def transform_upload(destination0, destination1, destination2, destination3,
destination4, filename1, filename2, filename3, filename4,
s3):
img = Image(filename=destination0)
transformed1 = img.clone()
transformed2 = img.clone()
transformed3 = img.clone()
transformed4 = img.clone()
transformed1.resize(1280, 720)
transformed2.rotate(180)
library.MagickSepiaToneImage.argtypes = [ctypes.c_void_p, ctypes.c_double]
library.MagickSepiaToneImage.restype = None
threshold = transformed3.quantum_range * 0.8
library.MagickSepiaToneImage(transformed3.wand, threshold)
transformed4.type = 'grayscale'
transformed1.save(filename=destination1)
s3.upload_file(destination1, 'ece1779-bucket-1', filename1)
os.remove(destination1)
transformed2.save(filename=destination2)
s3.upload_file(destination2, 'ece1779-bucket-1', filename2)
os.remove(destination2)
transformed3.save(filename=destination3)
s3.upload_file(destination3, 'ece1779-bucket-1', filename3)
os.remove(destination3)
transformed4.save(filename=destination4)
s3.upload_file(destination4, 'ece1779-bucket-1', filename4)
os.remove(destination4)
def image_transform(id,FileName):
UserId = id
bucket_name = s3_config
file_name = os.path.join('app/static',FileName)
img = Image(filename = file_name)
transform_1 =img.clone()
transform_1.rotate(90)
transform_name_1 = os.path.join('app/static', 'FirstTransform_' + FileName)
transform_1.save(filename = transform_name_1)
s3_upload = boto3.client('s3')
s3_upload.upload_file(transform_name_1, bucket_name, str(UserId) + '/FirstTransform_' + FileName)
transform_2 =img.clone()
transform_2.rotate(180)
transform_name_2 = os.path.join('app/static','SecondTransform_' + FileName)
transform_2.save(filename = transform_name_2)
s3_upload.upload_file(transform_name_2, bucket_name, str(UserId) + '/SecondTransform_' + FileName)
transform_3 =img.clone()
transform_3.rotate(300)
transform_name_3 = os.path.join('app/static','ThirdTransform_' + FileName)
transform_3.save(filename = transform_name_3)
s3_upload.upload_file(transform_name_3, bucket_name, str(UserId) + '/ThirdTransform_' + FileName)
return render_template("Image/view.html", f1 = file_name[4:],
f2 = transform_name_1[4:],
f3 = transform_name_2[4:],
f4 = transform_name_3[4:])
def validate_avatar(self, field):
if not field.data:
return
file = field.data
image = Image(file=file)
xsize = image.width
ysize = image.height
extension = field.data.filename.split(".")[-1]
if xsize > 200 or ysize > 200:
resize_measure = min(200.0 / float(xsize), 200.0 / float(ysize))
self.avatar_image = image.clone()
self.avatar_image.resize(int(round(xsize * resize_measure)),
int(round(ysize * resize_measure)))
else:
self.avatar_image = image
resized_avatar = self.avatar_image.clone()
resized_avatar_bin = self.avatar_image.make_blob()
avvie_size = len(resized_avatar_bin)
if avvie_size > 512 * 1024:
raise validators.ValidationError(
"Your avatar filesize (even after being resized) is too large. Resize to less than 512kb."
)
crop_off_bottom = False
crop_off_right = False
if ysize > xsize:
crop_off_bottom = True
pixels_to_crop = ysize - xsize
elif xsize > ysize:
crop_off_right = True
pixels_to_crop = xsize - ysize
self.fourty_image = image.clone()
if crop_off_bottom == True:
self.fourty_image.crop(height=(ysize - pixels_to_crop))
if crop_off_right == True:
self.fourty_image.crop(width=(xsize - pixels_to_crop),
gravity='center',
height=ysize)
self.fourty_image.resize(int(round(40)), int(round(40)))
self.sixty_image = image.clone()
if crop_off_bottom == True:
self.sixty_image.crop(height=(ysize - pixels_to_crop))
if crop_off_right == True:
self.sixty_image.crop(width=(xsize - pixels_to_crop),
gravity='center',
height=ysize)
self.sixty_image.resize(int(round(60)), int(round((60))))
def image_transform():
# check if the post request has the file part
if 'image_file' not in request.files:
return "Missing uploaded file"
new_file = request.files['image_file']
# if user does not select file, browser also
# submit a empty part without filename
if new_file.filename == '':
return "Missing file name"
tempdir = tempfile.gettempdir()
fname = os.path.join('app/static', new_file.filename)
new_file.save(fname)
#print (fname)
img = Image(filename=fname)
i = img.clone()
i.rotate(90)
fname_rotated = os.path.join('app/static', 'rotated_' + new_file.filename)
i.save(filename=fname_rotated)
return render_template("/imagetransform/view.html",
f1=fname[4:],
f2=fname_rotated[4:])
def make_image_to_post(self, job_string, image, image_format): font_size_to_width_ratio = 0.061 font_location = './Gotham-Bold.otf' fontColors = ['white', 'black'] logging.info(str(datetime.now()) + ': Begin image compositing.') try: im = Image(blob=image) except MissingDelegateError as e: raise except: raise font_size = im.width * font_size_to_width_ratio im_clone = im.clone() im_clone.resize(1,1) for row in im_clone: for col in row: assert isinstance(col, Color) if (col.red + col.green + col.blue) / 3.0 >= 0.5: fontColors.reverse() font = Font(font_location, size=font_size, color=Color(fontColors[1])) im.caption(job_string, left=7, top=7, width=im.width-10, height=im.height-10, font=font) font = Font(font_location, size=font_size, color=Color(fontColors[0])) im.caption(job_string, left=5, top=5, width=im.width-10, height=im.height-10, font=font) im.format = image_format return im
def apply_to_image(image: BaseImage, *, color: str, radius: float,
sigma: float, xoffset: float, yoffset: float) -> Image:
xoffset = round(xoffset * image.width)
yoffset = round(yoffset * image.height)
new_width = image.width + 3 * xoffset
new_height = image.height + 3 * yoffset
opacity = Image(width=new_width, height=new_height, pseudo='xc:white')
opacity.composite(image.channel_images['opacity'],
left=xoffset,
top=yoffset)
opacity.gaussian_blur(radius * image.width, sigma * image.width)
opacity.negate()
opacity.modulate(50)
shadow = Image(width=new_width, height=new_height, pseudo='xc:' + color)
shadow.composite(opacity, operator='copy_opacity')
result = Image(width=new_width, height=new_height, pseudo='xc:transparent')
result.composite(image)
result.composite(shadow, operator='difference')
trimmed = result.clone()
trimmed.trim(color=Color('transparent'))
result.crop(width=max(image.width, trimmed.width),
height=max(image.height, trimmed.height))
return result
def savefile(imagefile, username):
"""Upload Procedure:"""
cnx = connect_DB()
cursor = cnx.cursor()
query = '''select * from images where username=%s order by imageid DESC'''
cursor.execute(query, (username, ))
rownum = cursor.rowcount
filename = rownum + 1
# filename = secure_filename(imagefile.filename)
filename = username + '_' + str(filename)
imagefile.save(os.path.join(webapp.config['UPLOAD_FOLDER'], filename))
# with open(os.path.join(webapp.config['UPLOAD_FOLDER'], filename)) as f:
# image_binary = f.read()
# with Image(filename='./images_uploaded/'+filename) as img:
# with Image(blob=image_binary) as img:
fname = os.path.join(webapp.config['UPLOAD_FOLDER'], filename)
img = Image(filename=fname)
# with open(fname, "rb") as image0:
with img.clone() as flipped:
flipped.flip()
newname1 = os.path.join(webapp.config['UPLOAD_FOLDER'],
'trans1_' + filename)
# flipped.save(os.path.join(webapp.config['UPLOAD_FOLDER'], newname1))
flipped.save(filename=newname1)
with img.clone() as cropped:
frequency = 3
phase_shift = -90
amplitude = 0.2
bias = 0.7
cropped.function('sinusoid', [frequency, phase_shift, amplitude, bias])
cropped.save(
filename=os.path.join(webapp.config['UPLOAD_FOLDER'], "trans2_" +
filename))
with img.clone() as colored:
colored.evaluate(operator='rightshift', value=1, channel='blue')
colored.evaluate(operator='leftshift', value=1, channel='red')
colored.save(
filename=os.path.join(webapp.config['UPLOAD_FOLDER'], "trans3_" +
filename))
query = '''INSERT INTO images (username, image0, image1, image2, image3) VALUES (%s,%s,%s,%s, %s)'''
# username = session['username']
cursor.execute(query, (username, filename, 'trans1_' + filename,
'trans2_' + filename, 'trans3_' + filename))
cnx.commit()
db = getattr(g, '_database', None)
if db is not None:
db.close()
def _save_page_image(pdf_filename, image, thumb_filename,
make_thumb, thumb_size, thread_number, verbose=False):
success = False
image_filename = ''
if True:
#try:
if verbose == True:
print "{0}: Saving off PDF image ...".format(thread_number)
try:
image_filename = '{0}.tiff'.format(pdf_filename)
bg = WandImage(width=image.width, height=image.height, background=Color("white"))
bg.composite(image, 0, 0)
bg.clone().save(
filename = image_filename,
)
except Exception, ex:
print ex
#image.clone().save(
# filename=image_filename
#)
if verbose == True:
print "{0}: Done saving off PDF image.".format(thread_number)
if make_thumb == True:
if verbose == True:
print "{0}: Making thumb nail image: '{1}' ...".format(thread_number, thumb_filename)
FNULL = open(os.devnull, 'w')
cli_call = [
'convert',
'-resize',
'{0}x{0}'.format(thumb_size),
image_filename,
thumb_filename,
]
subprocess.call(
cli_call,
stdout=FNULL,
stderr=subprocess.STDOUT
)
success = True
def main():
funky_img = Image(filename="../images/funky_illustration.png")
funky_img = resize_to_percent(funky_img, 60)
cropped_img = funky_img.clone()
cropped_img.crop(top=0, left=275, width=340, height=486)
display(funky_img)
