YOLOv7 tutorial series: 3. Use onnx to export to openvino model, and call the interface for camera reasoning prediction - Code World

YOLOv7 tutorial series: 3. Use onnx to export to openvino model, and call the interface for camera reasoning prediction

Enterprise 2023-07-26 04:23:13 views: null

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Origin blog.csdn.net/weixin_45921929/article/details/128646745

YOLOv7 tutorial series: 3. Use onnx to export to openvino model, and call the interface for camera reasoning prediction

YOLOv7 tutorial series: 2. Use onnx to export tensorrt model to achieve high-performance deployment, including opencv multi-threading, image queue access, automatic saving of xml and jpg and other modules

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yolov5-6.0 project deployment + self-use Pytorch model to convert rknn model and use qt deployment on RK3568 linux (Debian) platform Use NPU reasoning to accelerate camera target recognition detailed novice tutorial

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Серия руководств YOLOv7: 3. Используйте onnx для экспорта в модель openvino и вызовите интерфейс для прогнозирования рассуждений камеры.

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