def resize(im, crop, limit):
"""
Resize image to limit if limit > 0
if crop_square, and height and width are within 9 % crop to smaller dimension
"""
width = im.width
height = im.height
if width == height:
size = width
if 0 < limit < width:
size = limit
im = resizeimage.resize_width(im, size)
elif width > height:
size = height
if 0 < limit < height:
size = limit
if crop and (width - height) / width < 0.09:
im = resizeimage.resize_crop(im, [size, size])
else:
im = resizeimage.resize_width(im, size)
elif height > width:
size = width
if limit and width > limit:
size = limit
if crop and (height - width) / height < 0.09:
im = resizeimage.resize_crop(im, [size, size])
else:
im = resizeimage.resize_height(im, size)
return im
def resize(self, width, height, name='', type='width'):
output = os.path.join(self.cdir, self.name + '-' + str(width) + 'x' + str(height) + '-' + name + self.ext)
with open(self.src, 'r+b') as f:
with Image.open(f) as image:
if type == 'contain':
try:
result = resizeimage.resize_cover(image, [width, height])
except:
tmp = resizeimage.resize_contain(image, [width, height])
result = resizeimage.resize_cover(tmp, [width, height])
elif type == 'height':
result = resizeimage.resize_height(image, height, validate=False)
elif type == 'crop':
tmp = resizeimage.resize_contain(image, [width + 150, height + 150])
result = resizeimage.resize_crop(tmp, [width, height])
elif type == 'tcrop':
tmp = resizeimage.resize_contain(image, [width, height])
result = resizeimage.resize_crop(tmp, [width, height])
elif type == 'thumbnail':
result = resizeimage.resize_thumbnail(image, [width, height])
else:
result = resizeimage.resize_width(image, width, validate=False)
result.save(output, optimize=True)
return [output, '[{}x{}] {}'.format(width, height, name), self.name + '-' + str(width) + 'x' + str(height) + '-' + name + self.ext, name]
def test_can_not_resize_crop_larger_size(self):
"""
Test that resizing an image with resize_crop
to a size larger than the original raises an error
"""
with self._open_test_image() as img:
with self.assertRaises(ImageSizeError):
resizeimage.resize_crop(img, (801, 534))
def test_can_not_resize_crop_larger_size(self):
"""
Test that resizing an image with resize_crop
to a size larger than the original raises an error
"""
with self._open_test_image() as img:
with self.assertRaises(ImageSizeError):
resizeimage.resize_crop(img, (801, 534))
def resize(imageName, height = 100, width = 200):
fd_img = open(imageName, 'r')
img = Image.open(fd_img)
img = resizeimage.resize_crop(img, [height, width])
newName = imageName + '_' + str(height) + '_' + str(width) + '.jpg'
img.save(newName, img.format)
fd_img.close()
def get_gray_img(frame, data, is_square, img_width, img_height):
x, y, w, h = data
img = Image.fromarray(frame[y:y+h, x:x+w])
if is_square:
return resizeimage.resize_cover(img, [img_width, img_height])
else:
width_scaled_img = resizeimage.resize_width(img, img_width)
return resizeimage.resize_crop(width_scaled_img, [img_width, img_height])
def resizing(image_size):
resized_images = []
for img in picsDir:
image = Image.open(rootDir + img)
image = resizeimage.resize_crop(image, image_size)
# image.thumbnail(image_size)
resized_images.append(image)
return resized_images
def crop_profile_picture(input_file, output_file):
with open(input_file, "rb") as fd_img:
img = Image.open(fd_img)
img = resizeimage.resize_height(img, 200)
img = resizeimage.resize_crop(img, [112, 200])
img.save(output_file, img.format)
fd_img.close()
return True
def save_cover_image(img, article_slug):
img_name = f"{article_slug}-cover-image.jpg"
new_height = int(img.height * (max_width / img.width))
img = img.resize((max_width, new_height))
img = resizeimage.resize_crop(img, [1920, 900])
img.save(f"{static_file_path}{cover_image_path}{img_name}",
optimize=True,
quality=65)
return f"{cover_image_path}{img_name}"
def resize():
for item in dirs:
if os.path.isfile(path + item):
im = Image.open(path + item)
f, e = os.path.splitext(path + item)
im = resizeimage.resize_crop(im, [700, 700])
imResize = im.resize((127, 127), Image.ANTIALIAS)
imResize.save(f + ' reshaped.png', 'png', quality=90)
im = plt.imread(f + ' reshaped.png')
print(im.shape)
def test_resize_crop(self):
"""
Test that the image resized with resize_crop
has the expected size
"""
with self._open_test_image() as img:
img = resizeimage.resize_crop(img, [200, 200])
