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Add config from convert_relation_detr_original_pytorch_checkpoint_to_pytorch.py

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  1. README.md +199 -0
  2. config.json +236 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+ ### Model Description
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ ## How to Get Started with the Model
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+ ## Training Details
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config.json ADDED
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+ {
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+ "_attn_implementation_autoset": true,
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "attention_dropout": 0.0,
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+ "backbone": "swin_large_patch4_window7_224",
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+ "backbone_config": null,
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+ "backbone_kwargs": {
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+ "dynamic_img_pad": true,
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+ "img_size": null,
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+ "out_indices": [
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+ 1,
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+ 2,
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+ 3
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+ ],
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+ "strict_img_size": false
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+ },
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+ "backbone_post_layer_norm": false,
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+ "bbox_cost": 5,
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+ "bbox_loss_coefficient": 5,
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+ "box_noise_scale": 1.0,
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+ "class_cost": 2,
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+ "class_loss_coefficient": 1,
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+ "d_model": 256,
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+ "d_relation": 16,
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+ "decoder_attention_heads": 8,
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+ "decoder_ffn_dim": 2048,
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+ "decoder_layers": 6,
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+ "decoder_n_points": 4,
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+ "disable_custom_kernels": false,
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+ "dropout": 0.0,
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+ "encoder_attention_heads": 8,
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+ "encoder_ffn_dim": 2048,
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+ "encoder_layers": 6,
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+ "encoder_n_points": 4,
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+ "focal_alpha": 0.25,
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+ "focal_gamma": 2.0,
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+ "giou_cost": 2,
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+ "giou_loss_coefficient": 2,
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+ "hybrid_assign": 6,
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+ "hybrid_queries": 1500,
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+ "id2label": {
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+ "0": "none",
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+ "1": "person",
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+ "2": "bicycle",
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+ "3": "car",
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+ "4": "motorcycle",
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+ "5": "airplane",
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+ "6": "bus",
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+ "7": "train",
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+ "8": "truck",
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+ "9": "boat",
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+ "10": "traffic light",
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+ "11": "fire hydrant",
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+ "12": "none",
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+ "13": "stop sign",
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+ "14": "parking meter",
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+ "15": "bench",
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+ "16": "bird",
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+ "17": "cat",
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+ "18": "dog",
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+ "19": "horse",
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+ "20": "sheep",
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+ "21": "cow",
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+ "22": "elephant",
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+ "23": "bear",
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+ "24": "zebra",
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+ "25": "giraffe",
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+ "26": "none",
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+ "27": "backpack",
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+ "28": "umbrella",
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+ "29": "none",
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+ "30": "none",
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+ "31": "handbag",
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+ "32": "tie",
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+ "33": "suitcase",
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+ "34": "frisbee",
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+ "35": "skis",
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+ "36": "snowboard",
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+ "37": "sports ball",
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+ "38": "kite",
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+ "39": "baseball bat",
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+ "40": "baseball glove",
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+ "41": "skateboard",
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+ "42": "surfboard",
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+ "43": "tennis racket",
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+ "44": "bottle",
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+ "45": "none",
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+ "46": "wine glass",
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+ "47": "cup",
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+ "48": "fork",
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+ "49": "knife",
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+ "50": "spoon",
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+ "51": "bowl",
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+ "52": "banana",
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+ "53": "apple",
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+ "54": "sandwich",
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+ "55": "orange",
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+ "56": "broccoli",
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+ "57": "carrot",
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+ "58": "hot dog",
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+ "59": "pizza",
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+ "60": "donut",
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+ "61": "cake",
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+ "62": "chair",
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+ "63": "couch",
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+ "64": "potted plant",
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+ "65": "bed",
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+ "66": "none",
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+ "67": "dining table",
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+ "68": "none",
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+ "69": "none",
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+ "70": "toilet",
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+ "71": "none",
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+ "72": "tv",
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+ "73": "laptop",
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+ "74": "mouse",
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+ "75": "remote",
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+ "76": "keyboard",
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+ "77": "cell phone",
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+ "78": "microwave",
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+ "79": "oven",
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+ "80": "toaster",
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+ "81": "sink",
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+ "82": "refrigerator",
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+ "83": "none",
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+ "84": "book",
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+ "85": "clock",
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+ "86": "vase",
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+ "87": "scissors",
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+ "88": "teddy bear",
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+ "89": "hair drier",
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+ "90": "toothbrush"
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+ },
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+ "init_std": 0.02,
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+ "init_xavier_std": 1.0,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "airplane": 5,
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+ "apple": 53,
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+ "backpack": 27,
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+ "banana": 52,
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+ "baseball bat": 39,
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+ "baseball glove": 40,
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+ "bear": 23,
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+ "bed": 65,
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+ "bench": 15,
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+ "bicycle": 2,
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+ "bird": 16,
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+ "boat": 9,
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+ "book": 84,
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+ "bottle": 44,
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+ "bowl": 51,
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+ "broccoli": 56,
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+ "bus": 6,
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+ "cake": 61,
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+ "car": 3,
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+ "carrot": 57,
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+ "cat": 17,
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+ "cell phone": 77,
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+ "chair": 62,
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+ "clock": 85,
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+ "couch": 63,
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+ "cow": 21,
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+ "cup": 47,
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+ "dining table": 67,
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+ "dog": 18,
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+ "donut": 60,
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+ "elephant": 22,
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+ "fire hydrant": 11,
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+ "fork": 48,
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+ "frisbee": 34,
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+ "giraffe": 25,
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+ "hair drier": 89,
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+ "handbag": 31,
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+ "horse": 19,
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+ "hot dog": 58,
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+ "keyboard": 76,
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+ "kite": 38,
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+ "knife": 49,
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+ "laptop": 73,
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+ "microwave": 78,
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+ "motorcycle": 4,
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+ "mouse": 74,
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+ "none": 83,
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+ "orange": 55,
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+ "oven": 79,
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+ "parking meter": 14,
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+ "person": 1,
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+ "pizza": 59,
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+ "potted plant": 64,
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+ "refrigerator": 82,
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+ "remote": 75,
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+ "sandwich": 54,
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+ "scissors": 87,
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+ "sheep": 20,
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+ "sink": 81,
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+ "skateboard": 41,
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+ "skis": 35,
200
+ "snowboard": 36,
201
+ "spoon": 50,
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+ "sports ball": 37,
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+ "stop sign": 13,
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+ "suitcase": 33,
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+ "surfboard": 42,
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+ "teddy bear": 88,
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+ "tennis racket": 43,
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+ "tie": 32,
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+ "toaster": 80,
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+ "toilet": 70,
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+ "toothbrush": 90,
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+ "traffic light": 10,
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+ "train": 7,
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+ "truck": 8,
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+ "tv": 72,
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+ "umbrella": 28,
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+ "vase": 86,
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+ "wine glass": 46,
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+ "zebra": 24
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+ },
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+ "label_noise_ratio": 0.5,
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+ "model_type": "relation_detr",
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+ "num_denoising": 100,
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+ "num_feature_levels": 4,
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+ "num_queries": 900,
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+ "rel_scale": 100,
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+ "rel_temperature": 10000,
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+ "sin_cos_normalize": true,
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+ "sin_cos_offset": -0.5,
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+ "sin_cos_scale": 6.283185307179586,
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+ "sin_cos_temperature": 10000,
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+ "transformers_version": "4.47.0.dev0",
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+ "two_stage_binary_cls": false,
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+ "use_pretrained_backbone": false,
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+ "use_timm_backbone": true
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+ }