std BEFORE inference"
+    "note": "standardize raw values as (x - mean) / std BEFORE inference"
   },
   "output": {
     "shape": [
@@ -93,5 +105,5 @@
     "dtype": "float32",
     "type": "softmax"
   },
-  "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."
+  "note_app_side": "All 8 features are DIMENSIONLESS. Compute them from pose keypoint distances in pixels: ratios as the width ratio directly, and diffs as (widthA - widthB) / hipWidth. Then standardize with mean/std. hip_cm_reference should be ignored (it is 1.0)."
 }