filename = self._tmp_filename('crop.jpeg')
img.save(filename, img.format)
with Image.open(filename) as image:
self.assertEqual(image.size, (200, 200))
def test_resize_crop(self):
"""
Test that the image resized with resize_crop
has the expected size
"""
with self._open_test_image() as img:
img = resizeimage.resize_crop(img, [200, 200])
filename = self._tmp_filename('crop.jpeg')
img.save(filename, img.format)
with Image.open(filename) as image:
self.assertEqual(image.size, (200, 200))
def resize(self, width, height, name='', type='width'):
output = os.path.join(
self.cdir, self.name + '-' + str(width) + 'x' + str(height) + '-' +
name + self.ext)
with open(self.src, 'r+b') as f:
with Image.open(f) as image:
if type == 'contain':
try:
result = resizeimage.resize_cover(
image, [width, height])
except:
tmp = resizeimage.resize_contain(
image, [width, height])
result = resizeimage.resize_cover(tmp, [width, height])
elif type == 'height':
result = resizeimage.resize_height(image,
height,
validate=False)
elif type == 'crop':
tmp = resizeimage.resize_contain(
image, [width + 150, height + 150])
result = resizeimage.resize_crop(tmp, [width, height])
elif type == 'tcrop':
tmp = resizeimage.resize_contain(image, [width, height])
result = resizeimage.resize_crop(tmp, [width, height])
elif type == 'thumbnail':
result = resizeimage.resize_thumbnail(
image, [width, height])
else:
result = resizeimage.resize_width(image,
width,
validate=False)
result.save(output, optimize=True)
return [
output, '[{}x{}] {}'.format(width, height, name),
self.name + '-' + str(width) + 'x' + str(height) + '-' +
name + self.ext, name
]
def resize(infolder, outfolder, imagefile, size):
"""
infolder: folder that input image lives
outfolder: folder that output image will live
imagefile: image filename, like img.png
size: list: [150,150]
"""
fd_img = open(os.path.join(infolder,imagefile),'r')
img = Image.open(fd_img)
img = resizeimage.resize_crop(img, size)
img.save(os.path.join(outfolder,imagefile), img.format)
fd_img.close()
def resize(infolder, outfolder, imagefile, size):
"""
infolder: folder that input image lives
outfolder: folder that output image will live
imagefile: image filename, like img.png
size: list: [150,150]
"""
fd_img = open(os.path.join(infolder, imagefile), 'r')
img = Image.open(fd_img)
img = resizeimage.resize_crop(img, size)
img.save(os.path.join(outfolder, imagefile), img.format)
fd_img.close()
def add_background_on_image(pil_image, background_pil):
"""
Add background on image
:param pil_image: PIL Image
:param background_pil: background to add PIL Image
:return: PIL Image
"""
background_pil = _resize_to_max(pil_image.size, background_pil)
background_pil = resize_crop(background_pil, pil_image.size)
background_pil.paste(pil_image, (0, 0), pil_image)
return background_pil
def resize_file(csv_file, source_dir, target_dir, target_size, ratio):
df = pd.read_csv(csv_file)
for index, row in df.iterrows():
file_name = row['FileName']
file_path = os.path.join(target_dir, file_name)
source_path = os.path.join(source_dir, file_name)
with open(source_path, 'r+b') as f:
with Image.open(f) as image:
width = int(image.width * ratio)
image = resizeimage.resize_crop(image, [width, width])
cover = resizeimage.resize_width(image, target_size)
cover.save(file_path, image.format)
def zoomin_image(im, ratio):
if len(im.shape) == 3:
height, width, nChannels = im.shape[:3]
else:
height, width = im.shape[:2]
nChannels = 1
height_zoom = int(ratio * height)
width_zoom = int(ratio * width)
# Note that im is by default a numpy.ndarray, need to be converted to PIL.Image format
im = Image.fromarray(im)
im_zoom = im.resize((width_zoom, height_zoom))
im_zoom = resizeimage.resize_crop(im_zoom, [width, height, nChannels])
return np.array(im_zoom)
def edit_crop():
s = request.args.get('s')
d = s.split('*')
filename = request.args.get('filename')
filename_crop = current_app.config['ROOT_DIR'] + filename[0:filename.rfind(".")] + '_crop' + \
filename[filename.rfind("."):]
filename = current_app.config['ROOT_DIR'] + filename
print(filename)
print(filename_crop)
if request.method == 'GET' and s != '':
with open(filename, 'r+b') as f:
with Image.open(f) as img:
img = resizeimage.resize_crop(img, [int(d[0]), int(d[1])])
img.save(filename_crop, img.format)
return redirect(('gallery/user'))
def resize():
'''
Resize images found in the "large" images directory.
