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resnet50.tcga_brca_simclr

Feature Extraction

image-classification

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resnet50.tcga_brca_simclr / config.json

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	{
	"architecture": "resnet50",
	"num_classes": 0,
	"num_features": 2048,
	"pretrained_cfg": {
	"tag": "tcga_brca_simclr",
	"custom_load": false,
	"input_size": [
	3,
	256,
	256
	],
	"test_input_size": [
	3,
	256,
	256
	],
	"fixed_input_size": false,
	"interpolation": "bicubic",
	"crop_pct": 1,
	"test_crop_pct": 1.0,
	"crop_mode": "center",
	"mean": [
	0.485,
	0.456,
	0.406
	],
	"std": [
	0.229,
	0.224,
	0.225
	],
	"num_classes": 0,
	"pool_size": [
	7,
	7
	],
	"first_conv": "conv1",
	"classifier": "fc",
	"origin_url": "https://github.com/huggingface/pytorch-image-models",
	"paper_ids": "arXiv:2110.00476"
	}
	}