If you are a beginner in OpenCV programming, then this post may be helpful in providing a insight towards the basic image processing algorithms and its functions available in OpenCV.
Requirments:
OpenCV 2.4.3 (for other versions visit HERE )
Microsoft Visual Studio 10 (or higher version)
OpenCV Linking Guide
First, install OpenCV library and link it with C compiler ( I am using Microsoft Visual studio in Windows platform). Learn the basic image processing functions available in OpenCV through the examples provided in the blog. Here is a list of algorithms you can experiment on to make OpenCV handy.
Requirments:
OpenCV 2.4.3 (for other versions visit HERE )
Microsoft Visual Studio 10 (or higher version)
OpenCV Linking Guide
First, install OpenCV library and link it with C compiler ( I am using Microsoft Visual studio in Windows platform). Learn the basic image processing functions available in OpenCV through the examples provided in the blog. Here is a list of algorithms you can experiment on to make OpenCV handy.
- Load, Display and Save an image
- Capture Video from Webcam
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- Convert RGB to gray / other color spaces
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- Sobel Edge Detection / Laplacian operator
- Hough Circle Detection
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- Face Detection using Haar-Cascade Classifier
It should be really usefull to do a complete Topic about creating haarcascade clasifier ;)
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import cv2.cv as cv
from video import create_capture
from common import clock, draw_str
help_message = '''
USAGE: facedetect.py [--cascade ] [--nested-cascade ] []
'''
def detect(img, cascade):
rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30), flags = cv.CV_HAAR_SCALE_IMAGE)
if len(rects) == 0:
return []
rects[:,2:] += rects[:,:2]
return rects
def draw_rects(img, rects, color):
for x1, y1, x2, y2 in rects:
cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
if __name__ == '__main__':
import sys, getopt
print help_message
args, video_src = getopt.getopt(sys.argv[1:], '', ['cascade=', 'nested-cascade='])
try: video_src = video_src[0]
except: video_src = 0
args = dict(args)
cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")
nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")
cascade = cv2.CascadeClassifier(cascade_fn)
nested = cv2.CascadeClassifier(nested_fn)
cam = create_capture(video_src, fallback='synth:bg=../cpp/lena.jpg:noise=0.05')
while True:
ret, img = cam.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.equalizeHist(gray)
t = clock()
rects = detect(gray, cascade)
vis = img.copy()
draw_rects(vis, rects, (0, 255, 0))
for x1, y1, x2, y2 in rects:
roi = gray[y1:y2, x1:x2]
vis_roi = vis[y1:y2, x1:x2]
subrects = detect(roi.copy(), nested)
draw_rects(vis_roi, subrects, (255, 0, 0))
dt = clock() - t
draw_str(vis, (20, 20), 'time: %.1f ms' % (dt*1000))
cv2.imshow('facedetect', vis)
if 0xFF & cv2.waitKey(5) == 27:
break
cv2.destroyAllWindows()
save this code in your python idle as facedetect.py.then run in ur terminal $python facedetect.py
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