from PIL import Image, ImageDraw, ImageFont, ImageEnhance
import piexif
import time
from fractions import Fraction
class ImageProcessor:
"""Functions using pillow are in here."""
def __init__(self):
pass
def open_image(self, path):
"""Open an image from path, returns image object."""
return Image.open(path)
def get_image_size(self, image):
"""Simply get image size."""
return image.size
def grayscale(self, image):
"""Change to grayscale"""
return image.convert("L")
def change_contrast(self, image, change):
enhancer = ImageEnhance.Contrast(image)
new_img = enhancer.enhance(1 + (change/100))
return new_img
def change_brightness(self, image, change):
enhancer = ImageEnhance.Brightness(image)
new_img = enhancer.enhance(1 + (change/100))
return new_img
def resize_image(self, image, percent, resample = True):
"""Resize an image by giving a percent."""
new_size = tuple(int(x * (percent / 100)) for x in image.size)
if resample:
resized_image = image.resize(new_size)
else:
resized_image = image.resize((new_size),resample=Image.Resampling.NEAREST)
return resized_image
def add_watermark(self, image, text, font_size_percentage):
# Still not happy about this function..
drawer = ImageDraw.Draw(image)
imagewidth, imageheight = image.size
margin = (imageheight / 100 ) * 2 # margin dynamic, 2% of image size
font_size = imagewidth * (font_size_percentage / 100)
try: # Try loading front, if notaviable return unmodified image
font = ImageFont.load_default(font_size)
except Exception as e:
print(f"Error {e}\nloading font for watermark, please ensure font is installed...\n")
time.sleep(0.1)
return image
c, w, textwidth, textheight, = drawer.textbbox(xy = (0, 0), text = text, font = font) # Getting text size, only need the last two values
x = imagewidth - textwidth - margin
y = imageheight - textheight - margin
# thin border
drawer.text((x-1, y), text, font = font, fill = (64, 64, 64))
drawer.text((x+1, y), text, font = font, fill = (64, 64, 64))
drawer.text((x, y-1), text, font = font, fill = (64, 64, 64))
drawer.text((x, y+1), text, font = font, fill = (64, 64, 64))
# Adding text in the desired color
drawer.text((x, y), text, font = font, fill = (255, 255, 255))
return image
def save_image(self, image, path, file_type, jpg_quality, png_compressing, optimize, exif_data):
# partly optimized by chatGPT
"""
Save an image to the specified path with optional EXIF data and optimization.
"""
file_type = file_type.lower()
save_params = {"optimize": optimize}
# Add file-specific parameters
if file_type == "jpg" or "webp":
save_params["quality"] = jpg_quality
elif file_type == "png":
save_params["compress_level"] = png_compressing
elif file_type not in ["webp", "jpg", "png"]:
input(f"Type: {file_type} is not supported. Press Enter to continue...")
return
# Add EXIF data if available
if exif_data is not None:
save_params["exif"] = piexif.dump(exif_data)
if file_type == "webp":
print("File format webp does not support all exif features, some information might get lost...\n")
time.sleep(0.1)
try:
image.save(f"{path}.{file_type}", **save_params)
except Exception as e:
print(f"Failed to save image: {e}")
class ExifHandler:
"""Function using piexif are here."""
def __init__(self):
pass
def get_exif_info(self, image):
return(piexif.load(image.info['exif']))
def build_exif_dict(self, user_data, imagesize):
"""Build a piexif-compatible EXIF dictionary from user data."""
