{ | |
"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, | |
"resize": 1, | |
"detection_threshold": 0.5, | |
"nms_threshold": 0.1, | |
"top_k": 5000, | |
"keep_top_k": 750, | |
"confidence_threshold": 0.02, | |
"pretrained": "local" | |
} |