config.json

{
  "architectures": [
    "TextNetBackbone"
  ],
  "batch_norm_eps": 1e-05,
  "conv_layer_kernel_sizes": [
    [
      [
        3,
        3
      ],
      [
        3,
        3
      ]
    ],
    [
      [
        3,
        3
      ],
      [
        1,
        3
      ],
      [
        3,
        3
      ],
      [
        3,
        1
      ],
      [
        3,
        3
      ],
      [
        3,
        1
      ],
      [
        1,
        3
      ],
      [
        3,
        3
      ]
    ],
    [
      [
        3,
        3
      ],
      [
        3,
        3
      ],
      [
        1,
        3
      ],
      [
        3,
        1
      ],
      [
        3,
        3
      ],
      [
        1,
        3
      ],
      [
        3,
        1
      ],
      [
        3,
        3
      ]
    ],
    [
      [
        3,
        3
      ],
      [
        3,
        1
      ],
      [
        1,
        3
      ],
      [
        1,
        3
      ],
      [
        3,
        1
      ]
    ]
  ],
  "conv_layer_strides": [
    [
      1,
      2
    ],
    [
      2,
      1,
      1,
      1,
      1,
      1,
      1,
      1
    ],
    [
      2,
      1,
      1,
      1,
      1,
      1,
      1,
      1
    ],
    [
      2,
      1,
      1,
      1,
      1
    ]
  ],
  "depths": [
    2,
    8,
    8,
    5
  ],
  "hidden_sizes": [
    64,
    64,
    128,
    256,
    512
  ],
  "image_size": [
    640,
    640
  ],
  "initializer_range": 0.02,
  "model_type": "textnet",
  "out_features": [
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "out_indices": [
    1,
    2,
    3,
    4
  ],
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "stem_act_func": "relu",
  "stem_kernel_size": 3,
  "stem_num_channels": 3,
  "stem_out_channels": 64,
  "stem_stride": 2,
  "torch_dtype": "float32",
  "transformers_version": "4.48.0.dev0"
}