Upload UperNetForSemanticSegmentation
Browse files- config.json +435 -0
- pytorch_model.bin +3 -0
config.json
ADDED
@@ -0,0 +1,435 @@
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1 |
+
{
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"_commit_hash": null,
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"architectures": [
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"UperNetForSemanticSegmentation"
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],
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6 |
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"auxiliary_channels": 256,
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"auxiliary_concat_input": false,
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"auxiliary_in_channels": 768,
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"auxiliary_loss_weight": 0.4,
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"auxiliary_num_convs": 1,
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"backbone_config": {
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"_name_or_path": "",
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"add_cross_attention": false,
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"architectures": null,
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"attention_probs_dropout_prob": 0.0,
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16 |
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"bad_words_ids": null,
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17 |
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"begin_suppress_tokens": null,
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18 |
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"bos_token_id": null,
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19 |
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"chunk_size_feed_forward": 0,
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20 |
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"cross_attention_hidden_size": null,
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21 |
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"decoder_start_token_id": null,
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"depths": [
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2,
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2,
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18,
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2
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],
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"diversity_penalty": 0.0,
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"do_sample": false,
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"drop_path_rate": 0.1,
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"early_stopping": false,
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"embed_dim": 192,
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"encoder_no_repeat_ngram_size": 0,
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"encoder_stride": 32,
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35 |
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"eos_token_id": null,
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"exponential_decay_length_penalty": null,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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39 |
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"forced_eos_token_id": null,
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40 |
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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42 |
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"hidden_size": 1536,
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43 |
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"id2label": {
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"0": "LABEL_0",
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45 |
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"1": "LABEL_1"
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46 |
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},
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47 |
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"image_size": 224,
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48 |
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"initializer_range": 0.02,
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49 |
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"is_decoder": false,
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50 |
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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55 |
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"layer_norm_eps": 1e-05,
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"length_penalty": 1.0,
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"max_length": 20,
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58 |
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"min_length": 0,
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59 |
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"mlp_ratio": 4.0,
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60 |
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"model_type": "swin",
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61 |
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"no_repeat_ngram_size": 0,
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62 |
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"num_beam_groups": 1,
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63 |
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"num_beams": 1,
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64 |
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"num_channels": 3,
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65 |
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"num_heads": [
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66 |
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6,
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67 |
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12,
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68 |
+
24,
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69 |
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48
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70 |
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],
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71 |
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"num_layers": 4,
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72 |
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"num_return_sequences": 1,
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73 |
+
"out_features": [
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"stage1",
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75 |
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"stage2",
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"stage3",
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"stage4"
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78 |
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],
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79 |
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"output_attentions": false,
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80 |
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"output_hidden_states": false,
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81 |
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"output_scores": false,
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82 |
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"pad_token_id": null,
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83 |
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"patch_size": 4,
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84 |
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"path_norm": true,
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85 |
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"prefix": null,
|
86 |
+
"problem_type": null,
|
87 |
+
"pruned_heads": {},
|
88 |
+
"qkv_bias": true,
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89 |
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"remove_invalid_values": false,
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90 |
+
"repetition_penalty": 1.0,
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91 |
+
"return_dict": true,
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92 |
+
"return_dict_in_generate": false,
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93 |
+
"sep_token_id": null,
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94 |
+
"stage_names": [
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95 |
+
"stem",
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96 |
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"stage1",
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97 |
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"stage2",
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98 |
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"stage3",
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99 |
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"stage4"
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100 |
+
],
|
101 |
+
"suppress_tokens": null,
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102 |
+
"task_specific_params": null,
|
103 |
+
"temperature": 1.0,
|
104 |
+
"tf_legacy_loss": false,
|
105 |
+
"tie_encoder_decoder": false,
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106 |
+
"tie_word_embeddings": true,
|
107 |
+
"tokenizer_class": null,
|
108 |
+
"top_k": 50,
