Some optimazation
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cd62dd5312
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1 changed files with 33 additions and 23 deletions
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@ -1,5 +1,6 @@
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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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@ -41,13 +42,13 @@ class ImageProcessor:
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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:
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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, exiting...")
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exit()
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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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@ -56,26 +57,34 @@ class ImageProcessor:
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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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"""Saving images. Needs improvments."""
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if exif_data != None:
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if file_type == "jpg":
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image.save(f"{path}.{file_type.lower()}", quality = jpg_quality, optimize = _optimize, exif = piexif.dump(exif_data))
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elif file_type == "png":
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image.save(f"{path}.{file_type.lower()}", compress_level = png_compressing, optimize = _optimize, exif = piexif.dump(exif_data))
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else:
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input(f"Type: {file_type} not yet aviable, enter to continue...")
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else:
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if file_type == "jpg":
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image.save(f"{path}.{file_type.lower()}", quality = jpg_quality, optimize = _optimize)
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elif file_type == "png":
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image.save(f"{path}.{file_type.lower()}", compress_level = png_compressing, optimize = _optimize)
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else:
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input(f"Type: {file_type} not yet aviable, enter to continue...")
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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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@ -84,7 +93,7 @@ class ExifHandler:
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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 by Mr Finchum
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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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@ -96,10 +105,11 @@ class ExifHandler:
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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.DateTimeOriginal: user_data["date_time_original"],
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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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