Upload MaskFormerForInstanceSegmentation
Browse files- config.json +495 -0
- pytorch_model.bin +3 -0
config.json
ADDED
@@ -0,0 +1,495 @@
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1 |
+
{
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2 |
+
"_commit_hash": "6628e1a5bf23dd6666edd1f0867e46458a94706c",
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3 |
+
"_name_or_path": "facebook/maskformer-swin-base-coco",
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4 |
+
"architectures": [
|
5 |
+
"MaskFormerForInstanceSegmentation"
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6 |
+
],
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7 |
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"backbone_config": {
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8 |
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"_name_or_path": "",
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9 |
+
"add_cross_attention": false,
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10 |
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"architectures": null,
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11 |
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"attention_probs_dropout_prob": 0.0,
|
12 |
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"bad_words_ids": null,
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"begin_suppress_tokens": null,
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"bos_token_id": null,
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"chunk_size_feed_forward": 0,
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"cross_attention_hidden_size": null,
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"decoder_start_token_id": null,
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18 |
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"depths": [
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19 |
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2,
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20 |
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2,
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21 |
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18,
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22 |
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2
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23 |
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],
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24 |
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"diversity_penalty": 0.0,
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25 |
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"do_sample": false,
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26 |
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"drop_path_rate": 0.3,
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27 |
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"early_stopping": false,
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28 |
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"embed_dim": 128,
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29 |
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"encoder_no_repeat_ngram_size": 0,
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30 |
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"encoder_stride": 32,
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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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"forced_eos_token_id": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
|
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"hidden_size": 1024,
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39 |
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"id2label": {
|
40 |
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"0": "LABEL_0",
|
41 |
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"1": "LABEL_1"
|
42 |
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},
|
43 |
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"image_size": 384,
|
44 |
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"in_channels": 3,
|
45 |
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"initializer_range": 0.02,
|
46 |
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"is_decoder": false,
|
47 |
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"is_encoder_decoder": false,
|
48 |
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"label2id": {
|
49 |
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"LABEL_0": 0,
|
50 |
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"LABEL_1": 1
|
51 |
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},
|
52 |
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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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"min_length": 0,
|
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"mlp_ratio": 4.0,
|
57 |
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"model_type": "swin",
|
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"no_repeat_ngram_size": 0,
|
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"num_beam_groups": 1,
|
60 |
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"num_beams": 1,
