Metadata-Version: 2.1
Name: landmark-detection
Version: 0.1.0
Summary: This is for detect coordinates parts of the body
Home-page: UNKNOWN
Author: Mahmoud kouwis
Author-email: <kouwiss.jr@gmail.com>
License: UNKNOWN
Description: 
        # Full-Body-LandMarks-Detection
        
        [Github](https://github.com/kouwis/Full_Body_LandMarks)
        
        ### Explained
        
        In this repo used [Mediapipe](https://google.github.io/mediapipe/solutions/solutions.html) solutions in sections:
        
        - Face Mesh
        - Hands
        - Pose
        
         Together, this will extract all coordinates points for any part of the body. In any class of them, there are two functions: 
        - Find Points
        - Drawing
        
        **Find_Points** function has some of sub functions those are body parts after that returns a list of class points such as: Face points
        
        1. Divide Find_Points function in class [Face](https://google.github.io/mediapipe/solutions/face_mesh.html) into:
        
        
        	- Left Eye
        	- Right Eye
        	- Nose
        	- Mouth
        	- Head
        
        
        2. Divide Find_Points function in class [Hands](https://google.github.io/mediapipe/solutions/hands.html) into:
        
        
        	- Fingers
        
        
        3. Divide Find_Points function in class [Body](https://google.github.io/mediapipe/solutions/pose.html) into:
        
        
        	- Chest
        	- Arms
        	- Legs
        
        
        **Drawing** function returns an image with labeled points.
        
        
        ### Output
        
        
        In the face parts, It returns a 2d list the first for all face points and the second for point coordinates **otherwise** 
        it returns a 3d list  the first for all class points, the second for the beginning and end point in the part, and the third for point coordinates 
        
        
        ### Usage
        
        ```python
        
        #Imports
        import landmark as LM
        import cv2 as cv
        
        cap = cv.VideoCapture(0)  # 0 as a default webcam
        face_detector = LM.Face()  # Make instance from class
        
        while 1:
            _, img = cap.read()
        
            imgRGB = cv.cvtColor(img, cv.COLOR_BGR2RGB)
        
            # Any function of them need two parameters (image, imageRGB)
            # color, thickness and circle_radius are default parameters
            face_detector.Drawing(img, imgRGB, color=(0, 110, 100), thickness=3, circle_radius=3)
            face_detector.Find_Points(img, imgRGB)
        
            # To detect any part of the body you should call (Find_points) function
            # Any function of Them does not need parameters
            print(face_detector.Left_Eye())
        
            cv.imshow("img", img)
            cv.waitKey(1)
        
        ```
        
Keywords: python,opencv,mediapipe,detection,landmarks
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
