# ########################################################## # FlatCAM: 2D Post-processing for Manufacturing # # File Author: Marius Adrian Stanciu (c) # # Date: 3/10/2019 # # MIT Licence # # ########################################################## from appTool import * from rasterio import open as rasterio_open from rasterio.features import shapes fcTranslate.apply_language('strings') if '_' not in builtins.__dict__: _ = gettext.gettext class ToolImage(AppTool): def __init__(self, app): AppTool.__init__(self, app) self.app = app self.decimals = self.app.decimals # ############################################################################# # ######################### Tool GUI ########################################## # ############################################################################# self.ui = ImageUI(layout=self.layout, app=self.app) self.pluginName = self.ui.pluginName self.connect_signals_at_init() def run(self, toggle=True): self.app.defaults.report_usage("ToolImage()") if toggle: # if the splitter is hidden, display it if self.app.ui.splitter.sizes()[0] == 0: self.app.ui.splitter.setSizes([1, 1]) # if the Tool Tab is hidden display it, else hide it but only if the objectName is the same found_idx = None for idx in range(self.app.ui.notebook.count()): if self.app.ui.notebook.widget(idx).objectName() == "plugin_tab": found_idx = idx break # show the Tab if not found_idx: try: self.app.ui.notebook.addTab(self.app.ui.plugin_tab, _("Plugin")) except RuntimeError: self.app.ui.plugin_tab = QtWidgets.QWidget() self.app.ui.plugin_tab.setObjectName("plugin_tab") self.app.ui.plugin_tab_layout = QtWidgets.QVBoxLayout(self.app.ui.plugin_tab) self.app.ui.plugin_tab_layout.setContentsMargins(2, 2, 2, 2) self.app.ui.plugin_scroll_area = VerticalScrollArea() self.app.ui.plugin_tab_layout.addWidget(self.app.ui.plugin_scroll_area) self.app.ui.notebook.addTab(self.app.ui.plugin_tab, _("Plugin")) # focus on Tool Tab self.app.ui.notebook.setCurrentWidget(self.app.ui.plugin_tab) try: if self.app.ui.plugin_scroll_area.widget().objectName() == self.pluginName and found_idx: # if the Tool Tab is not focused, focus on it if not self.app.ui.notebook.currentWidget() is self.app.ui.plugin_tab: # focus on Tool Tab self.app.ui.notebook.setCurrentWidget(self.app.ui.plugin_tab) else: # else remove the Tool Tab self.app.ui.notebook.setCurrentWidget(self.app.ui.properties_tab) self.app.ui.notebook.removeTab(2) # if there are no objects loaded in the app then hide the Notebook widget if not self.app.collection.get_list(): self.app.ui.splitter.setSizes([0, 1]) except AttributeError: pass else: if self.app.ui.splitter.sizes()[0] == 0: self.app.ui.splitter.setSizes([1, 1]) AppTool.run(self) self.set_tool_ui() self.app.ui.notebook.setTabText(2, _("Image Import")) def install(self, icon=None, separator=None, **kwargs): AppTool.install(self, icon, separator, **kwargs) def connect_signals_at_init(self): # ## Signals self.ui.import_button.clicked.connect(self.on_file_importimage) self.ui.image_type.activated_custom.connect(self.ui.on_image_type) def set_tool_ui(self): self.clear_ui(self.layout) self.ui = ImageUI(layout=self.layout, app=self.app) self.pluginName = self.ui.pluginName self.connect_signals_at_init() # ## Initialize form self.ui.dpi_entry.set_value(96) self.ui.image_type.set_value('black') self.ui.mask_bw_entry.set_value(250) self.ui.mask_r_entry.set_value(250) self.ui.mask_g_entry.set_value(250) self.ui.mask_b_entry.set_value(250) def on_file_importimage(self): """ Callback for menu item File->Import IMAGE. :return: None """ self.app.log.debug("on_file_importimage()") _filter = "Image Files(*.BMP *.PNG *.JPG *.JPEG);;" \ "Bitmap File (*.BMP);;" \ "PNG File (*.PNG);;" \ "Jpeg File (*.JPG);;" \ "All Files (*.