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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2018-09-10 17:00:39 +02:00
parent 300e2b5dfc
commit a8f8ec134b
3 changed files with 4 additions and 3 deletions
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2
detect.py
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@ -18,7 +18,7 @@ parser.add_argument('-txt_out', type=bool, default=False)
parser.add_argument('-cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path') parser.add_argument('-cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path')
parser.add_argument('-class_path', type=str, default='data/coco.names', help='path to class label file') parser.add_argument('-class_path', type=str, default='data/coco.names', help='path to class label file')
parser.add_argument('-conf_thres', type=float, default=0.9, help='object confidence threshold') parser.add_argument('-conf_thres', type=float, default=0.98, help='object confidence threshold')
parser.add_argument('-nms_thres', type=float, default=0.45, help='iou threshold for non-maximum suppression') parser.add_argument('-nms_thres', type=float, default=0.45, help='iou threshold for non-maximum suppression')
parser.add_argument('-batch_size', type=int, default=1, help='size of the batches') parser.add_argument('-batch_size', type=int, default=1, help='size of the batches')
parser.add_argument('-img_size', type=int, default=32 * 13, help='size of each image dimension') parser.add_argument('-img_size', type=int, default=32 * 13, help='size of each image dimension')

2
test.py
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@ -11,7 +11,7 @@ parser.add_argument('-weights_path', type=str, default='checkpoints/yolov3.weigh
parser.add_argument('-class_path', type=str, default='data/coco.names', help='path to class label file') parser.add_argument('-class_path', type=str, default='data/coco.names', help='path to class label file')
parser.add_argument('-iou_thres', type=float, default=0.5, help='iou threshold required to qualify as detected') parser.add_argument('-iou_thres', type=float, default=0.5, help='iou threshold required to qualify as detected')
parser.add_argument('-conf_thres', type=float, default=0.5, help='object confidence threshold') parser.add_argument('-conf_thres', type=float, default=0.5, help='object confidence threshold')
parser.add_argument('-nms_thres', type=float, default=0.4, help='iou threshold for non-maximum suppression') parser.add_argument('-nms_thres', type=float, default=0.45, help='iou threshold for non-maximum suppression')
parser.add_argument('-n_cpu', type=int, default=0, help='number of cpu threads to use during batch generation') parser.add_argument('-n_cpu', type=int, default=0, help='number of cpu threads to use during batch generation')
parser.add_argument('-img_size', type=int, default=416, help='size of each image dimension') parser.add_argument('-img_size', type=int, default=416, help='size of each image dimension')
parser.add_argument('-use_cuda', type=bool, default=True, help='whether to use cuda if available') parser.add_argument('-use_cuda', type=bool, default=True, help='whether to use cuda if available')

3
utils/gcp.sh
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@ -14,9 +14,10 @@ python3 detect.py
python3 test.py -img_size 416 -weights_path checkpoints/yolov3.weights python3 test.py -img_size 416 -weights_path checkpoints/yolov3.weights
# Download and Test
sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3 sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
cd yolov3 cd yolov3
cd checkpoints cd checkpoints
wget https://pjreddie.com/media/files/yolov3.weights wget https://pjreddie.com/media/files/yolov3.weights
cd .. cd ..
python3 test.py -img_size 416 -weights_path checkpoints/yolov3.weights python3 test.py -img_size 416 -weights_path checkpoints/backup5.pt -nms_thres 0.45