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config.json
168
config.json
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{
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"Swinv2ForImageClassification"
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"TableTransformerForObjectDetection"
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],
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"attention_probs_dropout_prob": 0.0,
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"attention_dropout": 0.0,
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"auxiliary_loss": false,
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"backbone": null,
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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": [
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"ResNetForImageClassification"
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],
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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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"depths": [
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2,
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2,
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6,
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2,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"downsample_in_bottleneck": false,
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"downsample_in_first_stage": false,
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"early_stopping": false,
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"embedding_size": 64,
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"encoder_no_repeat_ngram_size": 0,
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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": "relu",
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"hidden_sizes": [
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64,
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128,
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256,
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512
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],
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"id2label": {
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"0": "tench, Tinca tinca",
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"1": "goldfish, Carassius auratus",
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@ -1017,8 +1046,8 @@
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"998": "ear, spike, capitulum",
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"999": "toilet tissue, toilet paper, bathroom tissue"
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},
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"image_size": 256,
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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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"Afghan hound, Afghan": 160,
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"African chameleon, Chamaeleo chamaeleon": 47,
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@ -2020,28 +2049,107 @@
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"zebra": 340,
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"zucchini, courgette": 939
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swinv2",
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"layer_type": "basic",
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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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"model_type": "resnet",
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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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"num_return_sequences": 1,
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"out_features": [
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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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"out_indices": [
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1,
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2,
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3,
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6,
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12,
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24
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4
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],
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"num_layers": 4,
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"patch_size": 4,
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"path_norm": true,
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"pretrained_window_sizes": [
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0,
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0,
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0,
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0
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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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"prefix": null,
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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,
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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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"qkv_bias": true,
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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_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": "float32",
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"transformers_version": "4.21.0.dev0",
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"use_absolute_embeddings": false,
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"window_size": 8
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"torchscript": false,
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"typical_p": 1.0,
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"use_bfloat16": false
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},
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"bbox_cost": 5,
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"bbox_loss_coefficient": 5,
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"ce_loss_coefficient": 1,
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"class_cost": 1,
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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,
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"dice_loss_coefficient": 1,
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"dilation": null,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_coefficient": 0.4,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0": "table",
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"1": "table column",
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"2": "table row",
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"3": "table column header",
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"4": "table projected row header",
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"5": "table spanning cell"
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},
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"is_encoder_decoder": true,
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"label2id": {
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"table": 0,
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"table column": 1,
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"table column header": 3,
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"table projected row header": 4,
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"table row": 2,
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"table spanning cell": 5
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},
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"mask_loss_coefficient": 1,
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"model_type": "table-transformer",
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"num_channels": 3,
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"num_hidden_layers": 6,
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"num_queries": 125,
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"position_embedding_type": "sine",
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"torch_dtype": "float32",
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"transformers_version": "4.36.0.dev0",
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"use_pretrained_backbone": null,
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"use_timm_backbone": false
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}
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{
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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"format": "coco_detection",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "DetrImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"size": 256
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 800
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}
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}
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BIN
pytorch_model.bin (Stored with Git LFS)
BIN
pytorch_model.bin (Stored with Git LFS)
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