Upload UperNetForSemanticSegmentation

config.json

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+{
+  "_name_or_path": "openmmlab/upernet-swin-tiny",
+  "architectures": [
+    "UperNetForSemanticSegmentation"
+  ],
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_in_channels": 384,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "backbone_config": {
+    "attention_probs_dropout_prob": 0.0,
+    "depths": [
+      2,
+      2,
+      6,
+      2
+    ],
+    "drop_path_rate": 0.1,
+    "embed_dim": 96,
+    "encoder_stride": 32,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 768,
+    "image_size": 224,
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-05,
+    "mlp_ratio": 4.0,
+    "model_type": "swin",
+    "num_heads": [
+      3,
+      6,
+      12,
+      24
+    ],
+    "num_layers": 4,
+    "out_features": [
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      1,
+      2,
+      3,
+      4
+    ],
+    "patch_size": 4,
+    "path_norm": true,
+    "qkv_bias": true,
+    "use_absolute_embeddings": false,
+    "window_size": 7
+  },
+  "hidden_size": 512,
+  "id2label": {
+    "0": "non-cloud",
+    "1": "cloud"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "airplane": 90,
+    "animal": 126,
+    "apparel": 92,
+    "arcade machine": 78,
+    "armchair": 30,
+    "ashcan": 138,
+    "awning": 86,
+    "bag": 115,
+    "ball": 119,
+    "bannister": 95,
+    "bar": 77,
+    "barrel": 111,
+    "base": 40,
+    "basket": 112,
+    "bathtub": 37,
+    "bed ": 7,
+    "bench": 69,
+    "bicycle": 127,
+    "blanket": 131,
+    "blind": 63,
+    "boat": 76,
+    "book": 67,
+    "bookcase": 62,
+    "booth": 88,
+    "bottle": 98,
+    "box": 41,
+    "bridge": 61,
+    "buffet": 99,
+    "building": 1,
+    "bulletin board": 144,
+    "bus": 80,
+    "cabinet": 10,
+    "canopy": 106,
+    "car": 20,
+    "case": 55,
+    "ceiling": 5,
+    "chair": 19,
+    "chandelier": 85,
+    "chest of drawers": 44,
+    "clock": 148,
+    "coffee table": 64,
+    "column": 42,
+    "computer": 74,
+    "conveyer belt": 105,
+    "counter": 45,
+    "countertop": 70,
+    "cradle": 117,
+    "crt screen": 141,
+    "curtain": 18,
+    "cushion": 39,
+    "desk": 33,
+    "dirt track": 91,
+    "dishwasher": 129,
+    "door": 14,
+    "earth": 13,
+    "escalator": 96,
+    "fan": 139,
+    "fence": 32,
+    "field": 29,
+    "fireplace": 49,
+    "flag": 149,
+    "floor": 3,
+    "flower": 66,
+    "food": 120,
+    "fountain": 104,
+    "glass": 147,
+    "grandstand": 51,
+    "grass": 9,
+    "hill": 68,
+    "hood": 133,
+    "house": 25,
+    "hovel": 79,
+    "kitchen island": 73,
+    "lake": 128,
+    "lamp": 36,
+    "land": 94,
+    "light": 82,
+    "microwave": 124,
+    "minibike": 116,
+    "mirror": 27,
+    "monitor": 143,
+    "mountain": 16,
+    "ottoman": 97,
+    "oven": 118,
+    "painting": 22,
+    "palm": 72,
+    "path": 52,
+    "person": 12,
+    "pier": 140,
+    "pillow": 57,
+    "plant": 17,
+    "plate": 142,
+    "plaything": 108,
+    "pole": 93,
+    "pool table": 56,
+    "poster": 100,
+    "pot": 125,
+    "radiator": 146,
+    "railing": 38,
+    "refrigerator": 50,
+    "river": 60,
+    "road": 6,
+    "rock": 34,
+    "rug": 28,
+    "runway": 54,
+    "sand": 46,
+    "sconce": 134,
+    "screen": 130,
+    "screen door": 58,
+    "sculpture": 132,
+    "sea": 26,
+    "seat": 31,
+    "shelf": 24,
+    "ship": 103,
+    "shower": 145,
+    "sidewalk": 11,
+    "signboard": 43,
+    "sink": 47,
+    "sky": 2,
+    "skyscraper": 48,
+    "sofa": 23,
+    "stage": 101,
+    "stairs": 53,
+    "stairway": 59,
+    "step": 121,
+    "stool": 110,
+    "stove": 71,
+    "streetlight": 87,
+    "swimming pool": 109,
+    "swivel chair": 75,
+    "table": 15,
+    "tank": 122,
+    "television receiver": 89,
+    "tent": 114,
+    "toilet": 65,
+    "towel": 81,
+    "tower": 84,
+    "trade name": 123,
+    "traffic light": 136,
+    "tray": 137,
+    "tree": 4,
+    "truck": 83,
+    "van": 102,
+    "vase": 135,
+    "wall": 0,
+    "wardrobe": 35,
+    "washer": 107,
+    "water": 21,
+    "waterfall": 113,
+    "windowpane": 8
+  },
+  "loss_ignore_index": 255,
+  "model_type": "upernet",
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "use_auxiliary_head": true
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
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