|
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"num_channels": 3,
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62 |
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"num_heads": [
|
63 |
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4,
|
64 |
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8,
|
65 |
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16,
|
66 |
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32
|
67 |
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],
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"num_layers": 4,
|
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"num_return_sequences": 1,
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"out_features": null,
|
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": null,
|
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"patch_size": 4,
|
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"path_norm": true,
|
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"prefix": null,
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"pretrain_img_size": 384,
|
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"problem_type": null,
|
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"pruned_heads": {},
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"qkv_bias": true,
|
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"remove_invalid_values": false,
|
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"repetition_penalty": 1.0,
|
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"return_dict": true,
|
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"return_dict_in_generate": false,
|
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"sep_token_id": null,
|
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"stage_names": [
|
88 |
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"stem",
|
89 |
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"stage1",
|
90 |
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"stage2",
|
91 |
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"stage3",
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92 |
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"stage4"
|
93 |
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],
|
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"suppress_tokens": null,
|
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"task_specific_params": null,
|
96 |
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"temperature": 1.0,
|
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"tf_legacy_loss": false,
|
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"tie_encoder_decoder": false,
|
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"tie_word_embeddings": true,
|
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"tokenizer_class": null,
|
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.26.0.dev0",
|
106 |
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"typical_p": 1.0,
|
107 |
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"use_absolute_embeddings": false,
|
108 |
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"use_bfloat16": false,
|
109 |
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"window_size": 12
|
110 |
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},
|
111 |
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"ce_weight": 1.0,
|
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"cross_entropy_weight": 1.0,
|
113 |
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"decoder_config": {
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"_name_or_path": "",
|
115 |
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"activation_dropout": 0.0,
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"activation_function": "relu",
|
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"add_cross_attention": false,
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"architectures": null,
|
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"attention_dropout": 0.0,
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120 |
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"auxiliary_loss": false,
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"backbone": "resnet50",
|
122 |
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"bad_words_ids": null,
|
123 |
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"bbox_cost": 5,
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124 |
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"bbox_loss_coefficient": 5,
|
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"begin_suppress_tokens": null,
|
126 |
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"bos_token_id": null,
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"chunk_size_feed_forward": 0,
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"class_cost": 1,
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"cross_attention_hidden_size": null,
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"d_model": 256,
|
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
|
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"decoder_layerdrop": 0.0,
|
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"decoder_layers": 6,
|
135 |
