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+ ## Test models for OpenCV DNN module
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+ * This models come from official repos. You can check information below
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+ * extract testspace.zip to testspace directory in my repo
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+ * https://github.com/whdlgp/YOLO_inference_test
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+
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+ ```
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+ YOLO v4, CSP(Scaled YOLO v4) (Darknet)
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+ https://github.com/AlexeyAB/darknet/releases/tag/yolov4
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+
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+ YOLO v5 (ONNX)
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+ https://github.com/ultralytics/yolov5/releases/tag/v7.0
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+
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+ YOLO v6 (ONNX)
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+ https://github.com/meituan/YOLOv6/releases/tag/0.3.0
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+
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+ YOLO v7 (Darknet)
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+ https://github.com/AlexeyAB/darknet/issues/8595
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+
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+ YOLO v8 (ONNX, need convert)
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+ https://huggingface.co/Ultralytics/YOLOv8
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+ colab (Official)
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+ https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb
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+
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+ YOLO v9 (ONNX, need convert)
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+ https://github.com/WongKinYiu/yolov9
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+ colab (I made for converting)
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+ https://gist.github.com/whdlgp/bec49d62ddc72c9464817365c4cc7fbc
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+
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+ YOLOv10 (ONNX, need custom model, need convert)
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+ https://github.com/THU-MIG/yolov10
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+ Above not work for OpenCV 4.10.0. You need special version, https://docs.opencv.org/4.x/da/d9d/tutorial_dnn_yolo.html
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+ colab (I made for converting from OpenCV's YOLOv10 custom version)
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+ https://gist.github.com/whdlgp/f69b0c40728a2d75f564cb0d37715993
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+ ```