onnx convert error

[AIgiraffe]

the code of https://github.com/CaoWGG/TensorRT-YOLOv4 can`t converts the yolo-fastest to onnx model. typeerror: buffer is too small for requested array

[MuhammadAsadJaved]

@jasonlove521 Have you resolved this issue? Are you trying to run Nvidia Jetson devices? Xavier NX etc?

[AIgiraffe]

@MuhammadAsadJaved I train the model by using yolov5-torch, then convert to tensort engine. There is some problem with trt-engine. The mAP and inference speed of trt-engine`s are verlt low.

[MuhammadAsadJaved]

Have you tried to convert the Yolo-Fastest model which the provided in the repo?

[AIgiraffe]

@MuhammadAsadJaved yes. i have done, but that repo can`t convert the Yolo-Fastest to trt-engine,because Depthwise Convolution　is used in the Yolo-Fastest, which occur error. i try to modify the code of the provided repo so that it can work, but the performance of trt_engine is not expected with low AP and slow speed.