face

Face and eye Recognition/face_recofnation_first.py

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+## Name - Soumyajit Chakraborty 
+## place - kolkata
+## date - 10 / 08 / 2020
+
+import cv2 as cv
+face_cascade = cv.CascadeClassifier('..\libs\haarcascade_frontalface_default.xml')
+face_cascade_eye = cv.CascadeClassifier('..\libs\haarcascade_eye.xml')
+#face_glass = cv.CascadeClassifier('..\libs\haarcascade_eye_tree_eyeglasses.xml')
+
+cap = cv.VideoCapture(0)
+while(cap.isOpened()):
+
+    falg ,img = cap.read() #start reading the camera output i mean frames
+    # cap.read() returning a bool value and a frame onject type value
+
+    gray = cv.cvtColor(img , cv.COLOR_BGR2GRAY) # converting to grayscale image to perform smoother
+    faces = face_cascade.detectMultiScale(img , 1.1, 7) #we use detectMultiscale library function to detect the predefined structures of a face
+    eyes = face_cascade_eye.detectMultiScale(img , 1.1 , 7)
+    # using for loops we are trying to read each and every frame and map
+    for(x , y ,w ,h ) in faces:
+         cv.rectangle(img , (x , y) , (x+w , y+h) , (0 , 255 , 0) , 1)
+
+    for(a , b , c , d) in eyes:
+         cv.rectangle(img, (a , b), (a+c, b+d), (255, 0, 0), 1)
+
+    cv.imshow('img' , img )
+    c = cv.waitKey(1)
+    if c == ord('q'):
+        break
+
+cv.release()
+cv.destroyAllWindows()
+
+

Face and eye Recognition/gesture_control.py

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+import cv2 as cv
+import numpy as np
+
+img = cv.imread('..\img\hand1.jpg' , 0)
+flag,frame = cv.threshold(img , 70 , 255 , cv.THRESH_BINARY)
+
+contor,_ = cv.findContours(frame.copy(),cv.RETR_TREE,cv.CHAIN_APPROX_SIMPLE)
+
+hull = [cv.convexHull(c) for c in contor]
+
+final = cv.drawContours(img , hull , -1 , (0 , 0 , 0) )
+cv.imshow('original_image' , img)
+cv.imshow('thres' , frame)
+cv.imshow('final_hsv' , final)
+
+cv.waitKey(0)
+cv.destroyAllWindows()