display(cropped_img)
def resize(self, img, resize_width, resize_height, save_name=None):
if type(img) == 'str':
img = Image(filename=img)
print('original size', img.size)
img_clone = img.clone()
img_clone.resize(resize_width, resize_height)
if save_name is not None:
img_clone.save(filename=save_name)
return img_clone
def clone_downscale_save(input_file, output_file, pixels=3000000,
width=None, height=None, compression_quality=92):
orig = Image(filename=input_file)
img = orig.clone()
img = downscale(img, pixels, width, height, compression_quality)
# Make sure output directory exists
dirname, _basename = os.path.split(output_file)
mkdir_p(dirname) # Noop if dir already exists
img.save(filename=output_def)
def set_image(self, binary):
self.binary = binary
with Image(blob=self.binary, resolution=150) as img:
self.extension = img.format.lower()
flattened = Image(background=Color("white"),
height=img.height, width=img.width)
flattened.composite(img, left=0, top=0)
flattened.format = "jpeg"
flattened.compression_quality = 50
thumbnail = flattened.clone()
thumbnail.transform(resize='150x200>')
self.thumbnail = thumbnail.make_blob()
preview = flattened.clone()
preview.gaussian_blur(radius=1, sigma=0.5)
preview.transform(resize='612x792>')
self.preview = preview.make_blob()
self.save()
def save(self, create_thumbnails=True, *args, **kwargs):
super(Image, self).save(*args, **kwargs)
from wand.color import Color
if create_thumbnails:
thumbnails = {}
original_image = WImage(filename=self.image.path)
splitted_path = self.image.path.rsplit('.', 1)
image_url_part = self.image.url.rsplit('/', 1)
white_color = Color('white')
watermark = settings.WATERMARK
if watermark:
watermark_img = WImage(filename=watermark.get('path'))
image_width, image_height = original_image.size
wm_width, wm_height = watermark_img.size
wm_left_pos, wm_top_pos = self.watermark_position(
settings.WATERMARK_POSITION,
image_width, image_height, wm_width, wm_height)
watermarked_original_image = original_image.clone()
watermarked_original_image.watermark(
watermark_img,
settings.WATERMARK_TRANSPARENCY,
wm_left_pos,
wm_top_pos
)
original_image = watermarked_original_image
for name, size in settings.KONKORD_IMAGE_SIZES.items():
thumb = original_image.clone()
thumb.transform(resize='%sx%s' % size)
thumb.gravity = 'center'
background = WImage().blank(background=white_color, *size)
background.composite(
thumb,
int((background.width - thumb.width) / 2),
int((background.height - thumb.height) / 2),
)
resized_path = splitted_path.copy()
resized_path.insert(1, 'x'.join(map(str, size)))
joined_path = '.'.join(resized_path)
background.save(filename=joined_path)
image_url_part[1] = joined_path.rsplit('/', 1)[-1]
thumbnails[name] = '/'.join(image_url_part)
self.thumbnails = thumbnails
self.save(create_thumbnails=False)
def convert_image(pngfile, pf, outdir=".",
resize=1000, format="jpeg", rotate=0,
rows=':', cols=':', labelrows=None, labelcols=None):
resizefile = op.join(outdir, pf + ".resize.jpg")
mainfile = op.join(outdir, pf + ".main.jpg")
labelfile = op.join(outdir, pf + ".label.jpg")
img = Image(filename=pngfile)
exif = dict((k, v) for k, v in img.metadata.items() if k.startswith('exif:'))
# Rotation, slicing and cropping of main image
if rotate:
img.rotate(rotate)
if resize:
w, h = img.size
if min(w, h) > resize:
if w < h:
nw, nh = resize, resize * h / w
else:
nw, nh = resize * w / h, resize
img.resize(nw, nh)
logging.debug("Image `{0}` resized from {1}px:{2}px to {3}px:{4}px".\
format(pngfile, w, h, nw, nh))
img.format = format
img.save(filename=resizefile)
rimg = img.clone()
if rows != ':' or cols != ':':
w, h = img.size
ra, rb = slice(rows, h)
ca, cb = slice(cols, w)
# left, top, right, bottom
logging.debug("Crop image to {0}:{1} {2}:{3}".format(ra, rb, ca, cb))
img.crop(ca, ra, cb, rb)
img.format = format
img.save(filename=mainfile)
else:
mainfile = resizefile
# Extract text labels from image
if labelrows or labelcols:
w, h = rimg.size
if labelrows and not labelcols:
labelcols = ':'
if labelcols and not labelrows:
labelrows = ':'
ra, rb = slice(labelrows, h)
ca, cb = slice(labelcols, w)
logging.debug("Extract label from {0}:{1} {2}:{3}".format(ra, rb, ca, cb))
rimg.crop(ca, ra, cb, rb)
rimg.format = format
rimg.save(filename=labelfile)
else:
labelfile = None
return resizefile, mainfile, labelfile, exif
def convert_image(pngfile, pf, outdir=".",
resize=1000, format="jpeg", rotate=0,
rows=':', cols=':', labelrows=None, labelcols=None):
resizefile = op.join(outdir, pf + ".resize.jpg")
mainfile = op.join(outdir, pf + ".main.jpg")
labelfile = op.join(outdir, pf + ".label.jpg")
img = Image(filename=pngfile)
exif = dict((k, v) for k, v in img.metadata.items() if k.startswith('exif:'))
# Rotation, slicing and cropping of main image
if rotate:
img.rotate(rotate)
if resize:
w, h = img.size
if min(w, h) > resize:
if w < h:
nw, nh = resize, resize * h / w
else:
nw, nh = resize * w / h, resize
img.resize(nw, nh)
logging.debug("Image `{0}` resized from {1}px:{2}px to {3}px:{4}px".\
format(pngfile, w, h, nw, nh))
img.format = format
img.save(filename=resizefile)
rimg = img.clone()
if rows != ':' or cols != ':':
w, h = img.size
ra, rb = slice(rows, h)
ca, cb = slice(cols, w)
# left, top, right, bottom
logging.debug("Crop image to {0}:{1} {2}:{3}".format(ra, rb, ca, cb))
img.crop(ca, ra, cb, rb)
img.format = format
img.save(filename=mainfile)
else:
mainfile = resizefile
# Extract text labels from image
if labelrows or labelcols:
w, h = rimg.size
if labelrows and not labelcols:
labelcols = ':'
if labelcols and not labelrows:
labelrows = ':'
ra, rb = slice(labelrows, h)
ca, cb = slice(labelcols, w)
logging.debug("Extract label from {0}:{1} {2}:{3}".format(ra, rb, ca, cb))
rimg.crop(ca, ra, cb, rb)
rimg.format = format
rimg.save(filename=labelfile)
else:
labelfile = None
return resizefile, mainfile, labelfile, exif
def main():
args = parseArguments()
px = args.pixels
out = args.out
filename_out = os.path.splitext(ntpath.basename(args.input))[0] + ".png"
img = Image(filename=args.input, resolution=(72, 72))
img.clone().convert('png').save(filename="xxx.png")
if args.mode is 'android' or args.mode is 'all':
convertImage(img, px, join(out, "drawable-mdpi"), filename_out)
convertImage(img, int(px * 1.5), join(out, "drawable-hdpi"), filename_out)
convertImage(img, px * 2, join(out, "drawable-xhdpi"), filename_out)
convertImage(img, px * 3, join(out, "drawable-xxhdpi"), filename_out)
convertImage(img, px * 4, join(out, "drawable-xxxhdpi"), filename_out)
elif args.mode is 'ios' or args.mode is 'all':
convertImage(img, px * 2, join(out, "ios-2x"), filename_out)
convertImage(img, px, join(out, "ios-1x"), filename_out)
convertImage(img, px * 3, join(out, "ios-3x"), filename_out)
img.close()
def barcode_decoder(file):
store_base = "B" + datetime.now().strftime(
'%Y-%m-%d-%H-%M-%S') + '-' + str(uuid.uuid4())
store_ext = filename_extension(file.filename)
const_file_name = store_base + "_barcode" + "." + store_ext
img = cv2.imdecode(numpy.fromstring(file.read(), numpy.uint8),
cv2.IMREAD_UNCHANGED)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
barcodes = pyzbar.decode(gray)
# loop over the detected barcodes
barcodeData = []
for barcode in barcodes:
print("checking barcode")
# extract the bounding box location of the barcode and draw the bounding box surrounding the barcode on the image
(x, y, w, h) = barcode.rect
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 20)
barcode_data = barcode.data.decode("utf-8")
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img, barcode_data, (x, y), font, 1.2, (0, 0, 0), 5,
cv2.LINE_AA)
# the barcode data is a bytes object so if we want to draw it on our output image we need to convert it to a string first
barcodeData.append(barcode_data)
#check if any barcode found
if len(barcodeData) > 0:
store_ext_dot = '.' + store_ext
r, outputImage = cv2.imencode(store_ext_dot, img)
#storing in S3
i_byte = io.BytesIO()
i_byte.write(outputImage)
i_byte.seek(0)
#creating thumbnail
with i_byte as new_file_b:
img = Image(file=new_file_b) # response
i = img.clone()
i.resize(240, 180)
b_byte = io.BytesIO()
i.save(file=b_byte)
b_byte.seek(0)
with b_byte as new_file_b:
s3 = boto3.client('s3')
s3.upload_fileobj(new_file_b,
BUCKET_NAME,
const_file_name,
ExtraArgs={'ACL': 'public-read'})
# print the barcode type and data to the terminal
print("[INFO] Found barcode: {}".format(barcodeData))
# store barcode data on dynamoDB [To Do]
dynamo.update_append_user_barcode_attribute(current_user.username,
barcodeData,
const_file_name)
else:
raise Exception('Error encoding barcode')
return barcodeData, const_file_name
def orient_and_resize(image_filename):
resized_images = {}
img = Image(filename=image_filename)
img.auto_orient()
(w,h) = img.size
w = int(w)
h = int(h)
filename_base = image_filename
filename_base = filename_base.replace("/", "-")
filename_base = filename_base.replace(" ", "_")
with img.clone() as img_clone:
img_clone.resize(1280, int((1280.0/w)*h))
fname = "Resized/" + filename_base + "_1280.jpg"
resized_images['1280'] = fname
img_clone.save(filename=PREFIX_DIR + fname)
with img.clone() as img_clone:
img_clone.resize(640, int((640.0/w)*h))
fname = "Resized/" + filename_base + "_640.jpg"
resized_images['640'] = fname
img_clone.save(filename=PREFIX_DIR + fname)
