302 lines
9.0 KiB
Python
302 lines
9.0 KiB
Python
#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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"""
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Image module for Inkycal Project
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Copyright by aceisace
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"""
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from inkycal.modules.template import inkycal_module
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from inkycal.custom import *
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from PIL import ImageOps
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import requests
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import numpy
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filename = os.path.basename(__file__).split('.py')[0]
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logger = logging.getLogger(filename)
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class Inkyimage(inkycal_module):
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"""Image class
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display an image from a given path or URL
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"""
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name = "Inykcal Image - show an image from a URL or local path"
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requires = {
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'path': {
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"label":"Please enter the full path of the image file (local or URL)",
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}
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}
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optional = {
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'rotation':{
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"label":"Specify the angle to rotate the image. Default is 0",
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"options": [0, 90, 180, 270, 360, "auto"],
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"default":0,
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},
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'layout':{
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"label":"How should the image be displayed on the display? Default is auto",
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"options": ['fill', 'center', 'fit', 'auto'],
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"default": "auto"
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}
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}
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def __init__(self, config):
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"""Initialize inkycal_rss module"""
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super().__init__(config)
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config = config['config']
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# required parameters
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for param in self.requires:
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if not param in config:
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raise Exception('config is missing {}'.format(param))
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# optional parameters
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self.image_path = self.config['path']
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self.rotation = self.config['rotation']
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self.layout = self.config['layout']
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# give an OK message
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print('{0} loaded'.format(self.name))
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def _validate(self):
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"""Validate module-specific parameters"""
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# Validate image_path
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if not isinstance(self.image_path, str):
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print(
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'image_path has to be a string: "URL1" or "/home/pi/Desktop/im.png"')
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# Validate layout
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if not isinstance(self.layout, str):
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print('layout has to be a string')
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def generate_image(self):
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"""Generate image for this module"""
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# Define new image size with respect to padding
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im_width = self.width
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im_height = self.height
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im_size = im_width, im_height
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logger.info('image size: {} x {} px'.format(im_width, im_height))
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# Try to open the image if it exists and is an image file
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try:
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if self.image_path.startswith('http'):
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logger.debug('identified url')
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self.image = Image.open(requests.get(self.image_path, stream=True).raw)
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else:
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logger.info('identified local path')
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self.image = Image.open(self.image_path)
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except FileNotFoundError:
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raise ('Your file could not be found. Please check the filepath')
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except OSError:
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raise ('Please check if the path points to an image file.')
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logger.debug(('image-width:', self.image.width))
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logger.debug(('image-height:', self.image.height))
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# Create an image for black pixels and one for coloured pixels
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im_black = Image.new('RGB', size = im_size, color = 'white')
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im_colour = Image.new('RGB', size = im_size, color = 'white')
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# do the required operations
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self._remove_alpha()
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self._to_layout()
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black, colour = self._map_colours()
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# paste the images on the canvas
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im_black.paste(black, (self.x, self.y))
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im_colour.paste(colour, (self.x, self.y))
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# Save images of black and colour channel in image-folder
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im_black.save(images+self.name+'.png', 'PNG')
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im_colour.save(images+self.name+'_colour.png', 'PNG')
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def _rotate(self, angle=None):
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"""Rotate the image to a given angle
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angle must be one of :[0, 90, 180, 270, 360, 'auto']
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"""
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im = self.image
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if angle == None:
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angle = self.rotation
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# Check if angle is supported
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if angle not in self._allowed_rotation:
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print('invalid angle provided, setting to fallback: 0 deg')
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angle = 0
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# Autoflip the image if angle == 'auto'
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if angle == 'auto':
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if (im.width > self.height) and (im.width < self.height):
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print('display vertical, image horizontal -> flipping image')
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image = im.rotate(90, expand=True)
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if (im.width < self.height) and (im.width > self.height):
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print('display horizontal, image vertical -> flipping image')
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image = im.rotate(90, expand=True)
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# if not auto, flip to specified angle
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else:
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image = im.rotate(angle, expand = True)
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self.image = image
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def _fit_width(self, width=None):
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"""Resize an image to desired width"""
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im = self.image
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if width == None: width = self.width
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logger.debug(('resizing width from', im.width, 'to'))
