Upload preprocessor_config.json with huggingface_hub

preprocessor_config.json

@@ -6,15 +6,31 @@
     },
     "resample": "bilinear",
     "normalize": true,
-    "mode": "densenet_preprocess_input",
+    "mode": "efficientnet_v2_preprocess_input",
     "channel_order": "RGB",
-    "mean": [123.675, 116.28, 103.53],
-    "std": [58.395, 57.12, 57.375],
+    "mean": [
+      0.0,
+      0.0,
+      0.0
+    ],
+    "std": [
+      1.0,
+      1.0,
+      1.0
+    ],
     "scale": 1.0,
-    "description": "Use tf.keras.applications.densenet.preprocess_input for automatic preprocessing. For manual TF-Lite: RGB->BGR, subtract ImageNet mean. Note: preprocessor_config.json reserves 'BGR' for DenseNet ImageNet references, but densenet.preprocess_input() works on RGB input and handles the internal conversion."
+    "description": "preprocess_input is identity in TF 2.12+; EfficientNetV2-S includes internal Rescaling layer. Input expects raw [0, 255] float32."
   },
   "input_name": "input_1",
-  "output_name": "output_1",
-  "input_shape": [1, 320, 320, 3],
-  "output_shape": [1, 8]
-}
+  "output_name": "dense_1",
+  "input_shape": [
+    1,
+    320,
+    320,
+    3
+  ],
+  "output_shape": [
+    1,
+    8
+  ]
+}