det_v6_medium/config.json

{
    "model_type": "pp_ocrv6_medium_det",
    "mode": "large",
    "upsample_mode": "nearest",
    "upsample_align_mode": 1,
    "backbone_config": {
        "model_type": "pp_lcnet_v4",
        "stem_channels": [3, 64, 128],
        "stem_type": "large",
        "out_features": ["stage1", "stage2", "stage3", "stage4"],
        "out_indices": [1, 2, 3, 4],
        "block_configs": [
            [[3, 128, 128, 1, true], [3, 128, 128, 1, false]],
            [
                [3, 128, 256, 2, false],
                [3, 256, 256, 1, true],
                [3, 256, 256, 1, false]
            ],
            [
                [3, 256, 512, 2, false],
                [3, 512, 512, 1, true],
                [3, 512, 512, 1, false],
                [3, 512, 512, 1, true],
                [3, 512, 512, 1, false]
            ],
            [
                [3, 512, 896, 2, false],
                [3, 896, 896, 1, true],
                [3, 896, 896, 1, false]
            ]
        ]
    },
    "use_lab": false,
    "use_last_conv": true,
    "class_expand": 2048,
    "class_num": 1000,
    "out_indices": [0, 1, 2, 3],
    "neck_out_channels": 256,
    "reduce_factor": 2,
    "intraclass_block_number": 4,
    "intraclass_block_config": {
        "reduce_channel": [1, 1, 0],
        "return_channel": [1, 1, 0],
        "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]],
        "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]],
        "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]]
    },
    "head_in_channels": 1024,
    "scale_factor": 2,
    "scale_factor_list": [1, 2, 4, 8],
    "hidden_act": "relu",
    "kernel_list": [3, 2, 2]
}