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folders = [40, 42, 43, 45, 46, 47, 50, 51, 52, 53]
for i in range(len(folders)):
path = 'D:\\curetcol\\sample%s' % (folders[i])
dstpath = 'D:\\curetcol\\Full\\train%s' % (folders[i])
try:
os.makedirs(dstpath)
except:
print ("Directory already exist, images will be written in asme folder")
files = os.listdir(path)
for image in files:
img = cv2.imread(os.path.join(path, image))
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
dstPath = join(dstpath, image)
cv2.imwrite(dstPath, gray)
def resize_image(src_image, size=(128, 128), bg_color="white"):
# resize the image so the longest dimension matches our target size
src_image.thumbnail(size, Image.LANCZOS)
# Create a new square background image
new_image = Image.new('L', size)
# Paste the resized image into the center of the square background
new_image.paste(src_image, (int((size[0] - src_image.size[0]) / 2), int((size[1] - src_image.size[1]) / 2)))
# return the resized image
return new_image
training_folder_name = 'D:\\fixedSplit\\Train'
classes = sorted(os.listdir(training_folder_name))
# New location for the resized images
train_folder = 'D:\\curetcol\\Full\\TrainResized'
if os.path.exists(train_folder):
shutil.rmtree(train_folder)
for root, folders, files in os.walk(training_folder_name):
for sub_folder in folders:
print('processing folder ' + sub_folder)
# Create a matching subfolder in the output dir
saveFolder = os.path.join(train_folder,sub_folder)
if not os.path.exists(saveFolder):
os.makedirs(saveFolder)
# Loop through the files in the subfolder
file_names = os.listdir(os.path.join(root,sub_folder))
for file_name in file_names:
# Open the file
file_path = os.path.join(root,sub_folder, file_name)
#print("reading " + file_path)
image = Image.open(file_path)
# Create a resized version and save it
resized_image = resize_image(image, size)
saveAs = os.path.join(saveFolder, file_name)
#print("writing " + saveAs)
resized_image.save(saveAs)
print('Done.')Editor is loading...
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