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added haar cascades, and image processing

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Yogesh Ojha 2018-10-06 22:33:37 +05:30 committed by GitHub
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@ -86,13 +86,59 @@ cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
# Adding Text On Images
cv2.putText(img,"Hello World!!!", (x,y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
# Blending Images
img1 = cv2.imread('cat.png')
img2 = cv2.imread('openCV.jpg')
dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
# Thresholding image
# Binary Thresholding
_,thresImg = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
# Adaptive Thresholding
adapThres = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)
# Blur Image
# Gaussian Blur
blur = cv2.GaussianBlur(img,(5,5),0)
# Median Blur
medianBlur = cv2.medianBlur(img,5)
# Canny Edge Detection
img = cv2.imread('cat.jpg',0)
edges = cv2.Canny(img,100,200)
# Face Detection using Haar Cascades
# Download Haar Cascades from https://github.com/opencv/opencv/blob/master/data/haarcascades/
import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
img = cv2.imread('human.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
aces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# destroyAllWindows() destroys all windows. If you wish to destroy specific window pass the exact name of window you created.
# destroyAllWindows() destroys all windows.
# If you wish to destroy specific window pass the exact name of window you created.
```
Further Reading:
Download Cascade from
<https://github.com/opencv/opencv/blob/master/data/haarcascades/>
OpenCV drawing Functions
<https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html>