CVHub
👋 Hi @Twenty3hree! Thank you for bringing this to our attention and for your suggestion. 🙌 I've implemented natural sorting for the QListWidget labels, which should address the issue you've...
Please consult the following link for detailed information: https://github.com/CVHub520/segment-anything-2/blob/camera/INSTALL.md. Should you require assistance, the provided guide will steers you through the installation process.
If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this [example](https://github.com/CVHub520/X-AnyLabeling/blob/main/anylabeling/services/auto_labeling/segment_anything_2_video.py) in the X-AnyLabeling repository.
> > If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this [example](https://github.com/CVHub520/X-AnyLabeling/blob/main/anylabeling/services/auto_labeling/segment_anything_2_video.py) in the X-AnyLabeling repository. > > Hello author,...
Hey there! @guohaomeng: We appreciate your suggestion regarding the brush tool for creating masks. It's a valuable feature, especially for segmenting small, numerous, or indistinct defects. However, due to current...
Bonjour @Ghazi53, Thanks for reporting this issue and providing the details. The error "Error in model prediction: negative dimensions are not allowed" usually indicates an incompatibility or unexpected output format...
@Ghazi53 Thanks for providing the configuration and the Netron screenshot! The YAML configuration looks mostly okay, although the `type: yolo11_seg` might need adjustment later depending on the model structure. Regarding...
Please upload the whole right panel info. Thanks for your cooperation.
Bonjour @Ghazi53, Merci pour la clarification et les captures d'écran. D'après les informations des nœuds du modèle ONNX que vous avez fournies : * L'entrée est 'images' avec la forme...
Rebonjour @Ghazi53, Je comprends votre raisonnement pour essayer de faire correspondre les nombres, mais l'interprétation de la dimension de sortie (116) est déterminée par la structure même du modèle ONNX,...