Updated for new driver files
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# -*- coding: utf-8 -*-
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"""
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Experimental image module for Inky-Calendar software
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Displays an image on the E-Paper. Currently only supports black and white
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Displays an image on the E-Paper. Work in progress!
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Copyright by aceisace
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"""
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from __future__ import print_function
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from PIL import Image
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from configuration import *
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import os
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from os import path
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from PIL import ImageOps
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import requests
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import numpy
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import inkycal_drivers as drivers
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"""----------------------------------------------------------------"""
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#path = 'https://github.com/aceisace/Inky-Calendar/raw/master/Gallery/Inky-Calendar-logo.png'
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path ='/home/pi/Inky-Calendar/images/canvas.png'
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mode = 'auto' # 'horizontal' # 'vertical' # 'auto'
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upside_down = True # Flip image by 180 deg (upside-down)
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alignment = 'center' # top_center, top_left, center_left, bottom_right etc.
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colours = 'bwr' # bwr # bwy # bw
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render = True # show image on E-Paper?
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"""----------------------------------------------------------------"""
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display = drivers.EPD()
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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 'http' in path:
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im = Image.open(requests.get(path, stream=True).raw)
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else:
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im = Image.open(path)
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except FileNotFoundError:
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print('Your file could not be found. Please check the path to your file.')
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raise
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except OSError:
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print('Please check if the path points to an image file.')
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raise
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# Where is the image?
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path = '/home/pi//Desktop/test.JPG'
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"""Turn image upside-down if specified"""
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if upside_down == True:
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im.rotate(180, expand = True)
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class inkycal_image:
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if mode == 'horizontal':
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display_width, display_height == display_height, display_width
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def __init__(self, path):
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self.image = Image.open(path)
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self.im_width = self.image.width
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self.im_height = self.image.height
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if mode == 'vertical':
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pass
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def check_mode(self):
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if self.image.mode != 'RGB' or 'L' or '1':
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print('Image mode not supported, converting')
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self.image = self.image.convert('RGB')
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if mode == 'auto':
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if (im.width > im.height) and (display_width < display_height):
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print('display vertical, image horizontal -> flipping image')
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im = im.rotate(90, expand=True)
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if (im.width < im.height) and (display_width > display_height):
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print('display horizontal, image vertical -> flipping image')
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im = im.rotate(90, expand=True)
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def preview(self):
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self.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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def fit_width(image, width):
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"""Resize an image to desired width"""
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print('resizing width from', image.width, 'to', end = ' ')
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wpercent = (display_width/float(image.width))
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hsize = int((float(image.height)*float(wpercent)))
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img = image.resize((width, hsize), Image.ANTIALIAS)
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print(img.width)
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return img
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def check_size(self, alignment = 'middle', padding_colour='white'):
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if display_height < self.im_height or display_width < self.im_width:
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print('Image too large for the display, cropping image')
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if alignment == 'middle' or None:
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x1 = int((self.im_width - display_width) / 2)
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y1 = int((self.im_height - display_height) / 2)
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x2,y2 = x1+display_width, y1+display_height
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self.image = self.image.crop((x1,y1,x2,y2))
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if alignment != 'middle' or None:
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print('Sorry, this feature has not been implemented yet')
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raise NotImplementedError
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def fit_height(image, height):
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"""Resize an image to desired height"""
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print('resizing height from', image.height, 'to', end = ' ')
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hpercent = (height / float(image.height))
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wsize = int(float(image.width) * float(hpercent))
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img = image.resize((wsize, height), Image.ANTIALIAS)
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print(img.height)
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return img
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elif display_height > self.im_height and display_width > self.im_width:
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print('Image smaller than display, shifting image to center')
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x = int( (display_width - self.im_width) /2)
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y = int( (display_height - self.im_height) /2)
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canvas = Image.new('RGB', (display_width, display_height), color=padding_colour)
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canvas.paste(self.image, (x,y))
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self.image = canvas
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if im.width > display_width:
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im = fit_width(im, display_width)
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if im.height > display_height:
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im = fit_height(im, display_height)
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else:
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print('Image file exact. no further action required')
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if alignment == 'center':
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x,y = int((display_width-im.width)/2), int((display_height-im.height)/2)
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elif alignment == 'center_right':
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x, y = display_width-im.width, int((display_height-im.height)/2)
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elif alignment == 'center_left':
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x, y = 0, int((display_height-im.height)/2)
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def auto_flip(self):
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if self.im_height < self.im_width:
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print('rotating image')
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self.image = self.image.rotate(270, expand=True)
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self.im_width = self.image.width
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self.im_height = self.image.height
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def to_mono(self):
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self.image = self.image.convert('1', dither=True)
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elif alignment == 'top_center':
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x, y = int((display_width-im.width)/2), 0
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elif alignment == 'top_right':
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x, y = display_width-im.width, 0
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elif alignment == 'top_left':
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x, y = 0, 0
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def prepare_image(self, alignment='middle'):
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self.check_mode()
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self.auto_flip()
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self.check_size(alignment = alignment)
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self.to_mono()
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elif alignment == 'bottom_center':
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x, y = int((display_width-im.width)/2), display_height-im.height
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elif alignment == 'bottom_right':
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x, y = display_width-im.width, display_height-im.height
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elif alignment == 'bottom_left':
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x, y = display_width-im.width, display_height-im.height
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return self.image
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if len(im.getbands()) == 4:
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print('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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#single line command:
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display.show_image(inkycal_image(path).prepare_image(), reduce_colours=False)
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image.paste(im, (x,y))
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im = image
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if colours == 'bw':
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"""For black-white images, use monochrome dithering"""
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black = im.convert('1', dither=True)
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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 != 'bw':
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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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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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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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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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black = Image.fromarray(buffer1)
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if render == True:
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epaper = driver.EPD()
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print('Initialising E-Paper...', end = '')
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epaper.init()
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print('Done')
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print('Sending image data and refreshing display...', end='')
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if three_colour_support == True:
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epaper.display(epaper.getbuffer(black), epaper.getbuffer(colour))
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else:
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epaper.display(epaper.getbuffer(black))
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print('Done')
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print('Sending E-Paper to deep sleep...', end = '')
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epaper.sleep()
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print('Done')
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