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car-detection-bayes
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Glenn Jocher 2019-04-18 22:40:32 +02:00
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@ -43,9 +43,9 @@ Python 3.7 or later with the following `pip3 install -U -r requirements.txt` pac
# Training
**Start Training:** Run `train.py` to begin training after downloading COCO data with `data/get_coco_dataset.sh`.
**Start Training:** `python3 train.py` to begin training after downloading COCO data with `data/get_coco_dataset.sh`.
**Resume Training:** Run `train.py --resume` resumes training from the latest checkpoint `weights/latest.pt`.
**Resume Training:** `python3 train.py --resume` to resume training from `weights/latest.pt`.
Each epoch trains on 117,263 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 0.25 s/batch on a V100 GPU (almost 50 COCO epochs/day)**.