This is the follow-up question from here. I try to use YOLOv4 model to do the inference with OpenVINO API 2.0. Afterwards, I want to convert the output_tensor to image. I have referenced Single Image Super Resolution and Super Resolution with PaddleGAN on OpenVINO docs but in vain. And I also try to use Image.fromarray to convert it. The error
Tag: openvino
OpenVINO API 2.0 cannot read dynamic input batch with YOLOv4
I develop a Qt app to let user choose a DICOM file, then it will show the inference result. I use dcmread to read a DICOM image as many slices of images. For example, single DICOM image can convert to 60 JPG images. The following is how I input a DICOM file. I use model.reshape to make my YOLOv4 model
Custom Python Remove Interpreter with OpenVINO initialization
I use PyCharm to connect to a remote interpreter (but I guess the answer is somewhat unrelated): basically, PyCharm connects to a remote Python interpreter through SSH and execute the code on a remote machine. The remote interpreter that I used is actually “tweaked”. It is a file called mypython that contains the following code: This allows me to specify