我正在使用下面的代码来检测人脸:
import io
import picamera
import cv2
import numpy
import PIL
from PIL import Image
from resizeimage import resizeimage
#Load a cascade file for detecting faces
face_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml')
#Create a memory stream so photos doesn't need to be saved in a file
stream = io.BytesIO()
#Get the picture (low resolution, so it should be quite fast)
#Here you can also specify other parameters (e.g.:rotate the image)
with picamera.PiCamera() as camera:
camera.resolution = (640, 480)
camera.vflip = False
camera.hflip = False
camera.brightness = 60
camera.capture(stream, format='jpeg')
#Convert the picture into a numpy array
buff = numpy.fromstring(stream.getvalue(), dtype=numpy.uint8)
#Now creates an OpenCV image
image = cv2.imdecode(buff, 1)
#Load a cascade file for detecting faces
#face_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml')
#Convert to grayscale
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
#Look for faces in the image using the loaded cascade file
faces = face_cascade.detectMultiScale(gray, 1.1, 5)
print "Found "+str(len(faces))+" face(s)"
#Draw a rectangle around every found face
#Crop faces and save to separate files
id = 1
for (x,y,w,h) in faces:
cv2.rectangle(image,(x,y),(x+w,y+h),(255,0,0),2)
cropped = image[ y : y+h, x : x+w ]
#RESIZE IMAGE to 92x112
cropped = cv2.resize(cropped,None,92,112)
cv2.imwrite("../reco/test_faces/cropped_face" + str(id) + ".png", cropped)
id = id + 1
最后,我想将面孔裁剪为图像文件,并将其大小调整为92x112。这就是我尝试的
cropped = cv2.resize(cropped,None,92,112)
当我运行这个我得到
OpenCV错误:在调整大小时,文件/build/opencv-ISmtkH/opencv-2.4.9.1+dfsg/modules/imgproc/src/imgwarp断言失败(dsize.area()||(inv_scale_x> 0 && inv_scale_y> 0))。 cpp,第1835行回溯(最近一次通话最近):文件“ 1track.py”,第48行,裁剪= cv2.resize(croped,None,92,112)cv2.error:/build/opencv-ISmtkH/opencv-2.4。 9.1 + dfsg / modules / imgproc / src / imgwarp.cpp:1835:错误:(-215)dsize.area()|| (inv_scale_x> 0 && inv_scale_y> 0)在函数调整大小中
任何帮助将是巨大的。对不起,如果马术很愚蠢,我是编程的绝对新手,上面的代码是谷歌搜索的结果。。谢谢!
要将图像调整为新尺寸,您需要知道新尺寸和当前尺寸之间的比例。因此,如果要将(例如)640x480的图像设置为92x112的图像,请执行以下操作:
92/640 = 0.143 112/480 = 0.233
您可以在cv2.resize函数中使用以下比率:
cropped = cv2.resize(cropped, (0,0), fx=0.143, fy=0.233)
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