Comments (1)
- 可以先看下dev分支,还没merged进main分支,会编译友好一些:https://github.com/DefTruth/lite.ai.toolkit/tree/dev
- 目标跟踪我自己也挺感兴趣的,也在我原本的规划中,是一个很重要的模块,但恐怕短时间内没法集成那么快。现在主要在完善目标检测、人脸检测和抠图的模块。不过欢迎watch,这个项目会一直更新下去,当然也很欢迎您提交目标跟踪相关的PR,一个人确实时间有限哈哈~
- 关于跨平台,还需要完善,一些宏处理后期也是需要优化的。
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Related Issues (20)
- Can not use OpenCL on Macos HOT 1
- facemesh HOT 1
- 建议作者继续更新一些热门的,飞桨那边不好用速度也慢
- which dir to build as bellow says, lite.ai.toolkit or ffmpeg ?
- 什么时候有支持yolov8的推理呢? HOT 3
- 大佬你好 litemodnet_dyn运行时抠出的前景图像fgr和pha图像会有不知名黑色块块 HOT 2
- 相关onnxruntime的问题请教 HOT 4
- Question + Suggestion HOT 2
- How to obtain KPS from using Retinaface implementation HOT 2
- MacOS 下开启 Metal 会崩溃 HOT 4
- MacOS 下开启 Metal 应该使用什么方案 HOT 3
- 求兼容macOS m1 HOT 4
- RESOURCES HOT 1
- Compile on M1 Chip HOT 5
- Example4: Face Recognition using ArcFace. 怎么加速推理时间? HOT 1
- rvm模型用mnn推理结果有误啊 HOT 1
- batch glint inference HOT 2
- MacOS下启用Metal加速后,效果较差,需要如何改进呢? HOT 1
- 加入mrnet的mnn部署 HOT 1
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