with img.clone() as img_clone:
img_clone.resize(320, int((320.0/w)*h))
fname = "Resized/" + filename_base + "_320.jpg"
resized_images['320'] = fname
img_clone.save(filename=PREFIX_DIR + fname)
with img.clone() as img_clone:
img_clone.resize(160, int((160.0/w)*h))
fname = "Resized/" + filename_base + "_160.jpg"
resized_images['160'] = fname
img_clone.save(filename=PREFIX_DIR + fname)
img.close()
return ((w, h), resized_images)
def process_file(user_id, new_file):
store_base = "I" + datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S') + '-' + str(uuid.uuid4())
store_ext = filename_extension(new_file.filename)
original_store_path = os.path.join('app/static/user_images', store_base + "." + store_ext)
new_file.save(original_store_path)
try:
cnx = get_db()
cursor = cnx.cursor()
# create a new tuple for the photo and store the
query = "INSERT INTO photo (user_id) VALUES (%s)"
cursor.execute(query, (user_id,))
# get id of newly created tuple
query = "SELECT LAST_INSERT_ID()"
cursor.execute(query)
row = cursor.fetchone()
photo_id = row[0]
# store the path to the original image
query = "INSERT INTO storedphoto (filename,type_id,photo_id) VALUES (%s,%s,%s)"
cursor.execute(query, (original_store_path[4:], TYPE_ORIGINAL, photo_id))
# create thumbnail
img = Image(filename=original_store_path)
i = img.clone()
i.resize(80, 80)
thumbnail_store_path = os.path.join('app/static/user_images', store_base + "_thumb." + store_ext)
i.save(filename=thumbnail_store_path)
# store path to thumbnail
query = "INSERT INTO storedphoto (filename,type_id,photo_id) VALUES (%s,%s,%s)"
cursor.execute(query, (thumbnail_store_path[4:], TYPE_THUMBNAIL, photo_id))
with open(original_store_path, 'rb') as f:
image_bytes = f.read()
image_bytes_np = numpy.asarray(image_bytes)
df_store_path = os.path.join('app/static/user_images', store_base + "_df." + store_ext)
detect_faces_and_save(image_bytes_np, df_store_path)
query = "INSERT INTO storedphoto (filename,type_id,photo_id) VALUES (%s,%s,%s)"
cursor.execute(query, (df_store_path[4:], TYPE_FACE_DETECTED, photo_id))
cursor.close()
cnx.commit()
except Exception as e:
raise e
def transform(filename, fname):
img = Image(filename=fname)
flopped = img.clone()
flopped.flop()
fname_flopped = filename.split('.', 1)[0] + '_flopped.' + filename.split(
'.', 1)[1]
flopped.save(
filename=os.path.join(app.config['UPLOAD_FOLDER'], fname_flopped))
rotated = img.clone()
rotated.rotate(45)
fname_rotated = filename.split('.', 1)[0] + '_rotated.' + filename.split(
'.', 1)[1]
rotated.save(
filename=os.path.join(app.config['UPLOAD_FOLDER'], fname_rotated))
enhanced = img.clone()
enhanced.evaluate(operator='rightshift', value=1, channel='blue')
enhanced.evaluate(operator='leftshift', value=1, channel='red')
fname_enhanced = filename.split('.', 1)[0] + '_enhanced.' + filename.split(
'.', 1)[1]
enhanced.save(
filename=os.path.join(app.config['UPLOAD_FOLDER'], fname_enhanced))
return [fname_flopped, fname_rotated, fname_enhanced]
def make_variant(self, base_img: Image, size):
"""Make image variant to handle responsive images.
base_img: large reference image, that needs to be
adjusted for desired resolution
Function can return only one variant.
If you need to form plenty of images, use make_variants instead.
"""
with base_img.clone() as variant:
self.resize(variant, size)
new_path = self.get_new_filepath(size)
variant.save(filename=new_path)
return new_path
def image_transform(image_binary, degree, fname):
#image_binary = f.read()
img = Image(blob=image_binary)
i = img.clone()
i.rotate(degree)
i.format = "jpeg"
i.save(filename=fname)
newfile = open(fname, "rb")
return newfile
def create_circular_image(self, img, radius=50):
img = img if hasattr(img, "read") else open(img, "rb")
imgsize = radius * 2
img.seek(0)
img = Image(file=img)
self._instance_bin.add(img)
img.resize(imgsize, imgsize)
with img.clone() as mask:
mask.threshold(-1)
mask.negate()
with Drawing() as draw:
draw.fill_color = Color("white")
draw.circle((radius, radius), (radius, 1))
draw(mask)
mask.alpha_channel = False
img.composite(mask, operator="copy_opacity")
return img
def img_display(UserId):
all_file = file_list(UserId)
s3_client = boto3.client ('s3')
bucket_name = s3_config
file_path = []
if not all_file:
error_msg = "No image, please upload first!"
return render_template("Image/upload.html",error_msg=error_msg, UserId = UserId)
for FileName in all_file:
file_name = os.path.join('app/static',FileName)
s3_client.download_file(bucket_name, str(UserId) + '/' + FileName, file_name)
img = Image(filename = file_name)
thumb_nail = img.clone()
thumb_nail_name = os.path.join('app/static','thumb_nail_' + FileName)
thumb_nail.resize(150,150)
thumb_nail.save(filename = thumb_nail_name)
file_path.append(thumb_nail_name[4:])
return render_template("Image/OriginalView.html", file = file_path, UserId = UserId)
def Test_2():
from wand.image import Image, COMPOSITE_OPERATORS
from wand.drawing import Drawing
from wand.display import display
from wand.api import library
wizard = Image(filename='wizard:')
rose = Image(filename='rose:')
# for o in COMPOSITE_OPERATORS:
# w=wizard.clone()
# r=rose.clone()
# with Drawing() as draw:
# draw.composite(operator=o, left=175, top=250,width=r.width, height=r.height, image=r)
# draw(w)
# display(w)
w = wizard.clone()
def picture_save_api(request_file,
original_file_size=(0, 0),
original_file_type='jpeg',
compress_file_size=(0, 0),
compress_file_type='jpeg'):
pic = Picture()
pic.save()
original_image = Image(file=urlopen(request_file))
compress_image = original_image.clone()
original_image.format = original_file_type
compress_image.format = compress_file_type
w, h = original_image.size
original_width = w
compress_width = w
original_height = h
compress_height = h
if original_file_size[0] > 0:
original_width = original_file_size[0]
if original_file_size[1] > 0:
original_height = original_file_size[1]
if compress_file_size[0] > 0:
compress_width = compress_file_size[0]
if compress_file_size[1] > 0:
compress_height = compress_file_size[1]
original_image.resize(original_width, original_height)
original_image.compression_quality = 60
compress_image.resize(compress_width, compress_height)
compress_image.compression_quality = 60
pic.original_image.save(
str(pic.id) + u'_o.' + original_file_type,
ContentFile(original_image.make_blob()))
pic.compress_image.save(
str(pic.id) + u'_c.' + compress_file_type,
ContentFile(compress_image.make_blob()))
return pic
def process_image(source_image: Image,
operations_string: str) -> Optional[Image]:
operations = operations_string.split('/')
image = source_image.clone()
while len(operations) > 1:
operation = operations.pop(0)
params = operations.pop(0)
if operation == 'crop':
handle_crop(image, params)
if operation == 'resize':
image.transform(resize=params)
if operation == 'rotate':
image.rotate(int(params))
return image
def get_transformations(fname):
#print ("!!!!!!!!!!!!!!!!!!!!!!!enter transformation!!!!!!!!!!!!!!!!!!!!!!!!!!")
img = Image(filename=fname)
#print ("!!!!!!!!!!!!!!!!!filename=%s!!!!!!!!!!!!!!!!!!!!!!!!!!!"%fname)
photos = []
for type in PhotoType:
i = img.clone()
if type == PhotoType.THUMBNAIL:
#print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!thumbnail!!!!!!!!!!!!!!!!!!!!")
height = 200
width = int (img.width * height / img.height)
i.resize(width, height)
elif type == PhotoType.BLACKWHITE:
i.type = 'bilevel'
elif type == PhotoType.FLIPPED:
i.flip()
photos.append(i)
#print ("!!!!!!!!!!!!!!!!!!!!!!!finish transform!!!!!!!!!!!!!!!!!!!!!!!!!")
return photos,fname
def kekify(kek_param, filename, extension, file):
if kek_param == "-m":
result = multikek(filename, extension)
return None, None, result
if file == None:
source = Image(filename=path + filename + extension)
else:
source = file
w = source.width
h = source.height
c, p1, p2, f = get_values(kek_param, w, h)
with source.clone() as part1:
part1.crop(c[0], c[1], c[2], c[3])
with part1.clone() as part2:
getattr(part2, f)()
new_canvas = Image()
new_canvas.blank(w, h)
new_canvas.composite(part1, p1[0], p1[1])
new_canvas.composite(part2, p2[0], p2[1])
source.close()
return w, h, new_canvas
def create_and_store_transformation(trans_id, filename, photo_id, url0):
# create transformation
cnx = get_db()
cursor = cnx.cursor()
fp = urlopen(url0)
img = Image(file=fp)
i = img.clone()
i.rotate(90 * trans_id)
fname_transformation = os.path.join(
'app/static/temp', 'transformation_' + str(trans_id) + "_" + filename)
i.save(filename=fname_transformation)
s3 = boto3.client('s3')
s3.upload_file(fname_transformation, 'ece1779fall2017photo',
'transformation_' + str(trans_id) + "_" + filename)
url = 'https://s3.amazonaws.com/ece1779fall2017photo/' + 'transformation_' + str(
trans_id) + "_" + filename
# store path
query = "INSERT INTO transformation (filename,type_id,photo_id) VALUES (%s,%s,%s)"
cursor.execute(query, (url, trans_id, photo_id))
cnx.commit()
return
def test_wand():
image_data = Image(blob=s)
image_data.compression_quality = 70
is_gallery_card = False
image_data_size = (image_data.width, image_data.height)
image_size = (720, 720)
if is_gallery_card:
image_size = (720, 1120)
if image_size != image_data_size:
result = image_data.resize(image_size[0], image_size[1])
with image_data.clone() as img:
result = img = crop_image(img, (720, 472))
