未验证 提交 5d42cc1b 编写于 作者: G Glenn Jocher 提交者: GitHub

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......@@ -155,11 +155,12 @@ Speed: 17.5/2.3/19.9 ms inference/NMS/total per 640x640 image at batch-size 16
# Reproduce Our Results
This command trains `yolov3-spp.cfg` from scratch to our mAP above. Training takes about one week on a 2080Ti.
Run commands below. Training takes about one week on a 2080Ti per model.
```bash
$ python3 train.py --weights '' --cfg yolov3-spp.cfg --epochs 300 --batch-size 16 --img 320 640
$ python train.py --data coco2014.data --weights '' --batch-size 16 --cfg yolov3-spp.cfg
$ python train.py --data coco2014.data --weights '' --batch-size 32 --cfg yolov3-tiny.cfg
```
<img src="https://user-images.githubusercontent.com/26833433/77986559-408b7e80-72cc-11ea-9c4f-5d7820840a98.png" width="900">
<img src="https://user-images.githubusercontent.com/26833433/80831822-57a9de80-8ba0-11ea-9684-c47afb0432dc.png" width="900">
# Reproduce Our Environment
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