Training in progress, epoch 1
Browse files- config.json +112 -51
- model.safetensors +2 -2
- preprocessor_config.json +6 -7
- training_args.bin +1 -1
config.json
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{
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"activation_dropout": 0.0,
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"activation_function": "
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"architectures": [
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"
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],
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"attention_dropout": 0.0,
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"auxiliary_loss":
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"backbone_config": {
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"
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"dtype": "float32",
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"
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"
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"num_channels": 3,
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"out_features": [
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"
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"
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"layer4"
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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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4
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],
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"output_stride": null,
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"stage_names": [
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]
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"use_pretrained_backbone": false
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},
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"
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"
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"
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"cls_loss_coefficient": 2,
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"d_model": 256,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim":
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"
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"decoder_layers": 6,
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"dtype": "float32",
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"encoder_attention_heads": 8,
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"encoder_ffn_dim":
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"id2label": {
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"0": "
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"1": "
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"2": "
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},
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"
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"is_encoder_decoder": true,
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"label2id": {
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},
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"num_queries": 300,
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"
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"
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"transformers_version": "5.
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"use_cache": false
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}
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{
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"activation_dropout": 0.0,
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"activation_function": "silu",
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"anchor_image_size": null,
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"architectures": [
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"RTDetrV2ForObjectDetection"
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],
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"attention_dropout": 0.0,
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"auxiliary_loss": true,
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"backbone": null,
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"backbone_config": {
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"depths": [
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3,
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4,
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6,
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3
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],
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"downsample_in_bottleneck": false,
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"downsample_in_first_stage": false,
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"dtype": "float32",
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"embedding_size": 64,
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"hidden_act": "relu",
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"hidden_sizes": [
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256,
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512,
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1024,
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2048
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],
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"layer_type": "bottleneck",
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"model_type": "rt_detr_resnet",
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"num_channels": 3,
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"out_features": [
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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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2,
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3,
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4
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],
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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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},
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"backbone_kwargs": null,
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"batch_norm_eps": 1e-05,
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"box_noise_scale": 1.0,
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"d_model": 256,
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"decoder_activation_function": "relu",
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 1024,
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"decoder_in_channels": [
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256,
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256,
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256
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],
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"decoder_layers": 6,
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"decoder_method": "default",
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"decoder_n_levels": 3,
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"decoder_n_points": 4,
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"decoder_offset_scale": 0.5,
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"disable_custom_kernels": true,
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"dropout": 0.0,
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"dtype": "float32",
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"encode_proj_layers": [
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2
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],
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"encoder_activation_function": "gelu",
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 1024,
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"encoder_hidden_dim": 256,
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"encoder_in_channels": [
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512,
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1024,
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2048
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],
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"encoder_layers": 1,
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"eos_coefficient": 0.0001,
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"eval_size": null,
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"feat_strides": [
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8,
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16,
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32
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],
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"focal_loss_alpha": 0.75,
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"focal_loss_gamma": 2.0,
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"freeze_backbone_batch_norms": true,
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"hidden_expansion": 1.0,
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"id2label": {
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"0": "road-traffic",
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"1": "bicycles",
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"2": "buses",
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"3": "crosswalks",
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"4": "fire hydrants",
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"5": "motorcycles",
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"6": "traffic lights",
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"7": "vehicles"
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},
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"initializer_bias_prior_prob": null,
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"initializer_range": 0.01,
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"is_encoder_decoder": true,
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"label2id": {
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"bicycles": 1,
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"buses": 2,
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"crosswalks": 3,
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"fire hydrants": 4,
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"motorcycles": 5,
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"road-traffic": 0,
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"traffic lights": 6,
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"vehicles": 7
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},
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"label_noise_ratio": 0.5,
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"layer_norm_eps": 1e-05,
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"learn_initial_query": false,
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"matcher_alpha": 0.25,
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"matcher_bbox_cost": 5.0,
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"matcher_class_cost": 2.0,
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"matcher_gamma": 2.0,
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"matcher_giou_cost": 2.0,
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"model_type": "rt_detr_v2",
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"normalize_before": false,
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"num_denoising": 100,
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"num_feature_levels": 3,
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"num_queries": 300,
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"positional_encoding_temperature": 10000,
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"use_cache": false,
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"use_focal_loss": true,
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"use_pretrained_backbone": false,
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"use_timm_backbone": false,
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"weight_loss_bbox": 5.0,
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"weight_loss_giou": 2.0,
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"weight_loss_vfl": 1.0,
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"with_box_refine": true
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}
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:0c0b275531c2f656740aa63a10c952053fd8c95b61c914b8f9b98b80516233e2
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size 168887224
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preprocessor_config.json
CHANGED
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@@ -1,7 +1,6 @@
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{
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"data_format": "channels_first",
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"do_convert_annotations": true,
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"do_normalize":
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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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0.456,
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0.406
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],
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"image_processor_type": "
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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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"pad_size": {
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"height":
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"width":
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},
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"max_height":
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"max_width":
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}
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}
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{
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"do_convert_annotations": true,
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"do_normalize": false,
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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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0.456,
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0.406
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],
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"image_processor_type": "RTDetrImageProcessor",
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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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"pad_size": {
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"height": 640,
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"width": 640
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},
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"max_height": 640,
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"max_width": 640
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}
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}
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training_args.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 5201
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:dc26235de7531145f9e2db59614c1be6fe7e00a1f6fad2226e9def19b2a924d5
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size 5201
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