caffe_rtpose | Realtime C code for multi-person pose estimation | Computer Vision library

by CMU-Perceptual-Computing-Lab C++ Version: Current License: Non-SPDX

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kandi X-RAY | caffe_rtpose Summary

caffe_rtpose is a C++ library typically used in Artificial Intelligence, Computer Vision applications. caffe_rtpose has no bugs, it has no vulnerabilities and it has low support. However caffe_rtpose has a Non-SPDX License. You can download it from GitHub.

C++ code repo for the ECCV 2016 demo, "Realtime Multiperson Pose Estimation", Zhe Cao, Shih-En Wei, Tomas Simon, Yaser Sheikh. Thanks Ginés Hidalgo Martínez for restructuring the code. The [full project repo] includes matlab and python version, and training code. This project is under the terms of the [license] LICENSE).

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caffe_rtpose has a low active ecosystem.

It has 350 star(s) with 197 fork(s). There are 44 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 48 have been closed. On average issues are closed in 27 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of caffe_rtpose is current.

Quality

caffe_rtpose has 0 bugs and 0 code smells.

Security

caffe_rtpose has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

caffe_rtpose code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

caffe_rtpose has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

caffe_rtpose releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 5209 lines of code, 307 functions and 31 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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caffe_rtpose Key Features

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caffe_rtpose Examples and Code Snippets

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Community Discussions

Trending Discussions on caffe_rtpose

How to compile caffe_rtpose on OSX?

QUESTION

How to compile caffe_rtpose on OSX?

Asked 2017-Apr-01 at 10:26

I've recently bumped spotted caffe_rtpose and I tried to compile and run the example. Unfortunately I'm super experienced with c++ so I ran into a lot of issues compiling and linking.

I've tried tweaking the Makefile config (modified from the existing Ubuntu config). (I'm using a system running OSX 10.11.5 with an nVidia GeForce 750M and I have installed CUDA 7.5 and libcudnn):

...

ANSWER

Answered 2017-Apr-01 at 10:26

I have finally managed to compile the rtpose example.

Here's what I did:

Swapped the Frame array for a vector in examples/rtpose/rtpose.cpp, as mentioned above:

Source https://stackoverflow.com/questions/43031790

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install caffe_rtpose

Required: CUDA & cuDNN installed on your machine. If you have installed OpenCV 2.4 in your system, go to step 3. If you are using OpenCV 3, uncomment the line # OPENCV_VERSION := 3 on the file Makefile.config.Ubuntu14.example (for Ubuntu 14) and/or Makefile.config.Ubuntu16.example (for Ubuntu 15 or 16). In addition, OpenCV 3 does not incorporate the opencv_contrib module by default. Assuming you have manually installed it and you need to use it, append opencv_contrib at the end of the line LIBRARIES += opencv_core opencv_highgui opencv_imgproc in the Makefile file. Build caffe & rtpose.bin + download the required caffe models (script tested on Ubuntu 14.04 & 16.04, it uses all the available cores in your machine):**.
Required: CUDA & cuDNN installed on your machine.
If you have installed OpenCV 2.4 in your system, go to step 3. If you are using OpenCV 3, uncomment the line # OPENCV_VERSION := 3 on the file Makefile.config.Ubuntu14.example (for Ubuntu 14) and/or Makefile.config.Ubuntu16.example (for Ubuntu 15 or 16). In addition, OpenCV 3 does not incorporate the opencv_contrib module by default. Assuming you have manually installed it and you need to use it, append opencv_contrib at the end of the line LIBRARIES += opencv_core opencv_highgui opencv_imgproc in the Makefile file.
Build caffe & rtpose.bin + download the required caffe models (script tested on Ubuntu 14.04 & 16.04, it uses all the available cores in your machine):**

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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