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109 |
+
"top_p": 1.0,
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110 |
+
"torch_dtype": null,
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111 |
+
"torchscript": false,
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112 |
+
"transformers_version": "4.26.0.dev0",
|
113 |
+
"typical_p": 1.0,
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114 |
+
"use_absolute_embeddings": false,
|
115 |
+
"use_bfloat16": false,
|
116 |
+
"window_size": 12
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117 |
+
},
|
118 |
+
"hidden_size": 512,
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119 |
+
"id2label": {
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120 |
+
"0": "wall",
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121 |
+
"1": "building",
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122 |
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"2": "sky",
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123 |
+
"3": "floor",
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124 |
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"4": "tree",
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125 |
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"5": "ceiling",
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126 |
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"6": "road",
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127 |
+
"7": "bed ",
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128 |
+
"8": "windowpane",
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129 |
+
"9": "grass",
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130 |
+
"10": "cabinet",
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131 |
+
"11": "sidewalk",
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132 |
+
"12": "person",
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133 |
+
"13": "earth",
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134 |
+
"14": "door",
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135 |
+
"15": "table",
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136 |
+
"16": "mountain",
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137 |
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"17": "plant",
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138 |
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"18": "curtain",
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139 |
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"19": "chair",
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140 |
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"20": "car",
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141 |
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"21": "water",
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142 |
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"22": "painting",
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143 |
+
"23": "sofa",
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144 |
+
"24": "shelf",
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145 |
+
"25": "house",
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146 |
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"26": "sea",
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147 |
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"27": "mirror",
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148 |
+
"28": "rug",
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149 |
+
"29": "field",
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150 |
+
"30": "armchair",
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151 |
+
"31": "seat",
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152 |
+
"32": "fence",
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153 |
+
"33": "desk",
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154 |
+
"34": "rock",
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155 |
+
"35": "wardrobe",
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156 |
+
"36": "lamp",
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157 |
+
"37": "bathtub",
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158 |
+
"38": "railing",
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159 |
+
"39": "cushion",
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160 |
+
"40": "base",
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161 |
+
"41": "box",
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162 |
+
"42": "column",
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163 |
+
"43": "signboard",
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164 |
+
"44": "chest of drawers",
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165 |
+
"45": "counter",
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166 |
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"46": "sand",
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167 |
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"47": "sink",
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168 |
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"48": "skyscraper",
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169 |
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"49": "fireplace",
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170 |
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"50": "refrigerator",
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171 |
+
"51": "grandstand",
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172 |
+
"52": "path",
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173 |
+
"53": "stairs",
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174 |
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"54": "runway",
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175 |
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"55": "case",
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176 |
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"56": "pool table",
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177 |
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"57": "pillow",
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178 |
+
"58": "screen door",
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179 |
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"59": "stairway",
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180 |
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"60": "river",
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181 |
+
"61": "bridge",
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182 |
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"62": "bookcase",
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183 |
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"63": "blind",
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184 |
+
"64": "coffee table",
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185 |
+
"65": "toilet",
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186 |
+
"66": "flower",
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187 |
+
"67": "book",
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188 |
+
"68": "hill",
|
189 |
+
"69": "bench",
|
190 |
+
"70": "countertop",
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191 |
+
"71": "stove",
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192 |
+
"72": "palm",
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193 |
+
"73": "kitchen island",
|
194 |
+
"74": "computer",
|
195 |
+
"75": "swivel chair",
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196 |
+
"76": "boat",
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197 |
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"77": "bar",
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198 |
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"78": "arcade machine",
|
199 |
+
"79": "hovel",
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200 |
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"80": "bus",
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201 |
+
"81": "towel",
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202 |
+
"82": "light",
|
203 |
+
"83": "truck",
|
204 |
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"84": "tower",
|
205 |
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"85": "chandelier",
|
206 |
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"86": "awning",
|
207 |
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"87": "streetlight",
|
208 |
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"88": "booth",
|
209 |
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"89": "television receiver",
|
210 |
+
"90": "airplane",
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211 |
+
"91": "dirt track",
|
212 |
+
"92": "apparel",
|
213 |
+
"93": "pole",
|
214 |
+
"94": "land",
|
215 |
+
"95": "bannister",
|
216 |
+
"96": "escalator",
|
217 |
+
"97": "ottoman",
|
218 |
+
"98": "bottle",
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219 |
+
"99": "buffet",
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220 |
+
"100": "poster",
|
221 |
+
"101": "stage",
|
222 |
+
"102": "van",
|
223 |
+
"103": "ship",
|
224 |
+
"104": "fountain",
|
225 |
+
"105": "conveyer belt",
|
226 |
+
"106": "canopy",
|
227 |
+
"107": "washer",
|
228 |
+
"108": "plaything",
|
229 |
+
"109": "swimming pool",
|
230 |
+
"110": "stool",
|
231 |
+
"111": "barrel",
|
232 |
+
"112": "basket",
|
233 |
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"113": "waterfall",
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234 |
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"114": "tent",
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235 |
+
"115": "bag",
|
236 |
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"116": "minibike",
