Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-24 21:41:18 +02:00
parent 3e71b8d48b
commit 365d38bc0c
2 changed files with 5 additions and 5 deletions
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4
train.py
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@ -131,7 +131,7 @@ def train(
dataloader = DataLoader(dataset, dataloader = DataLoader(dataset,
batch_size=batch_size, batch_size=batch_size,
num_workers=opt.num_workers, num_workers=opt.num_workers,
shuffle=False, shuffle=False, # disable rectangular training if True
pin_memory=True, pin_memory=True,
collate_fn=dataset.collate_fn) collate_fn=dataset.collate_fn)
@ -274,7 +274,7 @@ if __name__ == '__main__':
parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch') parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
parser.add_argument('--accumulate', type=int, default=1, help='accumulate gradient x batches before optimizing') parser.add_argument('--accumulate', type=int, default=1, help='accumulate gradient x batches 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-cfg', type=str, default='data/coco.data', help='coco.data file path') parser.add_argument('--data-cfg', type=str, default='data/coco_32img.data', help='coco.data file path')
parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608') parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608')
parser.add_argument('--img-size', type=int, default=416, help='pixels') parser.add_argument('--img-size', type=int, default=416, help='pixels')
parser.add_argument('--resume', action='store_true', help='resume training flag') parser.add_argument('--resume', action='store_true', help='resume training flag')

6
utils/gcp.sh
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@ -65,9 +65,9 @@ rm -rf yolov3
git clone https://github.com/ultralytics/yolov3 # master git clone https://github.com/ultralytics/yolov3 # master
cp -r cocoapi/PythonAPI/pycocotools yolov3 cp -r cocoapi/PythonAPI/pycocotools yolov3
cp -r weights yolov3 && cd yolov3 cp -r weights yolov3 && cd yolov3
python3 detect.py # detect python3 detect.py # detect 2 persons, 1 tie
python3 test.py --data data/coco_32img.data # test python3 test.py --data data/coco_32img.data # test mAP = 0.78
python3 train.py --data data/coco_32img.data --epochs 4 --nosave # train python3 train.py --data data/coco_32img.data --epochs 4 --nosave # train 4 epochs
# Debug/Development # Debug/Development
rm -rf yolov3 rm -rf yolov3