Metadata-Version: 2.1
Name: posecamera
Version: 2.1.2
Summary: Realtime Human Pose Estimation
Home-page: https://github.com/Wonder-Tree/PoseCamera
Author: WonderTree
Author-email: hello@wondertree.co
License: Apache-2.0
Description: ## PoseCamera
        
        [![PyPI version](https://badge.fury.io/py/posecamera.svg)](https://badge.fury.io/py/posecamera) [![PoseCamera Actions Status](https://github.com/Wonder-Tree/PoseCamera/workflows/build/badge.svg)](https://github.com/Wonder-Tree/PoseCamera/actions)  [![CodeFactor](https://www.codefactor.io/repository/github/wonder-tree/posecamera/badge)](https://www.codefactor.io/repository/github/wonder-tree/posecamera) [![](https://img.shields.io/badge/-Discussions-<COLOR>.svg)](https://github.com/Wonder-Tree/PoseCamera/discussions)
        
        PoseCamera is python based SDK for multi human pose estimation through RGB webcam.
        
        ### Install
        
        install posecamera package through pip
        
        ```python
        pip install posecamera
        ```
        
        If you are having issues with the installation on Windows OS then check this [page](https://wonder-tree.github.io/PoseCamera-Docs/#/pages/troubleshooting)
        
        ### Usage
        
        > See Google colab notebook https://colab.research.google.com/drive/18uoYeKmliOFV8dTdOrXocClCA7nTwRcX?usp=sharing
        
        draw pose keypoints on image
        
        ```python
        import posecamera
        import cv2
        
        det = posecamera.pose_tracker.PoseTracker()
        
        image = cv2.imread("example.jpg")
        
        pose = det(image)
        for name, (y, x, score) in pose.keypoints.items():
            cv2.circle(image, (int(x), int(y)), 4, (255, 0, 0), -1)
        
        
        cv2.imshow("PoseCamera", image)
        cv2.waitKey(0)
        ```
        
        output of the above example
        
        ![](tmp/output.png)
        
         
        
        or get keypoints array
        
        ```text
        for pose in poses:
            keypoints = pose.keypoints
        ```
        
        Handtracker
        
        ```
        import posecamera
        import cv2
        det = posecamera.hand_tracker.HandTracker()
        
        image = cv2.imread("tmp/hands.jpg")
        keypoints, bbox = det(image)
        
        for hand_keypoints in keypoints:
            for (x, y) in hand_keypoints:
                cv2.circle(image, (int(x), int(y)), 3, (255, 0, 0), -1)
        
        cv2.imshow("PoseCamera - Hand Tracking", image)
        cv2.waitKey(0)
        ```
        
        ![](tmp/handtracker.png)
        
        #### Using Docker
        
        The official docker image is hosted on [Docker Hub](https://hub.docker.com/r/wondertree/posecamera). The very first step is to install the docker [docker](https://docs.docker.com/get-docker/) on your system.
        
        > Also note that your Nvidia driver Needs to be compatible with CUDA10.2.
        
        Doing inference on live webcam feed.
        
        ```bash
        xhost +; docker run --name posecamera --rm --net=host --gpus all -e DISPLAY=$DISPLAY --device=/dev/video0:/dev/video0 wondertree/posecamera --video=0
        ```
        
        > GPU & Webcam support \(if running docker\) is not available on Windows Operating System.
        
        To run inference on images use the following command.
        
        ```bash
        docker run --name posecamera --rm --net=host -e DISPLAY=$DISPLAY  wondertree/posecamera --images ./tmp/female_pose.jpg --cpu
        ```
        
        For more details read our [Docs](https://wonder-tree.github.io/PoseCamera-Docs/)
        
        The base of this repository is based on the following research paper.
        
        ```text
        @inproceedings{osokin2018lightweight_openpose,
            author={Osokin, Daniil},
            title={Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose},
            booktitle = {arXiv preprint arXiv:1811.12004},
            year = {2018}
        }
        ```
        
        #### Share your thoughts
        
        Join our [Discussion Channel](https://github.com/Wonder-Tree/PoseCamera/discussions)! We love to hear your ideas, suggestions or pull request
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
