resnet_onnx / preprocessor_config.json
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Center crop: true, crop_size: 224
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{"_processor_class": null, "do_resize": true, "size": {"shortest_edge": 224}, "crop_pct": 0.875, "resample": 3, "do_rescale": true, "rescale_factor": 0.00392156862745098, "do_normalize": true, "image_mean": [0.485, 0.456, 0.406], "image_std": [0.229, 0.224, 0.225], "_valid_processor_keys": ["images", "do_resize", "size", "crop_pct", "resample", "do_rescale", "rescale_factor", "do_normalize", "image_mean", "image_std", "return_tensors", "data_format", "input_data_format"], "image_processor_type": "ConvNextFeatureExtractor", "do_center_crop": true, "crop_size": {"height": 224, "width": 224}}