# 공감전용 카드의 경우 댓글용 이미지를 생성하지 않는다.
if not is_gallery_card:
result = img.resize(460, 310)
result = image_data.resize(360, 360)
result = image_data.resize(132, 132)
return result
def main():
req_width = 595
req_height = 486
baby_img = Image(filename="baby_cc_sh.png")
baby_img = resize_to_height(baby_img, req_height)
temp_img = new_blank_png(req_width, req_height)
temp_img.composite(baby_img, 0, 0)
baby_img = temp_img
mask_img = new_blank_png(req_width, req_height, color=Color('rgb(32,32,32)'))
mask_img.save(filename="mask_img.png")
print "DEBUG baby_img", baby_img.alpha_channel
print "DEBUG mask_img", mask_img.alpha_channel
baby_img_masked = baby_img.clone()
baby_img_masked.composite_channel(channel='all_channels', image=mask_img, operator='copy_opacity')
display(baby_img)
display(baby_img_masked)
baby_img.save(filename="baby_img.png")
baby_img_masked.save(filename="baby_img_masked.png")
def picture_save_api(request_file, original_file_size=(0, 0), original_file_type='jpeg', compress_file_size=(0, 0), compress_file_type='jpeg'):
pic = Picture()
pic.save()
original_image = Image(file=urlopen(request_file))
compress_image = original_image.clone()
original_image.format = original_file_type
compress_image.format = compress_file_type
w, h = original_image.size
original_width = w
compress_width = w
original_height = h
compress_height = h
if original_file_size[0] > 0:
original_width = original_file_size[0]
if original_file_size[1] > 0:
original_height = original_file_size[1]
if compress_file_size[0] > 0:
compress_width = compress_file_size[0]
if compress_file_size[1] > 0:
compress_height = compress_file_size[1]
original_image.resize(original_width, original_height)
original_image.compression_quality = 60
compress_image.resize(compress_width, compress_height)
compress_image.compression_quality = 60
pic.original_image.save(str(pic.id) + u'_o.' + original_file_type, ContentFile(original_image.make_blob()))
pic.compress_image.save(str(pic.id) + u'_c.' + compress_file_type, ContentFile(compress_image.make_blob()))
return pic
def file_upload():
login = request.form.get("userID")
password = request.form.get("password")
error = False
if login == "" or password == "":
return "Missing username or password"
cnx = get_db()
cursor = cnx.cursor()
query = ''' SELECT * FROM users WHERE login = %s '''
cursor.execute(query, (login, ))
row = cursor.fetchone()
if row == None:
return "User not existed"
id = row[0]
_login = row[1]
_password = row[2]
if _password != password:
return "Wrong password"
#---------------------------------------------------------
# check if the post request has the file part
if 'uploadedfile' not in request.files:
return "Missing uploaded file"
new_image = request.files['uploadedfile']
# if user does not select file, browser also
# submit a empty part without filename
if new_image.filename == '':
return 'Missing file name'
fname = os.path.join('app/static', new_image.filename)
new_image.save(fname)
img = Image(filename=fname)
i1 = img.clone()
i1.modulate(33, 67, 50)
fname_tr1 = os.path.join('app/static', "TR1_" + new_image.filename)
i1.save(filename=fname_tr1)
i2 = img.clone()
i2.flop()
fname_tr2 = os.path.join('app/static', "TR2_" + new_image.filename)
i2.save(filename=fname_tr2)
i3 = img.clone()
i3.transform('300*300', '200%')
fname_tr3 = os.path.join('app/static', "TR3_" + new_image.filename)
i3.save(filename=fname_tr3)
s3 = boto3.client('s3')
with open(fname, "rb") as image1:
s3.upload_fileobj(image1, "ece1779",
str(id) + "_ORI_" + new_image.filename)
with open(fname_tr1, "rb") as image2:
s3.upload_fileobj(image2, "ece1779",
str(id) + "_TR1_" + new_image.filename)
with open(fname_tr2, "rb") as image3:
s3.upload_fileobj(image3, "ece1779",
str(id) + "_TR2_" + new_image.filename)
with open(fname_tr3, "rb") as image4:
s3.upload_fileobj(image4, "ece1779",
str(id) + "_TR3_" + new_image.filename)
os.remove(fname)
os.remove(fname_tr1)
os.remove(fname_tr2)
os.remove(fname_tr3)
query = ''' INSERT INTO images (userId,key1,key2,key3,key4) VALUES (%s,%s,%s,%s,%s)'''
cursor.execute(query,
(id, new_image.filename, "TR1_" + new_image.filename,
"TR2_" + new_image.filename, "TR3_" + new_image.filename))
cnx.commit()
return "Success"
async def maps(self, ctx, zoom, *country):
"""Search at openstreetmap.org\n
zoom: upclose, street, city, country, world
Type: 'none' to skip"""
user = ctx.message.author
channel = ctx.message.channel
country = "+".join(country)
longitude = 0.0
latitude = 0.0
adressNum = 1
limitResult = 0
#Set tile zoom
if zoom == 'upclose':
zoomMap = 18
elif zoom == 'street':
zoomMap = 16
elif zoom == 'city':
zoomMap = 11
elif zoom == 'country':
zoomMap = 8
elif zoom == 'world':
zoomMap = 2
else:
zoomMap = 16
#Get input data
search = country
await self.bot.say("` What city?`")
response = await self.bot.wait_for_message(author=ctx.message.author)
response = response.content.lower().strip().replace(" ", "+")
if response == "none":
pass
else:
search = search+","+response
#http://wiki.openstreetmap.org/wiki/Nominatim
await self.bot.say("` Enter your search term for the given location (building, company, address...)`")
response = await self.bot.wait_for_message(author=ctx.message.author)
response = response.content.lower().strip().replace(" ", "+")
if response == "none":
pass
else:
search = search+","+response
#print (search)
#Get xml result from openstreetmap.org
try:
domain = "nominatim.openstreetmap.org"
search = "/search?q={}&format=xml&polygon=1&addressdetails=1".format(search)
#print(domain+search)
conn = http.client.HTTPConnection(domain)
conn.request("GET", search)
r1 = conn.getresponse()
data = r1.read()
conn.close()
except Exception as e:
await self.bot.say("` Error getting GPS data.`")
print("Error getting GPS data.")
print(e)
return
try:
display_name = "-"
soup = BeautifulSoup(data, 'html.parser')
links = soup.findAll('place', lon=True)
results = len(links)
if results == 0:
await self.bot.say("`No results, try to rephrase`")
return
#print("results:\n"+str(results))
#print("display_name:\n"+display_name)
#print("longitude/latitude:\n"+str(longitude)+","+str(latitude))
except Exception as e:
await self.bot.say("`Something went wrong while parsing xml data...`")
print('parse XML failed')
print(e)
return
await self.bot.send_typing(channel)
if results > 1:
list = "```erlang\nResults\n-\n"
index = 0
for link in links:
index += 1
list = list + "(" +str(index) + "): "+ link["display_name"] + "\n"
list = list +"```` Enter result number...`"
await self.bot.say(list)
response = await self.bot.wait_for_message(author=ctx.message.author)
input = response.content.lower().strip()
#Set values for geotiler
input = int(input)-1
place_id = (links[input]["place_id"])
display_name = (links[input]["display_name"])
longitude = (links[input]['lon'])
latitude = (links[input]['lat'])
else:
#Set values for geotiler
place_id = (links[0]["place_id"])
display_name = (links[0]["display_name"])
longitude = (links[0]['lon'])
latitude = (links[0]['lat'])
await self.bot.send_typing(channel)
#print([latitude, longitude, zoomMap])
map = geotiler.Map(center=(float(longitude), float(latitude)), zoom=zoomMap, size=(720, 720))
map.extent
image = await geotiler.render_map_async(map)
image.save(MAP)
await self.bot.send_typing(channel)
#Add pointer and text.
savedMap = Image(filename=MAP)
pointer = Image(filename=POINTER)
for o in COMPOSITE_OPERATORS:
w = savedMap.clone()
r = pointer.clone()
with Drawing() as draw:
draw.composite(operator='atop', left=311, top=311, width=90, height=90, image=r)
draw(w)
#Text
draw.fill_color = Color("#7289DA")
draw.stroke_color = Color("#5370D7")
draw.stroke_width = 0.2
draw.font_style = 'oblique'
draw.font_size = 32
splitDisplayName = display_name.split(',')
#Object name/number
draw.text(x=20, y=35, body=splitDisplayName[0])
draw(w)
del splitDisplayName[0]
#Print location info on map.
line0 = ""
line1 = ""
draw.font_size = 18
for i in splitDisplayName:
if len(str(line0)) > 30:
line1 = line1 + i + ","
else:
line0 = line0 + i + ","
#line 0
if len(str(line0)) > 2:
draw.text(x=15, y=60, body=line0)
draw(w)
#line 1
if len(str(line1)) > 2:
draw.text(x=15, y=80, body=line1)
draw(w)
w.save(filename=MAP)
await self.bot.send_file(channel, MAP)
def FileUpload():
if 'uploadedfile' not in request.files:
error_msg = 'Error: Missing Image!'
return render_template('test.html',
title='Test Page',
error_msg=error_msg)
image = request.files['uploadedfile']
userID = request.form.get('userID',"")
password = request.form.get('password',"")
if userID =="" or password == "" or image.filename == "":
error_msg = 'Error: All fields are required!'