*)" try: filename, _f = QtWidgets.QFileDialog.getOpenFileName(caption=_("Import IMAGE"), directory=self.app.get_last_folder(), filter=_filter) except TypeError: filename, _f = QtWidgets.QFileDialog.getOpenFileName(caption=_("Import IMAGE"), filter=_filter) filename = str(filename) type_obj = self.ui.tf_type_obj_combo.get_value() dpi = self.ui.dpi_entry.get_value() mode = self.ui.image_type.get_value() mask = [ self.ui.mask_bw_entry.get_value(), self.ui.mask_r_entry.get_value(), self.ui.mask_g_entry.get_value(), self.ui.mask_b_entry.get_value() ] if filename == "": self.app.inform.emit(_("Cancelled.")) else: self.app.worker_task.emit({'fcn': self.import_image, 'params': [filename, type_obj, dpi, mode, mask]}) def import_image(self, filename, o_type=_("Gerber"), dpi=96, mode='black', mask=None, outname=None): """ Adds a new Geometry Object to the projects and populates it with shapes extracted from the SVG file. :param filename: Path to the SVG file. :param o_type: type of FlatCAM objeect :param dpi: dot per inch :param mode: black or color :param mask: dictate the level of detail :param outname: name for the resulting file :return: """ self.app.defaults.report_usage("import_image()") if not os.path.exists(filename): self.app.inform.emit('[ERROR_NOTCL] %s' % _("File no longer available.")) return if mask is None: mask = [250, 250, 250, 250] if o_type is None or o_type == _("Geometry"): obj_type = "geometry" elif o_type == _("Gerber"): obj_type = "gerber" else: self.app.inform.emit('[ERROR_NOTCL] %s' % _("Not supported type is picked as parameter. " "Only Geometry and Gerber are supported")) return def obj_init(geo_obj, app_obj): app_obj.log.debug("ToolIamge.import_image() -> importing image as geometry") image_geo = self.import_image_handler(filename, units=units, dpi=dpi, mode=mode, mask=mask) # # Add to object # if self.solid_geometry is None: # self.solid_geometry = [] # # if type(self.solid_geometry) is list: # # self.solid_geometry.append(unary_union(geos)) # if type(geos) is list: # self.solid_geometry += geos # else: # self.solid_geometry.append(geos) # else: # It's shapely geometry # self.solid_geometry = [self.solid_geometry, geos] # flatten the geo_obj.solid_geometry list geo_obj.solid_geometry = list(self.flatten_list(image_geo)) geo_obj.solid_geometry = unary_union(geo_obj.solid_geometry) geo_obj.multigeo = False geo_obj.multitool = False with self.app.proc_container.new('%s ...' % _("Importing")): # Object name name = outname or filename.split('/')[-1].split('\\')[-1] units = self.app.app_units self.app.app_obj.new_object(obj_type, name, obj_init) # Register recent file self.app.file_opened.emit("image", filename) # GUI feedback self.app.inform.emit('[success] %s: %s' % (_("Opened"), filename)) def import_image_handler(self, filename, flip=True, units='MM', dpi=96, mode='black', mask=None): """ Imports shapes from an IMAGE file into the object's geometry. :param filename: Path to the IMAGE file. :type filename: str :param flip: Flip the object vertically. :type flip: bool :param units: FlatCAM units :type units: str :param dpi: dots per inch on the imported image :param mode: how to import the image: as 'black' or 'color' :type mode: str :param mask: level of detail for the import :return: None """ if mask is None: mask = [128, 128, 128, 128] scale_factor = 25.4 / dpi if units.lower() == 'mm' else 1 / dpi geos = [] unscaled_geos = [] with rasterio_open(filename) as src: # if filename.lower().rpartition('.')