Upload UperNetForSemanticSegmentation
Browse files- config.json +426 -0
- pytorch_model.bin +3 -0
config.json
ADDED
@@ -0,0 +1,426 @@
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1 |
+
{
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2 |
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"_commit_hash": null,
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3 |
+
"architectures": [
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"UperNetForSemanticSegmentation"
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],
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6 |
+
"auxiliary_channels": 256,
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7 |
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"auxiliary_concat_input": false,
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8 |
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"auxiliary_in_channels": 768,
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9 |
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"auxiliary_loss_weight": 0.4,
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10 |
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"auxiliary_num_convs": 1,
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11 |
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"backbone_config": {
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"_name_or_path": "",
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13 |
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"add_cross_attention": false,
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14 |
+
"architectures": null,
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15 |
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"bad_words_ids": null,
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16 |
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"begin_suppress_tokens": null,
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17 |
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"bos_token_id": null,
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18 |
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"chunk_size_feed_forward": 0,
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19 |
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"cross_attention_hidden_size": null,
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20 |
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"decoder_start_token_id": null,
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21 |
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"depths": [
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3,
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23 |
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3,
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24 |
+
27,
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25 |
+
3
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],
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"diversity_penalty": 0.0,
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"do_sample": false,
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29 |
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"drop_path_rate": 0.0,
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30 |
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"early_stopping": false,
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31 |
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"encoder_no_repeat_ngram_size": 0,
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32 |
+
"eos_token_id": null,
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33 |
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"exponential_decay_length_penalty": null,
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34 |
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"finetuning_task": null,
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35 |
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"forced_bos_token_id": null,
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36 |
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"forced_eos_token_id": null,
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37 |
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"hidden_act": "gelu",
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38 |
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"hidden_sizes": [
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192,
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40 |
+
384,
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41 |
+
768,
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42 |
+
1536
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],
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44 |
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"id2label": {
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45 |
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"0": "LABEL_0",
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46 |
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"1": "LABEL_1"
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47 |
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},
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48 |
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"image_size": 224,
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49 |
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"initializer_range": 0.02,
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50 |
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"is_decoder": false,
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51 |
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"is_encoder_decoder": false,
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52 |
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"label2id": {
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53 |
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"LABEL_0": 0,
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54 |
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"LABEL_1": 1
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55 |
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},
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56 |
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 1e-06,
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58 |
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"length_penalty": 1.0,
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59 |
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"max_length": 20,
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60 |
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"min_length": 0,
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61 |
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"model_type": "convnext",
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62 |
+
"no_repeat_ngram_size": 0,
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63 |
+
"num_beam_groups": 1,
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64 |
+
"num_beams": 1,
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65 |
+
"num_channels": 3,
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66 |
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"num_return_sequences": 1,
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67 |
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"num_stages": 4,
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68 |
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"out_features": [
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69 |
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"stage1",
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70 |
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"stage2",