return render_template('test.html',
title='Test Page',
error_msg=error_msg)
s3 = boto3.client('s3')
imgname = os.path.join(tmp_path, image.filename)
image.save(imgname)
key1 = 'load_test/'+ userID + '/' + image.filename
s3.upload_file(imgname, mybucket, key1)
img = Image(filename=imgname)
thumbnail_img = img.clone()
thumbnail_img.resize(160, 200)
thumbnail_imgname = os.path.join(tmp_path, 'thumbnail_'+image.filename)
thumbnail_img.save(filename=thumbnail_imgname)
key_thm = 'load_test/'+ userID + '/' + 'thumbnail_'+image.filename
s3.upload_file(thumbnail_imgname, mybucket, key_thm)
flopped_img = img.clone()
flopped_img.flop()
flopped_imgname = os.path.join(tmp_path, 'flopped_'+image.filename)
flopped_img.save(filename=flopped_imgname)
key2 = 'load_test/'+ userID + '/' + 'flopped_'+image.filename
s3.upload_file(flopped_imgname, mybucket, key2)
flipped_img = img.clone()
flipped_img.flip()
flipped_imgname = os.path.join(tmp_path, 'flipped_'+image.filename)
flipped_img.save(filename=flipped_imgname)
key3 = 'load_test/'+ userID + '/' + 'flipped_'+image.filename
s3.upload_file(flipped_imgname, mybucket, key3)
rotated_img = img.clone()
rotated_img.rotate(25, background=Color('green'))
rotated_imgname = os.path.join(tmp_path, 'rotated_'+image.filename)
rotated_img.save(filename=rotated_imgname)
key4 = 'load_test/'+ userID + '/' + 'rotated_'+image.filename
s3.upload_file(rotated_imgname, mybucket, key4)
return redirect('/test')
med_path = img_path+"medium/"
small_path = img_path+"small/"
#Get list of files in directory
img_files = [ f for f in listdir(orig_path) if isfile(join(orig_path,f)) ]
print "Looking for images in: " + img_path
print "Found the following: " + str(img_files)
for f in img_files:
if f.startswith("."):
print "Not an image file: " + str(f)
else:
print "Processing image: "+f
#Create image objects for small and medium using original large
li = Image(filename=join(orig_path,f))
mi = li.clone()
si = mi.clone()
print 'Original: '+str(mi.width)+'x'+str(mi.height)
#Resize to med and small maintaining aspect ratio
mi.transform(resize=str(med_size)+'x'+str(med_size)+'>')
print 'Medium: '+str(mi.width)+'x'+str(mi.height)
si.transform(resize=str(small_size)+'x'+str(small_size)+'>')
print 'Small: '+str(si.width)+'x'+str(si.height)
#Convert to JPEG if necessary and save as new file
lf = join(large_path,f)
if li.format != 'JPEG':
li = li.convert('jpeg')
li.save(filename=lf[:-3]+'jpg')
def slice02():
# Resize image to height (but do not change the aspect ratio)
#
req_width = 595
req_height = 486
baby_img = Image(filename=IMAGE_PATH + "baby_cc_sh.png")
baby_img = resize_to_height(baby_img, req_height)
# For this particular image, reflect image along vertical
# axis to have face directed towards right of page.
#
baby_img.flop()
# Create the the gradient transition that will later be used
# in the opacity mask.
#
gradient_blob = create_gradient_blob(req_height, 75, gradient([
(1.0, (0x00, 0x00, 0x00), (0xFF, 0xFF, 0xFF)), # top
]))
gradient_img = Image(blob=gradient_blob)
gradient_img.rotate(90.0)
# When building the opacity mask, must start with an image
# having a solid colour (i.e., begin as a "matte" image).
# Without this, the later "composite_channel" operations
# will simply not work.
#
opacity_mask = new_blank_png(req_width, req_height, color=Color('white'))
left_field = new_blank_png(230, req_height, Color('white'))
right_field = new_blank_png(290, req_height, Color('black'))
opacity_mask.composite(left_field, 0, 0)
opacity_mask.composite(right_field, 230+75, 0)
opacity_mask.composite(gradient_img, 230, 0)
# Now take the resized baby image and have it fade to the right
# (in order to blend with later operations).
#
face_img = new_blank_png(req_width, req_height)
face_img.composite(baby_img, 0, 0)
face_img.composite_channel(channel='all_channels', image=opacity_mask,
operator='copy_opacity')
# Bring in the illustrative image that will eventually be blended in
# with the child's face.
#
accent_img = Image(filename = IMAGE_PATH + "funky_illustration.png")
accent_img = resize_to_percent(accent_img, 60)
accent_img = resize_to_height(accent_img, 486)
cropped_img = accent_img.clone()
cropped_img.crop(top=0, left=275, width=340, height=486)
screen_img = new_blank_png(340, 486, color=Color('rgb(150,150,150)'))
cropped_img.composite_channel(channel='all_channels', image=screen_img,
operator='screen')
accent_img = new_blank_png(req_width, req_height)
accent_img.composite_channel(channel='all_channels', image=cropped_img,
operator='over', left=255, top=0)
accent_img.gaussian_blur(3.0, 1.0)
opacity_mask = new_blank_png(req_width, req_height, color=Color('white'))
left_field = new_blank_png(260, req_height, Color('black'))
right_field = new_blank_png(290, req_height, Color('white'))
opacity_mask.composite(left_field, 0, 0)
opacity_mask.composite(right_field, 260+75, 0)
gradient_img.rotate(180)
opacity_mask.composite(gradient_img, 260, 0)
accent_img.composite_channel(channel='all_channels', image=opacity_mask,
operator='copy_opacity')
# Now layer the accent image with the child's face
#
accent_img.composite_channel(channel='all_channels', image=face_img,
operator='over')
full_slice = accent_img
# Finally, add the text field on the right of the image.
#
text_field = new_blank_png(212, req_height, color=Color('rgb(190,30,45)'))
text_field_mask = new_blank_png(212, req_height, color=Color('rgb(220,220,220)'))
text_field.composite_channel(channel='all_channels', image=text_field_mask,
operator='copy_opacity')
full_slice.composite(text_field, 384, 0)
draw = Drawing()
draw.font = FONT_BOLD
draw.font_size = 24
draw.fill_color = Color('white')
draw.text(395, 175, "Liam Mulcahy")
draw.font = FONT_REGULAR
draw.font_size = 20
draw.text(395, 200, "Eyes to the Future")
draw.font = FONT_ITALIC
draw.font_size = 20
draw.text(395, 250, 'How dreams of')
draw.text(395, 275, 'future enterprise')
draw.text(395, 300, 'success are')
draw.text(395, 325, 'starting while still')
draw.text(395, 350, 'in nappies!')
draw(full_slice)
# Done.
#
return full_slice
def benchmark(source):
"""
run through all tests, timing along the way
timeit gets mentioned many times:
http://docs.python.org/3.4/library/timeit.html
"""
print("Testing moments: ")
start_time = time.time()
print("making path:")
step_time = time.time()
pic = Path(source)
print(time.time() - step_time, "seconds")
print("")
print("loading path:")
step_time = time.time()
img = pic.load()
print(time.time() - step_time, "seconds")
print("")
#13.3232491016 seconds:
## print "make thumbs: (all)"
## step_time = time.time()
## img.make_thumbs()
## print time.time() - step_time, "seconds"
## print ""
## print "removing thumbs: (all)"
## step_time = time.time()
## shutil.rmtree("sized")
## print time.time() - step_time, "seconds"
## print ""
#3.2377550602 seconds:
## print "make thumbs: (tiny)"
## step_time = time.time()
## img.make_thumbs(["tiny"])
## print time.time() - step_time, "seconds"
## print ""
## print "removing thumbs: (tiny)"
## step_time = time.time()
## shutil.rmtree("sized")
## print time.time() - step_time, "seconds"
## print ""
#now break it down to steps:
#0.000612020492554 seconds
## print "make thumbs dirs()"
## step_time = time.time()
## img.make_thumb_dirs()
## print time.time() - step_time, "seconds"
## print ""
## print "removing thumbs dirs"
## step_time = time.time()
## shutil.rmtree("sized")
## print time.time() - step_time, "seconds"
## print ""
#0.00586199760437 seconds
print("Open image with PIL: ")
step_time = time.time()
image = PILImage.open(source)
print(time.time() - step_time, "seconds")
print("")
print("show sizes: ")
step_time = time.time()
print(image.size)
print(time.time() - step_time, "seconds")
print("")
#0.56491112709 seconds
print("Copy image buffer in PIL: ")
step_time = time.time()
square = image.copy()
print(time.time() - step_time, "seconds")
print("")
print("resize max: ")
step_time = time.time()
pre_crop = resize_max(400, image.size[0], image.size[1])
print(pre_crop)
print(time.time() - step_time, "seconds")
print("")
#0.108213186264 seconds
print("Square image (includes copy)")
step_time = time.time()
square = img._square_image(square)
print(time.time() - step_time, "seconds")
print("")
#xl = 2880
#3.53499007225 seconds
print("thumbnail image (2880, ANTIALIAS)")
step_time = time.time()
#image.thumbnail((xl,xl), PILImage.ANTIALIAS)
square.thumbnail((400,400), PILImage.ANTIALIAS)
print(time.time() - step_time, "seconds")
print("")
print("After thumbnail: ", image.size)
print("")
print("save thumb")
step_time = time.time()
#image.save("test.jpg", "JPEG")
square.save("test1.jpg", "JPEG")
print(time.time() - step_time, "seconds")
print("")
print("PIL alternative (total)")
step_time = time.time()
#img = resize_pil_orig(image, (400, 400))
img = resize_pil(image, 400)
print(time.time() - step_time, "seconds")
print("")
img.save("test.jpg", "JPEG")
#shutil.rmtree("sized")
#os.remove("test.jpg")
from wand.image import Image
#0.572014093399 seconds
print("wand open file")
step_time = time.time()
img = Image(filename=source)
print(time.time() - step_time, "seconds")
print("")
print("wand clone image")
step_time = time.time()
clone = img.clone()
print(time.time() - step_time, "seconds")
print("")
print("wand get dimensions")
step_time = time.time()
width = img.width
height = img.height
## with Image(filename=source) as img:
## width = img.width
## height = img.height
print(width, height)
print(time.time() - step_time, "seconds")
print("")
print("wand crop image")
step_time = time.time()
box = calculate_box(img.width, img.height)
img.crop(*box)
print(time.time() - step_time, "seconds")
print("")
print("wand save image")
step_time = time.time()
img.save(filename='temp3.jpg')
print(time.time() - step_time, "seconds")
print("")
#THIS TAKES A *LONG* TIME!!!!