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"decoder_start_token_id": null,
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"dice_loss_coefficient": 1,
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137 |
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"dilation": false,
|
138 |
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"diversity_penalty": 0.0,
|
139 |
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"do_sample": false,
|
140 |
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"dropout": 0.1,
|
141 |
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"early_stopping": false,
|
142 |
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"encoder_attention_heads": 8,
|
143 |
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"encoder_ffn_dim": 2048,
|
144 |
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"encoder_layerdrop": 0.0,
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145 |
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"encoder_layers": 6,
|
146 |
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"encoder_no_repeat_ngram_size": 0,
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"eos_coefficient": 0.1,
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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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"forced_eos_token_id": null,
|
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"giou_cost": 2,
|
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"giou_loss_coefficient": 2,
|
155 |
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"id2label": {
|
156 |
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"0": "LABEL_0",
|
157 |
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"1": "LABEL_1"
|
158 |
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},
|
159 |
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"init_std": 0.02,
|
160 |
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"init_xavier_std": 1.0,
|
161 |
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"is_decoder": false,
|
162 |
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"is_encoder_decoder": true,
|
163 |
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"label2id": {
|
164 |
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"LABEL_0": 0,
|
165 |
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"LABEL_1": 1
|
166 |
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},
|
167 |
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"length_penalty": 1.0,
|
168 |
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"mask_loss_coefficient": 1,
|
169 |
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"max_length": 20,
|
170 |
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"max_position_embeddings": 1024,
|
171 |
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"min_length": 0,
|
172 |
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"model_type": "detr",
|
173 |
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"no_repeat_ngram_size": 0,
|
174 |
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"num_beam_groups": 1,
|
175 |
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"num_beams": 1,
|
176 |
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"num_channels": 3,
|
177 |
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"num_hidden_layers": 6,
|
178 |
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"num_queries": 100,
|
179 |
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"num_return_sequences": 1,
|
180 |
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"output_attentions": false,
|
181 |
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"output_hidden_states": false,
|
182 |
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"output_scores": false,
|
183 |
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"pad_token_id": null,
|
184 |
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"position_embedding_type": "sine",
|
185 |
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"prefix": null,
|
186 |
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"problem_type": null,
|
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
|
190 |
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"return_dict": true,
|
191 |
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"return_dict_in_generate": false,
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"scale_embedding": false,
|
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"sep_token_id": null,
|
194 |
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
|
198 |
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"tie_encoder_decoder": false,
|
199 |
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"tie_word_embeddings": true,
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"tokenizer_class": null,
|
201 |
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"top_k": 50,
|
202 |
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"top_p": 1.0,
|
203 |
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"torch_dtype": null,
|
204 |
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"torchscript": false,
|
205 |
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"transformers_version": "4.26.0.dev0",
|
206 |
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"typical_p": 1.0,
