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import numpy as np | |
from PIL import Image | |
import os | |
def paddingjpg(path): | |
xmax = 0 | |
ymax = 0 | |
file_list = [] | |
for FileNameLength in range(0, 100): | |
for dirName, subdirList, fileList in os.walk(path): | |
for filename in fileList: | |
# check file extension | |
if ".jpg" in filename.lower() and len(filename) == FileNameLength: | |
file_list.append(filename) | |
break | |
file_list.sort() | |
print(file_list) | |
temp_list = [] | |
for filename in file_list: | |
image = Image.open(path + filename) | |
padded_image = Image.new("RGB", [560, 560]) | |
padded_image.paste(image, (0,0)) | |
padded_image.save(path + 'padded/' + filename) | |
def paddingpng(path): | |
xmax = 0 | |
ymax = 0 | |
file_list = [] | |
for FileNameLength in range(0, 100): | |
for dirName, subdirList, fileList in os.walk(path): | |
for filename in fileList: | |
# check file extension | |
if ".png" in filename.lower() and len(filename) == FileNameLength: | |
file_list.append(filename) | |
break | |
file_list.sort() | |
print(file_list) | |
temp_list = [] | |
for filename in file_list: | |
image = Image.open(path + filename) | |
padded_image = Image.new("L", [560, 560]) | |
padded_image.paste(image, (0,0)) | |
padded_image.save(path + 'padded/' + filename) | |
paddingjpg('../data/train/images/') | |
paddingpng('../data/train/labels/') | |
paddingjpg('../data/test/images/') | |
paddingpng('../data/test/labels/') |