detectors-world 0.0.2

Detectors World is a Python package created for building Computer Vision applications in easy and handy way.

Detectors World

Detectors World is a Python package created for building Computer Vision applications in easy and handy way.

Developed by @MeqdadDev

Available Computer Vision Detectors

The available detectors in Detectors World package are:

• Hand Detection
• Face Detection
• Pose Detection
• Face Mesh Detection

More detectors will be added in the next releases. Check out contribution guides below.

Documentation

A mini version for documentation is created, check it out from here.

The complete documentation will be added soon....

Dependencies

Detectors World dependencies are:

  opencv-python
  mediapipe

Detectors World works with Python >= 3.7

Installation

Install detectors world package with pip

  pip install detectors_world

Run Detectors

Hand Detector

Hand detector examples with OpenCV:

Example 1:

from detectors_world import DetectorCreator
import cv2 as cv

cap = cv.VideoCapture(0)

creator = DetectorCreator()
hand = creator.getDetector("hand")

while True:
    status, img = cap.read()
    hand.detect(img, drawOnHand=True)
    cv.imshow("Hand Detection", img)
    cv.waitKey(1)

Example 2:

from detectors_world import DetectorCreator
import cv2 as cv

cap = cv.VideoCapture(0)

creator = DetectorCreator()
hand = creator.getDetector("hand")

while True:
    status, img = cap.read()
    hand.detect(img, drawOnHand=True)
    landmarks = hand.locate(img, drawOnHand=True, handsNumber=1)
    cv.imshow("Hand Detection", img)
    cv.waitKey(1)

Pose Detector

Pose detector examples with OpenCV:

Example 1:

from detectors_world import DetectorCreator
import cv2 as cv

cap = cv.VideoCapture(0)

creator = DetectorCreator()
pose = creator.getDetector("pose")

while True:
    status, img = cap.read()
    pose.detect(img, drawOnPose=True)
    cv.imshow("Pose Detection", img)
    cv.waitKey(1)

Face Detector

Face detector examples with OpenCV:

Example 1:

from detectors_world import DetectorCreator
import cv2 as cv

cap = cv.VideoCapture(0)

creator = DetectorCreator()
face = creator.getDetector("face")

while True:
    status, img = cap.read()
    face.detect(img, drawOnFace=True)
    cv.imshow("Face Detection", img)
    cv.waitKey(1)

Example 2:

from detectors_world import DetectorCreator
import cv2 as cv

cap = cv.VideoCapture(0)

creator = DetectorCreator()
face = creator.getDetector("face")

while True:
    status, img = cap.read()
    face.detect(img, drawOnFace=False)
    landmarks = face.locate(img, drawOnFace=True)
    cv.imshow("Face Detection", img)
    cv.waitKey(1)

Face Mesh Detector

Face mesh detector examples with OpenCV:

Example 1:

from detectors_world import DetectorCreator
import cv2 as cv

cap = cv.VideoCapture(0)

creator = DetectorCreator()
facemesh = creator.getDetector("face_mesh")

while True:
    status, img = cap.read()
    facemesh.detect(img, drawOnFace=True)
    cv.imshow("Facemesh Detection", img)
    cv.waitKey(1)

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

For new projects/examples, please make sure you've tested your code in real environment. And to avoid duplications, please take a sneak peek on the uploaded projects before making your PR.