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https://github.com/CVUsers/Auto_maker
大家好,这是cv调包侠开源原创项目,您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成,包括:实时数据采集、自动标注、转换、增强,并可以直接进行yolov3、yolov4、yolov5、eficientdet等,它可以直接导出到onnx,通过openvino和tensor-RT加速,除了检测外,还支持分类算法,可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~
https://github.com/CVUsers/Auto_maker
auto-maker maker-classification mix yolov3-yolov4-yolov5 yolov5
Last synced: about 1 month ago
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大家好,这是cv调包侠开源原创项目,您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成,包括:实时数据采集、自动标注、转换、增强,并可以直接进行yolov3、yolov4、yolov5、eficientdet等,它可以直接导出到onnx,通过openvino和tensor-RT加速,除了检测外,还支持分类算法,可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~
- Host: GitHub
- URL: https://github.com/CVUsers/Auto_maker
- Owner: CVUsers
- Created: 2020-12-20T08:35:55.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-01-18T08:32:22.000Z (almost 4 years ago)
- Last Synced: 2024-08-02T01:25:10.775Z (4 months ago)
- Topics: auto-maker, maker-classification, mix, yolov3-yolov4-yolov5, yolov5
- Language: Python
- Homepage:
- Size: 176 MB
- Stars: 189
- Watchers: 5
- Forks: 39
- Open Issues: 3
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Metadata Files:
- Readme: readme.md
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