First commit
Browse files- config.json +110 -0
- preprocessor_config.json +32 -0
- pytorch_model.bin +3 -0
config.json
ADDED
@@ -0,0 +1,110 @@
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{
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"architectures": [
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"SegformerForImageSegmentation"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout_prob": 0.1,
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"decoder_hidden_size": 256,
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"depths": [
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2,
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2,
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2,
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2
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],
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"downsampling_rates": [
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1,
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4,
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8,
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16
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],
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"drop_path_rate": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_sizes": [
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32,
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64,
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160,
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256
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],
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"id2label": {
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"0": "road",
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"1": "sidewalk",
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"2": "building",
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"3": "wall",
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"4": "fence",
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"5": "pole",
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"6": "traffic light",
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"7": "traffic sign",
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"8": "vegetation",
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"9": "terrain",
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"10": "sky",
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"11": "person",
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"12": "rider",
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"13": "car",
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"14": "truck",
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"15": "bus",
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"16": "train",
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"17": "motorcycle",
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"18": "bicycle"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"bicycle": 18,
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"building": 2,
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"bus": 15,
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"car": 13,
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"fence": 4,
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"motorcycle": 17,
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"person": 11,
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"pole": 5,
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"rider": 12,
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"road": 0,
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"sidewalk": 1,
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"sky": 10,
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"terrain": 9,
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"traffic light": 6,
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"traffic sign": 7,
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"train": 16,
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"truck": 14,
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"vegetation": 8,
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"wall": 3
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},
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"layer_norm_eps": 1e-06,
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"mlp_ratios": [
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4,
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4,
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4,
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4
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],
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"model_type": "segformer",
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"num_attention_heads": [
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1,
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2,
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5,
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8
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],
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"num_channels": 3,
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"num_encoder_blocks": 4,
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"patch_sizes": [
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7,
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3,
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3,
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3
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],
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"reshape_last_stage": true,
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"sr_ratios": [
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8,
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4,
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2,
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1
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],
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"strides": [
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4,
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2,
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2,
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2
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],
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"torch_dtype": "float32",
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"transformers_version": "4.12.0.dev0"
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}
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preprocessor_config.json
ADDED
@@ -0,0 +1,32 @@
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{
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"align": false,
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"crop_size": [
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512,
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512
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],
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"do_normalize": true,
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"do_pad": true,
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"do_random_crop": false,
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"do_resize": true,
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"feature_extractor_type": "SegformerFeatureExtractor",
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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_scale": [
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512,
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512
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],
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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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"keep_ratio": false,
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"padding_value": 0,
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"reduce_zero_label": false,
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"resample": 2,
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"segmentation_padding_value": -100,
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"size_divisor": 32
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}
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:ffe3494e1339abf7af09a13c914e72c3d2745e2f315eba1fd2b1dee15b7a73ed
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size 14957601
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