python3.5.2+openCV3.2.0
import cv2 import numpy as np img = cv2.imread('F:\\jaffe\\KA.AN1.39.tiff') # 读取训练好的haar分类器 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') # 图像灰度化 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 运用Haar分类器扫描图像识别人脸 faces = face_cascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=10,minSize=(30, 30),flags=0) for (x, y, w, h) in faces: cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2) cv2.imshow("Faces found", img) cv2.waitKey(0) cv2.destroyAllWindows()
错误:
runfile('D:/program/python/tensorflow/minist_data_test.py', wdir='D:/program/python/tensorflow') Traceback (most recent call last): File "<ipython-input-9-8afc04dc55f7>", line 1, in <module> runfile('D:/program/python/tensorflow/minist_data_test.py', wdir='D:/program/python/tensorflow') File "E:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile execfile(filename, namespace) File "E:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile exec(compile(f.read(), filename, 'exec'), namespace) File "D:/program/python/tensorflow/minist_data_test.py", line 48, in <module> faces = face_cascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=10,minSize=(30, 30),flags=0) error: D:\Build\OpenCV\opencv-3.2.0\modules\objdetect\src\cascadedetect.cpp:1681: error: (-215) !empty() in function cv::CascadeClassifier::detectMultiScale
在引入haar那个xml文件的位置,加入打印文件内容,看看能不能找到这个文件:
f= open('haarcascade_frontalface_default.xml','r') print(f.read())果真没有找到:
FileNotFoundError: [Errno 2] No such file or directory: 'haarcascade_frontalface_default.xml'
去下载opencv_python-3.2.0+contrib-cp35-cp35m-win_amd64.whl,不知道是不是没有装它的原因。
再去装就装不上了,因为之前已经有了一个版本了,所以再装装不上。
后来从同学那里搞来了
haarcascade_frontalface_default.xml
把它放在程序目录里就好啦=0=
更新程序:检测+提取
import cv2 import numpy as np import os def fetch_face_pic(img,face_cascade): # 将图像灰度化 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 人脸检测 faces = face_cascade.detectMultiScale(gray,scaleFactor=1.1, minNeighbors=10,minSize=(30, 30),flags=0) for (x, y, w, h) in faces: #cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2) # 使用rectangle()可以绘出检测出的人脸区域 crop = img[y:y+h, x:x+w] # 使用切片操作直接提取感兴趣的区域 return crop # openCV里已经训练好的haar人脸检测器 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') path_jaffe='F:\\FERdatabase\\ckplus_64\\anger' #遍历处理文件里所有人脸图像 for file in os.listdir(path_jaffe): jaffe_pic = os.path.join(path_jaffe,file) img = cv2.imread(jaffe_pic) crop = fetch_face_pic(img,face_cascade) #cv2.imshow("Faces found", img) #cv2.imshow('Crop image', crop) #cv2.waitKey(0) #cv2.destroyAllWindows() # 将图像缩放到64*64大小 resized_img=cv2.resize(img,(64,64),interpolation=cv2.INTER_CUBIC) #保存图像 cv2.imwrite(jaffe_pic, resized_img)
在提取人脸的时候,遇到了问题,就是提取的人脸和检测到的人脸不重合,
发现是这里的问题,下面为正确写法:
crop = img[y:y+h, x:x+w]
自己误写为:
crop = img[x:x+w,y:y+h]改正就好啦~