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Glenn Jocher 2019-03-18 12:46:44 +02:00 committed by GitHub
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@ -38,7 +38,7 @@ Python 3.7 or later with the following `pip3 install -U -r requirements.txt` pac
**Start Training:** Run `train.py` to begin training after downloading COCO data with `data/get_coco_dataset.sh`. **Start Training:** Run `train.py` to begin training after downloading COCO data with `data/get_coco_dataset.sh`.
**Resume Training:** Run `train.py --resume` to resume training from the most recently saved checkpoint `weights/latest.pt`. **Resume Training:** Run `train.py --resume` resumes training from the latest checkpoint `weights/latest.pt`.
Each epoch trains on 120,000 images from the train and validate COCO sets, and tests on 5000 images from the COCO validate set. Default training settings produce loss plots below, with **training speed of 0.6 s/batch on a 1080 Ti (18 epochs/day)** or 0.45 s/batch on a 2080 Ti. Each epoch trains on 120,000 images from the train and validate COCO sets, and tests on 5000 images from the COCO validate set. Default training settings produce loss plots below, with **training speed of 0.6 s/batch on a 1080 Ti (18 epochs/day)** or 0.45 s/batch on a 2080 Ti.