|
207 |
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"use_bfloat16": false,
|
208 |
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"use_pretrained_backbone": true
|
209 |
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},
|
210 |
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"dice_weight": 1.0,
|
211 |
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"fpn_feature_size": 256,
|
212 |
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"id2label": {
|
213 |
+
"0": "person",
|
214 |
+
"1": "bicycle",
|
215 |
+
"2": "car",
|
216 |
+
"3": "motorcycle",
|
217 |
+
"4": "airplane",
|
218 |
+
"5": "bus",
|
219 |
+
"6": "train",
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220 |
+
"7": "truck",
|
221 |
+
"8": "boat",
|
222 |
+
"9": "traffic light",
|
223 |
+
"10": "fire hydrant",
|
224 |
+
"11": "stop sign",
|
225 |
+
"12": "parking meter",
|
226 |
+
"13": "bench",
|
227 |
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"14": "bird",
|
228 |
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"15": "cat",
|
229 |
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"16": "dog",
|
230 |
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"17": "horse",
|
231 |
+
"18": "sheep",
|
232 |
+
"19": "cow",
|
233 |
+
"20": "elephant",
|
234 |
+
"21": "bear",
|
235 |
+
"22": "zebra",
|
236 |
+
"23": "giraffe",
|
237 |
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"24": "backpack",
|
238 |
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"25": "umbrella",
|
239 |
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"26": "handbag",
|
240 |
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"27": "tie",
|
241 |
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"28": "suitcase",
|
242 |
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"29": "frisbee",
|
243 |
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"30": "skis",
|
244 |
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"31": "snowboard",
|
245 |
+
"32": "sports ball",
|
246 |
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"33": "kite",
|
247 |
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"34": "baseball bat",
|
248 |
+
"35": "baseball glove",
|
249 |
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"36": "skateboard",
|
250 |
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"37": "surfboard",
|
251 |
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"38": "tennis racket",
|
252 |
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"39": "bottle",
|
253 |
+
"40": "wine glass",
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254 |
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"41": "cup",
|
255 |
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"42": "fork",
|
256 |
+
"43": "knife",
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257 |
+
"44": "spoon",
|
258 |
+
"45": "bowl",
|
259 |
+
"46": "banana",
|
260 |
+
"47": "apple",
|
261 |
+
"48": "sandwich",
|
262 |
+
"49": "orange",
|
263 |
+
"50": "broccoli",
|
264 |
+
"51": "carrot",
|
265 |
+
"52": "hot dog",
|
266 |
+
"53": "pizza",
|
267 |
+
"54": "donut",
|
268 |
+
"55": "cake",
|
269 |
+
"56": "chair",
|
270 |
+
"57": "couch",
|
271 |
+
"58": "potted plant",
|
272 |
+
"59": "bed",
|
273 |
+
"60": "dining table",
|
274 |
+
"61": "toilet",
|
275 |
+
"62": "tv",
|
276 |
+
"63": "laptop",
|
277 |
+
"64": "mouse",
|
278 |
+
"65": "remote",
|
279 |
+
"66": "keyboard",
|
280 |
+
"67": "cell phone",
|
281 |
+
"68": "microwave",
|
282 |
+
"69": "oven",
|
283 |
+
"70": "toaster",
|
284 |
+
"71": "sink",
|
285 |
+
"72": "refrigerator",
|
286 |
+
"73": "book",
|
287 |
+
"74": "clock",
|
288 |
+
"75": "vase",
|
289 |
+
"76": "scissors",
|
290 |
+
"77": "teddy bear",
|
291 |
+
"78": "hair drier",
|
292 |
+
"79": "toothbrush",
|
293 |
+
"80": "banner",
|
294 |
+
"81": "blanket",
|
295 |
+
"82": "bridge",
|
296 |
+
"83": "cardboard",
|
297 |
+
"84": "counter",
|
298 |
+
"85": "curtain",
|
299 |
+
"86": "door-stuff",
|
300 |
+
"87": "floor-wood",
|
301 |
+
"88": "flower",
|
302 |
+
"89": "fruit",
|
303 |
+
"90": "gravel",
|
304 |
+
"91": "house",
|
305 |
+
"92": "light",
|
306 |
+
"93": "mirror-stuff",
|
307 |
+
"94": "net",
|
308 |
+
"95": "pillow",
|
309 |
+
"96": "platform",
|
310 |
+
"97": "playingfield",
|
311 |
+
"98": "railroad",
|
312 |
+
"99": "river",
|
313 |
+
"100": "road",
|
314 |
+
"101": "roof",
|
315 |
+
"102": "sand",
|
316 |
+
"103": "sea",
|
317 |
+
"104": "shelf",
|
318 |
+
"105": "snow",
|
319 |
+
"106": "stairs",
|
320 |
+
"107": "tent",
|
321 |
+
"108": "towel",
|
322 |
+
"109": "wall-brick",
|
323 |
+
"110": "wall-stone",
|
324 |
+
"111": "wall-tile",
|
325 |
+
"112": "wall-wood",
|
326 |
+
"113": "water-other",
|
327 |
+
"114": "window-blind",
|
328 |
+
"115": "window-other",
|
329 |
+
"116": "tree-merged",
|
330 |
+
"117": "fence-merged",
|
331 |
+
"118": "ceiling-merged",
|
332 |
+
"119": "sky-other-merged",
|
333 |
+
"120": "cabinet-merged",
|
334 |
+
"121": "table-merged",
|
335 |
+
"122": "floor-other-merged",
|
336 |
+
"123": "pavement-merged",
|
337 |
+
"124": "mountain-merged",
|
338 |
+
"125": "grass-merged",
|
339 |
+
"126": "dirt-merged",
|
340 |
+
"127": "paper-merged",
|
341 |
+
"128": "food-other-merged",
|
342 |
+
"129": "building-other-merged",
|
343 |
+
"130": "rock-merged",
