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car-detection-bayes
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Merge remote-tracking branch 'origin/master'

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Glenn Jocher 2019-03-28 18:55:20 +01:00
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README.md
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@ -17,7 +17,7 @@ This directory contains python software and an iOS App developed by Ultralytics
# Description
The https://github.com/ultralytics/yolov3 repo contains inference and training code for YOLOv3 in PyTorch. The code works on Linux, MacOS and Windows. Training is done on the COCO dataset by default: https://cocodataset.org/#home. **Credit to Joseph Redmon for YOLO: ** https://pjreddie.com/darknet/yolo/.
The https://github.com/ultralytics/yolov3 repo contains inference and training code for YOLOv3 in PyTorch. The code works on Linux, MacOS and Windows. Training is done on the COCO dataset by default: https://cocodataset.org/#home. **Credit to Joseph Redmon for YOLO:** https://pjreddie.com/darknet/yolo/.
# Requirements

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utils/datasets.py
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@ -100,7 +100,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
assert len(self.img_files) > 0, 'No images found in %s' % path
self.img_size = img_size
self.augment = augment
self.label_files = [x.replace('images', 'labels').replace('.bmp', '.txt').replace('.jpg', '.txt')
self.label_files = [x.replace('images', 'labels').replace('.bmp', '.txt').replace('.jpg', '.txt').replace('.png', '.txt')
for x in self.img_files]
def __len__(self):