Python AttributeError：“ numpy.ndarray”

Question

嗨，我正在制作一个小脚本，它将使重复的图片裁剪更加容易。 我编写了一个小脚本，该脚本使用鼠标事件从图像中获取x，y坐标，并且试图使用在openCV教程中找到的代码将带有面部的图像裁剪为面部数据库的特定大小。

import sys, math
import Image
import cv2
import numpy as np
import Tkinter
import tkFileDialog
from Tkinter import Tk
from tkFileDialog import askopenfilename

def Distance(p1,p2):
    dx = p2[0] - p1[0]
    dy = p2[1] - p1[1]
    return math.sqrt(dx*dx+dy*dy)

def ScaleRotateTranslate(image, angle, center = None, new_center = None, scale = None, resample=Image.BICUBIC):
    if (scale is None) and (center is None):
        return image.rotate(angle=angle, resample=resample)
    nx,ny = x,y = center
    sx=sy=1.0
    if new_center:
        (nx,ny) = new_center
    if scale:
        (sx,sy) = (scale, scale)
    cosine = math.cos(angle)
    sine = math.sin(angle)
    a = cosine/sx
    b = sine/sx
    c = x-nx*a-ny*b
    d = -sine/sy
    e = cosine/sy
    f = y-nx*d-ny*e
    return image.transform(image.size, Image.AFFINE, (a,b,c,d,e,f), resample=resample)

def CropFace(image, eye_left=(0,0), eye_right=(0,0), offset_pct=(0.2,0.2), dest_sz = (70,70)):
     # calculate offsets in original image
     offset_h = math.floor(float(offset_pct[0])*dest_sz[0])
     offset_v = math.floor(float(offset_pct[1])*dest_sz[1])
     # get the direction
     eye_direction = (eye_right[0] - eye_left[0], eye_right[1] - eye_left[1])
     # calc rotation angle in radians
     rotation = -math.atan2(float(eye_direction[1]),float(eye_direction[0]))
     # distance between them
     dist = Distance(eye_left, eye_right)
     # calculate the reference eye-width
     reference = dest_sz[0] - 2.0*offset_h
     # scale factor
     scale = float(dist)/float(reference)
     # rotate original around the left eye
     image = ScaleRotateTranslate(image, center=eye_left, angle=rotation)
     # crop the rotated image
     crop_xy = (eye_left[0] - scale*offset_h, eye_left[1] - scale*offset_v)
     crop_size = (dest_sz[0]*scale, dest_sz[1]*scale)
     image = image.crop((int(crop_xy[0]), int(crop_xy[1]), int(crop_xy[0]+crop_size[0]), int(crop_xy[1]+crop_size[1])))
     # resize it
     image = image.resize(dest_sz, Image.ANTIALIAS)
     return image

    # mouse callback function
def getCoord(event,x,y,flags,param):
    global click
    global xs
    global ys
    global xs1
    global ys1
    if event == cv2.EVENT_LBUTTONDOWN:
        print str(x) + " " + str(y)
        with open("coords.txt", "a") as myfile:
            if click == 0:
                xs = x
                ys = y
                #myfile.write(str(x) + " " + str(y) + " ")
            if click == 1:
                xs1 = x
                ys1 = y
                #myfile.write(str(x) + " " + str(y) + "\n")
                print "Press 'Esc' to go to next picture or to exit"    
            click += 1

if __name__ == "__main__":
    global click
    global xs
    global ys
    global xs1
    global ys1
    print "\n"
    print "\n"
    click = 0
    fileList = []
    root = Tkinter.Tk()
    filez = tkFileDialog.askopenfilenames(parent=root,title='Choose a file/files')
    fileList = root.tk.splitlist(filez)
    print root.tk.splitlist(filez)
    lenght = len(fileList)
    print str(lenght)

    for num in range(0,lenght):
        if click == 0:
            print "test"
            image = cv2.imread(str(fileList[num]), cv2.IMREAD_COLOR)
            cv2.namedWindow("Find and Cropp")
            cv2.setMouseCallback("Find and Cropp", getCoord)
            cv2.imshow("Find and Cropp", image)
            if cv2.waitKey(0) & 0xFF == 27:
                    cv2.destroyWindow("Find and Cropp")
            if click > 0:
                elx = int(xs)
                #print xs
                ely = int(ys)
                #print ys
                erx = int(xs1)
                #print xs1
                ery = int(ys1)
                #print ys1
                if click == 2:  
                    #CropFace(image, eye_left=(115,115), eye_right=(168,120), offset_pct=(0.1,0.1), dest_sz=(200,200)).save("01a.jpg")
                    CropFace(image, eye_left=(elx,ely), eye_right=(erx,ery), offset_pct=(0.2,0.2), dest_sz=(200,200)).save("data/" + str(num+1) + ".jpg")
                    CropFace(image, eye_left=(elx,ely), eye_right=(erx,ery), offset_pct=(0.3,0.3), dest_sz=(200,200)).save("data/" + str(num+1) + "a.jpg")
                    #CropFace(image, eye_left=(115,115), eye_right=(168,120), offset_pct=(0.2,0.2)).save("01d.jpg")
                    print "********************" + str(num+1) + ".jpg - saved"
                    click = 0
                    cv2.destroyWindow("Find and Cropp")

我得到的错误是AttributeError: 'numpy.ndarray' object has no atribute 'transform'

错误从以下行开始：

CropFace(image, eye_left=(elx,ely), eye_right=(erx,ery), offset_pct=(0.2,0.2), dest_sz=(200,200)).save("data/" + str(num+1) + ".jpg")

和finishesh在线：

return image.transform(image.size, Image.AFFINE, (a,b,c,d,e,f), resample=resample)

但是，当我运行仅用于裁剪脸部的代码（坐标是使用第一个脚本较早获得并保存到文本文件中）时，一切运行正常。

Answer 1

OpenCV和PIL处理图像之间有区别。 OpenCV将图像作为NumPy数组处理，但PIL将其存储为PIL.Image对象。

NumPy数组对象不具有转换功能，而PIL Image对象具有。

如果您不想自己实现裁剪面功能，请首先将NumPy数组更改为PIL图像，然后将PIL图像更改为NumPy数组。

更改

CropFace(image, eye_left=(elx,ely), eye_right=(erx,ery), offset_pct=(0.3,0.3), dest_sz=(200,200)).save("data/" + str(num+1) + "a.jpg")

成

CropFace(Image.fromarray(np.uint8(image)), eye_left=(elx,ely), eye_right=(erx,ery), offset_pct=(0.3,0.3), dest_sz=(200,200)).save("data/" + str(num+1) + "a.jpg")