#273.595574856 seconds
#and will only make a difference for certain types of images
#made no difference for one test image
## print "wand liquid rescale"
## step_time = time.time()
## liquid = clone.liquid_rescale(400, 400)
## print time.time() - step_time, "seconds"
## print ""
## print "wand save liquid"
## step_time = time.time()
## img.save(filename='temp-liquid.jpg')
## print time.time() - step_time, "seconds"
## print ""
#0.238882064819 seconds
print("epeg resize")
step_time = time.time()
#TODO
#consider using subprocess...
#any benefits?
#os.system("jhead -cmd \"jpegtran -progressive -rotate %s &i > &o\" %s" % (degrees, self.path))
os.system("epeg -m %s %s temp-epeg.jpg" % (pre_crop, source))
print(time.time() - step_time, "seconds")
print("")
## print "Testing: "
## step_time = time.time()
## print source
## print time.time() - step_time, "seconds"
## print ""
print("TOTAL TIME:")
print(time.time() - start_time, "seconds")
# Parse the box entry. boxFields = boxes[boxIndex].split() boxOctal = int(boxFields[0]) boxLeft = int(boxFields[1]) boxBottom = backgroundHeight -1 - int(boxFields[2]) boxRight = int(boxFields[3]) boxTop = backgroundHeight - 1 - int(boxFields[4]) boxWidth = boxRight + 1 - boxLeft boxHeight = boxBottom + 1 - boxTop if characters[characterIndex] != '@': digitIndex = int(characters[characterIndex]) #print boxFields[0], ' ', characters[characterIndex] if specialOne and characters[characterIndex] == '1': #print "here" digit = oneSpecialDigit.clone() operator = 'difference' elif specialThree and characters[characterIndex] == '3': #print "here" digit = threeSpecialDigit.clone() operator = 'multiply' elif specialFive and characters[characterIndex] == '5': digit = fiveSpecialDigit.clone() operator = 'difference' elif boxOctal == digitIndex and not (characters[characterIndex] in blatant) and not (boxFields[0] in blatant): digit = images[digitIndex].clone() operator = 'darken' else: digit = imagesColored[digitIndex].clone() operator = 'darken' fontWidth = digit.width
def photowall(name):
output_final = None
previous_filename = None
#for all the rows,
for row in xrange(LINES):
print "Row ", row
output_row = None
row_width = 0
#concatenate until the image width is reached
img_count = 0
while row_width < WIDTH:
filename = get_next_file() if previous_filename is None else previous_filename
previous_filename = None
print img_count,
if mime is not None:
mimetype = mime.from_file(filename)
if "symbolic link" in mimetype:
filename = os.readlink(filename)
mimetype = mime.from_file(filename)
if not "image" in mimetype:
continue
print "%s: %s" % (filename, mimetype)
else:
try:
print os.readlink(filename)
except OSError:
print filename
img_count += 1
image = Image(filename=filename)
with image.clone() as clone:
factor = float(LINE_HEIGHT)/clone.height
clone.resize(height=LINE_HEIGHT, width=int(clone.width*factor))
#if the new image makes an overflow
if row_width + clone.width > WIDTH:
#compute how many pixels will overflow
overflow = row_width + clone.width - WIDTH
will_fit = clone.width - overflow
if DO_POLAROID and will_fit < MIN_CROP:
row_width = WIDTH
continue
if DO_WRAP:
with clone.clone() as next_img:
next_img.crop(will_fit+1, 0, width=overflow, height=LINE_HEIGHT)
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=IMG_FORMAT_SUFFIX)
tmp.close()
next_img.save(filename=tmp.name)
previous_filename = tmp.name
clone.crop(0, 0, width=will_fit, height=LINE_HEIGHT)
if DO_POLAROID:
details = get_file_details(filename)
clone = do_polaroid(clone, details)
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=IMG_FORMAT_SUFFIX)
tmp.close()
clone.save(filename=tmp.name)
row_width += clone.width
if output_row is not None:
do_append(output_row.name, tmp.name)
os.unlink(tmp.name)
else:
output_row = tmp
if output_final is not None:
do_append(output_final.name, output_row.name, underneath=True)
os.unlink(output_row.name)
else:
output_final = output_row
final_name = tempfile.gettempdir()+"/"+name+IMG_FORMAT_SUFFIX
os.rename(output_final.name, final_name)
return final_name
#sendtweet = True
if sendtweet:
print 'Updating ' + tmpfile
writetmpfile(printpercent)
print 'Message length: ' + str(len(status_msg))
print 'Sending tweet!'
print '---------------------'
print status_msg
print '---------------------'
api = TwitterAPI(CONSUMER_KEY, CONSUMER_SECRET, ACCESS_TOKEN_KEY, ACCESS_TOKEN_SECRET)
#Grab picture from web cam
r = requests.get('http://' + host + ':8080/?action=snapshot')
picdata = r.content
img = Image(blob=picdata)
s = img.clone()
l = logo.clone()
t = thermo.clone()
l.transparentize(0.30)
with Drawing() as draw:
#Draw Octoprint logo in the upper left corner
draw.composite(operator='dissolve', left=525, top=395,
width=l.width, height=l.height, image=l)
#Draw transparent black rectangle on the bottom of picture
draw.fill_color = Color('rgba(0, 0, 0, 0.5)')
draw.rectangle(left=0, top=400, right=500, bottom=480, radius=5)
#Insert thermometer pic over transparent rectangle
draw.composite(operator='dissolve', left=7, top=409,
width=t.width, height=t.height, image=t)
draw.fill_color = Color('rgba(100, 100, 100, 0.8)')
draw.rectangle(left=55, top=413, right=57, bottom=467)
def photowall(name):
output_final = None
previous_filename = None
#for all the rows,
row = -1
done = False
while not done:
row += 1
if PARAMS["LINES"] and row >= PARAMS["LINES"]: break
output_row = None
row_width = 0
img_count = 0
#concatenate until the image width is reached
while not done and row_width < PARAMS["WIDTH"]:
# get a new file, or the end of the previous one, if it was split
filename = get_next_file() if previous_filename is None else previous_filename
if filename is None:
print("All photos have been consumed.")
done = True
continue
mimetype = None
previous_filename = None
# get a real image
if mime is not None:
mimetype = mime.from_file(filename)
if "symbolic link" in str(mimetype):
filename = os.readlink(filename)
mimetype = mime.from_file(filename)
if not "image" in str(mimetype):
continue
else:
try:
filename = os.readlink(filename)
except OSError:
pass
updateCB.newImage(row, img_count, filename)
img_count += 1
# resize the image
image = Image(filename=filename)
with image.clone() as clone:
factor = float(PARAMS["LINE_HEIGHT"]) / clone.height
print("Resize image {} of a factor {:.2f}".format(filename, factor))
clone.resize(height=PARAMS["LINE_HEIGHT"], width=int(clone.width*factor))
#if the new image makes an overflow
if row_width + clone.width > PARAMS["WIDTH"]:
print("Doesn't fit.")
#compute how many pixels will overflow
overflow = row_width + clone.width - PARAMS["WIDTH"]
will_fit = clone.width - overflow
if will_fit < PARAMS["CROP_SIZE"]:
row_width = PARAMS["WIDTH"]
previous_filename = filename
continue
if PARAMS["DO_WRAP"]:
with clone.clone() as next_img:
next_img.crop(will_fit+1, 0, width=overflow, height=PARAMS["LINE_HEIGHT"])
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=PARAMS["IMG_FORMAT_SUFFIX"])
tmp.close()
next_img.save(filename=tmp.name)
previous_filename = tmp.name
clone.crop(0, 0, width=will_fit, height=PARAMS["LINE_HEIGHT"])
if PARAMS["DO_POLAROID"]:
clone = do_polaroid(clone, filename)
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=PARAMS["IMG_FORMAT_SUFFIX"])
tmp.close()
clone.save(filename=tmp.name)
row_width += clone.width
if output_row is not None:
do_append(output_row.name, tmp.name)
os.unlink(tmp.name)
else:
output_row = tmp
updateCB.updLine(row, output_row.name)
updateCB.checkPause()
if updateCB.stopRequested():
break
else:
if output_final is not None:
do_append(output_final.name, output_row.name, underneath=True)
os.unlink(output_row.name)
else:
output_final = output_row
updateCB.newFinal(output_final.name)
if output_final is not None:
shutil.move(output_final.name, name)
updateCB.finished(name)
else:
updateCB.finished(None)
return name
from wand.image import Image
fileName = input("Input a file name with its extension: ")
img = Image(filename=fileName)
height = img.height
width = img.width
with img.clone() as resize:
resize.resize(int(width * 0.05), int(height * 0.05), 'box', 1)
resize.resize(width, height, 'box', 1)
resize.save(filename='pixalated.jpg')
print("Completed.")
