YoloWrapper | 采用C # 语言对 YOLOv4 目标检测算法封装,将模型在实际应用系统中落地,实现模型在线远程调用。
kandi X-RAY | YoloWrapper Summary
kandi X-RAY | YoloWrapper Summary
采用C#语言对 YOLOv4 目标检测算法封装,将模型在实际应用系统中落地,实现模型在线远程调用。
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QUESTION
I want to detect License Plate region by YOLO V3. I've used darknet to create Weights for this purpose. After training a weight file was created. The size of this file was 234 MB and I used darknet53.conv.74 file and 650 images for train.
The Config file (yolov3.cfg) is
...ANSWER
Answered 2020-Jan-07 at 10:13As you have trained by yourself, I guess you already know neural network need GPU to run faster. Anyway, for faster detection you should either reduce resolution of network or use a tiny variant of YOLO. Today, the strongest and fastest variant is presented here: yolo_v3_tiny_pan3.cfg. Others most recent darknet models are available here. Some other network, like mobilenet, are more optimized to works faster on CPU.
Anyway, these alternative networks requires AlexeyAB darknet implementation to works, so you will need to recompiler darknet of your c# wrapper.
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