CVHub
Thank you very much for the excellent work done by the authors! I have a few questions and would like to discuss them: 1. When attempting to perform inference using...
Hello, I've integrated the latest YOLOX algorithm into [X-AnyLabeling](https://github.com/CVHub520/X-AnyLabeling), a high-level automatic annotation tool with multiple state-of-the-art model integrations. I wanted to bring this to your attention so that others...
Hey @WongKinYiu, big thanks for your outstanding work! I've seamlessly integrated yolov9 into [X-AnyLabeling](https://github.com/CVHub520/X-AnyLabeling), marking a substantial leap in our capabilities. YOLOv9 proves to be a game-changer, offering robust object...
- [Chinese Version](https://zhuanlan.zhihu.com/p/665036259) 本博客旨在从数据集创建、拆分、安装、训练、验证到部署提供全面的指南，帮助您从0到1的项目开发，满足您日常工作和学习的需求。 - [English Version](https://medium.com/@CVHub520/yolov5-obb-a-comprehensive-tutorial-from-data-preparation-to-model-deployment-8d7c6a98388f) This blog post is intended to be a comprehensive guide from dataset creation, splitting, installation, training, validation, to deployment, helping you to go...
@NielsRogge, thanks for the tutorials, I am also particularly interested in the Nougat one and have a question. May I ask if you can provide a runnable example for performing...
Hi, @wondervictor, a huge shoutout for your remarkable contributions! I've seamlessly integrated YOLO-World into [X-AnyLabeling](https://github.com/CVHub520/X-AnyLabeling), marking a significant advancement in our capabilities. YOLO-World introduces a groundbreaking approach to YOLO detectors,...
### Search before asking - [X] I have searched the DAMO-YOLO [issues](https://github.com/tinyvision/DAMO-YOLO/issues) and found no similar feature requests. ### Description Hello, I've integrated the latest DAMO-YOLO algorithm into [X-AnyLabeling](https://github.com/CVHub520/X-AnyLabeling), a...
Recognizing the remarkable open-source efforts of the author, who has contributed immensely, it's worth noting that EfficiencyViT currently doesn't provide scripts to export the sam encoder and decoder as ONNX...
While attempting to load a model from the specified path (/home/admin/workspace/projects/python/multi-modal/InternImage/detection/work_dirs/mmdet/instance-seg/cascade_internimage_l_fpn_3x_coco/end2end.onnx), an error occurred: ```bash onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from /home/admin/workspace/projects/python/multi-modal/InternImage/detection/work_dirs/mmdet/instance-seg/cascade_internimage_l_fpn_3x_coco/end2end.onnx failed:Fatal error: mmdeploy:GatherTopk(-1) is...
Thank you for your excellent work! If it's convenient, could you please provide the settings for exporting to ONNX and a corresponding minimal running example?