[-1] == 'bmp': # red = green = blue = src.read(1) # print("BMP") # elif filename.lower().rpartition('.')[-1] == 'png': # red, green, blue, alpha = src.read() # elif filename.lower().rpartition('.')[-1] == 'jpg': # red, green, blue = src.read() red = green = blue = src.read(1) try: green = src.read(2) except Exception: pass try: blue = src.read(3) except Exception: pass if mode == 'black': mask_setting = red <= mask[0] total = red self.app.log.debug("Image import as monochrome.") else: mask_setting = (red <= mask[1]) + (green <= mask[2]) + (blue <= mask[3]) total = np.zeros(red.shape, dtype=np.float32) for band in red, green, blue: total += band total /= 3 self.app.log.debug("Image import as colored. Thresholds are: R = %s , G = %s, B = %s" % (str(mask[1]), str(mask[2]), str(mask[3]))) for geom, val in shapes(total, mask=mask_setting): unscaled_geos.append(shape(geom)) for g in unscaled_geos: geos.append(scale(g, scale_factor, scale_factor, origin=(0, 0))) if flip: geos = [translate(scale(g, 1.0, -1.0, origin=(0, 0))) for g in geos] return geos def flatten_list(self, obj_list): for item in obj_list: if hasattr(item, '__iter__') and not isinstance(item, (str, bytes)): yield from self.flatten_list(item) else: yield item class ImageUI: pluginName = _("Image Import") def __init__(self, layout, app): self.app = app self.decimals = self.app.decimals self.layout = layout # ## Title title_label = FCLabel("%s" % self.pluginName) title_label.setStyleSheet(""" QLabel { font-size: 16px; font-weight: bold; } """) self.layout.addWidget(title_label) # Grid Layout grid0 = FCGridLayout(v_spacing=5, h_spacing=3) self.layout.addLayout(grid0) # Type of object to create for the image self.tf_type_obj_combo = FCComboBox() self.tf_type_obj_combo.addItems([_("Gerber"), _("Geometry")]) self.tf_type_obj_combo.setItemIcon(0, QtGui.QIcon(self.app.resource_location + "/flatcam_icon16.png")) self.tf_type_obj_combo.setItemIcon(1, QtGui.QIcon(self.app.resource_location + "/geometry16.png")) self.tf_type_obj_combo_label = FCLabel('%s:' % _("Object Type")) self.tf_type_obj_combo_label.setToolTip( _("Specify the type of object to create from the image.\n" "It can be of type: Gerber or Geometry.") ) grid0.addWidget(self.tf_type_obj_combo_label, 0, 0) grid0.addWidget(self.tf_type_obj_combo, 0, 1) # DPI value of the imported image self.dpi_entry = FCSpinner(callback=self.confirmation_message_int) self.dpi_entry.set_range(0, 99999) self.dpi_label = FCLabel('%s:' % _("DPI value")) self.dpi_label.setToolTip(_("Specify a DPI value for the image.")) grid0.addWidget(self.dpi_label, 2, 0) grid0.addWidget(self.dpi_entry, 2, 1) grid0.addWidget(FCLabel(''), 4, 0, 1, 2) self.detail_label = FCLabel("%s:" % _('Level of detail')) grid0.addWidget(self.detail_label, 6, 0, 1, 2) # Type of image interpretation self.image_type = RadioSet([{'label': 'B/W', 'value': 'black'}, {'label': 'Color', 'value': 'color'}]) self.image_type_label = FCLabel("%s:" % _('Image type')) self.image_type_label.setToolTip( _("Choose a method for the image interpretation.\n" "B/W means a black & white image. Color means a colored image.") ) grid0.addWidget(self.image_type_label, 8, 0) grid0.addWidget(self.image_type, 8, 1) # Mask value of the imported image when image monochrome self.mask_bw_entry = FCSpinner(callback=self.confirmation_message_int) self.mask_bw_entry.set_range(0, 255) self.mask_bw_label = FCLabel("%s B/W:" % _('Mask value')) self.mask_bw_label.setToolTip( _("Mask for monochrome image.