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[英]How to save (write) a list of images from a dataset into a new folder - openCV Python?
[英]new in python. I want to apply an algorithm to different images from a folder and save the new ones in another folder. Biology research images
我想在黑白圖像中反轉顏色,然后使用以下代碼更改透明背景:
imgg = Image.open('HSPl4_E5_LP8.png')
data = np.array(imgg)
converted = np.where(data == 255, 0, 255)
imgg = Image.fromarray(converted.astype('uint8'))
imgg.save('new HSPl4_E5_LP8.png')
和
from PIL import Image
img = Image.open('new HSPl4_E5_LP8.png')
img = img.convert("RGBA")
datas = img.getdata()
newData = []
for item in datas:
if item[0] == 255 and item[1] == 255 and item[2] == 255:
newData.append((255, 255, 255, 0))#0 és la alfa de rgba i significa 0 opacity.
else:
newData.append(item)
img.putdata(newData)
img.save("HSPl4_E5_LP8 transparent.png", "PNG")
然后我想在文件夾中的多個圖像中迭代它。 然后我想將更改后的新圖像保存在另一個文件夾中。 但我沒有找到讓它工作的方法。
不確定我是否正確理解您的問題,但我認為您可以執行以下操作。 首先,您將兩個操作捆綁到一個函數中:
from PIL import Image
def imageTransform(imgfile,destfolder):
img = Image.open(imgfile)
data = np.array(img)
converted = np.where(data == 255, 0, 255)
img = Image.fromarray(converted.astype('uint8'))
img = img.convert("RGBA")
datas = img.getdata()
newData = []
for item in datas:
if item[0] == 255 and item[1] == 255 and item[2] == 255:
newData.append((255, 255, 255, 0))
else:
newData.append(item)
img.putdata(newData)
img.save(destfolder+"/"+imgfile, "PNG")
此功能將打開一個圖像,應用您提到的更改,然后將其保存在指定路徑中。 然后,您可以使用以下代碼自動執行此過程:
import os
originalfolder = "folderpath" #place your folder path as string
destfolder = "folderpath" #place your destination path as string
directory = os.fsencode(originalfolder)
for file in os.listdir(directory):
filename = os.fsdecode(file)
imageTransform(file, destfolder)
“原始文件夾”是原始圖像所在的文件夾。 格式應該類似於"C:/Users/yourfolder"
“desfolder”是存儲新圖像的文件夾。 格式應該類似於"C:/Users/yournewfolder"
您可以為此使用 pathlib,假設 apply_algo 是一個函數,它接受輸入圖像的路徑對象並返回轉換后的 PIL.Image 對象,這應該可以工作。
from pathlib import Path
def process_files(source: str, dstn: str):
dstn = Path(dstn)
source = Path(source)
# check if input strings are directories or not.
if not (source.is_dir() and dstn.is_dir()):
raise Exception("Source and Dstn must be directories")
# use rglob if you want to pick files from subdirectories as well
for path in source.glob("*"):
if path.is_file():
output_img = apply_algo(path)
output_img.save(dstn / path.name(), "PNG")
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