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Upload config.json with huggingface_hub

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  1. config.json +50 -1
config.json CHANGED
@@ -1 +1,50 @@
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- {"name": "mobilenet0.25", "min_sizes": [[16, 32], [64, 128], [256, 512]], "steps": [8, 16, 32], "variance": [0.1, 0.2], "clip": false, "loc_weight": 2.0, "gpu_train": true, "batch_size": 32, "ngpu": 1, "epoch": 250, "decay1": 190, "decay2": 220, "image_size": 640, "pretrain": false, "return_layers": {"stage1": 1, "stage2": 2, "stage3": 3}, "in_channel": 32, "out_channel": 64}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "name": "mobilenet0.25",
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+ "min_sizes": [
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+ [
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+ 16,
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+ 32
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+ ],
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+ [
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+ 64,
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+ 128
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+ ],
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+ [
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+ 256,
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+ 512
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+ ]
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+ ],
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+ "steps": [
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+ 8,
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+ 16,
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+ 32
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+ ],
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+ "variance": [
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+ 0.1,
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+ 0.2
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+ ],
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+ "clip": false,
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+ "loc_weight": 2.0,
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+ "gpu_train": true,
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+ "batch_size": 32,
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+ "ngpu": 1,
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+ "epoch": 250,
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+ "decay1": 190,
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+ "decay2": 220,
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+ "image_size": 640,
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+ "pretrain": false,
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+ "return_layers": {
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+ "stage1": 1,
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+ "stage2": 2,
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+ "stage3": 3
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+ },
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+ "in_channel": 32,
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+ "out_channel": 64,
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+ "resize": 1,
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+ "detection_threshold": 0.5,
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+ "nms_threshold": 0.1,
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+ "top_k": 5000,
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+ "keep_top_k": 750,
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+ "confidence_threshold": 0.02,
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+ "pretrained": "local"
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+ }