Update tiny models for PPOCRV5ServerDetForObjectDetection

43483eb verified 3 months ago

3.53 kB

{
  "architectures": [
    "PPOCRV5ServerDetForObjectDetection"
  ],
  "backbone_config": {
    "depths": [
      1,
      1,
      1,
      1
    ],
    "embedding_size": 16,
    "hidden_act": "relu",
    "hidden_sizes": [
      16,
      32,
      64,
      128
    ],
    "initializer_range": 0.02,
    "model_type": "hgnet_v2",
    "num_channels": 3,
    "out_features": [
      "stage1",
      "stage2",
      "stage3",
      "stage4"
    ],
    "out_indices": [
      1,
      2,
      3,
      4
    ],
    "stage_downsample": [
      false,
      true,
      true,
      true
    ],
    "stage_downsample_strides": [
      2,
      2,
      2,
      2
    ],
    "stage_in_channels": [
      16,
      16,
      32,
      64
    ],
    "stage_kernel_size": [
      3,
      3,
      5,
      5
    ],
    "stage_light_block": [
      false,
      false,
      true,
      true
    ],
    "stage_mid_channels": [
      16,
      16,
      32,
      64
    ],
    "stage_names": [
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      "stage1",
      "stage2",
      "stage3",
      "stage4"
    ],
    "stage_num_blocks": [
      1,
      1,
      1,
      1
    ],
    "stage_numb_of_layers": [
      1,
      1,
      1,
      1
    ],
    "stage_out_channels": [
      16,
      32,
      64,
      128
    ],
    "stem_channels": [
      3,
      8,
      16
    ],
    "stem_strides": [
      2,
      1,
      1,
      2,
      1
    ],
    "use_learnable_affine_block": false
  },
  "dtype": "float32",
  "hidden_act": "relu",
  "id2label": {
    "0": "text"
  },
  "interpolate_mode": "nearest",
  "intraclass_block_config": {
    "horizontal_small_to_long_conv_longratio": [
      [
        1,
        7
      ],
      [
        1,
        1
      ],
      [
        0,
        3
      ]
    ],
    "horizontal_small_to_long_conv_midratio": [
      [
        1,
        5
      ],
      [
        1,
        1
      ],
      [
        0,
        2
      ]
    ],
    "horizontal_small_to_long_conv_shortratio": [
      [
        1,
        3
      ],
      [
        1,
        1
      ],
      [
        0,
        1
      ]
    ],
    "reduce_channel": [
      1,
      1,
      0
    ],
    "return_channel": [
      1,
      1,
      0
    ],
    "symmetric_conv_long_longratio": [
      [
        7,
        7
      ],
      [
        1,
        1
      ],
      [
        3,
        3
      ]
    ],
    "symmetric_conv_long_midratio": [
      [
        5,
        5
      ],
      [
        1,
        1
      ],
      [
        2,
        2
      ]
    ],
    "symmetric_conv_long_shortratio": [
      [
        3,
        3
      ],
      [
        1,
        1
      ],
      [
        1,
        1
      ]
    ],
    "vertical_long_to_small_conv_longratio": [
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      [
        1,
        1
      ],
      [
        3,
        0
      ]
    ],
    "vertical_long_to_small_conv_midratio": [
      [
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        1
      ],
      [
        1,
        1
      ],
      [
        2,
        0
      ]
    ],
    "vertical_long_to_small_conv_shortratio": [
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        3,
        1
      ],
      [
        1,
        1
      ],
      [
        1,
        0
      ]
    ]
  },
  "intraclass_block_number": 4,
  "kernel_list": [
    3,
    2,
    2
  ],
  "label2id": null,
  "mode": "large",
  "model_type": "pp_ocrv5_server_det",
  "neck_out_channels": 32,
  "reduce_factor": 2,
  "scale_factor": 2,
  "scale_factor_list": [
    1,
    2,
    4,
    8
  ],
  "transformers_version": "5.16.0.dev0"
}

	{
	"architectures": [
	"PPOCRV5ServerDetForObjectDetection"
	],
	"backbone_config": {
	"depths": [
	1,
	1,
	1,
	1
	],
	"embedding_size": 16,
	"hidden_act": "relu",
	"hidden_sizes": [
	16,
	32,
	64,
	128
	],
	"initializer_range": 0.02,
	"model_type": "hgnet_v2",
	"num_channels": 3,
	"out_features": [
	"stage1",
	"stage2",
	"stage3",
	"stage4"
	],
	"out_indices": [
	1,
	2,
	3,
	4
	],
	"stage_downsample": [
	false,
	true,
	true,
	true
	],
	"stage_downsample_strides": [
	2,
	2,
	2,
	2
	],
	"stage_in_channels": [
	16,
	16,
	32,
	64
	],
	"stage_kernel_size": [
	3,
	3,
	5,
	5
	],
	"stage_light_block": [
	false,
	false,
	true,
	true
	],
	"stage_mid_channels": [
	16,
	16,
	32,
	64
	],
	"stage_names": [
	"stem",
	"stage1",
	"stage2",
	"stage3",
	"stage4"
	],
	"stage_num_blocks": [
	1,
	1,
	1,
	1
	],
	"stage_numb_of_layers": [
	1,
	1,
	1,
	1
	],
	"stage_out_channels": [
	16,
	32,
	64,
	128
	],
	"stem_channels": [
	3,
	8,
	16
	],
	"stem_strides": [
	2,
	1,
	1,
	2,
	1
	],
	"use_learnable_affine_block": false
	},
	"dtype": "float32",
	"hidden_act": "relu",
	"id2label": {
	"0": "text"
	},
	"interpolate_mode": "nearest",
	"intraclass_block_config": {
	"horizontal_small_to_long_conv_longratio": [
	[
	1,
	7
	],
	[
	1,
	1
	],
	[
	0,
	3
	]
	],
	"horizontal_small_to_long_conv_midratio": [
	[
	1,
	5
	],
	[
	1,
	1
	],
	[
	0,
	2
	]
	],
	"horizontal_small_to_long_conv_shortratio": [
	[
	1,
	3
	],
	[
	1,
	1
	],
	[
	0,
	1
	]
	],
	"reduce_channel": [
	1,
	1,
	0
	],
	"return_channel": [
	1,
	1,
	0
	],
	"symmetric_conv_long_longratio": [
	[
	7,
	7
	],
	[
	1,
	1
	],
	[
	3,
	3
	]
	],
	"symmetric_conv_long_midratio": [
	[
	5,
	5
	],
	[
	1,
	1
	],
	[
	2,
	2
	]
	],
	"symmetric_conv_long_shortratio": [
	[
	3,
	3
	],
	[
	1,
	1
	],
	[
	1,
	1
	]
	],
	"vertical_long_to_small_conv_longratio": [
	[
	7,
	1
	],
	[
	1,
	1
	],
	[
	3,
	0
	]
	],
	"vertical_long_to_small_conv_midratio": [
	[
	5,
	1
	],
	[
	1,
	1
	],
	[
	2,
	0
	]
	],
	"vertical_long_to_small_conv_shortratio": [
	[
	3,
	1
	],
	[
	1,
	1
	],
	[
	1,
	0
	]
	]
	},
	"intraclass_block_number": 4,
	"kernel_list": [
	3,
	2,
	2
	],
	"label2id": null,
	"mode": "large",
	"model_type": "pp_ocrv5_server_det",
	"neck_out_channels": 32,
	"reduce_factor": 2,
	"scale_factor": 2,
	"scale_factor_list": [
	1,
	2,
	4,
	8
	],
	"transformers_version": "5.16.0.dev0"
	}