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Same issue, please note that I am using my Intel GPU over NVIDIA card (see #665). content of `/etc/X11/xorg.conf.d/20-displaylink.conf`: ``` Section "ServerLayout" Identifier "layout" Screen 0 "nvidia" Inactive "intel" EndSection...
@kalenmike please add info like `yolov8n-seg`
@glenn-jocher Does not work for me: `Traceback (most recent call last): File "../yolo-segmentation.py", line 11, in segmentation_only.save('segmentation_only.jpg') ^^^^^^^^^^^^^^^^^^^^^^ AttributeError: 'numpy.ndarray' object has no attribute 'save'. Did you mean: 'ravel'?`
> @Mehreganbeiki to perform predictions with your custom segmentation model and only display the segmentation masks without the bounding boxes, you can use the `show_boxes=False` argument in the `predict()` method....
@glenn-jocher your code did not work for me. Anyway, I managed to get it running with this code: ```python3 from PIL import Image from ultralytics import YOLO model = YOLO('yolov8n.pt')...
I wanted to politely inquire whether this feature is planned for the near future. Thank you very much.
Still same problem on debian.