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71 |
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"stage3",
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72 |
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"stage4"
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73 |
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],
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74 |
+
"output_attentions": false,
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75 |
+
"output_hidden_states": false,
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76 |
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"output_scores": false,
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77 |
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"pad_token_id": null,
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78 |
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"patch_size": 4,
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79 |
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"prefix": null,
|
80 |
+
"problem_type": null,
|
81 |
+
"pruned_heads": {},
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82 |
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"remove_invalid_values": false,
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83 |
+
"repetition_penalty": 1.0,
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84 |
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"return_dict": true,
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85 |
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"return_dict_in_generate": false,
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86 |
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"sep_token_id": null,
|
87 |
+
"stage_names": [
|
88 |
+
"stem",
|
89 |
+
"stage1",
|
90 |
+
"stage2",
|
91 |
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"stage3",
|
92 |
+
"stage4"
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93 |
+
],
|
94 |
+
"suppress_tokens": null,
|
95 |
+
"task_specific_params": null,
|
96 |
+
"temperature": 1.0,
|
97 |
+
"tf_legacy_loss": false,
|
98 |
+
"tie_encoder_decoder": false,
|
99 |
+
"tie_word_embeddings": true,
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100 |
+
"tokenizer_class": null,
|
101 |
+
"top_k": 50,
|
102 |
+
"top_p": 1.0,
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103 |
+
"torch_dtype": null,
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104 |
+
"torchscript": false,
|
105 |
+
"transformers_version": "4.26.0.dev0",
|
106 |
+
"typical_p": 1.0,
|
107 |
+
"use_bfloat16": false
|
108 |
+
},
|
109 |
+
"hidden_size": 512,
|
110 |
+
"id2label": {
|
111 |
+
"0": "wall",
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112 |
+
"1": "building",
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113 |
+
"2": "sky",
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114 |
+
"3": "floor",
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115 |
+
"4": "tree",
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116 |
+
"5": "ceiling",
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117 |
+
"6": "road",
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118 |
+
"7": "bed ",
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119 |
+
"8": "windowpane",
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120 |
+
"9": "grass",
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121 |
+
"10": "cabinet",
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122 |
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"11": "sidewalk",
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123 |
+
"12": "person",
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124 |
+
"13": "earth",
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125 |
+
"14": "door",
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126 |
+
"15": "table",
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127 |
+
"16": "mountain",
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128 |
+
"17": "plant",
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129 |
+
"18": "curtain",
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130 |
+
"19": "chair",
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131 |
+
"20": "car",
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132 |
+
"21": "water",
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133 |
+
"22": "painting",
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134 |
+
"23": "sofa",
|
135 |
+
"24": "shelf",
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136 |
+
"25": "house",
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137 |
+
"26": "sea",
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138 |
+
"27": "mirror",
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139 |
+
"28": "rug",
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140 |
+
"29": "field",
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141 |
+
"30": "armchair",
|
142 |
+
"31": "seat",
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143 |
+
"32": "fence",
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144 |
+
"33": "desk",
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145 |
+
"34": "rock",
|
146 |
+
"35": "wardrobe",
|
147 |
+
"36": "lamp",
|
148 |
+
"37": "bathtub",
|
149 |
+
"38": "railing",
|
150 |
+
"39": "cushion",
|
151 |
+
"40": "base",
|
152 |
+
"41": "box",
|
153 |
+
"42": "column",
|
154 |
+
"43": "signboard",
|
155 |
+
"44": "chest of drawers",
|
156 |
+
"45": "counter",
|
157 |
+
"46": "sand",
|
158 |
+
"47": "sink",
|
159 |
+
"48": "skyscraper",
|
160 |
+
"49": "fireplace",
|
161 |
+
"50": "refrigerator",
|
162 |
+
"51": "grandstand",
|
163 |
+
"52": "path",
|
164 |
+
"53": "stairs",
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165 |
+
"54": "runway",
|
166 |
+
"55": "case",
|
167 |
+
"56": "pool table",
|
168 |
+
"57": "pillow",
|
169 |
+
"58": "screen door",
|
170 |
+
"59": "stairway",
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171 |
+
"60": "river",
|
172 |
+
"61": "bridge",
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173 |
+
"62": "bookcase",
|
174 |
+
"63": "blind",
|
175 |
+
"64": "coffee table",
|
176 |
+
"65": "toilet",
|
177 |
+
"66": "flower",
|
178 |
+
"67": "book",
|
179 |
+
"68": "hill",
|
180 |
+
"69": "bench",
|
181 |
+
"70": "countertop",
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182 |
+
"71": "stove",
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183 |
+
"72": "palm",
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184 |
+
"73": "kitchen island",
|
185 |
+
"74": "computer",
|
186 |
+
"75": "swivel chair",
|
187 |
+
"76": "boat",
|
188 |
+
"77": "bar",
|
189 |
+
"78": "arcade machine",
|
190 |
+
"79": "hovel",
|
191 |
+
"80": "bus",
|
192 |
+
"81": "towel",
|
193 |
+
"82": "light",
|
194 |
+
"83": "truck",
|
195 |
+
"84": "tower",
|
196 |
+
"85": "chandelier",
|
197 |
+
"86": "awning",
|
198 |
+
"87": "streetlight",
|
199 |
+
"88": "booth",
|
200 |
+
"89": "television receiver",
|
201 |
+
"90": "airplane",
|
202 |
+
"91": "dirt track",
|
203 |
+
"92": "apparel",
|
204 |
+
"93": "pole",
|
205 |
+
"94": "land",
|
206 |
+
"95": "bannister",
|
207 |
+
"96": "escalator",
|
208 |
+
"97": "ottoman",
|
209 |
+
"98": "bottle",
|
210 |
+
"99": "buffet",
|
211 |
+
"100": "poster",
|
212 |
+
"101": "stage",
|
213 |
+
"102": "van",
|
214 |
+
"103": "ship",
|
215 |
+
"104": "fountain",
|
216 |
+
"105": "conveyer belt",
|
217 |
+
"106": "canopy",
|
218 |
+
"107": "washer",
|
219 |
+
"108": "plaything",
|
220 |
+
"109": "swimming pool",
|
221 |
+
"110": "stool",
|
222 |
+
"111": "barrel",
|
223 |
+
"112": "basket",
|
224 |
+
"113": "waterfall",
|
225 |
+
"114": "tent",
|
226 |
+
"115": "bag",
|
227 |
+
"116": "minibike",
|
228 |
+
"117": "cradle",
|
229 |
+
"118": "oven",
|
230 |
+
"119": "ball",
|
231 |
+
"120": "food",
|
232 |
+
"121": "step",
|
233 |
+
