Add model

config.json

@@ -0,0 +1,508 @@
+{
+  "architectures": [
+    "MaskFormerForInstanceSegmentation"
+  ],
+  "backbone_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_probs_dropout_prob": 0.0,
+    "bad_words_ids": null,
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+    "chunk_size_feed_forward": 0,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "depths": [
+      2,
+      2,
+      18,
+      2
+    ],
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "drop_path_rate": 0.3,
+    "early_stopping": false,
+    "embed_dim": 96,
+    "encoder_no_repeat_ngram_size": 0,
+    "encoder_stride": 32,
+    "eos_token_id": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "image_size": 224,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-05,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "mlp_ratio": 4.0,
+    "model_type": "swin",
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+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
+    "num_heads": [
+      3,
+      6,
+      12,
+      24
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+    "num_layers": 4,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "patch_size": 4,
+    "path_norm": true,
+    "prefix": null,
+    "pretrain_img_size": 224,
+    "problem_type": null,
+    "pruned_heads": {},
+    "qkv_bias": true,
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.18.0.dev0",
+    "typical_p": 1.0,
+    "use_absolute_embeddings": false,
+    "use_bfloat16": false,
+    "window_size": 7
+  },
+  "ce_weight": 1.0,
+  "cross_entropy_weight": 1.0,
+  "decoder_config": {
+    "_name_or_path": "",
+    "activation_dropout": 0.0,
+    "activation_function": "relu",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_dropout": 0.0,
+    "auxiliary_loss": false,
+    "backbone": "resnet50",
+    "bad_words_ids": null,
+    "bbox_cost": 5,
+    "bbox_loss_coefficient": 5,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "class_cost": 1,
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+    "d_model": 256,
+    "decoder_attention_heads": 8,
+    "decoder_ffn_dim": 2048,
+    "decoder_layerdrop": 0.0,
+    "decoder_layers": 6,
+    "decoder_start_token_id": null,
+    "dice_loss_coefficient": 1,
+    "dilation": false,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.1,
+    "early_stopping": false,
+    "encoder_attention_heads": 8,
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+    "eos_token_id": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "giou_cost": 2,
+    "giou_loss_coefficient": 2,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
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+    "init_xavier_std": 1.0,
+    "is_decoder": false,
+    "is_encoder_decoder": true,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "length_penalty": 1.0,
+    "mask_loss_coefficient": 1,
+    "max_length": 20,
+    "max_position_embeddings": 1024,
+    "min_length": 0,
+    "model_type": "detr",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 6,
+    "num_queries": 100,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "position_embedding_type": "sine",
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "scale_embedding": false,
+    "sep_token_id": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.18.0.dev0",
+    "typical_p": 1.0,
+    "use_bfloat16": false
+  },
+  "dice_weight": 1.0,
+  "fpn_feature_size": 256,
+  "id2label": {
+    "0": "wall",
+    "1": "building",
+    "2": "sky",
+    "3": "floor",
+    "4": "tree",
+    "5": "ceiling",
+    "6": "road, route",
+    "7": "bed",
+    "8": "window ",
+    "9": "grass",
+    "10": "cabinet",
+    "11": "sidewalk, pavement",
+    "12": "person",
+    "13": "earth, ground",
+    "14": "door",
+    "15": "table",
+    "16": "mountain, mount",
+    "17": "plant",