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wpercent = (width/float(im.width))
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hsize = int((float(im.height)*float(wpercent)))
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image = im.resize((width, hsize), Image.ANTIALIAS)
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logger.debug(image.width)
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self.image = image
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def _fit_height(self, height=None):
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"""Resize an image to desired height"""
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im = self.image
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if height == None: height = self.height
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logger.debug(('resizing height from', im.height, 'to'))
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hpercent = (height / float(im.height))
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wsize = int(float(im.width) * float(hpercent))
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image = im.resize((wsize, height), Image.ANTIALIAS)
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logger.debug(image.height)
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self.image = image
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def _to_layout(self, mode=None):
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"""Adjust the image to suit the layout
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mode can be center, fit or fill"""
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im = self.image
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if mode == None: mode = self.layout
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if mode not in self._allowed_layout:
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print('{} is not supported. Should be one of {}'.format(
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mode, self._allowed_layout))
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print('setting layout to fallback: centre')
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mode = 'center'
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# If mode is center, just center the image
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if mode == 'center':
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pass
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# if mode is fit, adjust height of the image while keeping ascept-ratio
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if mode == 'fit':
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self._fit_height()
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# if mode is fill, enlargen or shrink the image to fit width
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if mode == 'fill':
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self._fit_width()
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# in auto mode, flip image automatically and fit both height and width
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if mode == 'auto':
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# Check if width is bigger than height and rotate by 90 deg if true
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if im.width > im.height:
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self._rotate(90)
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# fit both height and width
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self._fit_height()
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self._fit_width()
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if self.image.width > self.width:
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x = int( (self.image.width - self.width) / 2)
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else:
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x = int( (self.width - self.image.width) / 2)
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if self.image.height > self.height:
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y = int( (self.image.height - self.height) / 2)
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else:
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y = int( (self.height - self.image.height) / 2)
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self.x, self.y = x, y
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def _remove_alpha(self):
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im = self.image
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if len(im.getbands()) == 4:
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logger.debug('removing transparency')
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bg = Image.new('RGBA', (im.width, im.height), 'white')
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im = Image.alpha_composite(bg, im)
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self.image.paste(im, (0,0))
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def _map_colours(self, colours = None):
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"""Map image colours to display-supported colours """
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im = self.image.convert('RGB')
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if colours == 'bw':
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# For black-white images, use monochrome dithering
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im_black = im.convert('1', dither=True)
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im_colour = None
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elif colours == 'bwr':
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# For black-white-red images, create corresponding palette
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pal = [255,255,255, 0,0,0, 255,0,0, 255,255,255]
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elif colours == 'bwy':
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# For black-white-yellow images, create corresponding palette"""
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pal = [255,255,255, 0,0,0, 255,255,0, 255,255,255]
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# Map each pixel of the opened image to the Palette
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if colours == 'bwr' or colours == 'bwy':
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palette_im = Image.new('P', (3,1))
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palette_im.putpalette(pal * 64)
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quantized_im = im.quantize(palette=palette_im)
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quantized_im.convert('RGB')
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# Create buffer for coloured pixels
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buffer1 = numpy.array(quantized_im.convert('RGB'))
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r1,g1,b1 = buffer1[:, :, 0], buffer1[:, :, 1], buffer1[:, :, 2]
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# Create buffer for black pixels
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buffer2 = numpy.array(quantized_im.convert('RGB'))
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r2,g2,b2 = buffer2[:, :, 0], buffer2[:, :, 1], buffer2[:, :, 2]
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if colours == 'bwr':
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# Create image for only red pixels
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buffer2[numpy.logical_and(r2 == 0, b2 == 0)] = [255,255,255] # black->white
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buffer2[numpy.logical_and(r2 == 255, b2 == 0)] = [0,0,0] #red->black
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im_colour = Image.fromarray(buffer2)
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# Create image for only black pixels
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buffer1[numpy.logical_and(r1 == 255, b1 == 0)] = [255,255,255]
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im_black = Image.fromarray(buffer1)
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if colours == 'bwy':
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# Create image for only yellow pixels
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buffer2[numpy.logical_and(r2 == 0, b2 == 0)] = [255,255,255] # black->white
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buffer2[numpy.logical_and(g2 == 255, b2 == 0)] = [0,0,0] #yellow -> black
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im_colour = Image.fromarray(buffer2)
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# Create image for only black pixels
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buffer1[numpy.logical_and(g1 == 255, b1 == 0)] = [255,255,255]
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im_black = Image.fromarray(buffer1)
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return im_black, im_colour
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@staticmethod
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def save(image, path):
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im = self.image
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im.save(path, 'PNG')
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@staticmethod
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def _show(image):
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"""Preview the image on gpicview (only works on Rapsbian with Desktop)"""
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path = '/home/pi/Desktop/'
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image.save(path+'temp.png')
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os.system("gpicview "+path+'temp.png')
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os.system('rm '+path+'temp.png')
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if __name__ == '__main__':
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print('running {0} in standalone/debug mode'.format(filename))
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