medium: 1200px wide
small: 300px wide
'''
images_directory = os.path.join('static', 'images')
# First clear out any resizing work we may have done.
clear_resized_images(images_directory)
try:
for entry in os.scandir(images_directory):
orig_images = os.path.join(images_directory, entry.name, 'large')
for orig_image in os.scandir(orig_images):
with open(os.path.join(orig_images, orig_image.name),
'r+b') as f:
with Image.open(f) as large_image:
med_image = resizeimage.resize_width(large_image, 1200)
med_image.save(
os.path.join(images_directory, entry.name,
'medium', orig_image.name))
# small ones need to be a uniform 300px by 199px (WxH) so portrait ones will be center cropped
if large_image.height > large_image.width:
small_image = resizeimage.resize_width(
large_image, 300)
small_image = resizeimage.resize_crop(
small_image, [300, 199])
else:
small_image = resizeimage.resize_width(
large_image, 300)
small_image.save(
os.path.join(images_directory, entry.name, 'small',
orig_image.name))
except OSError as ex:
raise Exception(
"Error encountered while trying to resize images. {0}".format(ex))
return
def create_textures():
image_dir = '{0}'.format(IMAGE_DIRECTORY)
style_dir = '{0}'.format(STYLE_DIRECTORY)
images = sorted(
[image for image in os.listdir(image_dir) if image not in BLACKLIST])
styles = sorted(
[style for style in os.listdir(style_dir) if style not in BLACKLIST])
#print('Creating Background %s' % images[i])
content_layer_ids = [4]
style_layer_ids = list(range(13))
for i in tqdm(range(len(images))):
vgg16.maybe_download()
#print (images[i], labels[i], backgrounds[i])
style_current = random.choice(styles)
print("current style " + style_current)
content_image = Image.open('{0}/{1}'.format(IMAGE_DIRECTORY,
images[i]))
style_image = Image.open('{0}/{1}'.format(STYLE_DIRECTORY,
style_current))
style_image = resizeimage.resize_crop(style_image, [WIDTH, HEIGHT])
iterations = random.randint(15, 25)
print("ok")
#print (list(im_bk.getdata()))
content_image = np.float32(content_image)
style_image = np.float32(style_image)
#%%time
img = style_transfer(
content_image=content_image,
style_image=style_image,
content_layer_ids=content_layer_ids,
style_layer_ids=style_layer_ids,
weight_content=1.5,
weight_style=10.0,
weight_denoise=0.3,
num_iterations=iterations, #60
step_size=10.0)
print("image created")
save_image(img, 'results/' + images[i] + ".png")
def resize_image(self):
name, extension = os.path.splitext(self.file.name)
extension = extension.lower()
pil_image_obj = Image.open(self.file)
new_image = resizeimage.resize_width(pil_image_obj, self.banner.width)
new_image = resizeimage.resize_crop(
new_image, [self.banner.width, self.banner.height])
if extension in ['.jpeg', '.jpg']:
format_type = 'JPEG'
elif extension == '.png':
format_type = 'PNG'
new_image_io = BytesIO()
new_image.save(new_image_io, format=format_type)
temp_name = self.file.name
self.file.delete(save=False)
self.file.save(temp_name,
content=ContentFile(new_image_io.getvalue()),
save=False)
def chiffrementImage(image_claire, key):
(largeur, hauteur) = image_claire.size # get size image
while largeur % 3 != 0: # ajouter des pixels si la taille en longeur ne corespond pas a la cle de chiffrement
image_claire = resizeimage.resize_crop(image_claire,
(largeur + 1, hauteur))
image_claire = image_claire.convert("RGB")
largeur = largeur + 1
# get image array
imageArray = np.asarray(image_claire)
imageArray.setflags(write=True)
# get color array
rouge = np.asarray(imageArray[:, :, 0])
vert = np.asarray(imageArray[:, :, 1])
bleu = np.asarray(imageArray[:, :, 2])
# parcourir pour crypté
for x in range(hauteur):
for y in range(0, largeur, 3):
# part 1 rouge
P1rouge, P2rouge, P3rouge = getP(key, rouge, x, y)
# part 2 vert
P1vert, P2vert, P3vert = getP(key, vert, x, y)
# part 3 bleu
P1bleu, P2bleu, P3bleu = getP(key, bleu, x, y)
# part save changement
imageArray[x, y] = (P1rouge, P1vert, P1bleu)
imageArray[x, y + 1] = (P2rouge, P2vert, P2bleu)
imageArray[x, y + 2] = (P3rouge, P3vert, P3bleu)
# get image crypte
image_crypte = img.fromarray(imageArray)
image_crypte = image_crypte.convert("RGB")
return image_crypte
import pandas as pd
import numpy as np
import cv2
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
import os
from PIL import Image
from resizeimage import resizeimage
train_image_list_parasitized = os.listdir('./train/Parasitized/')
