def getimage(path):
IDs=[]
faces=[]
imagepaths=[os.path.join(path,f) for f in os.listdir(path)]
for imagepath in imagepaths:
ID=int(os.path.split(imagepath)[-1].split('.')[0])
IDs.append(ID)
faceimage=Image.open(imagepath).convert('L')
faceNp=np.array(faceimage,'uint8')
newfaceNp=cv2.resize(faceNp,None,300,300)
faces.append(newfaceNp)
cv2.imshow("Training",newfaceNp)
cv2.waitKey(10)
return np.array(IDs) , faces
cv2.destroyAllwindow();
def getimage(path):
IDs=[]
faces=[]
imagepaths=[os.path.join(path,f) for f in os.listdir(path)]
for imagepath in imagepaths:
if imagepath=="dataset\Thumbs.db":
continue
else:
ID=int(os.path.split(imagepath)[-1].split('.')[0])
IDs.append(ID)
faceimage=Image.open(imagepath).convert('L')
faceNp=np.array(faceimage,'uint8')
faces.append(faceNp)
cv2.imshow("Training",faceNp)
cv2.waitKey(10)
return np.array(IDs) , faces
cv2.destroyAllwindow();
import cv2 import sys import numpy as np windowname_in = "Example-in" windowname_out = "Example-out" ll = './image/adrian.jpg' img = cv2.imread(ll) cv2.imshow(windowname_in, img) out = np.zeros(img.shape, dtype=np.uint8) out = cv2.GaussianBlur(img, (3, 3), 0) cv2.imshow(windowname_out, out) cv2.waitKey(0) cv2.destroyAllwindow()
windowname_out = "Example-out" ll = './image/adrian.jpg' img = cv2.imread(ll) def doCanny(img,lowThresh,highThresh,aperture): width,height,channel = img.shape size = width,height,1 out = np.zeros(size,dtype=np.uint8) out = cv2.Canny(img,lowThresh,highThresh,aperture) return out def doPyrDown(img): width,height,channel = img.shape assert width%2 == 0 and height%2 == 0 , "error" size = width/2,height/2,channel out = np.zeros(size,dtype=np.uint8) cv2.pyrDown(img,out) return out out = doPyrDown(img) out = doPyrDown(out) out = doCanny(out,0,500,3) cv2.imshow(windowname_in,img) cv2.imshow(windowname_out,out) cv2.waitKey(0) cv2.destroyAllwindow()