Upload MaskFormerForInstanceSegmentation
Browse files- config.json +389 -0
- pytorch_model.bin +3 -0
config.json
ADDED
@@ -0,0 +1,389 @@
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1 |
+
{
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"_commit_hash": "b569351e060953d37fd7dfb8b16ab83c360a13d6",
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"_name_or_path": "facebook/maskformer-swin-base-ade",
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4 |
+
"architectures": [
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"MaskFormerForInstanceSegmentation"
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+
],
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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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"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": 0.3,
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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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"encoder_no_repeat_ngram_size": 0,
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"encoder_stride": 32,
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"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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"id2label": {
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"0": "LABEL_0",
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41 |
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"1": "LABEL_1"
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42 |
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},
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"image_size": 384,
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44 |
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"in_channels": 3,
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"initializer_range": 0.02,
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"is_decoder": false,
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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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"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,
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"model_type": "swin",
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"no_repeat_ngram_size": 0,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_channels": 3,
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"num_heads": [
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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": [
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"stage4"
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],
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"out_indices": [
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],
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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": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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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,
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"tie_word_embeddings": true,
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"top_k": 50,
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"window_size": 12
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},
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"ce_weight": 1.0,
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"decoder_config": {
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"d_model": 256,
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"dice_loss_coefficient": 1,
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"dilation": false,
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"do_sample": false,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_layers": 6,
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"eos_coefficient": 0.1,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"init_std": 0.02,
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"is_decoder": false,
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"is_encoder_decoder": true,
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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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"length_penalty": 1.0,
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"mask_loss_coefficient": 1,
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"max_length": 20,
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"max_position_embeddings": 1024,
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"min_length": 0,
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"model_type": "detr",
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"no_repeat_ngram_size": 0,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_channels": 3,
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"num_hidden_layers": 6,
|
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"num_queries": 100,
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"num_return_sequences": 1,
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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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"position_embedding_type": "sine",
|
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"prefix": null,
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"pruned_heads": {},
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"return_dict": true,
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"scale_embedding": false,
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"typical_p": 1.0,
|
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"use_bfloat16": false,
|
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"use_pretrained_backbone": true,
|
216 |
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"use_timm_backbone": true
|
217 |
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},
|
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"dice_weight": 1.0,
|
219 |
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"fpn_feature_size": 256,
|
220 |
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"id2label": {
|
221 |
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"0": "bg",
|
222 |
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"1": "tumor"
|
223 |
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},
|
224 |
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"init_std": 0.02,
|
225 |
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"init_xavier_std": 1.0,
|
226 |
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"label2id": {
|
227 |
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"animal": 126,
|
228 |
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"arcade machine": 78,
|
229 |
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"armchair": 30,
|
230 |
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"awning, sunshade, sunblind": 86,
|
231 |
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"bag": 115,
|
232 |
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"ball": 119,
|
233 |
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"bannister, banister, balustrade, balusters, handrail": 95,
|
234 |
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"bar": 77,
|
235 |
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"barrel, cask": 111,
|
236 |
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"base, pedestal, stand": 40,
|
237 |
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"basket, handbasket": 112,
|
238 |
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"bed": 7,
|
239 |
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"bench": 69,
|
240 |
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"bicycle": 127,
|
241 |
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"blanket, cover": 131,
|
242 |
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"blind, screen": 63,
|
243 |
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"boat": 76,
|
244 |
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"book": 67,
|
245 |
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"bookcase": 62,
|
246 |
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"booth": 88,
|
247 |
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"bottle": 98,
|
248 |
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"box": 41,
|
249 |
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"bridge, span": 61,
|
250 |
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"buffet, counter, sideboard": 99,
|
251 |
