如何使用open cv将多个图像保存在一个文件夹中?
How to save multiple images in one folder by using open cv?
这是我要修改的代码。一次读取所有图片并将其保存在一个文件夹中,但是在尝试保存时出现错误
import cv2
import glob
import numpy as np
#empty lists
image_list=[]
images = []
for img in glob.glob(r"C:\Users\user\Documents\Dataset\Test\Abnormal_Resize\Abnormal_Crop\*.png"):
n= cv2.imread(img)
images.append(n)
print (img)
#limit list to 236 elements
image_list = image_list[:100]
#Resizing the image for compatibility
for img in image_list:
image = cv2.resize(image, (500, 600))
#The initial processing of the image
#image = cv2.medianBlur(image, 3)
image_bw = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#The declaration of CLAHE
#clipLimit -> Threshold for contrast limiting
clahe = cv2.createCLAHE(clipLimit = 5)
final_img = clahe.apply(image_bw)
cv2.imwrite(path+r"C:\Users\user\Documents\Dataset\Test\Abnormal_Resize\Abnormal_Crop\Abnormal_Cntrst\contrast_"+str(i)+".png", final_img)
这段代码似乎存在多个问题。
i
未定义。
images
列表附加了所有图像,在处理时您正在使用空列表变量 image_list
您可能正在寻找这样的解决方案。
import cv2
import glob
import numpy as np
input_path = r"<your_input_folder_path>/*.png"
# make sure below folder already exists
out_path = '<your_output_folder_path>/'
image_paths = list(glob.glob(input_path))
for i, img in enumerate(image_paths):
image = cv2.imread(img)
image = cv2.resize(image, (500, 600))
#The initial processing of the image
#image = cv2.medianBlur(image, 3)
image_bw = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#The declaration of CLAHE
#clipLimit -> Threshold for contrast limiting
clahe = cv2.createCLAHE(clipLimit = 5)
final_img = clahe.apply(image_bw)
cv2.imwrite(out_path + f'{str(i)}.png', final_img)
这是我要修改的代码。一次读取所有图片并将其保存在一个文件夹中,但是在尝试保存时出现错误
import cv2
import glob
import numpy as np
#empty lists
image_list=[]
images = []
for img in glob.glob(r"C:\Users\user\Documents\Dataset\Test\Abnormal_Resize\Abnormal_Crop\*.png"):
n= cv2.imread(img)
images.append(n)
print (img)
#limit list to 236 elements
image_list = image_list[:100]
#Resizing the image for compatibility
for img in image_list:
image = cv2.resize(image, (500, 600))
#The initial processing of the image
#image = cv2.medianBlur(image, 3)
image_bw = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#The declaration of CLAHE
#clipLimit -> Threshold for contrast limiting
clahe = cv2.createCLAHE(clipLimit = 5)
final_img = clahe.apply(image_bw)
cv2.imwrite(path+r"C:\Users\user\Documents\Dataset\Test\Abnormal_Resize\Abnormal_Crop\Abnormal_Cntrst\contrast_"+str(i)+".png", final_img)
这段代码似乎存在多个问题。
i
未定义。images
列表附加了所有图像,在处理时您正在使用空列表变量image_list
您可能正在寻找这样的解决方案。
import cv2
import glob
import numpy as np
input_path = r"<your_input_folder_path>/*.png"
# make sure below folder already exists
out_path = '<your_output_folder_path>/'
image_paths = list(glob.glob(input_path))
for i, img in enumerate(image_paths):
image = cv2.imread(img)
image = cv2.resize(image, (500, 600))
#The initial processing of the image
#image = cv2.medianBlur(image, 3)
image_bw = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#The declaration of CLAHE
#clipLimit -> Threshold for contrast limiting
clahe = cv2.createCLAHE(clipLimit = 5)
final_img = clahe.apply(image_bw)
cv2.imwrite(out_path + f'{str(i)}.png', final_img)