|
344 |
+
"131": "wall-other-merged",
|
345 |
+
"132": "rug-merged"
|
346 |
+
},
|
347 |
+
"init_std": 0.02,
|
348 |
+
"init_xavier_std": 1.0,
|
349 |
+
"label2id": {
|
350 |
+
"airplane": 4,
|
351 |
+
"apple": 47,
|
352 |
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"backpack": 24,
|
353 |
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"banana": 46,
|
354 |
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"banner": 80,
|
355 |
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"baseball bat": 34,
|
356 |
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"baseball glove": 35,
|
357 |
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"bear": 21,
|
358 |
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"bed": 59,
|
359 |
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"bench": 13,
|
360 |
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"bicycle": 1,
|
361 |
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"bird": 14,
|
362 |
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"blanket": 81,
|
363 |
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"boat": 8,
|
364 |
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"book": 73,
|
365 |
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"bottle": 39,
|
366 |
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"bowl": 45,
|
367 |
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"bridge": 82,
|
368 |
+
"broccoli": 50,
|
369 |
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"building-other-merged": 129,
|
370 |
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"bus": 5,
|
371 |
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"cabinet-merged": 120,
|
372 |
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"cake": 55,
|
373 |
+
"car": 2,
|
374 |
+
"cardboard": 83,
|
375 |
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"carrot": 51,
|
376 |
+
"cat": 15,
|
377 |
+
"ceiling-merged": 118,
|
378 |
+
"cell phone": 67,
|
379 |
+
"chair": 56,
|
380 |
+
"clock": 74,
|
381 |
+
"couch": 57,
|
382 |
+
"counter": 84,
|
383 |
+
"cow": 19,
|
384 |
+
"cup": 41,
|
385 |
+
"curtain": 85,
|
386 |
+
"dining table": 60,
|
387 |
+
"dirt-merged": 126,
|
388 |
+
"dog": 16,
|
389 |
+
"donut": 54,
|
390 |
+
"door-stuff": 86,
|
391 |
+
"elephant": 20,
|
392 |
+
"fence-merged": 117,
|
393 |
+
"fire hydrant": 10,
|
394 |
+
"floor-other-merged": 122,
|
395 |
+
"floor-wood": 87,
|
396 |
+
"flower": 88,
|
397 |
+
"food-other-merged": 128,
|
398 |
+
"fork": 42,
|
399 |
+
"frisbee": 29,
|
400 |
+
"fruit": 89,
|
401 |
+
"giraffe": 23,
|
402 |
+
"grass-merged": 125,
|
403 |
+
"gravel": 90,
|
404 |
+
"hair drier": 78,
|
405 |
+
"handbag": 26,
|
406 |
+
"horse": 17,
|
407 |
+
"hot dog": 52,
|
408 |
+
"house": 91,
|
409 |
+
"keyboard": 66,
|
410 |
+
"kite": 33,
|
411 |
+
"knife": 43,
|
412 |
+
"laptop": 63,
|
413 |
+
"light": 92,
|
414 |
+
"microwave": 68,
|
415 |
+
"mirror-stuff": 93,
|
416 |
+
"motorcycle": 3,
|
417 |
+
"mountain-merged": 124,
|
418 |
+
"mouse": 64,
|
419 |
+
"net": 94,
|
420 |
+
"orange": 49,
|
421 |
+
"oven": 69,
|
422 |
+
"paper-merged": 127,
|
423 |
+
"parking meter": 12,
|
424 |
+
"pavement-merged": 123,
|
425 |
+
"person": 0,
|
426 |
+
"pillow": 95,
|
427 |
+
"pizza": 53,
|
428 |
+
"platform": 96,
|
429 |
+
"playingfield": 97,
|
430 |
+
"potted plant": 58,
|
431 |
+
"railroad": 98,
|
432 |
+
"refrigerator": 72,
|
433 |
+
"remote": 65,
|
434 |
+
"river": 99,
|
435 |
+
"road": 100,
|
436 |
+
"rock-merged": 130,
|
437 |
+
"roof": 101,
|
438 |
+
"rug-merged": 132,
|
439 |
+
"sand": 102,
|
440 |
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"sandwich": 48,
|
441 |
+
"scissors": 76,
|
442 |
+
"sea": 103,
|
443 |
+
"sheep": 18,
|
444 |
+
"shelf": 104,
|
445 |
+
"sink": 71,
|
446 |
+
"skateboard": 36,
|
447 |
+
"skis": 30,
|
448 |
+
"sky-other-merged": 119,
|
449 |
+
"snow": 105,
|
450 |
+
"snowboard": 31,
|
451 |
+
"spoon": 44,
|
452 |
+
"sports ball": 32,
|
453 |
+
"stairs": 106,
|
454 |
+
"stop sign": 11,
|
455 |
+
"suitcase": 28,
|
456 |
+
"surfboard": 37,
|
457 |
+
"table-merged": 121,
|
458 |
+
"teddy bear": 77,
|
459 |
+
"tennis racket": 38,
|
460 |
+
"tent": 107,
|
461 |
+
"tie": 27,
|
462 |
+
"toaster": 70,
|
463 |
+
"toilet": 61,
|
464 |
+
"toothbrush": 79,
|
465 |
+
"towel": 108,
|
466 |
+
"traffic light": 9,
|
467 |
+
"train": 6,
|
468 |
+
"tree-merged": 116,
|
469 |
+
"truck": 7,
|
470 |
+
"tv": 62,
|
471 |
+
"umbrella": 25,
|
472 |
+
"vase": 75,
|
473 |
+
"wall-brick": 109,
|
474 |
+
"wall-other-merged": 131,
|
475 |
+
"wall-stone": 110,
|
476 |
+
"wall-tile": 111,
|
477 |
+
"wall-wood": 112,
|
478 |
+
"water-other": 113,
|
479 |
+
"window-blind": 114,
|
480 |
+
"window-other": 115,
|
481 |
+
"wine glass": 40,
|
482 |
+
"zebra": 22
|
483 |
+
},
|
484 |
+
"mask_feature_size": 256,
|
485 |
+
"mask_weight": 20.0,
|
486 |
+
"model_type": "maskformer",
|
487 |
+
"no_object_weight": 0.1,
|
488 |
+
"num_attention_heads": 8,
|
489 |
+
"num_hidden_layers": 6,
|
490 |
+
"num_queries": 100,
|
491 |
+
"output_auxiliary_logits": null,
|
492 |
+
"torch_dtype": "float32",
|
493 |
+
"transformers_version": null,
|
494 |
+
"use_auxiliary_loss": false
|
495 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5146c849ce2efbd0b6dd06a715d7b2d598bb5af6abc33602112807cefbb35584
|
3 |
+
size 411525485
|