#!/usr/bin/env python3 #coding: utf-8 # 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 3 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, see . """ Exports the image histogram to a text file, so that it can be used by other programs and loaded into spreadsheets. The resulting file is a CSV file (Comma Separated Values), which can be imported directly in most spreadsheet programs. The first two columns are the bucket boundaries, followed by the selected columns. The histogram refers to the selected image area, and can use either Sample Average data or data from the current drawable only.; The output is in "weighted pixels" - meaning all fully transparent pixels are not counted. Check the pika-histogram call """ import csv import math import sys import gi gi.require_version('Pika', '3.0') from gi.repository import Pika gi.require_version('PikaUi', '3.0') from gi.repository import PikaUi from gi.repository import GObject from gi.repository import GLib from gi.repository import Gio gi.require_version('Gtk', '3.0') from gi.repository import Gtk def N_(message): return message def _(message): return GLib.dgettext(None, message) class StringEnum: """ Helper class for when you want to use strings as keys of an enum. The values would be user facing strings that might undergo translation. The constructor accepts an even amount of arguments. Each pair of arguments is a key/value pair. """ def __init__(self, *args): self.keys = [] self.values = [] for i in range(len(args)//2): self.keys.append(args[i*2]) self.values.append(args[i*2+1]) def get_tree_model(self): """ Get a tree model that can be used in GTK widgets. """ tree_model = Gtk.ListStore(GObject.TYPE_STRING, GObject.TYPE_STRING) for i in range(len(self.keys)): tree_model.append([self.keys[i], self.values[i]]) return tree_model def __getattr__(self, name): """ Implements access to the key. For example, if you provided a key "red", then you could access it by referring to my_enum.red It may seem silly as "my_enum.red" is longer to write then just "red", but this provides verification that the key is indeed inside enum. """ key = name.replace("_", " ") if key in self.keys: return key raise AttributeError("No such key string " + key) output_format_enum = StringEnum( "pixel count", _("Pixel count"), "normalized", _("Normalized"), "percent", _("Percent") ) def histogram_export(procedure, img, layers, gio_file, bucket_size, sample_average, output_format, progress_bar): layers = img.get_selected_layers() layer = layers[0] if sample_average: new_img = img.duplicate() layer = new_img.merge_visible_layers(Pika.MergeType.CLIP_TO_IMAGE) channels_txt = ["Value"] channels_pika = [Pika.HistogramChannel.VALUE] if layer.is_rgb(): channels_txt += ["Red", "Green", "Blue", "Luminance"] channels_pika += [Pika.HistogramChannel.RED, Pika.HistogramChannel.GREEN, Pika.HistogramChannel.BLUE, Pika.HistogramChannel.LUMINANCE] if layer.has_alpha(): channels_txt += ["Alpha"] channels_pika += [Pika.HistogramChannel.ALPHA] try: with open(gio_file.get_path(), "wt") as hfile: writer = csv.writer(hfile) # Write headers: writer.writerow(["Range start"] + channels_txt) max_index = 1.0/bucket_size if bucket_size > 0 else 1 i = 0 progress_bar_int_percent = 0 while True: start_range = i * bucket_size i += 1 if start_range >= 1.0: break row = [start_range] for channel in channels_pika: result = Pika.get_pdb().run_procedure('pika-drawable-histogram', [ GObject.Value(Pika.Drawable, layer), GObject.Value(Pika.HistogramChannel, channel), GObject.Value(GObject.TYPE_DOUBLE, float(start_range)), GObject.Value(GObject.TYPE_DOUBLE, float(min(start_range + bucket_size, 1.0))) ]) if output_format == output_format_enum.pixel_count: count = int(result.index(5)) else: pixels = result.index(4) count = (result.index(5) / pixels) if pixels else 0 if output_format == output_format_enum.percent: count = "%.2f%%" % (count * 100) row.append(str(count)) writer.writerow(row) # Update progress bar if progress_bar: fraction = i / max_index # Only update the progress bar if it changed at least 1% . new_percent = math.floor(fraction * 100) if new_percent != progress_bar_int_percent: progress_bar_int_percent = new_percent progress_bar.set_fraction(fraction) # Make sure the progress bar gets drawn on screen. while Gtk.events_pending(): Gtk.main_iteration() except IsADirectoryError: return procedure.new_return_values(Pika.PDBStatusType.EXECUTION_ERROR, GLib.Error(_("File is either a directory or file name is empty."))) except FileNotFoundError: return procedure.new_return_values(Pika.PDBStatusType.EXECUTION_ERROR, GLib.Error(_("Directory not found."))) except PermissionError: return procedure.new_return_values(Pika.PDBStatusType.EXECUTION_ERROR, GLib.Error("You do not have permissions to write that file.")) if sample_average: new_img.delete() return procedure.new_return_values(Pika.PDBStatusType.SUCCESS, GLib.Error()) def run(procedure, run_mode, image, n_layers, layers, args, data): gio_file = args.index(0) bucket_size = args.index(1) sample_average = args.index(2) output_format = args.index(3) progress_bar = None config = None if run_mode == Pika.RunMode.INTERACTIVE: config = procedure.create_config() # Set properties from arguments. These properties will be changed by the UI. #config.set_property("file", gio_file) #config.set_property("bucket_size", bucket_size) #config.set_property("sample_average", sample_average) #config.set_property("output_format", output_format) config.begin_run(image, run_mode, args) PikaUi.init("histogram-export.py") use_header_bar = Gtk.Settings.get_default().get_property("gtk-dialogs-use-header") dialog = PikaUi.Dialog(use_header_bar=use_header_bar, title=_("Histogram Export...")) dialog.add_button(_("_Cancel"), Gtk.ResponseType.CANCEL) dialog.add_button(_("_OK"), Gtk.ResponseType.OK) vbox = Gtk.Box(orientation=Gtk.Orientation.VERTICAL, homogeneous=False, spacing=10) dialog.get_content_area().add(vbox) vbox.show() # Create grid to set all the properties inside. grid = Gtk.Grid() grid.set_column_homogeneous(False) grid.set_border_width(10) grid.set_column_spacing(10) grid.set_row_spacing(10) vbox.add(grid) grid.show() # UI for the file parameter def choose_file(widget): if file_chooser_dialog.run() == Gtk.ResponseType.OK: if file_chooser_dialog.get_file() is not None: config.set_property("file", file_chooser_dialog.get_file()) file_entry.set_text(file_chooser_dialog.get_file().get_path()) file_chooser_dialog.hide() file_chooser_button = Gtk.Button.new_with_mnemonic(label=_("_File...")) grid.attach(file_chooser_button, 0, 0, 1, 1) file_chooser_button.show() file_chooser_button.connect("clicked", choose_file) file_entry = Gtk.Entry.new() grid.attach(file_entry, 1, 0, 1, 1) file_entry.set_width_chars(40) file_entry.set_placeholder_text(_("Choose export file...")) if gio_file is not None: file_entry.set_text(gio_file.get_path()) file_entry.show() file_chooser_dialog = Gtk.FileChooserDialog(use_header_bar=use_header_bar, title=_("Histogram Export file..."), action=Gtk.FileChooserAction.SAVE) file_chooser_dialog.add_button(_("_Cancel"), Gtk.ResponseType.CANCEL) file_chooser_dialog.add_button(_("_OK"), Gtk.ResponseType.OK) # Bucket size parameter label = Gtk.Label.new_with_mnemonic(_("_Bucket Size")) grid.attach(label, 0, 1, 1, 1) label.show() spin = PikaUi.prop_spin_button_new(config, "bucket_size", step_increment=0.001, page_increment=0.1, digits=3) grid.attach(spin, 1, 1, 1, 1) spin.show() # Sample average parameter spin = PikaUi.prop_check_button_new(config, "sample_average", _("Sample _Average")) spin.set_tooltip_text(_("If checked, the histogram is generated from merging all visible layers." " Otherwise, the histogram is only for the current layer.")) grid.attach(spin, 1, 2, 1, 1) spin.show() # Output format parameter label = Gtk.Label.new_with_mnemonic(_("_Output Format")) grid.attach(label, 0, 3, 1, 1) label.show() combo = PikaUi.prop_string_combo_box_new(config, "output_format", output_format_enum.get_tree_model(), 0, 1) grid.attach(combo, 1, 3, 1, 1) combo.show() progress_bar = Gtk.ProgressBar() vbox.add(progress_bar) progress_bar.show() dialog.show() if dialog.run() != Gtk.ResponseType.OK: return procedure.new_return_values(Pika.PDBStatusType.CANCEL, GLib.Error()) # Extract values from UI gio_file = Gio.file_new_for_path(file_entry.get_text()) # config.get_property("file") bucket_size = config.get_property("bucket_size") sample_average = config.get_property("sample_average") output_format = config.get_property("output_format") if gio_file is None: error = 'No file given' return procedure.new_return_values(Pika.PDBStatusType.CALLING_ERROR, GLib.Error(error)) result = histogram_export(procedure, image, layers, gio_file, bucket_size, sample_average, output_format, progress_bar) # If the execution was successful, save parameters so they will be restored next time we show dialog. if result.index(0) == Pika.PDBStatusType.SUCCESS and config is not None: config.end_run(Pika.PDBStatusType.SUCCESS) return result class HistogramExport(Pika.PlugIn): ## Parameters ## __gproperties__ = { # "filename": (str, # # TODO: I wanted this property to be a path (and not just str) , so I could use # # prop_file_chooser_button_new to open a file dialog. However, it fails without an error message. # # Pika.ConfigPath, # _("Histogram _File"), # _("Histogram _File"), # "histogram_export.csv", # # Pika.ConfigPathType.FILE, # GObject.ParamFlags.READWRITE), "file": (Gio.File, _("Histogram _File"), "Histogram export file", GObject.ParamFlags.READWRITE), "bucket_size": (float, _("_Bucket Size"), "Bucket Size", 0.001, 1.0, 0.01, GObject.ParamFlags.READWRITE), "sample_average": (bool, _("Sample _Average"), "Sample Average", False, GObject.ParamFlags.READWRITE), "output_format": (str, _("Output format"), "Output format: 'pixel count', 'normalized', 'percent'", "pixel count", GObject.ParamFlags.READWRITE), } ## PikaPlugIn virtual methods ## def do_set_i18n(self, procname): return True, 'pika30-python', None def do_query_procedures(self): return ['histogram-export'] def do_create_procedure(self, name): procedure = None if name == 'histogram-export': procedure = Pika.ImageProcedure.new(self, name, Pika.PDBProcType.PLUGIN, run, None) procedure.set_image_types("*") procedure.set_documentation ( _("Exports the image histogram to a text file (CSV)"), globals()["__doc__"], # This includes the docstring, on the top of the file name) procedure.set_menu_label(_("_Export histogram...")) procedure.set_attribution("João S. O. Bueno", "(c) GPL V3.0 or later", "2014") procedure.add_menu_path("/Colors/Info/") procedure.add_argument_from_property(self, "file") procedure.add_argument_from_property(self, "bucket_size") procedure.add_argument_from_property(self, "sample_average") procedure.add_argument_from_property(self, "output_format") return procedure Pika.main(HistogramExport.__gtype__, sys.argv)