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https://github.com/bobld/yolov4mlnet

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
https://github.com/bobld/yolov4mlnet

computer-vision csharp dotnet dotnet-core machine-learning ml ml-net neural-network onnx v4 v5 yolo yolov4 yolov5

Last synced: 6 days ago
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Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

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README

        

**See [here](https://github.com/BobLd/YOLOv3MLNet) for YOLO v3 use.**

# YOLO v5 in ML.Net
Use YOLO v5 with ML.Net

Thanks to [raulsf6](https://github.com/raulsf6), [deanbennettdeveloper](https://github.com/deanbennettdeveloper) and [keesschollaart81](https://github.com/keesschollaart81)
- See the discussion in the [Tips for modifying this for YoloV5](https://github.com/BobLd/YOLOv4MLNet/issues/2) issue.
- See the [yolo-v5-incl](https://github.com/BobLd/YOLOv4MLNet/tree/yolo-v5-incl) branch
- See keesschollaart81's [gist](https://gist.github.com/keesschollaart81/83de609f0852670656290fe0180da318)

# YOLO v4 in ML.Net
Use YOLO v4 with ML.Net

Onnx model available in the onnx/models repos [here](https://github.com/onnx/models/tree/main/validated/vision/object_detection_segmentation/yolov4).

Also check https://github.com/dotnet/machinelearning/issues/5466

# Results
![kite](https://github.com/BobLd/YOLOv4MLNet/blob/master/YOLOv4MLNet/Assets/Output/kite._processed.jpg)
![road](https://github.com/BobLd/YOLOv4MLNet/blob/master/YOLOv4MLNet/Assets/Output/cars%20road._processed.jpg)
![gog & cats](https://github.com/BobLd/YOLOv4MLNet/blob/master/YOLOv4MLNet/Assets/Output/dog_cat._processed.jpg)

# Resources
- https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov4
- https://github.com/hunglc007/tensorflow-yolov4-tflite
- https://towardsdatascience.com/yolo-v4-optimal-speed-accuracy-for-object-detection-79896ed47b50