# Mostly made by ChatGPT, some adjustment
zeroth_ifd = {
piexif.ImageIFD.Make: user_data["make"].encode("utf-8"),
piexif.ImageIFD.Model: user_data["model"].encode("utf-8"),
piexif.ImageIFD.Software: user_data["software"].encode("utf-8"),
piexif.ImageIFD.Copyright: user_data["copyright_info"].encode("utf-8"),
piexif.ImageIFD.Artist: user_data["artist"].encode("utf-8"),
piexif.ImageIFD.ImageDescription: user_data["image_description"].encode("utf-8"),
piexif.ImageIFD.XResolution: (72, 1),
piexif.ImageIFD.YResolution: (72, 1),
}
exif_ifd = {
piexif.ExifIFD.UserComment: user_data["user_comment"].encode("utf-8"),
piexif.ExifIFD.ISOSpeedRatings: int(user_data["iso"].encode("utf-8")),
piexif.ExifIFD.PixelXDimension: imagesize[0],
piexif.ExifIFD.PixelYDimension: imagesize[1],
}
if "date_time_original" in user_data:
exif_ifd[piexif.ExifIFD.DateTimeOriginal] = user_data["date_time_original"].encode("utf-8")
return {"0th": zeroth_ifd, "Exif": exif_ifd}
def deg_to_dms(self, decimal_coordinate, cardinal_directions):
"""
This function converts decimal coordinates into the DMS (degrees, minutes and seconds) format.
It also determines the cardinal direction of the coordinates.
:param decimal_coordinate: the decimal coordinates, such as 34.0522
:param cardinal_directions: the locations of the decimal coordinate, such as ["S", "N"] or ["W", "E"]
:return: degrees, minutes, seconds and compass_direction
:rtype: int, int, float, string
"""
if decimal_coordinate < 0:
compass_direction = cardinal_directions[0]
elif decimal_coordinate > 0:
compass_direction = cardinal_directions[1]
else:
compass_direction = ""
degrees = int(abs(decimal_coordinate))
decimal_minutes = (abs(decimal_coordinate) - degrees) * 60
minutes = int(decimal_minutes)
seconds = Fraction((decimal_minutes - minutes) * 60).limit_denominator(100)
return degrees, minutes, seconds, compass_direction
def dms_to_exif_format(self, dms_degrees, dms_minutes, dms_seconds):
"""
This function converts DMS (degrees, minutes and seconds) to values that can
be used with the EXIF (Exchangeable Image File Format).
:param dms_degrees: int value for degrees
:param dms_minutes: int value for minutes
:param dms_seconds: fractions.Fraction value for seconds
:return: EXIF values for the provided DMS values
:rtype: nested tuple
"""
exif_format = (
(dms_degrees, 1),
(dms_minutes, 1),
(int(dms_seconds.limit_denominator(100).numerator), int(dms_seconds.limit_denominator(100).denominator))
)
return exif_format
def add_geolocation_to_exif(self, exif_data, latitude, longitude):
"""
https://stackoverflow.com/questions/77015464/adding-exif-gps-data-to-jpg-files-using-python-and-piexif
This function adds GPS values to an image using the EXIF format.
This fumction calls the functions deg_to_dms and dms_to_exif_format.
:param image_path: image to add the GPS data to
:param latitude: the north–south position coordinate
:param longitude: the east–west position coordinate
"""
# converts the latitude and longitude coordinates to DMS
latitude_dms = self.deg_to_dms(latitude, ["S", "N"])
longitude_dms = self.deg_to_dms(longitude, ["W", "E"])
# convert the DMS values to EXIF values
exif_latitude = self.dms_to_exif_format(latitude_dms[0], latitude_dms[1], latitude_dms[2])
exif_longitude = self.dms_to_exif_format(longitude_dms[0], longitude_dms[1], longitude_dms[2])
try:
# https://exiftool.org/TagNames/GPS.html
# Create the GPS EXIF data
coordinates = {
piexif.GPSIFD.GPSVersionID: (2, 0, 0, 0),
piexif.GPSIFD.GPSLatitude: exif_latitude,
piexif.GPSIFD.GPSLatitudeRef: latitude_dms[3],
piexif.GPSIFD.GPSLongitude: exif_longitude,
piexif.GPSIFD.GPSLongitudeRef: longitude_dms[3]
}
# Update the EXIF data with the GPS information
exif_data["GPS"] = coordinates
return exif_data
except Exception as e:
print(f"Error: {str(e)}")