# Toybrick

**Repository Path**: xuebashuoge/Toybrick

## Basic Information

- **Project Name**: Toybrick
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-03
- **Last Updated**: 2021-04-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

-- Sugar He

# Modification

add rknn model (transferrd on my PC)

downsample the input video to match the computation speed, computation time for each image is about 0.2s

is able to be run on RK3399proD


# Source

The code belongs to the blog https://www.learnopencv.com/multi-person-pose-estimation-in-opencv-using-openpose

A.Requirements : 
1. OpenCV > 3.4.1
2. Matplotlib for Notebook
3. RUN getModels.sh from command line Or Download caffe model from http://posefs1.perception.cs.cmu.edu/Users/ZheCao/pose_iter_440000.caffemodel and put it in pose/coco folder


B.Compiling cpp file

Using g++
Command to compile the cpp file in ubuntu:

g++ -o3 -std=c++11 multi-person-openpose.cpp `pkg-config --libs --cflags opencv` -lpthread -o multi-person-openpose

Using CMake
cmake .
make

C. Usage
1. Python

python multi-person-openpose.py

2. C++

./multi-person-openpose


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