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🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

Results 7 TensorRT-YOLO issues
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我对yolov5-master中的detect.py做了修改,可以实现开多线程读取多视频流。然后调用pytorch的模型进行同时推理,但是换成.engine模型就不行了,想问问作者这块问题怎么解?

question

Running the exact same model (tested with v8, v9 and v10) with this library results in very bad detection results. I converted them from .pt -> .onnx using `trtyolo` and...

help wanted
question

希望可以增加对YOLO-World的支持

enhancement

for a single img ``` all predict time: 0.0109 秒 all predict time: 0.0109 秒 all predict time: 0.0109 秒 ``` for batch=6 ``` all predict time: 0.0496 秒 all...

documentation

我使用MD方式编译将代码打成deploy.dll动态库。然后在mfc的demo中调用。 使用DeployDet时完全正常,但是使用DeployCGDet(model = std::make_shared(enginePath, is_obb);)报错 `Program: E:\yolov8Testv1\Yolov8Detect\x64\Debug\deploy.dll File: C:\Program Files (x86)\Microsoft Visual Studio\2017\Enterprise\VC\Tools\MSVC\14.16.27023\include\vector Line: 1733 Expression: vector subscript out of range For information on how your program can cause an...

help wanted