preprocessor_config.json

{
  "image_processing": {
    "size": {
      "width": 320,
      "height": 320
    },
    "resample": "bilinear",
    "normalize": true,
    "mode": "densenet_preprocess_input",
    "channel_order": "RGB",
    "mean": [123.675, 116.28, 103.53],
    "std": [58.395, 57.12, 57.375],
    "scale": 1.0,
    "description": "Gunakan tf.keras.applications.densenet.preprocess_input untuk preprocessing otomatis. Untuk TF-Lite manual: RGB->BGR, subtract ImageNet mean. Catatan: preprocessor_config.json menyimpan 'BGR' untuk referensi DenseNet ImageNet, tapi densenet.preprocess_input() bekerja pada RGB input dan menangani konversi internal."
  },
  "input_name": "input_1",
  "output_name": "output_1",
  "input_shape": [1, 320, 320, 3],
  "output_shape": [1, 6]
}