class TestImageRoute(FlaskTestCase):
bucket = "wtf"
def setUp(self):
super(TestImageRoute, self).setUp()
with Color('red') as bg:
self.image = Image(width=1920, height=1080, background=bg)
# let's clear the cache
params = OrderedDict()
params['w'] = 100
params['h'] = 100
giraffe.get_file_or_404.invalidate(self.bucket, "redbull.jpg")
giraffe.get_file_with_params_or_404.invalidate(self.bucket,
"redbull.jpg",
"{}/redbull_w100_h100.jpg".format(giraffe.CACHE_DIR),
params,
False)
@mock.patch('giraffe.s3')
def test_image_doesnt_exist(self, s3):
s3.get.side_effect = make_httperror(404)
r = self.app.get("/{}/redbull.jpg".format(self.bucket))
self.assertEqual(r.status_code, 404)
@mock.patch('giraffe.s3')
def test_image_resize_original_doesnt_exist(self, s3):
s3.get.side_effect = make_httperror(404)
r = self.app.get("/{}/redbull.jpg?w=100&h=100".format(self.bucket))
self.assertEqual(r.status_code, 404)
def test_image_has_no_extension(self):
r = self.app.get("/{}/foo".format(self.bucket))
self.assertEqual(r.status_code, 404)
def test_bucket_only(self):
r = self.app.get("/{}".format(self.bucket))
self.assertEqual(r.status_code, 404)
# original image as jpeg:
@mock.patch('giraffe.s3')
def test_jpeg_exists(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("jpeg")
obj.headers = {'content-type': 'image/jpeg'}
s3.get.return_value = obj
r = self.app.get("/{}/redbull.jpg".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/jpeg")
self.assertEqual(Image(blob=r.data).format, 'JPEG')
@mock.patch('giraffe.s3')
def test_jpeg_exists_but_format_as_png(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("jpeg")
obj.headers = {'content-type': 'image/jpeg'}
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/redbull.jpg?fm=png".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/png")
args, kwargs = s3.upload.call_args
self.assertEqual(args[0], "giraffe/redbull.png")
self.assertEqual(kwargs['content_type'], "image/png")
self.assertEqual(Image(blob=r.data).format, 'PNG')
@mock.patch('giraffe.s3')
def test_image_exists_but_needs_to_be_resized(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("jpeg")
# we'll call s3.get twice, the first time we'll get the original file, the second time
# we'll be calling to check for the specific version of the object.
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/redbull.jpg?w=100&h=100".format(self.bucket))
self.assertEqual(r.status_code, 200)
self.assertEqual(Image(blob=r.data).size, (100, 100))
@mock.patch('giraffe.s3')
def test_image_exists_but_user_wants_unnecessary_resize(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("jpeg")
# we'll call s3.get twice, the first time we'll get the original file, the second time
# we'll be calling to check for the specific version of the object.
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/redbull.jpg?w=1920&h=1080".format(self.bucket))
self.assertEqual(r.status_code, 200)
self.assertEqual(Image(blob=r.data).size, (1920, 1080))
@mock.patch('giraffe.s3')
def test_image_exists_and_has_already_been_resized(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("jpeg")
obj2 = mock.Mock()
with self.image.clone() as img:
img.resize(100, 100)
obj2.content = img.make_blob("jpeg")
# we'll call s3.get twice, the first time we'll get the original file, the second time
# we'll be calling to check for the specific version of the object.
s3.get.side_effect = [obj, obj2]
r = self.app.get("/{}/redbull.jpg?w=100&h=100".format(self.bucket))
self.assertEqual(r.status_code, 200)
self.assertEqual(Image(blob=r.data).size, (100, 100))
# original image as png:
@mock.patch('giraffe.s3')
def test_png_exists(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("png")
obj.headers = {'content-type': 'image/png'}
s3.get.return_value = obj
r = self.app.get("/{}/redbull.png".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/png")
self.assertEqual(Image(blob=r.data).format, 'PNG')
@mock.patch('giraffe.s3')
def test_png_exists_but_needs_format_as_jpg(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("png")
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/redbull.png?fm=jpg".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/jpeg")
args, kwargs = s3.upload.call_args
self.assertEqual(args[0], "giraffe/redbull.jpg")
self.assertEqual(kwargs['content_type'], "image/jpeg")
self.assertEqual(Image(blob=r.data).format, 'JPEG')
@mock.patch('giraffe.s3')
def test_png_exists_but_needs_format_as_jpeg(self, s3):
# yep, if someone uses "fm=jpeg" instead of "fm=jpg" it should still work
obj = mock.Mock()
obj.content = self.image.make_blob("png")
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/redbull.png?fm=jpeg".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/jpeg")
self.assertEqual(Image(blob=r.data).format, 'JPEG')
@mock.patch('giraffe.s3')
def test_png_exists_but_needs_to_be_resized(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("png")
# we'll call s3.get twice, the first time we'll get the original file, the second time
# we'll be calling to check for the specific version of the object.
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/redbull.png?w=100&h=100".format(self.bucket))
self.assertEqual(r.status_code, 200)
self.assertEqual(Image(blob=r.data).size, (100, 100))
@mock.patch('giraffe.s3')
def test_png_exists_but_user_wants_unnecessary_resize(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("png")
# we'll call s3.get twice, the first time we'll get the original file, the second time
# we'll be calling to check for the specific version of the object.
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/redbull.png?w=1920&h=1080".format(self.bucket))
self.assertEqual(r.status_code, 200)
self.assertEqual(Image(blob=r.data).size, (1920, 1080))
@mock.patch('giraffe.s3')
def test_png_exists_and_has_already_been_resized(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("png")
obj2 = mock.Mock()
with self.image.clone() as img:
img.resize(100, 100)
obj2.content = img.make_blob("png")
# we'll call s3.get twice, the first time we'll get the original file, the second time
# we'll be calling to check for the specific version of the object.
s3.get.side_effect = [obj, obj2]
r = self.app.get("/{}/redbull.jpg?w=100&h=100".format(self.bucket))
self.assertEqual(r.status_code, 200)
self.assertEqual(Image(blob=r.data).size, (100, 100))
# original image as bmp:
@mock.patch('giraffe.s3')
def test_bmp_exists(self, s3):
obj = mock.Mock()
obj.content = self.image.make_blob("bmp")
obj.headers = {'content-type': 'image/bmp'}
s3.get.return_value = obj
r = self.app.get("/{}/redbull.bmp".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/bmp")
self.assertEqual(Image(blob=r.data).format, 'BMP')
@mock.patch('giraffe.s3')
def test_masquerading_gif_converted_to_jpeg(self, s3):
"""
Assuming that a user uploads a gif file but it is named "foo.jpg"
that gif can be resized but it won't resize correctly if we don't
convert the format of the file from gif to jpg.
"""
obj = mock.Mock()
self.image = Image(width=160, height=120)
obj.content = self.image.make_blob("gif")
obj.headers = {'content-type': 'image/jpeg'}
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/masquerading_gif.jpg?w=120&h=120".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/jpeg")
self.assertEqual(Image(blob=r.data).format, 'JPEG')
self.assertEqual(Image(blob=r.data).size, (120, 120))
@mock.patch('giraffe.s3')
def test_giant_image_resize(self, s3):
obj = mock.Mock()
self.image = Image(width=12402, height=8770)
obj.content = self.image.make_blob("jpg")
obj.headers = {'content-type': 'image/jpeg'}
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/giant.jpg?w=120&h=120".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/jpeg")
self.assertEqual(Image(blob=r.data).size, (120, 120))
@mock.patch('giraffe.s3')
def test_ico_masquerading_as_jpg(self, s3):
obj = mock.Mock()
image = Image(width=16, height=16)
obj.content = image.make_blob('ico')
obj.headers = {'content-type': 'image/jpeg'} # this is what S3 tells us =(
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/giant.jpg?w=64&h=64".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/jpeg")
self.assertEqual(Image(blob=r.data, format='jpeg').size, (64, 64))
@mock.patch('giraffe.s3')
def test_ico_masquerading_as_jpg_big(self, s3):
obj = mock.Mock()
image = Image(width=16, height=16)
obj.content = image.make_blob('ico')
obj.headers = {'content-type': 'image/jpeg'} # this is what S3 tells us =(
s3.get.side_effect = [obj, make_httperror(404)]
r = self.app.get("/{}/giant.jpg?w=400&h=400".format(self.bucket))
self.assertEqual(r.status_code, 200)
content_type = r.headers.get("content-type")
self.assertEqual(content_type, "image/jpeg")
self.assertEqual(Image(blob=r.data, format='jpeg').size, (400, 400))
# make text image
textimg = Image(width=w, height=h)
draw.gravity = 'center'
draw.fill_color = Color('white')
draw.text(0, 0, text)
draw(textimg)
# make text with gradient
textimg.composite_channel(channel, gradient, 'in')
# curve it
textimg.distort('arc', [120], True)
# add shadow
shadowimg = textimg.clone()
shadowimg.background_color = Color('black')
shadow(shadowimg, 100, 2, 4, 4)
# composite all
canvas = Image(width=textimg.width, height=textimg.height,
background=Color('white'))
canvas.composite(shadowimg, 0, 0)
canvas.composite(textimg, 0, 0)
canvas.save(filename='sample39.png')
gradient.destroy()
textimg.destroy()
shadowimg.destroy()
canvas.destroy()
source_to_augmented = {'/mnt/mass_2x_padding_dataset_train': '/mnt/2x_augmented_train',
'/mnt/mass_2x_padding_dataset_test': '/mnt/2x_augmented_test',
'/mnt/mass_2x_padding_dataset_val': '/mnt/2x_augmented_val'}
# In[198]:
for directory in source_to_augmented:
files = listdir(directory)
N = len(files)
for i, filepath in enumerate(files):
img = Image(filename=directory+'/'+filepath)
[name, ext] = filepath.split('.')
