def sharper(path, sharper):
try:
img = Image.open(path)
img.filter(ImageFilter.SHARPEN()).show()
click.secho("Image processed sucesfully!", fg="green", bold=True)
except Exception as e:
print(e)
def Open_Image():
global img, SAVED
root.filename = filedialog.askopenfilename()
if root.filename:
img = Image.open(root.filename)
img = img.filter(ImageFilter.SHARPEN())
img = img.resize((root.winfo_screenwidth(), root.winfo_screenheight()))
LAYERS_DICT.update({'image': img})
canvas.image_tk = ImageTk.PhotoImage(img)
image_id = LAYERS_DICT['canvas'].create_image(0, 0, anchor="nw")
LAYERS_DICT['canvas'].itemconfigure(image_id, image=canvas.image_tk)
LAYERS_DICT.update({'img': image_id})
root.title(f'Shape Editor • {str(root.filename)} •')
SAVED = True
def imgenhance(imgpath):
img = Image.open(imgpath).convert("L")
img = img.filter(ImageFilter.SHARPEN())
enhancer = ImageEnhance.Brightness(img)
out = enhancer.enhance(1.8)
nx, ny = out.size
print("imagesize:", nx, ny)
out = out.resize((int(nx * 1.5), int(ny * 1.5)), Image.ANTIALIAS)
print("size:", out.size)
out.save("/home/caratred/copy/passport/Cleaned1.jpeg", quality=94)
text = pytesseract.image_to_string(
Image.open('/home/caratred/copy/passport/Cleaned1.jpeg'))
os.remove('/home/caratred/copy/passport/Cleaned1.jpeg')
extract = text.split('\n')
print(extract)
return extract
def imgenhance(imgpath):
img = Image.open(imgpath).convert("L") #.histogram()
img = img.filter(ImageFilter.SHARPEN())
enhancer = ImageEnhance.Contrast(img)
out = enhancer.enhance(0.3)
enhancer = ImageEnhance.Brightness(out)
out = enhancer.enhance(2.0)
nx, ny = out.size
# print("imagesize:",nx,ny)
out = out.resize((int(nx * 1.5), int(ny * 1.5)), Image.ANTIALIAS)
#print("size:",out.size)
out.save("/home/caratred/copy/passport/Cleaned1.jpeg", quality=94)
#out.show()
text = pytesseract.image_to_string(
Image.open("/home/caratred/copy/passport/Cleaned1.jpeg"))
print(text)
extract = text.split('\n')
print(extract)
return extract
def sharpen(input_file):
input_file = Image.open(input_file)
sharpened_image = input_file.filter(ImageFilter.SHARPEN())
sharpened_image.show()
def sharpen(pixel):
num = int(input("What is your sharpen power: "))
original_image = Image.open(input_file)
sharpened_image = original_image.filter(ImageFilter.SHARPEN(num))
sharpened_image.show()
exit()
from PIL import Image, ImageEnhance, ImageFilter
import pytesseract
image = Image.open(
'/home/caratred/Downloads/drivers/mrz1.jpeg') #.convert('L')
image = image.filter(ImageFilter.SHARPEN())
scale_value = 3.
#image = ImageEnhance.Contrast(image).enhance(scale_value)s
image = ImageEnhance.Contrast(image).enhance(1.8)
nx, ny = image.size
print("imagesize:", nx, ny)
img = image.resize((int(nx * 1.5), int(ny * 1.5)), Image.ANTIALIAS)
img.show()
img.save("/home/caratred/savepng.jpeg", quality=94)
im = Image.open("/home/caratred/savepng.jpeg")
im = im.convert('L')
for i in range(2, im.size[0] - 2):
for j in range(2, im.size[1] - 2):
b = []
if im.getpixel((i, j)) > 0 and im.getpixel((i, j)) < 255:
pass
elif im.getpixel((i, j)) == 0 or im.getpixel((i, j)) == 255:
c = 0
for p in range(i - 1, i + 2):
for q in range(j - 1, j + 2):
if im.getpixel((p, q)) == 0 or im.getpixel((p, q)) == 255:
c = c + 1
if c > 6:
c = 0
for p in range(i - 2, i + 3):
def sharpen(image: Image.Image) -> Image.Image:
return _apply_filter(image, ImageFilter.SHARPEN())
def __call__(self, img):
if random.random() < self.p:
img = img.filter(ImageFilter.SHARPEN())
return img