使用 YOLO v4 和 v5 (ONNX) 模型在 C# 中使用 ML.Net 进行对象检测.zip

**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    # 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