Cleaner structure
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033a021db7
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9 changed files with 11 additions and 5 deletions
0
utils/__init__.py
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utils/__init__.py
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115
utils/image_handler.py
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utils/image_handler.py
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from PIL import Image, ImageDraw, ImageFont, ImageEnhance
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import piexif
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import time
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class ImageProcessor:
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"""Functions using pillow are in here."""
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def __init__(self):
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pass
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def open_image(self, path):
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"""Open an image from path, returns image object."""
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return Image.open(path)
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def get_image_size(self, image):
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"""Simply get image size."""
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return image.size
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def grayscale(self, image):
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"""Change to grayscale"""
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return image.convert("L")
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def change_contrast(self, image, change):
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enhancer = ImageEnhance.Contrast(image)
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new_img = enhancer.enhance(1 + (change/100))
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return new_img
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def change_brightness(self, image, change):
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enhancer = ImageEnhance.Brightness(image)
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new_img = enhancer.enhance(1 + (change/100))
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return new_img
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def resize_image(self, image, percent, resample = True):
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"""Resize an image by giving a percent."""
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new_size = tuple(int(x * (percent / 100)) for x in image.size)
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if resample:
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resized_image = image.resize(new_size)
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else:
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resized_image = image.resize((new_size),resample=Image.Resampling.NEAREST)
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return resized_image
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def add_watermark(self, image, text, font_size_scale = 70):
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drawer = ImageDraw.Draw(image)
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imagewidth, imageheight = image.size
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margin = (imageheight / 100 ) * 2 # margin dynamic, 2% of image size
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font_size = imagewidth / font_size_scale # Scaling the font size
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try: # Try loading front, if notaviable return unmodified image
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font = ImageFont.truetype("OpenDyslexic3-Regular.ttf", font_size)
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except:
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print("Error loading font for watermark, please ensure font is installed...\n")
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time.sleep(0.3)
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return image
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c, w, textwidth, textheight, = drawer.textbbox(xy = (0, 0), text = text, font = font) # Getting text size, only need the last two values
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x = imagewidth - textwidth - margin
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y = imageheight - textheight - margin
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drawer.text((x, y), text, font = font)
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return image
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def save_image(self, image, path, file_type, jpg_quality, png_compressing, optimize, exif_data = None):
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# partly optimized by chatGPT
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"""
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Save an image to the specified path with optional EXIF data and optimization.
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"""
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file_type = file_type.lower()
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save_params = {"optimize": optimize}
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# Add file-specific parameters
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if file_type == "jpg":
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save_params["quality"] = jpg_quality
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elif file_type == "png":
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save_params["compress_level"] = png_compressing
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elif file_type not in ["webp", "jpg", "png"]:
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input(f"Type: {file_type} is not supported. Press Enter to continue...")
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return
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# Add EXIF data if available
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if exif_data is not None:
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save_params["exif"] = piexif.dump(exif_data)
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if file_type == "webp":
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print("File format webp does not support all exif features, some information might get lost...\n")
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time.sleep(0.1)
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try:
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image.save(f"{path}.{file_type}", **save_params)
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except Exception as e:
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print(f"Failed to save image: {e}")
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class ExifHandler:
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"""Function using piexif are here."""
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def __init__(self):
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pass
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def get_exif_info(self, image):
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return(piexif.load(image.info['exif']))
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def build_exif_dict(self, user_data, imagesize):
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"""Build a piexif-compatible EXIF dictionary from user data."""
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# Mostly made by ChatGPT, some adjustment
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zeroth_ifd = {
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piexif.ImageIFD.Make: user_data["make"],
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piexif.ImageIFD.Model: user_data["model"],
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piexif.ImageIFD.Software: user_data["software"],
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piexif.ImageIFD.Copyright: user_data["copyright_info"],
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piexif.ImageIFD.Artist: user_data["artist"],
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piexif.ImageIFD.ImageDescription: user_data["image_description"],
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piexif.ImageIFD.XResolution: (72, 1),
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piexif.ImageIFD.YResolution: (72, 1),
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}
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exif_ifd = {
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piexif.ExifIFD.UserComment: user_data["user_comment"],
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piexif.ExifIFD.ISOSpeedRatings: int(user_data["iso"]),
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piexif.ExifIFD.PixelXDimension: imagesize[0],
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piexif.ExifIFD.PixelYDimension: imagesize[1],
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}
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if "date_time_original" in user_data:
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exif_ifd[piexif.ExifIFD.DateTimeOriginal] = user_data["date_time_original"].encode("utf-8")
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return {"0th": zeroth_ifd, "Exif": exif_ifd}
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47
utils/utility.py
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utils/utility.py
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import yaml
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class Utilities:
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def __init__(self):
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pass
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def read_yaml(self, yaml_file):
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try:
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with open(yaml_file, "r") as file:
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data = yaml.safe_load(file)
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return data
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except (FileNotFoundError, PermissionError) as e:
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print(f"Error loading settings file: {e}")
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return
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def write_yaml(self, yaml_file, data):
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try:
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with open(yaml_file, "w") as file:
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yaml.dump(data, file)
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except PermissionError as e:
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print(f"Error saving setings: {e}")
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def yes_no(self, str):
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"""Ask user y/n question"""
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while True:
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choice = input(f"{str} (y/n): ")
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if choice == "y":
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return True
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elif choice == "n":
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return False
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else:
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print("Not a valid option, try again.")
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def progress_bar(self, current, total, barsize = 50):
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if current > total:
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print("\033[91mThis bar has exceeded its limits!\033[0m Maybe the current value needs some restraint?")
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print(f"{(current - total) * '\033[92mHonk, Honk!\033[0m '}")
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return
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progress = int((barsize / total) * current)
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rest = barsize - progress
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if rest <= 2: rest = 0
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# Determine the number of digits in total
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total_digits = len(str(total))
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# Format current with leading zeros
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current_formatted = f"{current:0{total_digits}}"
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print(f"{current_formatted}|{progress * '-'}>{rest * ' '}|{total}", end="\r")
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if current == total: print("")
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