Metadata-Version: 2.1
Name: aiocv
Version: 0.0.36
Summary: aiocv Is A Python Library Used To Track Hands, Track Pose, Detect Face, Detect Contours (Shapes), Detect Cars, Detect Number Plate, Detect Smile, Detect Eyes, Control Volume Using Gesture, Read QR Codes And Create Face Mesh On Image/Video.
Home-page: UNKNOWN
Author: Abhimanyu Sharma
Author-email: speedcuberabhi@gmail.com
License: UNKNOWN
Description: # AIOCV
        
        aiocv Is A Python Library Used To Track Hands, Track Pose, Detect Face, Detect Contours (Shapes), Detect Cars, Detect Number Plate, Detect Smile, Detect Eyes, Control Volume Using Gesture, Read QR Codes And Create Face Mesh On Image/Video.
        
        ## Installation
        
        Use the package manager [pip](https://pypi.org/project/aiocv/) to install aiocv.
        
        ```bash
        pip install aiocv
        ```
        
        ## Usage
        #### Hand Tracking
        ```python
        import aiocv
        import cv2
        img = cv2.imread("hands.png")
        # Make An Object
        hands = aiocv.HandTrack()
        # Use findHands() Method To Track Hands On Image/Video
        hands.findHands(img,draw=True)
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findHands() Method :
        ```python
        findHands(self,img=None,draw=True)
        ```
        #### If You Are Not Getting Desired Results, Consider Changing detectionConfidence = 1 and trackConfidence = 1
        #### Output :
        ![Hand Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example4.png)
        #### Pose Detector
        ```python
        import aiocv
        import cv2
        img = cv2.imread("man.png")
        # Make An Object
        pose = aiocv.PoseDetector()
        # Use findPose() Method To Detect Pose On Image/Video
        pose.findPose(img,draw=True)
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findPose() Method :
        ```python
        findPose(self,img=None,draw=True)
        ```
        #### If You Are Not Getting Desired Results, Consider Changing detectionConfidence = 1 and trackConfidence = 1
        #### Output :
        ![Pose Track Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example3.png)
        #### Face Detection
        ```python
        import aiocv
        import cv2
        img = cv2.imread("elon_musk.png")
        # Make An Object
        face = aiocv.FaceDetector()
        # Use findFace() Method To Detect Face On Image/Video
        face.findFace(img,draw=True)
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findFace() Method :
        ```python
        findFace(self,img=None,draw=True)
        ```
        #### If You Are Not Getting Desired Results, Consider Changing detectionConfidence = 1
        #### Output :
        ![Face Detection Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example1.png)
        #### Face Mesh
        ```python
        import aiocv
        import cv2
        img = cv2.imread("elon_musk.png")
        # Make An Object
        mesh = aiocv.FaceMesh()
        # Use findFaceMesh() Method To Detect Face And Draw Mesh On Image/Video
        mesh.findFaceMesh(img,draw=True)
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findFaceMesh() Method :
        ```python
        findFaceMesh(self,img=None,draw=True)
        ```
        #### If You Are Not Getting Desired Results, Consider Changing detectionConfidence = 1 and trackConfidence = 1
        #### Output :
        ![Face Mesh Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example2.png)
        #### Contour (Shape) Detection
        ```python
        import aiocv
        import cv2
        img = cv2.imread("shapes.png")
        # Make An Object
        shape = aiocv.ContourDetector(img)
        # Use findContours() Method To Detect Shapes On Image/Video
        shape.findContours(img,draw=True)
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Output :
        ![Contour Detection Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example5.png)
        #### Car Detection
        ```python
        import aiocv
        import cv2
        img = cv2.imread("car.png")
        # Make An Object
        car = aiocv.CarDetector(img)
        # Use findCars() Method To Detect Cars On Image/Video
        car.findCars()
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findCars() Method :
        ```python
        findCars(self,color=(255,0,0),thickness=2)
        ```
        #### Output :
        ![Car Detection Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example9.png)
        #### Number Plate Detection
        ```python
        import aiocv
        import cv2
        img = cv2.imread("car.png")
        # Make An Object
        car = aiocv.NumberPlateDetector(img)
        # Use findNumberPlate() Method To Detect Number Plate On Image/Video
        car.findNumberPlate()
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findNumberPlate() Method :
        ```python
        findNumberPlate(self,color=(255,0,0),thickness=2)
        ```
        #### Output :
        ![Number Plate Detection Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example6.png)
        #### Smile Detection
        ```python
        import aiocv
        import cv2
        img = cv2.imread("person.png")
        # Make An Object
        smile = aiocv.SmileDetector(img)
        # Use findSmile() Method To Detect Smile On Image/Video
        smile.findSmile()
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findSmile() Method :
        ```python
        findSmile(self,color=(255,0,0),thickness=2)
        ```
        #### Output :
        ![Smile Detection Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example7.png)
        #### Eyes Detection
        ```python
        import aiocv
        import cv2
        img = cv2.imread("person.png")
        # Make An Object
        eyes = aiocv.EyesDetector(img)
        # Use findEyes() Method To Detect Eyes On Image/Video
        eyes.findEyes()
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findEyes() Method :
        ```python
        findEyes(self,color=(255,0,0),thickness=2)
        ```
        #### Output :
        ![Eyes Detection Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example8.png)
        #### Control Volume Using Gesture
        ```python
        import aiocv
        # Make An Object
        gvc = aiocv.GestureVolumeControl()
        # Use controlVolume() Method To Control Volume
        gvc.controlVolume()
        ```
        #### Params For controlVolume() Method :
        ```python
        controlVolume(self,color=(255,0,0),thickness=2)
        ```
        #### Params For GestureVolumeControl Class :
        ```python
        gvc = aiocv.GestureVolumeControl(webcamIndex = 0)
        # If You Want To Control From Other Camera, Set The webcamIndex Accordingly.
        ```
        #### Output :
        ![Gesture Volume Control Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example10.png)
        #### Read QR Code
        ```python
        import aiocv
        import cv2
        img = cv2.imread("qr.png")
        # Make An Object
        qr = aiocv.QRCodeReader(img)
        # Use findQRCode() Method To Detect QR Code On Image/Video
        text=qr.findQRCode()
        cv2.imshow("Image",img)
        cv2.waitKey(0)
        ```
        #### Params For findQRCode() Method :
        ```python
        findQRCode(self,color=(255,0,0),thickness=3)
        ```
        #### To Print The Extracted Text :
        ```python
        print(text)
        ```
        #### Output :
        ![QR Code Detected Image](https://raw.githubusercontent.com/0xN1nja/aiocv/master/examples/example11.png)
        ## Contributing
        Pull Requests Are Welcome. For Major Changes, Please Open An Issue First To Discuss What You Would Like To Change.
        
        Please Make Sure To Update Tests As Appropriate.
        
        ## License
        [MIT](https://github.com/0xN1nja/aiocv/blob/master/LICENCE.txt)
Keywords: python,machine-learning,mediapipe,deep-learning,tensorflow
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