+    "18": "curtain",
+    "19": "chair",
+    "20": "car",
+    "21": "water",
+    "22": "painting, picture",
+    "23": "sofa",
+    "24": "shelf",
+    "25": "house",
+    "26": "sea",
+    "27": "mirror",
+    "28": "rug",
+    "29": "field",
+    "30": "armchair",
+    "31": "seat",
+    "32": "fence",
+    "33": "desk",
+    "34": "rock, stone",
+    "35": "wardrobe, closet, press",
+    "36": "lamp",
+    "37": "tub",
+    "38": "rail",
+    "39": "cushion",
+    "40": "base, pedestal, stand",
+    "41": "box",
+    "42": "column, pillar",
+    "43": "signboard, sign",
+    "44": "chest of drawers, chest, bureau, dresser",
+    "45": "counter",
+    "46": "sand",
+    "47": "sink",
+    "48": "skyscraper",
+    "49": "fireplace",
+    "50": "refrigerator, icebox",
+    "51": "grandstand, covered stand",
+    "52": "path",
+    "53": "stairs",
+    "54": "runway",
+    "55": "case, display case, showcase, vitrine",
+    "56": "pool table, billiard table, snooker table",
+    "57": "pillow",
+    "58": "screen door, screen",
+    "59": "stairway, staircase",
+    "60": "river",
+    "61": "bridge, span",
+    "62": "bookcase",
+    "63": "blind, screen",
+    "64": "coffee table",
+    "65": "toilet, can, commode, crapper, pot, potty, stool, throne",
+    "66": "flower",
+    "67": "book",
+    "68": "hill",
+    "69": "bench",
+    "70": "countertop",
+    "71": "stove",
+    "72": "palm, palm tree",
+    "73": "kitchen island",
+    "74": "computer",
+    "75": "swivel chair",
+    "76": "boat",
+    "77": "bar",
+    "78": "arcade machine",
+    "79": "hovel, hut, hutch, shack, shanty",
+    "80": "bus",
+    "81": "towel",
+    "82": "light",
+    "83": "truck",
+    "84": "tower",
+    "85": "chandelier",
+    "86": "awning, sunshade, sunblind",
+    "87": "street lamp",
+    "88": "booth",
+    "89": "tv",
+    "90": "plane",
+    "91": "dirt track",
+    "92": "clothes",
+    "93": "pole",
+    "94": "land, ground, soil",
+    "95": "bannister, banister, balustrade, balusters, handrail",
+    "96": "escalator, moving staircase, moving stairway",
+    "97": "ottoman, pouf, pouffe, puff, hassock",
+    "98": "bottle",
+    "99": "buffet, counter, sideboard",
+    "100": "poster, posting, placard, notice, bill, card",
+    "101": "stage",
+    "102": "van",
+    "103": "ship",
+    "104": "fountain",
+    "105": "conveyer belt, conveyor belt, conveyer, conveyor, transporter",
+    "106": "canopy",
+    "107": "washer, automatic washer, washing machine",
+    "108": "plaything, toy",
+    "109": "pool",
+    "110": "stool",
+    "111": "barrel, cask",
+    "112": "basket, handbasket",
+    "113": "falls",
+    "114": "tent",
+    "115": "bag",
+    "116": "minibike, motorbike",
+    "117": "cradle",
+    "118": "oven",
+    "119": "ball",
+    "120": "food, solid food",
+    "121": "step, stair",
+    "122": "tank, storage tank",
+    "123": "trade name",
+    "124": "microwave",
+    "125": "pot",
+    "126": "animal",
+    "127": "bicycle",
+    "128": "lake",
+    "129": "dishwasher",
+    "130": "screen",
+    "131": "blanket, cover",
+    "132": "sculpture",
+    "133": "hood, exhaust hood",
+    "134": "sconce",
+    "135": "vase",
+    "136": "traffic light",
+    "137": "tray",
+    "138": "trash can",
+    "139": "fan",
+    "140": "pier",
+    "141": "crt screen",
+    "142": "plate",
+    "143": "monitor",
+    "144": "bulletin board",
+    "145": "shower",
+    "146": "radiator",
+    "147": "glass, drinking glass",
+    "148": "clock",
+    "149": "flag"
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "label2id": {
+    "animal": 126,
+    "arcade machine": 78,
+    "armchair": 30,
+    "awning, sunshade, sunblind": 86,
+    "bag": 115,
+    "ball": 119,
+    "bannister, banister, balustrade, balusters, handrail": 95,
+    "bar": 77,