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237 |
+
"117": "cradle",
|
238 |
+
"118": "oven",
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239 |
+
"119": "ball",
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240 |
+
"120": "food",
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241 |
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"121": "step",
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242 |
+
"122": "tank",
|
243 |
+
"123": "trade name",
|
244 |
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"124": "microwave",
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245 |
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"125": "pot",
|
246 |
+
"126": "animal",
|
247 |
+
"127": "bicycle",
|
248 |
+
"128": "lake",
|
249 |
+
"129": "dishwasher",
|
250 |
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"130": "screen",
|
251 |
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"131": "blanket",
|
252 |
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"132": "sculpture",
|
253 |
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"133": "hood",
|
254 |
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"134": "sconce",
|
255 |
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"135": "vase",
|
256 |
+
"136": "traffic light",
|
257 |
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"137": "tray",
|
258 |
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"138": "ashcan",
|
259 |
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"139": "fan",
|
260 |
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"140": "pier",
|
261 |
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"141": "crt screen",
|
262 |
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"142": "plate",
|
263 |
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"143": "monitor",
|
264 |
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"144": "bulletin board",
|
265 |
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"145": "shower",
|
266 |
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"146": "radiator",
|
267 |
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"147": "glass",
|
268 |
+
"148": "clock",
|
269 |
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"149": "flag"
|
270 |
+
},
|
271 |
+
"initializer_range": 0.02,
|
272 |
+
"label2id": {
|
273 |
+
"airplane": 90,
|
274 |
+
"animal": 126,
|
275 |
+
"apparel": 92,
|
276 |
+
"arcade machine": 78,
|
277 |
+
"armchair": 30,
|
278 |
+
"ashcan": 138,
|
279 |
+
"awning": 86,
|
280 |
+
"bag": 115,
|
281 |
+
"ball": 119,
|
282 |
+
"bannister": 95,
|
283 |
+
"bar": 77,
|
284 |
+
"barrel": 111,
|
285 |
+
"base": 40,
|
286 |
+
"basket": 112,
|
287 |
+
"bathtub": 37,
|
288 |
+
"bed ": 7,
|
289 |
+
"bench": 69,
|
290 |
+
"bicycle": 127,
|
291 |
+
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|
292 |
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|
293 |
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|
294 |
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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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|
312 |
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|
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|
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|
315 |
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|
316 |
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|
317 |
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|
318 |
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|
319 |
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"cradle": 117,
|
320 |
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"crt screen": 141,
|
321 |
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|
322 |
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|
323 |
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|
324 |
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|
325 |
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|
326 |
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"door": 14,
|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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|
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|
334 |
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|
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|
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|
337 |
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|
338 |
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|
339 |
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|
340 |
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"grass": 9,
|
341 |
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|
342 |
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|
343 |
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|
344 |
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|
345 |
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|
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|
347 |
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|
348 |
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|
349 |
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|
350 |
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|
351 |
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|
352 |
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|
353 |
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|
354 |
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|
355 |
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|
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|
357 |
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|
358 |
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|
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|
360 |
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|
361 |
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|
362 |
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|
363 |
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|
364 |
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|
365 |
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|
366 |
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|
367 |
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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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|
374 |
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|
375 |
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|
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|
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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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|
383 |
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"sea": 26,
|
384 |
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|
385 |
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|
386 |
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"ship": 103,
|
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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"sky": 2,
|
392 |
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|
393 |
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"sofa": 23,
|
394 |
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"stage": 101,
|
395 |
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|
396 |
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|
397 |
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"step": 121,
|
398 |
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"stool": 110,
|
399 |
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"stove": 71,
|
400 |
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"streetlight": 87,
|
401 |
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"swimming pool": 109,
|
402 |
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"swivel chair": 75,
|
403 |
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"table": 15,
|
404 |
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"tank": 122,
|
405 |
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"television receiver": 89,
|
406 |
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"tent": 114,
|
407 |
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"toilet": 65,
|
408 |
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"towel": 81,
|
409 |
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"tower": 84,
|
410 |
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"trade name": 123,
|
411 |
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"traffic light": 136,
|
412 |
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"tray": 137,
|
413 |
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"tree": 4,
|
414 |
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"truck": 83,
|
415 |
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"van": 102,
|
416 |
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"vase": 135,
|
417 |
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"wall": 0,
|
418 |
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"wardrobe": 35,
|
419 |
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"washer": 107,
|
420 |
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"water": 21,
|
421 |
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"waterfall": 113,
|
422 |
+
"windowpane": 8
|
423 |
+
},
|
424 |
+
"loss_ignore_index": 255,
|
425 |
+
"model_type": "upernet",
|
426 |
+
"pool_scales": [
|
427 |
+
1,
|
428 |
+
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|
429 |
+
3,
|
430 |
+
6
|
431 |
+
],
|
432 |
+
"torch_dtype": "float32",
|
433 |
+
"transformers_version": null,
|
434 |
+
"use_auxiliary_head": true
|
435 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:78069b1c568d6bfc8df0e8b668cc3840c2c37d56fc5b4c568261d13d819e61cc
|
3 |
+
size 940065257
|