CVHub
Hello Han, Thank you for reaching out and for your kind words! I'm glad to hear that you find the script useful and would like to reference it in your...
> Hi, thanks for the great work! I have another question about this part, how can I export the efficientvit-sam decoder part like the vanilla [sam](https://github.com/facebookresearch/segment-anything/blob/main/scripts/export_onnx_model.py)? Hi, @Pytrick520 , to...
> Is it possible to load a custom YOLO NAS (onnx) trained model? Hi, you can refer to this [project](https://github.com/CVHub520/X-AnyLabeling) which currently supports YOLO-NAS.
Hello there! 😊 Thank you for reaching out about this feature request. I understand how having an option to export only modified image data during the process can be useful,...
No worries at all! 😊 We completely understand that not everyone has the time or expertise to contribute code to open-source projects like ours. As an independent developer, I do...
I appreciate your honesty, and I understand where you're coming from. It's great to hear that you're passionate about training a comic recognition model with high accuracy. Keep up the...
Thank you for your kind words about our open-source community and developers. We are glad to hear that you appreciate their hard work and dedication to creating useful tools. Regarding...
Hi @topjzk, Thanks for reporting this bug and providing the detailed traceback! We believe we've addressed the `UnboundLocalError: local variable 'icon_path' referenced before assignment` that you encountered. Could you please...
Fixed in latest commit.