+    "barrel, cask": 111,
+    "base, pedestal, stand": 40,
+    "basket, handbasket": 112,
+    "bed": 7,
+    "bench": 69,
+    "bicycle": 127,
+    "blanket, cover": 131,
+    "blind, screen": 63,
+    "boat": 76,
+    "book": 67,
+    "bookcase": 62,
+    "booth": 88,
+    "bottle": 98,
+    "box": 41,
+    "bridge, span": 61,
+    "buffet, counter, sideboard": 99,
+    "building": 1,
+    "bulletin board": 144,
+    "bus": 80,
+    "cabinet": 10,
+    "canopy": 106,
+    "car": 20,
+    "case, display case, showcase, vitrine": 55,
+    "ceiling": 5,
+    "chair": 19,
+    "chandelier": 85,
+    "chest of drawers, chest, bureau, dresser": 44,
+    "clock": 148,
+    "clothes": 92,
+    "coffee table": 64,
+    "column, pillar": 42,
+    "computer": 74,
+    "conveyer belt, conveyor belt, conveyer, conveyor, transporter": 105,
+    "counter": 45,
+    "countertop": 70,
+    "cradle": 117,
+    "crt screen": 141,
+    "curtain": 18,
+    "cushion": 39,
+    "desk": 33,
+    "dirt track": 91,
+    "dishwasher": 129,
+    "door": 14,
+    "earth, ground": 13,
+    "escalator, moving staircase, moving stairway": 96,
+    "falls": 113,
+    "fan": 139,
+    "fence": 32,
+    "field": 29,
+    "fireplace": 49,
+    "flag": 149,
+    "floor": 3,
+    "flower": 66,
+    "food, solid food": 120,
+    "fountain": 104,
+    "glass, drinking glass": 147,
+    "grandstand, covered stand": 51,
+    "grass": 9,
+    "hill": 68,
+    "hood, exhaust hood": 133,
+    "house": 25,
+    "hovel, hut, hutch, shack, shanty": 79,
+    "kitchen island": 73,
+    "lake": 128,
+    "lamp": 36,
+    "land, ground, soil": 94,
+    "light": 82,
+    "microwave": 124,
+    "minibike, motorbike": 116,
+    "mirror": 27,
+    "monitor": 143,
+    "mountain, mount": 16,
+    "ottoman, pouf, pouffe, puff, hassock": 97,
+    "oven": 118,
+    "painting, picture": 22,
+    "palm, palm tree": 72,
+    "path": 52,
+    "person": 12,
+    "pier": 140,
+    "pillow": 57,
+    "plane": 90,
+    "plant": 17,
+    "plate": 142,
+    "plaything, toy": 108,
+    "pole": 93,
+    "pool": 109,
+    "pool table, billiard table, snooker table": 56,
+    "poster, posting, placard, notice, bill, card": 100,
+    "pot": 125,
+    "radiator": 146,
+    "rail": 38,
+    "refrigerator, icebox": 50,
+    "river": 60,
+    "road, route": 6,
+    "rock, stone": 34,
+    "rug": 28,
+    "runway": 54,
+    "sand": 46,
+    "sconce": 134,
+    "screen": 130,
+    "screen door, screen": 58,
+    "sculpture": 132,
+    "sea": 26,
+    "seat": 31,
+    "shelf": 24,
+    "ship": 103,
+    "shower": 145,
+    "sidewalk, pavement": 11,
+    "signboard, sign": 43,
+    "sink": 47,
+    "sky": 2,
+    "skyscraper": 48,
+    "sofa": 23,
+    "stage": 101,
+    "stairs": 53,
+    "stairway, staircase": 59,
+    "step, stair": 121,
+    "stool": 110,
+    "stove": 71,
+    "street lamp": 87,
+    "swivel chair": 75,
+    "table": 15,
+    "tank, storage tank": 122,
+    "tent": 114,
+    "toilet, can, commode, crapper, pot, potty, stool, throne": 65,
+    "towel": 81,
+    "tower": 84,
+    "trade name": 123,
+    "traffic light": 136,
+    "trash can": 138,
+    "tray": 137,
+    "tree": 4,
+    "truck": 83,
+    "tub": 37,
+    "tv": 89,
+    "van": 102,
+    "vase": 135,
+    "wall": 0,
+    "wardrobe, closet, press": 35,
+    "washer, automatic washer, washing machine": 107,
+    "water": 21,
+    "window ": 8
+  },
+  "mask_feature_size": 256,
+  "mask_weight": 20.0,
+  "model_type": "maskformer",
+  "no_object_weight": 0.1,
+  "num_attention_heads": 8,
+  "num_hidden_layers": 6,
+  "num_queries": 100,
+  "torch_dtype": "float32",
+  "transformers_version": null,
+  "use_auxiliary_loss": false
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
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+size 253059249