基于C/C++/Python的计算机视觉模型,实现目标检测、跟踪、人脸识别、手势、情绪和姿势识别

上传者: xixixixixixixi21 | 上传时间: 2022-04-25 16:05:40 | 文件大小: 75.83MB | 文件类型: ZIP
使用OpenPose/DLIB库实现一些最先进的计算机视觉应用程序。 基于C/C++/Python的计算机视觉模型,使用OpenPose、OpenCV、DLIB、Keras和Tensorflow库。目标检测、跟踪、人脸识别、手势、情绪和姿势识别 C/C++/Python based computer DLIB:计算机视觉和其他机器学习的现代C++工具包。 Kerasify:用于从C++应用程序运行KARAS模型的小型库。 OPENCV:开源计算机视觉库。 OpenStA:一个实时多人关键点检测和多线程C++库。 操作系统(支持): Ubuntu 16.04 Nvidia Jetson TX2 要求: 至少有1.6 GB可用的NVIDIA图形卡(NVIDIA smi命令检查Ubuntu中可用的GPU内存)。 至少2 GB的可用RAM内存。 推荐:cuDNN和至少8核的CPU。

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