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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/') |