# print(train_image_list_parasitized)
for image in train_image_list_parasitized:
full_path = './train/Parasitized/' + image
print(full_path)
save_path = './train/Parasitized/done/' + image
if ('.png' in full_path):
# img = cv2.imread(full_path)
# with open(full_path, 'r+b') as f:
# with Image.open(f) as img:
# cover = resizeimage.resize_cover(img, [100, 100])
# cover.save(full_path, img.format)
# resized_img = cv2.resize(img, (100, 100), interpolation=(cv2.INTER_AREA))
fd_img = open(full_path, 'r')
img = Image.open(fd_img)
img = resizeimage.resize_crop(img, [120, 120])
img.save(save_path, img.format)
fd_img.close()
#if os.path.isdir(SAVE_DIR):
# shutil.rmtree(SAVE_DIR)
#os.mkdir(SAVE_DIR)
files = glob.glob(SRC_DIR + str(dirid+1) + "/*.png")
fileid = 1
for file in files:
with open(file, 'r+b') as f:
with Image.open(f) as img:
w, h = img.size
if w==IMAGE_SIZE and h==IMAGE_SIZE:
pass
else:
if w < h:
img = resizeimage.resize_width(img, IMAGE_SIZE)
else:
img = resizeimage.resize_height(img, IMAGE_SIZE)
img = resizeimage.resize_crop(img, [IMAGE_SIZE, IMAGE_SIZE])
if fileid > 80:
img.save(TEST_DIR + '/' +str(dirid) + '_' + str(fileid) + '.png', img.format)
else:
img.save(TRAIN_DIR + '/' +str(dirid) + '_' + str(fileid) + '.png', img.format)
fileid = fileid + 1
# replace eg.json with your own file name
with open('eg.json', encoding='utf-8') as file:
data = file.read()
json_data = json.loads(data)
bot = Bot()
bot.login(username=config.USERNAME,
password=config.PASSWORD)
for j_data in json_data.items():
caption = j_data[1]['caption']
for image_path in (j_data[1]['images']):
print("Caption:", caption)
print(image_path)
response = requests.get(image_path)
file = open("1.jpg", "wb")
file.write(response.content)
file.close()
fd_img = open('1.jpg', 'rb')
img = Image.open(fd_img)
img = resizeimage.resize_crop(img, [1080, 1080])
img.save('1.jpg', img.format)
fd_img.close()
bot.upload_photo('1.jpg', caption=caption)
os.remove("1.jpg.REMOVE_ME")
print()
if is_valid:
with Image.open('/home/antz/0Python/image/File.jpg') as image:
resizeimage.resize_cover.validate(image, [200, 100], validate=False)
cover = resizeimage.resize_cover(image, [200, 100])
cover.save('test-image-cover1.jpeg', image.format)
##########################################################
# Crop an image with a 200x200 cented square:
##########################################################
from PIL import Image
from resizeimage import resizeimage
fd_img = open('/home/antz/0Python/image/File.jpg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_crop(img, [200, 200])
img.save('test-image-crop2.jpeg', img.format)
fd_img.close()
##########################################################
# Resize and crop (from center) the image so that it covers
# a 200x100 rectangle
##########################################################
from PIL import Image
from resizeimage import resizeimage
fd_img = open('/home/antz/0Python/image/File.jpg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_cover(img, [200, 100])
img.save('test-image-cover3.jpeg', img.format)
fd_img.close()
def rand_crop_real(img):
ratio = (random.randint(6, 9) / 10)
w, h = int(img.width * ratio), int(img.height * ratio)
img = resizeimage.resize_crop(img, [w, h])
return (img)
from PIL import Image
from resizeimage import resizeimage
import matplotlib.pyplot as plt
image_path = 'deconvnet/images/tesla_fat_3ch.png'
img_pil_read = Image.open(image_path) # original image
img_pil_resized = img_pil_read.resize((224, 224), Image.ANTIALIAS)
img_crop_resized = resizeimage.resize_crop(img_pil_read, [224, 224])
img_cover_resized = resizeimage.resize_cover(img_pil_read, [224, 224])
img_contain_resized = resizeimage.resize_contain(img_pil_read, [224, 224])
img_thumbnail_resized = resizeimage.resize_thumbnail(img_pil_read, [224, 224])
# image show
fig = plt.figure()
ax1 = fig.add_subplot(231)
plt.imshow(img_pil_read)
plt.title('origin')
ax2 = fig.add_subplot(232)
plt.imshow(img_pil_resized)
plt.title('PIL resize')
ax3 = fig.add_subplot(233)
plt.imshow(img_crop_resized)
plt.title('crop')
ax4 = fig.add_subplot(234)
plt.imshow(img_cover_resized)
plt.title('cover')
ax5 = fig.add_subplot(235)
plt.imshow(img_contain_resized)
plt.title('contain')
def save_image_with_resize(path: str, im: Image):
make_path(path)
im.thumbnail([IMSIZE, IMSIZE], Image.ANTIALIAS)
im = resizeimage.resize_crop(im, [IMSIZE, IMSIZE])
#print(f"Scaving scaled image at: {path}")
im.save(path, im.format)
