import cv2 import numpy as np mouth_cascade = cv2.CascadeClassifier('./cascade_files/haarcascade_mcs_mouth.xml') if mouth_cascade.empty(): raise IOError('Unable to load the mouth cascade classifier xml file') cap = cv2.VideoCapture(0) ds_factor = 0.5 while True: ret, frame = cap.read() frame = cv2.resize(frame, None, fx=ds_factor, fy=ds_factor, interpolation=cv2.INTER_AREA) gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) mouth_rects = mouth_cascade.detectMultiScale(gray, 1.7, 11) for (x,y,w,h) in mouth_rects: y = int(y - 0.15*h) cv2.rectangle(frame, (x,y), (x+w,y+h), (0,255,0), 3) break cv2.imshow('Mouth Detector', frame) c = cv2.waitKey(1) if c == 27: break cap.release() cv2.destroyAllWindows()
OpenCV with Python By Example
By :
OpenCV with Python By Example
By:
Overview of this book
Table of Contents (19 chapters)
OpenCV with Python By Example
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Applying Geometric Transformations to Images
Detecting Edges and Applying Image Filters
Cartoonizing an Image
Detecting and Tracking Different Body Parts
Extracting Features from an Image
Creating a Panoramic Image
Seam Carving
Detecting Shapes and Segmenting an Image
Object Tracking
Object Recognition
Stereo Vision and 3D Reconstruction
Augmented Reality
Index
Customer Reviews