\n" "Takes values between [0 ... 255].\n" "Decides the level of details to include\n" "in the resulting geometry.\n" "0 means no detail and 255 means everything \n" "(which is totally black).") ) grid0.addWidget(self.mask_bw_label, 10, 0) grid0.addWidget(self.mask_bw_entry, 10, 1) # Mask value of the imported image for RED color when image color self.mask_r_entry = FCSpinner(callback=self.confirmation_message_int) self.mask_r_entry.set_range(0, 255) self.mask_r_label = FCLabel("%s R:" % _('Mask value')) self.mask_r_label.setToolTip( _("Mask for RED color.\n" "Takes values between [0 ... 255].\n" "Decides the level of details to include\n" "in the resulting geometry.") ) grid0.addWidget(self.mask_r_label, 12, 0) grid0.addWidget(self.mask_r_entry, 12, 1) # Mask value of the imported image for GREEN color when image color self.mask_g_entry = FCSpinner(callback=self.confirmation_message_int) self.mask_g_entry.set_range(0, 255) self.mask_g_label = FCLabel("%s G:" % _('Mask value')) self.mask_g_label.setToolTip( _("Mask for GREEN color.\n" "Takes values between [0 ... 255].\n" "Decides the level of details to include\n" "in the resulting geometry.") ) grid0.addWidget(self.mask_g_label, 14, 0) grid0.addWidget(self.mask_g_entry, 14, 1) # Mask value of the imported image for BLUE color when image color self.mask_b_entry = FCSpinner(callback=self.confirmation_message_int) self.mask_b_entry.set_range(0, 255) self.mask_b_label = FCLabel("%s B:" % _('Mask value')) self.mask_b_label.setToolTip( _("Mask for BLUE color.\n" "Takes values between [0 ... 255].\n" "Decides the level of details to include\n" "in the resulting geometry.") ) grid0.addWidget(self.mask_b_label, 16, 0) grid0.addWidget(self.mask_b_entry, 16, 1) # Buttons self.import_button = QtWidgets.QPushButton(_("Import image")) self.import_button.setToolTip( _("Open a image of raster type and then import it in FlatCAM.") ) grid0.addWidget(self.import_button, 18, 0, 1, 2) self.layout.addStretch(1) self.on_image_type(val=False) # #################################### FINSIHED GUI ########################### # ############################################################################# def on_image_type(self, val): if val == 'color': self.mask_r_label.setDisabled(False) self.mask_r_entry.setDisabled(False) self.mask_g_label.setDisabled(False) self.mask_g_entry.setDisabled(False) self.mask_b_label.setDisabled(False) self.mask_b_entry.setDisabled(False) self.mask_bw_label.setDisabled(True) self.mask_bw_entry.setDisabled(True) else: self.mask_r_label.setDisabled(True) self.mask_r_entry.setDisabled(True) self.mask_g_label.setDisabled(True) self.mask_g_entry.setDisabled(True) self.mask_b_label.setDisabled(True) self.mask_b_entry.setDisabled(True) self.mask_bw_label.setDisabled(False) self.mask_bw_entry.setDisabled(False) def confirmation_message(self, accepted, minval, maxval): if accepted is False: self.app.inform[str, bool].emit('[WARNING_NOTCL] %s: [%.*f, %.*f]' % (_("Edited value is out of range"), self.decimals, minval, self.decimals, maxval), False) else: self.app.inform[str, bool].emit('[success] %s' % _("Edited value is within limits."), False) def confirmation_message_int(self, accepted, minval, maxval): if accepted is False: self.app.inform[str, bool].emit('[WARNING_NOTCL] %s: [%d, %d]' % (_("Edited value is out of range"), minval, maxval), False) else: self.app.inform[str, bool].emit('[success] %s' % _("Edited value is within limits."), False)