Re: [casetta] 3-Color version of the function img_to_basic |
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Hello,
I've corrected some bugs in the img_to_basic function and I was able to get this working with a 3-color picture.
However, the function has still lots of restrictions, I mean :
It works only with :
- 24bits picture WITHOUT ALPHA CANAL(RGB)
- Only 3 colors or less : Black or any another color wich will be displayed as blue, Green (0,128,0) Orange (255,128,0).
For the restrictions, maybe your normalize function in pictures.py could "filter" a picture and get it working with my function, I have to check.
Maybe, It would be good to write a normalize function for black and white calculators such as Graph35+/100+...
See attachments for a new version of the function (pictures.py), a new script to test this function (test_img_to_basic.py, to get this stuff working, you have to put my new pictures.py in your casetta module path) and an image I succeded to get on my casio calculator (tux2.png).
I hope this will help !
# -*- coding: utf-8 -*- # ############################################################################ # # (c) 2006 Florian Birée aka Thesa <florian.biree@xxxxxxxxxxx> # (c) 2006 Achraf Cherti aka Asher256 <achrafcherti@xxxxxxxxx> # function img_to_basic is (c) 2007 Xion345 aka Fabien ANDRE # <fabien.andre.g@xxxxxxxxxx> # # Website: <URL:http://casetta.tuxfamily.org> # # Version 0.3.0 # # changelog: # # # 0.3.0 version: # # o First release # ############################################################################ # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, # MA 02110-1301, USA. # # http://www.gnu.org/copyleft/gpl.html # ############################################################################ """Pictures manager for casetta""" __author__ = "Florian Birée, Achraf Cherti" __version__ = "0.3.0" __copyright__ = "Copyright (c) 2006, Florian Birée, Achraf Cherti" __license__ = "GPL" __revision__ = "$Revision: $" # $Source: $ __date__ = "$Date: $" import Image import os import data as datacls # Constants: ORANGE = (255, 128, 0) GREEN = (0, 128, 0) BLUE = (0, 0, 128) WHITE = (255, 255, 255) CASIO_SIZE = (128, 64) COLORS = (ORANGE, GREEN, BLUE, WHITE) _COLOR_DIC = {'o' : ORANGE, 'g' : GREEN, 'b' : BLUE, 'w' : WHITE} DEFAULT_PALLET = ['b', 'g', 'w', 'o'] # Conversion functions def normalize(image, colors=COLORS): """Convert an image object in a casio-like format. This will: resize image to 128x64 convert color to 4-color mode return a data list. pal is a 4-color tuple. """ image = image.resize(CASIO_SIZE, Image.ANTIALIAS) data = list(image.getdata()) out = [] # color conversion for pixel in data: red, green, blue = pixel[0], pixel[1], pixel[2] if red > green and red > blue: pixel = colors[0] # orange elif green > red and green > blue: pixel = colors[1] # green elif blue > green and blue > red: pixel = colors[2] # blue elif red == green and red > blue: pixel = colors[1] # green elif green == blue and green > red: pixel = colors[2] # blue elif red == blue and red > green: pixel = colors[2] # blue elif (red, green, blue) == (255, 255, 255): pixel = colors[3] # white elif (red, green, blue) == (0, 0, 0): pixel = colors[2] # blue out.append(pixel) return out def data_to_sheets(data, wanted_pallet=DEFAULT_PALLET): """Make raw picture sheets from *normalized* data wanted_pallet is a list of color id as 'b', 'g', 'w' or 'o' Return a list of data sheets, sorted as wanted_pallet, with the color byte at 0.""" sheets = [] for color_id in wanted_pallet : color = _COLOR_DIC[color_id] rev_sheet = '0' * (128 * 64) for index in range(len(data)): if data[index] == color: line = index / 128 col = (index % 128) / 8 car = (index % 128) % 8 pos = car + line * 8 + col * (8 * 64) rev_sheet = rev_sheet[:pos] + '1' + rev_sheet[pos + 1:] # reverse and compact the rev_sheet sheet = '' for index in range(0, len(data), 8): car = chr(int(rev_sheet[index : index + 8], 2)) sheet = car + sheet sheets.append(chr(wanted_pallet.index(color_id) + 1) + sheet) return sheets def sheets_to_raw(sheets, headers = None): """Join sheets to make raw data The function can add a sheet header form the headers list (one string by sheet). """ raw_img = '' for index in range(len(sheets)): if headers != None: raw_img += headers[index] raw_img += sheets[index] return raw_img def data_to_raw(data, wanted_pallet=DEFAULT_PALLET, headers = None): """Work as sheets_to_raw(data_to_sheets(data)), with same arguments""" return sheets_to_raw(data_to_sheets(data, wanted_pallet), headers) def raw_to_data(raw_picture, color_byte=0, pal=DEFAULT_PALLET, \ colors=COLORS, background=WHITE): """Make image data from a raw picture colors is a 4-color tuple, color_byte is the index of the color_byte (last byte of a sheet header) pal is the ordoned list of the color corresponding to each sheet background is the default color of a pixel.""" #make color dic: color_dic = { 'o' : colors[0], 'g' : colors[1], 'b' : colors[2], 'w' : colors[3]} #extract raw sheets from raw_picture raw_sheets = [] sh_len = 0x400 + color_byte + 1 for index in range(len(pal)): offset = index * sh_len raw_sheets.append(raw_picture[offset: offset + sh_len]) #convert raw sheets to list data data = [background] * (CASIO_SIZE[0] * CASIO_SIZE[1]) for raw_sheet in raw_sheets: color = ord(raw_sheet[color_byte]) - 1 raw_sheet = raw_sheet[color_byte + 1:] for index in range(len(raw_sheet)): byte = bin(ord(raw_sheet[index])) col, line = (15 - ((index) / 64)) * 8, 63 - ((index) % 64) data_pos = line * 128 + (col ) for bit_index in range(len(byte)): if byte[bit_index] == '1': bit_pos = data_pos + bit_index data[bit_pos] = color_dic[pal[color]] return data def raw_to_sheets(raw_picture, color_byte = 0, sheet_number = 4): """Split raw data into sheets""" raw_sheets = [] sh_len = 0x400 + color_byte + 1 for index in range(sheet_number): offset = index * sh_len raw_sheets.append(raw_picture[offset + color_byte: offset + sh_len]) return raw_sheets def change_sheets_pallet(sheets, old_pallet, new_pallet): """Resort sheets from old_pallet to new_pallet If a collor in new_pallet is not in old_pallet, a empty sheet will be made for this color. """ sheet_dic = {} for index in range(len(old_pallet)): sheet_dic[old_pallet[index]] = sheets[index][1:] new_sheets = [] for index in range(len(new_pallet)): new_sheets.append(chr(index + 1) + sheet_dic.get(new_pallet[index], \ '\x00' * (16 * 64))) return new_sheets # File format management functions def open_img(filename): """Open an image in any PIL-managed format, return a filedata""" # Build the FileData file_data = datacls.FileData() new_index = file_data.new_data() # Write metadata file_data[new_index].name = 'Picture1' file_data[new_index].dType = 'picture' file_data[new_index].pallet = DEFAULT_PALLET file_data[new_index].color_byte = 0 # Write data img = Image.open(filename) file_data.data[new_index].raw_data = data_to_raw(normalize(img), \ DEFAULT_PALLET) return file_data def save(filename, file_data, export=False): """Save a picture""" folder = os.path.dirname(filename) ext = os.path.splitext(filename)[1] # For each data if export: index_list = file_data.export else: index_list = range(len(file_data.data)) for data in [file_data.data[index] for index in index_list]: if data.dType == 'picture' or data.dType == 'screencapture' : # make a filename from the name if len(index_list) == 1 and os.path.basename(filename) != '': # try to use filename as name data_filename = filename else: data_filename = os.path.join(folder, data.name + ext) # write data img = Image.new('RGB', CASIO_SIZE) img.putdata(raw_to_data(data.raw_data, data.color_byte, data.pallet)) img.save(data_filename) # Misc functions def bin(number, total_length = 8): """Convert a number in binary, filled with 0 to reach total_length.""" out = '' while number != 0: number, out = number >> 1, `number & 1` + out out = '0' * (total_length - len(out)) + out return out # This function is a contribution of Xion345 aka Fabien ANDRE. # Xion345, thank you! def img_to_basic(imagen, colors = COLORS): """Convert a *normalized* image into a Casio Basic program This function only returns Horinzontal F-line. It may not be really optimised for size """ orange, green, blue, white = colors program_header = "\Cls\n\ViewWindow 0,127,1,0,63,1\n" # Splits the BIG list given by normalize into a list of list # in order to have a table of 128 columns per 64 lines pictureTable = [] numberLine = 0 basicPicture = '' # A picture under the form of a basic program / Returned # by the function line = 0 while numberLine < 64: pictureTable.append(imagen[numberLine*128:((numberLine+1)*128)]) numberLine += 1 #print len(pictureTable) while line <= 63: #print "Ligne :", line col = 0 currentColor = 0 # This var contains the previously saved color orig_x = 0 orig_y = 0 end_x = 0 end_y = 0 # In fact this varible is totally unuseful because the table # is browsed line per line so end_y = orig_y. It is just used # to make my function clearer while col <= 127: #print "pixel ("+str(col)+","+str(line)+")" if pictureTable[line][col] != currentColor \ and pictureTable[line][col-1] == currentColor \ and currentColor in colors[:3] : # If you get a pixel which color is different from currentColor # and if before you have a colored pixel, that's because you # encountered the end of the F-line end_x -= 1 if currentColor == orange: #print "Orange" basicPicture += "\\Orange " if currentColor == green: #print "Vert" basicPicture += "\\Green " # The origin of the reference mark is different on the casio # graph and on the picture. On casio origin is bottom left-hand # corner / On the picture and my table, it top left-hand corner # That's why it must do casio_line = 63-line casio_orig_y = 63 - orig_y casio_end_y = 63 - end_y if end_x != orig_x: basicPicture += "\\F-Line " + str(orig_x) + "," + \ str(casio_orig_y) + "," + str(end_x) + \ "," + str(casio_end_y) + "\n" else: basicPicture += "\\PlotOn " + str(orig_x) + "," + \ str(casio_orig_y) + "\n" currentColor = 0 # This var contains the previously saved color orig_x = 0 orig_y = 0 end_x = 0 end_y = 0 if pictureTable[line][col] != white \ and pictureTable[line][col] != currentColor: # New F-line to add detected #print "Nouvelle F-ligne détectée en "+str(line)+","+str(col) currentColor = pictureTable[line][col] end_x = col orig_x = col end_y = line orig_y = line if pictureTable[line][col] != white \ and pictureTable[line][col] == currentColor: # Continue the F-line end_x += 1 col += 1 line += 1 return program_header + basicPicture
#! /usr/bin/env python #-*- coding: utf-8 -*- import casetta import Image import sys # sys.argv[1] -> input picture file # sys.argv[2] -> output casio file # (format managed by casetta following the extension) if len(sys.argv) < 3: sys.stderr("Usage:\npic2prog.py image_file casio_program\n") sys.exit(2) # Open the picture as a casio picture casio_file = casetta.open_file(sys.argv[1]) picture_data = casio_file[0] # Creat a new file_data, to receive the program prgm_file = casetta.data.FileData() prgm_data = prgm_file[prgm_file.new_data()] # Fill metadata prgm_data.name = picture_data.name prgm_data.dType = 'program' # Convert the picture prgm_data.set_text(casetta.pictures.img_to_basic(\ casetta.pictures.raw_to_data(\ picture_data.raw_data, picture_data.color_byte))) # Save the prgm_file prgm_file.save(sys.argv[2])
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