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"building": 1,
|
252 |
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"bulletin board": 144,
|
253 |
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"bus": 80,
|
254 |
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"cabinet": 10,
|
255 |
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"canopy": 106,
|
256 |
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"car": 20,
|
257 |
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"case, display case, showcase, vitrine": 55,
|
258 |
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"ceiling": 5,
|
259 |
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"chair": 19,
|
260 |
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"chandelier": 85,
|
261 |
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"chest of drawers, chest, bureau, dresser": 44,
|
262 |
+
"clock": 148,
|
263 |
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"clothes": 92,
|
264 |
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"coffee table": 64,
|
265 |
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"column, pillar": 42,
|
266 |
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"computer": 74,
|
267 |
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"conveyer belt, conveyor belt, conveyer, conveyor, transporter": 105,
|
268 |
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"counter": 45,
|
269 |
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"countertop": 70,
|
270 |
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"cradle": 117,
|
271 |
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"crt screen": 141,
|
272 |
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"curtain": 18,
|
273 |
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"cushion": 39,
|
274 |
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"desk": 33,
|
275 |
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"dirt track": 91,
|
276 |
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"dishwasher": 129,
|
277 |
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"door": 14,
|
278 |
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"earth, ground": 13,
|
279 |
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"escalator, moving staircase, moving stairway": 96,
|
280 |
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"falls": 113,
|
281 |
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"fan": 139,
|
282 |
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"fence": 32,
|
283 |
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"field": 29,
|
284 |
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"fireplace": 49,
|
285 |
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"flag": 149,
|
286 |
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"floor": 3,
|
287 |
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"flower": 66,
|
288 |
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"food, solid food": 120,
|
289 |
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"fountain": 104,
|
290 |
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"glass, drinking glass": 147,
|
291 |
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"grandstand, covered stand": 51,
|
292 |
+
"grass": 9,
|
293 |
+
"hill": 68,
|
294 |
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"hood, exhaust hood": 133,
|
295 |
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"house": 25,
|
296 |
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"hovel, hut, hutch, shack, shanty": 79,
|
297 |
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|
298 |
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"lake": 128,
|
299 |
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"lamp": 36,
|
300 |
+
"land, ground, soil": 94,
|
301 |
+
"light": 82,
|
302 |
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"microwave": 124,
|
303 |
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"minibike, motorbike": 116,
|
304 |
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"mirror": 27,
|
305 |
+
"monitor": 143,
|
306 |
+
"mountain, mount": 16,
|
307 |
+
"ottoman, pouf, pouffe, puff, hassock": 97,
|
308 |
+
"oven": 118,
|
309 |
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"painting, picture": 22,
|
310 |
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"palm, palm tree": 72,
|
311 |
+
"path": 52,
|
312 |
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"person": 12,
|
313 |
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"pier": 140,
|
314 |
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"pillow": 57,
|
315 |
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"plane": 90,
|
316 |
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"plant": 17,
|
317 |
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"plate": 142,
|
318 |
+
"plaything, toy": 108,
|
319 |
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"pole": 93,
|
320 |
+
"pool": 109,
|
321 |
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"pool table, billiard table, snooker table": 56,
|
322 |
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"poster, posting, placard, notice, bill, card": 100,
|
323 |
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"pot": 125,
|
324 |
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"radiator": 146,
|
325 |
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"rail": 38,
|
326 |
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"refrigerator, icebox": 50,
|
327 |
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"river": 60,
|
328 |
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"road, route": 6,
|
329 |
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"rock, stone": 34,
|
330 |
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"rug": 28,
|
331 |
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"runway": 54,
|
332 |
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"sand": 46,
|
333 |
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|
334 |
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|
335 |
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|
336 |
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|
337 |
+
"sea": 26,
|
338 |
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"seat": 31,
|
339 |
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"shelf": 24,
|
340 |
+
"ship": 103,
|
341 |
+
"shower": 145,
|
342 |
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"sidewalk, pavement": 11,
|
343 |
+
"signboard, sign": 43,
|
344 |
+
"sink": 47,
|
345 |
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"sky": 2,
|
346 |
+
"skyscraper": 48,
|
347 |
+
"sofa": 23,
|
348 |
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"stage": 101,
|
349 |
+
"stairs": 53,
|
350 |
+
"stairway, staircase": 59,
|
351 |
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"step, stair": 121,
|
352 |
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"stool": 110,
|
353 |
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"stove": 71,
|
354 |
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"street lamp": 87,
|
355 |
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"swivel chair": 75,
|
356 |
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"table": 15,
|
357 |
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"tank, storage tank": 122,
|
358 |
+
"tent": 114,
|
359 |
+
"toilet, can, commode, crapper, pot, potty, stool, throne": 65,
|
360 |
+
"towel": 81,
|
361 |
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"tower": 84,
|
362 |
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"trade name": 123,
|
363 |
+
"traffic light": 136,
|
364 |
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"trash can": 138,
|
365 |
+
"tray": 137,
|
366 |
+
"tree": 4,
|
367 |
+
"truck": 83,
|
368 |
+
"tub": 37,
|
369 |
+
"tv": 89,
|
370 |
+
"van": 102,
|
371 |
+
"vase": 135,
|
372 |
+
"wall": 0,
|
373 |
+
"wardrobe, closet, press": 35,
|
374 |
+
"washer, automatic washer, washing machine": 107,
|
375 |
+
"water": 21,
|
376 |
+
"window ": 8
|
377 |
+
},
|
378 |
+
"mask_feature_size": 256,
|
379 |
+
"mask_weight": 20.0,
|
380 |
+
"model_type": "maskformer",
|
381 |
+
"no_object_weight": 0.1,
|
382 |
+
"num_attention_heads": 8,
|
383 |
+
"num_hidden_layers": 6,
|
384 |
+
"num_queries": 100,
|
385 |
+
"output_auxiliary_logits": null,
|
386 |
+
"torch_dtype": "float32",
|
387 |
+
"transformers_version": null,
|
388 |
+
"use_auxiliary_loss": false
|
389 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ecf477905b636e4849d758b1438c78c078ec0e21711817e091deeb18292334c9
|
3 |
+
size 411399405
|