# This script accepts two command line arguments which are the filenames of the images to blended together.
# If the images are not of the same size, the larger image will be cropped to fit into the smaller image
# sample way to usage :
# python image_blend.py 1.png, 2.png
from PIL import Image
from resizeimage import resizeimage
import sys
arguments = sys.argv
arguments.pop(0)
first_image, second_image = arguments
background = Image.open(first_image)
overlay = Image.open(second_image)
background = background.convert("RGBA")
overlay = overlay.convert("RGBA")
if background.size != overlay.size:
new_size = min(background.size, overlay.size)
if new_size == overlay.size:
background = resizeimage.resize_crop(background, list(new_size))
else:
overlay = resizeimage.resize_crop(overlay, list(new_size))
new_img = Image.blend(background, overlay, 0.5)
new_img.save("blended.png", background.format)
def make_image_square(image_file_name):
image = Image.open(image_file_name)
x, y = image.size
size = min(x, y, 1080)
image = resizeimage.resize_crop(image, [size, size])
image.save(image_file_name, image.format)
password=config.PASSWORD)
for j_data in json_data:
caption = j_data['caption']
for image_path in (j_data['images']):
print("Caption:", caption)
print(image_path)
response = requests.get(image_path)
filename = str(random.randint(0,10000)) + '.jpg'
file = open(filename, "wb")
file.write(response.content)
file.close()
fd_img = open(filename, 'rb')
img = Image.open(fd_img)
width, height = img.size
# If image width is greater than 1080, just upload it
if(width > 1080):
img = resizeimage.resize_crop(img, [width, width])
img.save(filename, img.format)
fd_img.close()
#If image width is not equal to height crop image to match width x width(as height)
if(width != height):
size = width, width
img = resizeimage.resize_crop(img, size)
img.save(filename, img.format)
fd_img.close()
bot.upload_photo(filename, caption=caption)
os.remove(filename+".REMOVE_ME")
print()
def get_image(self, rpc_request):
try:
url = rpc_request.try_get_value_from_params('url', str)
access_token = rpc_request.try_get_value_from_params(
'access_token', str)
network_type = rpc_request.try_get_value_from_params(
'network_type', str)
except Exception as ex:
return HttpResponse(ex, status=502)
try:
height = rpc_request.try_get_value_from_params('height', int)
width = rpc_request.try_get_value_from_params('width', int)
except:
height = None
width = None
try:
self.check_auth_service.check_auth(access_token=access_token)
except RPCException as ex:
return HttpResponse(ex, status=401)
if network_type == NetworkTypes.YAMMER.value:
file_downloader = urllib3.PoolManager()
download_response = file_downloader.request(
'GET',
url=url,
headers={
"Authorization":
"Bearer %s" % self.yammer_service.get_access_token(),
})
if download_response.status == 200:
file_data = download_response.data
if height != None and width != None:
try:
image = Image.open(io.BytesIO(file_data))
except:
image = None
if image != None:
image = resizeimage.resize_crop(image, [width, height])
image_byttes = io.BytesIO()
image.save(image_byttes, format='JPEG')
file_data = image_byttes.getvalue()
response = HttpResponse(file_data,
content_type='application/file')
response['Content-Disposition'] = 'attachment; filename=attach'
return response
else:
return HttpResponse('Не удалось загрузить изображение',
status=502)
else:
return HttpResponse('Тип соц сети не поддерживается', status=502)