"122": "tank",
|
234 |
+
"123": "trade name",
|
235 |
+
"124": "microwave",
|
236 |
+
"125": "pot",
|
237 |
+
"126": "animal",
|
238 |
+
"127": "bicycle",
|
239 |
+
"128": "lake",
|
240 |
+
"129": "dishwasher",
|
241 |
+
"130": "screen",
|
242 |
+
"131": "blanket",
|
243 |
+
"132": "sculpture",
|
244 |
+
"133": "hood",
|
245 |
+
"134": "sconce",
|
246 |
+
"135": "vase",
|
247 |
+
"136": "traffic light",
|
248 |
+
"137": "tray",
|
249 |
+
"138": "ashcan",
|
250 |
+
"139": "fan",
|
251 |
+
"140": "pier",
|
252 |
+
"141": "crt screen",
|
253 |
+
"142": "plate",
|
254 |
+
"143": "monitor",
|
255 |
+
"144": "bulletin board",
|
256 |
+
"145": "shower",
|
257 |
+
"146": "radiator",
|
258 |
+
"147": "glass",
|
259 |
+
"148": "clock",
|
260 |
+
"149": "flag"
|
261 |
+
},
|
262 |
+
"initializer_range": 0.02,
|
263 |
+
"label2id": {
|
264 |
+
"airplane": 90,
|
265 |
+
"animal": 126,
|
266 |
+
"apparel": 92,
|
267 |
+
"arcade machine": 78,
|
268 |
+
"armchair": 30,
|
269 |
+
"ashcan": 138,
|
270 |
+
"awning": 86,
|
271 |
+
"bag": 115,
|
272 |
+
"ball": 119,
|
273 |
+
"bannister": 95,
|
274 |
+
"bar": 77,
|
275 |
+
"barrel": 111,
|
276 |
+
"base": 40,
|
277 |
+
"basket": 112,
|
278 |
+
"bathtub": 37,
|
279 |
+
"bed ": 7,
|
280 |
+
"bench": 69,
|
281 |
+
"bicycle": 127,
|
282 |
+
"blanket": 131,
|
283 |
+
"blind": 63,
|
284 |
+
"boat": 76,
|
285 |
+
"book": 67,
|
286 |
+
"bookcase": 62,
|
287 |
+
"booth": 88,
|
288 |
+
"bottle": 98,
|
289 |
+
"box": 41,
|
290 |
+
"bridge": 61,
|
291 |
+
"buffet": 99,
|
292 |
+
"building": 1,
|
293 |
+
"bulletin board": 144,
|
294 |
+
"bus": 80,
|
295 |
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"cabinet": 10,
|
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|
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|
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|
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|
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|
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|
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|
303 |
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|
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|
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|
306 |
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|
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|
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|
309 |
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|
310 |
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|
311 |
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|
312 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"grass": 9,
|
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|
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|
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|
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|
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|
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|
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|
339 |
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|
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|
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|
342 |
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|
343 |
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|
344 |
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|
345 |
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|
346 |
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|
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|
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|
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|
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|
351 |
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|
352 |
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|
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|
354 |
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|
355 |
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|
356 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
370 |
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|
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|
372 |
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|
373 |
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|
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"sea": 26,
|
375 |
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|
376 |
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|
377 |
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|
378 |
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|
379 |
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|
380 |
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|
381 |
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|
382 |
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|
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|
384 |
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|
385 |
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|
386 |
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|
387 |
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|
388 |
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|
389 |
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|
390 |
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|
391 |
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"streetlight": 87,
|
392 |
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"swimming pool": 109,
|
393 |
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"swivel chair": 75,
|
394 |
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|
395 |
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|
396 |
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"television receiver": 89,
|
397 |
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"tent": 114,
|
398 |
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"toilet": 65,
|
399 |
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"towel": 81,
|
400 |
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"tower": 84,
|
401 |
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"trade name": 123,
|
402 |
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"traffic light": 136,
|
403 |
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"tray": 137,
|
404 |
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"tree": 4,
|
405 |
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"truck": 83,
|
406 |
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"van": 102,
|
407 |
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"vase": 135,
|
408 |
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"wall": 0,
|
409 |
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"wardrobe": 35,
|
410 |
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"washer": 107,
|
411 |
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"water": 21,
|
412 |
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"waterfall": 113,
|
413 |
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"windowpane": 8
|
414 |
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},
|
415 |
+
"loss_ignore_index": 255,
|
416 |
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"model_type": "upernet",
|
417 |
+
"pool_scales": [
|
418 |
+
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|
419 |
+
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|
420 |
+
3,
|
421 |
+
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|
422 |
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],
|
423 |
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"torch_dtype": "float32",
|
424 |
+
"transformers_version": null,
|
425 |
+
"use_auxiliary_head": true
|
426 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3357f340216a10c8dc341187e6ebe30b4125bcffc3a2b3e7f1e6490a1c38675
|
3 |
+
size 940172357
|