``` pip install trt_pose ``` 另外,如果在使用trt_pose时遇到错误,可以检查代码中import语句中的模块名称是否正确,或者检查模块文件是否正确地放置在Python解释器可以找到的位置。如果问题仍然存在,可以尝试创建一个空的__init__.py文件,以便Python将该目录视为一个模块包。©...
trt_pose 旨在在 NVIDIA Jetson 上启用实时姿势估计。 您可能会发现它对其他 NVIDIA 平台也很有用。 目前该项目包括 预先训练的人体姿态估计模型,能够在 Jetson Nano 上实时运行。 这使得检测left_eye 、 left_elbow 、 right_ankle等特征变得容易。 用于训练格式的任何关键点任务数据的训练脚本。 这意味着您可以...
TrtPose是一款轻量级,推理速度极快的姿态估计模型,作者在本地基于C++、Cuda和Tensorrt实现的TrtPose,单帧推理不足2ms, 在JetsonNano上也运行得非常快。 原代码基于PyTorch实现: https://github.com/NVIDIA-AI-IOT/trt_pose 在Python代码基础上,本文也基于TensorRT c++ API手撕网络层,创建更高效的TensorRT引擎文件,在...
trt_pose is aimed at enabling real-time pose estimation on NVIDIA Jetson. You may find it useful for other NVIDIA platforms as well. Currently the project includes Pre-trained models for human pose estimation capable of running in real time on Jetson Nano. This makes it easy to detect featur...
refine_peaks_out"""pass#no classes#variables with complex values__loader__= None#(!) real value is '<_frozen_importlib_external.ExtensionFileLoader object at 0x7f3852b41128>'__spec__= None#(!) real value is "ModuleSpec(name='trt_pose.plugins', loader=<_frozen_importlib_external.Extensio...
trt_pose_trt.zipRe**弥补 上传122.22MB 文件格式 zip https://github.com/NVIDIA-AI-IOT/trt_pose This project features multi-instance pose estimation accelerated by NVIDIA TensorRT. It is ideal for applications where low latency is necessary. It includes Training scripts to train on any keypoint ...
Hand gesture recoginition (hand pose classification) Cursor control Mini-Paint type of application Pretrained model for gesture recoginition Getting Started Step 1 - Install trt_pose and it's dependencies Make sure to follow all the instructions from trt_pose and install all it's depened...
trt_pose_trt.zip评分: https://github.com/NVIDIA-AI-IOT/trt_pose This project features multi-instance pose estimation accelerated by NVIDIA TensorRT. It is ideal for applications where low latency is necessary. It includes Training scripts to train on any keypoint task data in MSCOCO format A...
Step 1 - Install trt_pose and it's dependencies Make sure to follow all the instructions from trt_pose and install all it's depenedencies. Follow step 1 and step 2 fromhttps://github.com/NVIDIA-AI-IOT/trt_pose. Step 2 - Install dependecies for hand pose ...
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