Decrease in accuracy of TensorRt model (pytorch->onnx->TensorRT) on jetson nano

Question

I am inferencing TensorRt model on jetson nano. It is converted from pytorch through onnx. At the time of inference, the accuracy of TensorRt model has decreased drastically. It is an object detection type model.

link for code: https://github.com/NVIDIA/TensorRT/issues/467

Answer 1

I have figure out the problem. I don't know why but type of input effect the accuracy of model.

I have replace

img_raw = cv2.imread(image_path, cv2.IMREAD_COLOR)

by

img_raw = imageio.imread(image_path)

I will update the answer if I get to know the reason behind it.