Comments (3)
Also it doesn't look like a memory leak issue, as the memory spikes this high basically from the start of the training loop and never goes down or much higher. (and training does take a lot longer, which would make sense if it's using the shared GPU memory, just really confused about the numbers in the print-outs)
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I don't exactly know why, but restarting everything and making a new environment has somehow fixed this issue, no idea what the exact cause was, but it's fixed.
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Great to hear that restarting and setting up a new environment resolved the issue! Sometimes, a fresh setup can clear up underlying conflicts or settings that are hard to pinpoint. If you encounter any other issues or have more questions in the future, feel free to reach out. Happy training with YOLOv8! 🚀
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Related Issues (20)
- wOrKiNg@~ mOnOpOlY Go dIcE GeNeRaToR 2024-2025- nO HuMaN VeRiFiCaTiOn HOT 2
- OBB task do not support `save_crop` HOT 6
- Cache is on, but param cache=False (by default) HOT 6
- How to improve and modify the ZH documentation HOT 1
- Unexplained behavior of the Validation of a Classification model HOT 4
- masks Cropping HOT 1
- I want to convert the segmentation result from YOLOv8 into a mask, where regions with targets are true and areas without targets are false. HOT 4
- Capturing Yolo8 Training Terminal Output HOT 4
- Converting Yolov8 Segmentation Labels To Be Suitable For Maskrcnn Segmentation HOT 9
- cache the last data dir, the second time to train will be updated HOT 2
- Dependency of ray tune HOT 2
- About class name HOT 6
- Angle change and atan2 function HOT 2
- Obb loss value problem HOT 1
- MultiThread or MultiProcess Prediction with YOLO HOT 4
- Batch size with fraction does not work. HOT 9
- Image Resize in Validation HOT 6
- How to correctly annotate a dataset HOT 6
- AttributeError: 'RTDETRDecoder' object has no attribute 'stride' HOT 2
- What is the influence of imgsz? HOT 6
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