Python的小白需要一些帮助家伙!有人能告诉我如何改写循环使用我的代码?尝试了一些不同的语法,但似乎没有工作!
img = cv2.imread("C://Users//user//Desktop//research//images//Underwater_Caustics//set1//set1_color_0001.png")
tile11=img[1:640, 1:360]
cv2.imwrite('tile11_underwater_caustic_set1_0001.png', tile11)
tile12=img[641:1280, 1:360]
cv2.imwrite('tile12_underwater_caustic_set1_0001.png', tile12)
tile13=img[1281:1920, 1:360]
cv2.imwrite('tile13_underwater_caustic_set1_0001.png', tile13)
tile21=img[1:640, 361:720]
cv2.imwrite('tile21_underwater_caustic_set1_0001.png', tile21)
tile22=img[641:1280, 361:720]
cv2.imwrite('tile22_underwater_caustic_set1_0001.png', tile22)
tile23=img[1281:1920, 361:720]
cv2.imwrite('tile23_underwater_caustic_set1_0001.png', tile23)
tile31=img[1:640, 721:1080]
cv2.imwrite('tile31_underwater_caustic_set1_0001.png', tile31)
tile32=img[641:1280, 721:1080]
cv2.imwrite('tile32_underwater_caustic_set1_0001.png', tile32)
tile33=img[1281:1920, 721:1080]
cv2.imwrite('tile33_underwater_caustic_set1_0001.png', tile33)
正如你所看到的,图像将被切割成9大小相等的块,如何使用循环写呢?
这不会产生相同的结果就像你的代码,但会给你一些想法:
img = cv2.imread('sample.jpg')
numrows, numcols = 4, 4
height = int(img.shape[0] / numrows)
width = int(img.shape[1] / numcols)
for row in range(numrows):
for col in range(numcols):
y0 = row * height
y1 = y0 + height
x0 = col * width
x1 = x0 + width
cv2.imwrite('tile_%d%d.jpg' % (row, col), img[y0:y1, x0:x1])
我需要的地方需要最后部分或边缘瓷片需充分平铺图像的图像拼接。
下面是我使用的代码:
import cv2
import math
import os
Path = "FullImage.tif";
filename, file_extension = os.path.splitext(Path)
image = cv2.imread(Path, 0)
tileSizeX = 256;
tileSizeY = 256;
numTilesX = math.ceil(image.shape[1]/tileSizeX)
numTilesY = math.ceil(image.shape[0]/tileSizeY)
makeLastPartFull = True; # in case you need even siez
for nTileX in range(numTilesX):
for nTileY in range(numTilesY):
startX = nTileX*tileSizeX
endX = startX + tileSizeX
startY = nTileY*tileSizeY
endY = startY + tileSizeY;
if(endY > image.shape[0]):
endY = image.shape[0]
if(endX > image.shape[1]):
endX = image.shape[1]
if( makeLastPartFull == True and (nTileX == numTilesX-1 or nTileY == numTilesY-1) ):
startX = endX - tileSizeX
startY = endY - tileSizeY
currentTile = image[startY:endY, startX:endX]
cv2.imwrite(filename + '_%d_%d' % (nTileY, nTileX) + file_extension, currentTile)
这是使用的flowfree他的代码部分海量影像重建。通过在同一区域的脚本是用切片图像的文件夹,您可以重建图像。我希望这有帮助。
import cv2
import glob
import os
dir = "."
pathname = os.path.join(dir, "*" + ".png")
images = [cv2.imread(img) for img in glob.glob(pathname)]
img = images[0]
numrows, numcols = 1,1
height = int(img.shape[0] / numrows)
width = int(img.shape[1] / numcols)
for row in range(numrows):
for col in range(numcols):
y0 = row * height
y1 = y0 + height
x0 = col * width
x1 = x0 + width
cv2.imwrite('merged_img_%d%d.jpg' % (row, col), img[y0:y1, x0:x1])