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Browse files- config.json +91 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- preprocessor_config.json +18 -0
- quant_config.json +34 -0
config.json
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{
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"_name_or_path": "apple/deeplabv3-mobilevit-xx-small",
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"architectures": [
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"MobileViTForSemanticSegmentation"
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],
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"aspp_dropout_prob": 0.1,
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"aspp_out_channels": 256,
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"atrous_rates": [
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6,
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12,
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18
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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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"conv_kernel_size": 3,
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"expand_ratio": 2.0,
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"hidden_act": "silu",
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"hidden_dropout_prob": 0.05,
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"hidden_sizes": [
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64,
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80,
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96
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],
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"id2label": {
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"0": "background",
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"1": "aeroplane",
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"2": "bicycle",
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"3": "bird",
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"4": "boat",
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"5": "bottle",
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"6": "bus",
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"7": "car",
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"8": "cat",
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"9": "chair",
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"10": "cow",
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"11": "diningtable",
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"12": "dog",
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"13": "horse",
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"14": "motorbike",
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"15": "person",
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"16": "pottedplant",
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"17": "sheep",
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"18": "sofa",
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"19": "train",
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"20": "tvmonitor"
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},
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"image_size": 512,
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"initializer_range": 0.02,
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"label2id": {
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"aeroplane": 1,
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"background": 0,
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"bicycle": 2,
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"bird": 3,
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"boat": 4,
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"bottle": 5,
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"bus": 6,
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"car": 7,
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"cat": 8,
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"chair": 9,
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"cow": 10,
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"diningtable": 11,
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"dog": 12,
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"horse": 13,
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"motorbike": 14,
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"person": 15,
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"pottedplant": 16,
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"sheep": 17,
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"sofa": 18,
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"train": 19,
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"tvmonitor": 20
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 2.0,
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"model_type": "mobilevit",
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"neck_hidden_sizes": [
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16,
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16,
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24,
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48,
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64,
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80,
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320
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],
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"num_attention_heads": 4,
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"num_channels": 3,
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"output_stride": 16,
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"patch_size": 2,
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"qkv_bias": true,
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"semantic_loss_ignore_index": 255,
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"transformers_version": "4.30.2"
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:526bc2e2ba04db5e638ee3eaabf96959a8955296a02f690b1e584a58db958caa
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size 7727644
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:9dc714a550dce9a934c81067f61decfcef39a4df526658cd988d6f2eb3b12ea3
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size 2511467
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preprocessor_config.json
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{
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"crop_size": {
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"height": 512,
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"width": 512
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},
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"do_center_crop": true,
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"do_flip_channel_order": true,
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"do_flip_channels": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "MobileViTFeatureExtractor",
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"image_processor_type": "MobileViTFeatureExtractor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 544
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}
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}
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quant_config.json
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{
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"per_channel": true,
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"reduce_range": true,
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"per_model_config": {
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"model": {
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"op_types": [
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"MatMul",
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"Unsqueeze",
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"Cast",
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"Relu",
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"Resize",
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"Add",
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"Slice",
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"Constant",
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"Softmax",
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"Mul",
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"Shape",
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"Conv",
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"Reshape",
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"Sub",
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"Transpose",
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"Div",
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"Gather",
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"ReduceMean",
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"Sqrt",
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"GlobalAveragePool",
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"Concat",
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"Pow",
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"Sigmoid"
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],
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"weight_type": "QUInt8"
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}
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}
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}
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