for t in range(5):
z = img.clone()
if t != 0:
rotate(z)
resize_shortest(z)
for tt in range(5):
new_path = '%s/%s_%i_%i.%s' % (source_to_augmented[directory], name, t, tt, ext)
n = z.clone()
random_crop(n)
n.save(filename=new_path)
print 'Done %i/%i' % (i,N)
# In[ ]:
def sliceImage(source_name,
slice_size,
slice_name,
slice_format,
binary,
chunk_size,
output_directory=".",
generate_index_file=True,
compression_quality=100):
if not os.path.exists(output_directory):
os.makedirs(output_directory)
else:
#Delete all existing files
for files in os.listdir(output_directory):
if files.startswith(slice_name):
os.remove(os.path.join(output_directory, files))
output_name = '{name}_{x}_{y}.{format}'.format(
name=slice_name,
format=slice_format,
x='{x}',
y='{y}')
info_name = '{name}.slice'.format(name=slice_name)
print('Opening image')
image = Image(filename=source_name)
slice_size = int(slice_size)
width = int(image.width)
height = int(image.height)
vertical_slices = int(math.ceil(height / slice_size))
horizontal_slices = int(math.ceil(width / slice_size))
slices = []
for x in range(0, horizontal_slices):
for y in range(0, vertical_slices):
slice = Slice(x * slice_size,
y * slice_size,
min(width - x * slice_size, slice_size),
min(height - y * slice_size, slice_size))
slice.output_name = output_name.format(x=x, y=y)
slices.append(slice)
f = open(os.path.join(output_directory, info_name), 'w')
chunk_name = '{name}_{id}.chunk'.format(name=slice_name,
id='{id}')
chunks_number = int(math.ceil(len(slices) / chunk_size));
if binary:
f.write('{width} {height} 0 {chunks} {slices}\n'.format(width=width,
height=height,
slices=len(slices),
chunks=chunks_number))
else:
f.write('{width} {height} {slices}\n'.format(width=width,
height=height,
slices=len(slices)))
index_f = None
if generate_index_file:
index_f = open(os.path.join(output_directory, 'index.idx.xml'), 'w')
index_f.write('<?xml version="1.0" encoding="UTF-8"?>\n<directory>\n')
index_f.write('\t<file><name>{0}</name></file>\n'.format(info_name))
if binary:
for i in range(0, chunks_number):
chunk_file_name = chunk_name.format(id=i)
f.write('{id} {chunk}\n'.format(id=i,
chunk=chunk_file_name))
index_f.write('\t<file><name>{0}</name></file>\n'.format(chunk_file_name))
slice_id = 0
chunk_id = -1
chunk_file_out = None
for s in slices:
cur_chunk_id = slice_id // chunk_size
if binary and cur_chunk_id != chunk_id:
chunk_id = cur_chunk_id
if chunk_file_out is not None:
chunk_file_out.close()
chunk_file_name = chunk_name.format(id=chunk_id)
chunk_file_out = open(os.path.join(output_directory, chunk_file_name), 'wb')
slice_id += 1
cropped = image.clone()
cropped.crop(s.x,
s.y,
width=s.width,
height=s.height)
cropped.compression_quality = int(compression_quality)
print('Saving: {0}'.format(s.output_name))
output_slice_name = os.path.join(output_directory, s.output_name)
cropped.save(filename=output_slice_name)
if binary:
position = chunk_file_out.tell()
size = 0
slice_file = open(output_slice_name, mode='rb')
chunk_file_out.write(slice_file.read())
slice_file.close()
size = chunk_file_out.tell() - position
f.write('{x} {y} {width} {height} {chunk} {position} {length}\n'.format(
x=s.x, y=s.y, width=s.width, height=s.height,
chunk=chunk_id, position=position, length=size
))
os.remove(output_slice_name)
else:
f.write('{x} {y} {width} {height} {name}\n'.format(
x=s.x, y=s.y, width=s.width, height=s.height,
name=s.output_name
))
if generate_index_file:
index_f.write('\t<file><name>{0}</name></file>\n'.format(s.output_name))
if generate_index_file:
index_f.write('</directory>\n')
def random_wall(real_target_filename):
name = real_target_filename
filename = name.rpartition("/")[-1]
name, _, ext = filename.rpartition(".")
target_filename = "{}/{}.2.{}".format(tempfile.gettempdir(), name, ext)
try:
#remove any existing tmp file
os.unlink(target_filename)
except OSError:
pass
if os.path.exists(target_filename):
#if source already exist, build up on it
os.system("cp %s %s" % (target_filename, real_target_filename))
print("Target file is %s" % real_target_filename )
target = None
if mime is not None:
try:
mimetype = mime.from_file(target_filename)
if "symbolic link" in mimetype:
filename = os.readlink(target_filename)
mimetype = mime.from_file(target_filename)
if "image" in mimetype:
target = Image(filename=target_filename)
except IOError:
pass
if target is None:
height = PARAMS["LINES"] * PARAMS["LINE_HEIGHT"]
do_blank_image(height, PARAMS["WIDTH"], target_filename)
target = Image(filename=target_filename)
cnt = 0
while True:
updateCB.checkPause()
if updateCB.stopRequested():
break
filename = get_next_file()
print(filename)
img = Image(filename=filename)
with img.clone() as clone:
if not PARAMS["DO_NOT_RESIZE"]:
factor = float(PARAMS["LINE_HEIGHT"])/clone.height
print("Resize image {} of a factor {}".format(filename, factor))
clone.resize(width=int(clone.width*factor), height=int(clone.height*factor))
do_polaroid_and_random_composite(target_filename, target, clone, filename)
updateCB.checkPause()
if updateCB.stopRequested():
break
updateCB.newImage(row=cnt, filename=filename)
updateCB.newFinal(target_filename)
os.system("cp %s %s" % (target_filename, real_target_filename))
cnt += 1
updateCB.checkPause()
if updateCB.stopRequested():
break
time.sleep(PARAMS["SLEEP_TIME"])
updateCB.checkPause()
if updateCB.stopRequested():
break
def process_file(user_id, new_file):
store_base = "I" + datetime.datetime.now().strftime(
'%Y-%m-%d-%H-%M-%S') + '-' + str(uuid.uuid4())
store_ext = filename_extension(new_file.filename)
original_pic = store_base + '.' + store_ext
# original_store_path = os.path.join("app\\static\\User_Images", store_base + "." + store_ext)
# new_file.save(original_store_path)
# Get the service client and upload to the s3 bucket
s3 = boto3.client('s3', region_name='us-east-1')
file_key_name = str(user_id) + '/' + original_pic
s3.upload_fileobj(new_file,
s3_bucketName,
file_key_name,
ExtraArgs={"ContentType": "image/jpeg"})
try:
cnx = get_db()
cursor = cnx.cursor()
# create a new tuple for the photo and store the
query = "INSERT INTO photo (user_id) VALUES (%s)"
cursor.execute(query, (user_id, ))
# get id of newly created tuple
query = "SELECT LAST_INSERT_ID()"
cursor.execute(query)
row = cursor.fetchone()
photo_id = row[0]
# store the path to the original image
query = "INSERT INTO storedphoto (filename,type_id,photo_id) VALUES (%s,%s,%s)"
cursor.execute(query, (original_pic, TYPE_ORIGINAL, photo_id))
# get the url of the upload image
url = s3.generate_presigned_url('get_object',
Params={
'Bucket': s3_bucketName,
'Key': file_key_name
})
# create thumbnail
img = Image(file=urllib.request.urlopen(url))
i = img.clone()
i.resize(80, 80)
bytes_io_file = BytesIO(i.make_blob('JPEG'))
thumbail_pic = store_base + "_thumb." + store_ext
# thumbnail_store_path = os.path.join("app\\static\\User_Images", store_base + "_thumb." + store_ext)
# i.save(filename=thumbnail_store_path)
# Get the service client and upload to the s3 bucket
s3 = boto3.client('s3', region_name='us-east-1')
file_key_name_thumb = str(user_id) + '/' + thumbail_pic
s3.upload_fileobj(bytes_io_file,
s3_bucketName,
file_key_name_thumb,
ExtraArgs={"ContentType": "image/jpeg"})
# store path to thumbnail
query = "INSERT INTO storedphoto (filename,type_id,photo_id) VALUES (%s,%s,%s)"
cursor.execute(query, (thumbail_pic, TYPE_THUMBNAIL, photo_id))
# with open(original_store_path, 'rb') as f:
# image_bytes = f.read()
di = img.clone()
df_pic = store_base + "_df." + store_ext
# df_store_path = os.path.join("app\\static\\User_Images", store_base + "_df." + store_ext)
detect_faces_and_save(di, user_id, df_pic)
query = "INSERT INTO storedphoto (filename,type_id,photo_id) VALUES (%s,%s,%s)"
cursor.execute(query, (df_pic, TYPE_FACE_DETECTED, photo_id))
cursor.close()
cnx.commit()
except Exception as e:
raise e
class Card(object):
"""Individual object containing an image and actions to manipulate it.
Posible kwargs to __init__ are filename, file, image, blob. it will load the image from there"""
def __init__(self, *args, **kwargs):
"""Init a new cards with *img* being a wand.image.Image object"""
self.img = Image(*args, **kwargs)
self.border = None
self.changed = True
self.pixmap()
def __del__(self):
self.img.destroy()
def format(self, fmt=None):
if fmt is None:
return self.img.format.lower()
else:
self.img.format = fmt
@set_changed
def resize(self, width, height, newres=300):
"""Resize this card to (*width*, *height*) inches, with a resolution of *newres*"""
self.img.transform(resize=str(int(width*newres)) + "x" + str(int(height*newres)) + "!")
self.img.reset_coords()
self.img.resolution = (newres, newres)
return newres
def width(self):
return self.img.size[0]
def height(self):
return self.img.size[1]
def reset_coords(self):
self.img.reset_coords()
@set_changed
def set_border(self, border):
"""Set a new *border* for this card"""
if self.border is not None:
self.del_border()
self.border = border
with Color(self.border.colour) as colour:
self.img.border(colour, self.border.wide, self.border.wide)
@set_changed
def crop(self, *args, **kwargs):
"""Crop this card *top*, *bottom*, *left* and *right* pixels"""
w, h = self.img.size
if "right" in kwargs:
kwargs["right"] = w - kwargs["right"]
if "bottom" in kwargs:
kwargs["bottom"] = h - kwargs["bottom"]
self.img.crop(*args, **kwargs)
self.reset_coords()
def del_border(self):
"""Remove the border of this card"""
if self.border is not None:
w = self.border.wide
self.crop(top=w, bottom=w, right=w, left=w)
self.border = None
self.changed = True
@set_changed
def trim(self, fuzz=13):
self.img.trim(fuzz=fuzz)
self.reset_coords()
def save_as(self, filename):
"""Save this card in a file named *filename*"""
self.img.save(filename = filename)
def split(self, rows, cols, separation=0):
"""Divide this cards in *rows* by *cols* cards, and returns a list"""
width, hight = self.img.size
width, hight = (int(width), int(hight))
cardWidth = (width - separation * (cols-1)) / cols
cardHight = (hight - separation * (rows-1)) / rows
res = []
for i in range(rows):
for j in range(cols):
with self.img.clone() as clon:
clon.crop(top=i*cardHight+i*separation, width=cardWidth, left=j*cardWidth+j*separation, height=cardHight)
clon.reset_coords()
res.append(Card(image=clon))
return res
@set_changed
def round_corners(self):
"""Round the corners of the card (setting them to alpha)"""
pass
def clone(self):
c = Card(image=self.img.clone())
c.border = self.border
return c
def pixmap(self):
"""Update and returns the pixmap (QPixmap) of the contained image"""
if self.changed:
self._pixmap = QPixmap(QImage.fromData(self.img.make_blob("jpg"), "jpg"))#self.img.format))
self.changed = False
return self._pixmap