xun-xh/yolov5-onnx-pyqt-exe
yolo模型使用cv2推理并使用qt5添加GUI后打包部署。pt模型转onnx模型；opencv.dnn完成推理；pyqt实现可视界面；打包为exe方便移植
This project helps operations engineers and quality control specialists implement real-time object detection on Windows systems. You can input live video streams (from cameras, network sources, or screens) or static images, and it will output a visual display with bounding boxes around detected objects. This is ideal for quickly deploying custom object detection solutions for monitoring, security, or inspection tasks without needing a complex development environment.
128 stars. No commits in the last 6 months.
Use this if you need a user-friendly, standalone application for detecting specific objects in video feeds or images on a Windows machine, especially after training your own Yolov5 model.
Not ideal if you require a highly customizable, backend-focused solution or if your primary deployment environment is not Windows.
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128
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Language
Python
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Last pushed
May 19, 2023
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