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Questions - yolov4

OpenCV DNN YOLO V4 with CUDA in Python is 5x Faster than the same code in C++

I'm trying to compare the performance of the following code: frames = ... for i in range(2000): frame = frames[i % 4] model.detect(frame, .2, .4) and its counterpart in C++: frames = ... for(...
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Duloren

python

c++

opencv

yolov4

Votes: 0

Answers: 1

Latest Answer

hmm..do a comparison based on data in your repo (C++ version), (1) and (2) below are pretty close, somehow it seems that CUDA does not work properly, both might be running on CPU? (1) C++/CUDA: real =...
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eleven

OpenVINO MULTI:MYRIAD with sequential inference is inefficiency and usually shows "XLink_sem_wait:94" and "XLinkResetRemote:257" logs

I have integrated OpenVINO and PyQt5 to do the inference job as shown in the image on Windows 11 with openvino_2021.4.689 version. I reference this GitHub to finish YOLOv4 inference with NCS2. The fo...
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TseHsien

python

pyqt5

openvino

yolov4

Votes: 0

Answers: 1

Latest Answer

The optimum way to use this Multi-plugin with multiple devices is by configuring the individual devices and creating the Multi-Device on top. For example: myriad1_config = {} myriad2_config = {} ie.s...
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Rommel_Intel

OpenVINO YOLOv4 inference device didn't appear after reboot with MYRIAD but could work with CPU

My environment is Windows 11 with openvino_2021.4.752 version. When I try to run object_detection_demo.py in the demos folder of inference engine, N/A result will be occurred using CPU, and the MYRIAD...
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TseHsien

python

openvino

yolov4

Votes: 0

Answers: 1

Latest Answer

This issue (running YOLOv4 model with Object Detection Python Demo on MYRIAD device) is a known bug in OpenVINO 2021.4.752. Our developers are fixing it. On the other hand, I’ve validated the YOLOv4 m...
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Rommel_Intel

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