201 lines
8.5 KiB
Python
201 lines
8.5 KiB
Python
from PIL import Image, ImageDraw, ImageFont, ImageEnhance
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import piexif
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import time
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from fractions import Fraction
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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_percentage):
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# Still not happy about this function..
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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_percentage / 100)
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try: # Try loading front, if notaviable return unmodified image
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font = ImageFont.load_default(font_size)
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except Exception as e:
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print(f"Error {e}\nloading font for watermark, please ensure font is installed...\n")
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time.sleep(0.1)
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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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# thin border
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drawer.text((x-1, y), text, font = font, fill = (64, 64, 64))
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drawer.text((x+1, y), text, font = font, fill = (64, 64, 64))
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drawer.text((x, y-1), text, font = font, fill = (64, 64, 64))
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drawer.text((x, y+1), text, font = font, fill = (64, 64, 64))
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# Adding text in the desired color
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drawer.text((x, y), text, font = font, fill = (255, 255, 255))
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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):
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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" or "webp":
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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"].encode("utf-8"),
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piexif.ImageIFD.Model: user_data["model"].encode("utf-8"),
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piexif.ImageIFD.Software: user_data["software"].encode("utf-8"),
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piexif.ImageIFD.Copyright: user_data["copyright_info"].encode("utf-8"),
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piexif.ImageIFD.Artist: user_data["artist"].encode("utf-8"),
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piexif.ImageIFD.ImageDescription: user_data["image_description"].encode("utf-8"),
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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"].encode("utf-8"),
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piexif.ExifIFD.ISOSpeedRatings: int(user_data["iso"].encode("utf-8")),
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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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def deg_to_dms(self, decimal_coordinate, cardinal_directions):
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"""
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This function converts decimal coordinates into the DMS (degrees, minutes and seconds) format.
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It also determines the cardinal direction of the coordinates.
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:param decimal_coordinate: the decimal coordinates, such as 34.0522
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:param cardinal_directions: the locations of the decimal coordinate, such as ["S", "N"] or ["W", "E"]
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:return: degrees, minutes, seconds and compass_direction
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:rtype: int, int, float, string
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"""
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if decimal_coordinate < 0:
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compass_direction = cardinal_directions[0]
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elif decimal_coordinate > 0:
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compass_direction = cardinal_directions[1]
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else:
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compass_direction = ""
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degrees = int(abs(decimal_coordinate))
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decimal_minutes = (abs(decimal_coordinate) - degrees) * 60
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minutes = int(decimal_minutes)
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seconds = Fraction((decimal_minutes - minutes) * 60).limit_denominator(100)
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return degrees, minutes, seconds, compass_direction
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def dms_to_exif_format(self, dms_degrees, dms_minutes, dms_seconds):
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"""
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This function converts DMS (degrees, minutes and seconds) to values that can
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be used with the EXIF (Exchangeable Image File Format).
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:param dms_degrees: int value for degrees
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:param dms_minutes: int value for minutes
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:param dms_seconds: fractions.Fraction value for seconds
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:return: EXIF values for the provided DMS values
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:rtype: nested tuple
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"""
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exif_format = (
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(dms_degrees, 1),
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(dms_minutes, 1),
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(int(dms_seconds.limit_denominator(100).numerator), int(dms_seconds.limit_denominator(100).denominator))
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)
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return exif_format
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def add_geolocation_to_exif(self, exif_data, latitude, longitude):
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"""
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https://stackoverflow.com/questions/77015464/adding-exif-gps-data-to-jpg-files-using-python-and-piexif
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This function adds GPS values to an image using the EXIF format.
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This fumction calls the functions deg_to_dms and dms_to_exif_format.
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:param image_path: image to add the GPS data to
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:param latitude: the north–south position coordinate
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:param longitude: the east–west position coordinate
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"""
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# converts the latitude and longitude coordinates to DMS
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latitude_dms = self.deg_to_dms(latitude, ["S", "N"])
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longitude_dms = self.deg_to_dms(longitude, ["W", "E"])
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# convert the DMS values to EXIF values
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exif_latitude = self.dms_to_exif_format(latitude_dms[0], latitude_dms[1], latitude_dms[2])
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exif_longitude = self.dms_to_exif_format(longitude_dms[0], longitude_dms[1], longitude_dms[2])
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try:
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# https://exiftool.org/TagNames/GPS.html
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# Create the GPS EXIF data
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coordinates = {
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piexif.GPSIFD.GPSVersionID: (2, 0, 0, 0),
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piexif.GPSIFD.GPSLatitude: exif_latitude,
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piexif.GPSIFD.GPSLatitudeRef: latitude_dms[3],
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piexif.GPSIFD.GPSLongitude: exif_longitude,
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piexif.GPSIFD.GPSLongitudeRef: longitude_dms[3]
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}
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# Update the EXIF data with the GPS information
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exif_data["GPS"] = coordinates
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return exif_data
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except Exception as e:
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print(f"Error: {str(e)}")
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