pose-estimation-mp 0.1.5

A Body, Hand, Face tracking utility

Pose_Estimation

This project contains Full Body estimation, Face Tracking and Hand Estimation all using mediapipe library. These projects were done with help of freeCodeCamp.org video.

Contents

• Installation
• Body_Estimations
• Hand_Estimation
• Face_Tracking
• Face_Mesh_Detection

Installation

To use this repo use

git clone https://github.com/REZ3LIET/Pose_Estimations.git

or

pip3 install pose-estimation-mp

Body_Estimations

This contains the module body_estimation_module.py which can be used to track the landmarks on a human body. It is limited to tracking a single person at a time and gives 33 unique landmarks on the body.

Usage

To use body_estimation_module.py in your code simply import one of the following ways:

import Body_Tracking
from Body_Tracking import body_tracking_module as btm
from Body_Tracking.body_tracking_module import BodyPoseDetect

Example

To use the body_estimation_module.py go to Body_Tracking directory in terminal

• For default execution:

python3 bodytracking_module.py

• To execute with an image

python3 bodytracking_module.py -p Data/Images/handstand.jpg

• To execute on a video

python3 bodytracking_module.py -v -p Data/Videos/dance.mp4

Hand_Estimation

This contains the module hand_tracking_module.py which can be used to track the landmarks on hand(s) and also display them. It can track maximum of 2 handas at an instant.

Usage

To use hand_tracking_module.py in your code simply import one of the following ways:

import Hand_Tacking
from Hand_Tacking import hand_tracking_module as htm
from Hand_Tacking.hand_tracking_module import HandPoseDetect

Example

To use the hand_tracking_module.py go to Hand_Tacking directory in terminal

• For default execution:

python3 hand_tracking_module.py

• To execute with an image

python3 hand_tracking_module.py -p Data/Images/covered_face.jpg

• To execute on a video

python3 hand_tracking_module.py -v -p Data/Videos/piano_playing.mp4

Face_Tracking

This contains the module face_tracking_module.py which can be used to detect and track the face by drawing a bounding box around it. To detect faces at farther range set model type to 1.

Usage

To use face_tracking_module.py in your code simply import one of the following ways:

import Face_Tracking
from Face_Tracking import face_tracking_module as ftm
from Face_Tracking.face_tracking_module import FaceTrack

Example

To use the face_tracking_module.py go to Face_Tracking directory in terminal

• For default execution:

python3 face_tracking_module.py

• To execute with an image

python3 face_tracking_module.py -p Data/Images/human_3.jpg

• To execute on a video

python3 face_tracking_module.py -v -p Data/Videos/humans_1.mp4

Face_Mesh_Detection

This contains the module face_mesh_detection_module.py which can be used to detect and track the face by drawing a mesh on it around it. Max 2 faces can be detected.

Usage

To use face_mesh_detection_module.py in your code simply import one of the following ways:

import Face_Tracking
from Face_Tracking import face_mesh_detection_module as ftm
from Face_Tracking.face_mesh_detection_module import FaceDetect

Example

To use the face_mesh_detection_module.py go to Face_Tracking directory in terminal

• For default execution:

python3 face_mesh_detection_module.py

• To execute with an image

python3 face_mesh_detection_module.py -p Data/Images/human_2.jpg

• To execute on a video

python3 face_mesh_detection_module.py -v -p Data/Videos/humans_2.mp4