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prac.py
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prac.py
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import cv2
import numpy as np
cam = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
face_data = []
cnt = 0
user_name = input("Enter your name")
while True:
ret,frame = cam.read()
if(ret == False):
print("Something Went Wrong")
continue
key_pressed = cv2.waitKey(1) # bit masking
if(key_pressed == ord('q')):
break
faces = face_cascade.detectMultiScale(frame,1.3,5)
if(len(faces) == 0):
cv2.imshow("Video",frame)
continue
for face in faces:
x,y,w,h = face
face_section = frame[y-10:y+h+10,x-10:x+w+10]
face_section = cv2.resize(face_section,(100,100))
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,255),2)
if(cnt%10 == 0):
print("Taking Picture ",int(cnt/10))
face_data.append(face_section)
cnt+=1
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow("Video",frame)
cv2.imshow("Video1",face_section)
#Saving images
print("Total Faces" , len(face_data))
face_data = np.array(face_data)
face_data = face_data.reshape((face_data.shape[0],-1))
np.save("FaceData/"+user_name+".npy",face_data)
print("Saved at FaceData/"+user_name+".npy")
print(face_data.shape)
cam.release()
cv2.destroyAllWindows()