Rect Module Python

Question

我最近在python中下载了一些代码，这些代码试图扫描收据（或准备扫描）。我试图运行代码，但似乎有问题。Python无法识别模块" rect"。我尝试下载该模块，但是没有这样的模块。我卡住了，想知道该怎么办。

注意：只有一行代码使用模块

代码：

import cv2
import numpy as np
import rect
# add image here.
image = cv2.imread('test_pic.jpg')
# resize image
# choose optimal dimensions
image = cv2.resize(image, (1500, 880))
# create copy of original image
orig = image.copy()
# convert to grayscale and blur to smooth
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# gaussian blur to smoothen texture
blurred = cv2.GaussianBlur(gray, (5, 5), 0)
#blurred = cv2.medianBlur(gray, 5)
# apply Canny Edge Detection
edged = cv2.Canny(blurred, 0, 50)
orig_edged = edged.copy()
# find the contours in the edged image
# keep only the largest ones, and
# initialize screen contour
(contours, _) = cv2.findContours(edged, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)
contours = sorted(contours, key=cv2.contourArea, reverse=True)
#x,y,w,h = cv2.boundingRect(contours[0])
#cv2.rectangle(image,(x,y),(x+w,y+h),(0,0,255),0)
# get approximate contour
for c in contours:
    p = cv2.arcLength(c, True)
    approx = cv2.approxPolyDP(c, 0.02 * p, True)
    if len(approx) == 4:
        target = approx
        break

# map target points to 800x800 quadrilateral
approx = rect.rectify(target)
pts2 = np.float32([[0,0],[800,0],[800,800],[0,800]])
M = cv2.getPerspectiveTransform(approx,pts2)
dst = cv2.warpPerspective(orig,M,(800,800))
cv2.drawContours(image, [target], -1, (0, 255, 0), 2)
dst = cv2.cvtColor(dst, cv2.COLOR_BGR2GRAY)

# use thresholding on warped image to get scanned effect (If Required)
ret,th1 = cv2.threshold(dst,127,255,cv2.THRESH_BINARY)
th2 = cv2.adaptiveThreshold(dst,255,cv2.ADAPTIVE_THRESH_MEAN_C,
            cv2.THRESH_BINARY,11,2)
th3 = cv2.adaptiveThreshold(dst,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
            cv2.THRESH_BINARY,11,2)
ret2,th4 = cv2.threshold(dst,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
# show results
cv2.imshow("Original.jpg", orig)
cv2.imshow("Original Gray.jpg", gray)
cv2.imshow("Original Blurred.jpg", blurred)
cv2.imshow("Original Edged.jpg", orig_edged)
cv2.imshow("Outline.jpg", image)
cv2.imshow("Thresh Binary.jpg", th1)
cv2.imshow("Thresh mean.jpg", th2)
cv2.imshow("Thresh gauss.jpg", th3)
cv2.imshow("Otsu's.jpg", th4)
cv2.imshow("dst.jpg", dst)
# other thresholding methods
"""
ret,thresh1 = cv2.threshold(dst,127,255,cv2.THRESH_BINARY)
ret,thresh2 = cv2.threshold(dst,127,255,cv2.THRESH_BINARY_INV)
ret,thresh3 = cv2.threshold(dst,127,255,cv2.THRESH_TRUNC)
ret,thresh4 = cv2.threshold(dst,127,255,cv2.THRESH_TOZERO)
ret,thresh5 = cv2.threshold(dst,127,255,cv2.THRESH_TOZERO_INV)
cv2.imshow("Thresh Binary", thresh1)
cv2.imshow("Thresh Binary_INV", thresh2)
cv2.imshow("Thresh Trunch", thresh3)
cv2.imshow("Thresh TOZERO", thresh4)
cv2.imshow("Thresh TOZERO_INV", thresh5)
"""
cv2.waitKey(0)
cv2.destroyAllWindows()

Answer 1

在您大概从中获取代码的github存储库中，还有另一个称为 rect.py的文件，带有单个函数 rectify()，该文件在主程序中使用。在Python中，如果创建其他.py模块，则可以将它们导入代码中以更好地封装某些功能，尽管在此代码中似乎确实不需要将rectify()函数完全放在其他文件中。同样基本但更常见的是带有所有功能的.py文件，然后是使用这些功能的主.py文件。

编辑：可以清楚地看，rect模块在存储库本身中。一个建议，通常克隆整个回购