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Tag: yolov4
OpenVINO API 2.0 output tensor cannot convert to image
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
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
Convert yolov4-tiny to transflow lite: ValueError: cannot reshape array of size 374698 into shape (256,256,3,3)
As I try to covert my yolov4-tiny custom weight to tftile, it always happen. This is what I input: And the wrong message appear. I have checked my labels.txt and there is no space or more lines.Also, I have changed the name in config.py. Is there any way to solve this problem? Thanks for help! Attach part of my code,