Naofel El Alouani

I have the same bug with the following code: ```python def capture(): cam = dxcam.create() frame_counter = 0 start_time = time.perf_counter() cam.start(target_fps=144) while True: image = cam.get_latest_frame() if image is...

On my side, the prediction is still very slow. I use the super-gradients cloned from Github with a RTX 2060. I made a test on a model generated from a...

Yes it's only the first inference. Thank you, I will clone the repo. I converted the .pth to.onnx and then the .onnx to .engine with TensorRT to optimize the inference...

Hi @NatanBagrov, For example, I tested the repo mentioned by @pranoyr (thank you for your help !) but I got the following error during the inference: ```cmd \utils\utils.py", line 109,...

Maybe I made a mistake when exporting to .onnx or .trt, I am a beginner. Is the export script in the first message correct ?

I tested this repo https://github.com/Linaom1214/TensorRT-For-YOLO-Series/blob/main/trt.py. The inference works very well with a yolov8.trt model but not for the yolonas.trt model. I think the conversion for yolonas from .pth to .trt...