Closed paulheisterkamp97 closed 4 years ago
Hello @paulheisterkamp97, thank you for your interest in our work! Ultralytics has open-sourced YOLOv5 at https://github.com/ultralytics/yolov5, featuring faster, lighter and more accurate object detection. YOLOv5 is recommended for all new projects.
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@paulheisterkamp97 images are loaded from hard drive, mosaiced and augmented at runtime. There are no 'original images' hanging around in memory unless you use the --cache argument during training.
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Hello, I'm trying to understand how exactly the image augmentation works. is the augmentation only happening when the images are initially loaded? are the 'original' Images still in the trainingset? Is every filter applied or just some with an probability?
It would be really appreciated if you could give some specific imformation in the doc. since the datasets.py is quite complex.
Thanks in advance