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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-08 16:34:01 -08:00
parent 3953d5c8b0
commit 0fa4e498c1
2 changed files with 4 additions and 4 deletions
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4
train.py
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@ -417,10 +417,10 @@ def prebias():
if __name__ == '__main__': if __name__ == '__main__':
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument('--epochs', type=int, default=273) # 500200 batches at bs 16, 117263 images = 273 epochs parser.add_argument('--epochs', type=int, default=273) # 500200 batches at bs 16, 117263 images = 273 epochs
parser.add_argument('--batch-size', type=int, default=16) # effective bs = batch_size * accumulate = 16 * 4 = 64 parser.add_argument('--batch-size', type=int, default=1) # effective bs = batch_size * accumulate = 16 * 4 = 64
parser.add_argument('--accumulate', type=int, default=4, help='batches to accumulate before optimizing') parser.add_argument('--accumulate', type=int, default=4, help='batches to accumulate before optimizing')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path') parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data', type=str, default='data/coco.data', help='*.data file path') parser.add_argument('--data', type=str, default='data/coco_64img.data', help='*.data file path')
parser.add_argument('--multi-scale', action='store_true', help='adjust (67% - 150%) img_size every 10 batches') parser.add_argument('--multi-scale', action='store_true', help='adjust (67% - 150%) img_size every 10 batches')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)') parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--rect', action='store_true', help='rectangular training') parser.add_argument('--rect', action='store_true', help='rectangular training')

4
utils/gcp.sh
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@ -4,10 +4,10 @@
rm -rf sample_data yolov3 darknet apex coco cocoapi knife knifec rm -rf sample_data yolov3 darknet apex coco cocoapi knife knifec
git clone https://github.com/ultralytics/yolov3 git clone https://github.com/ultralytics/yolov3
git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex
conda install -yc conda-forge scikit-image pycocotools sudo conda install -yc conda-forge scikit-image pycocotools
python3 -c " python3 -c "
from yolov3.utils.google_utils import gdrive_download from yolov3.utils.google_utils import gdrive_download
gdrive_download('1HaXkef9z6y5l4vUnCYgdmEAj61c6bfWO','coco.zip')" gdrive_download('1WQT6SOktSe8Uw6r10-2JhbEhMY5DJaph','coco.zip')"
sudo shutdown sudo shutdown
# Re-clone # Re-clone