482 lines
19 KiB
Python
482 lines
19 KiB
Python
# ##########################################################
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# FlatCAM: 2D Post-processing for Manufacturing #
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# File Author: Marius Adrian Stanciu (c) #
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# Date: 3/10/2019 #
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# MIT Licence #
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# ##########################################################
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from PyQt6 import QtGui, QtWidgets
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import os, sys
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from shapely.geometry import shape
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from shapely.ops import unary_union
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from shapely.affinity import scale, translate
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import numpy as np
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import rasterio
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from rasterio import open as rasterio_open
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from rasterio.features import shapes
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from appTool import AppTool
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from appGUI.GUIElements import RadioSet, FCComboBox, FCSpinner, FCLabel, VerticalScrollArea, FCGridLayout
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import gettext
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import appTranslation as fcTranslate
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import builtins
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fcTranslate.apply_language('strings')
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if '_' not in builtins.__dict__:
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_ = gettext.gettext
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class ToolImage(AppTool):
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def __init__(self, app):
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AppTool.__init__(self, app)
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self.app = app
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self.decimals = self.app.decimals
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# #############################################################################
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# ######################### Tool GUI ##########################################
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# #############################################################################
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self.ui = ImageUI(layout=self.layout, app=self.app)
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self.pluginName = self.ui.pluginName
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self.connect_signals_at_init()
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def run(self, toggle=True):
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self.app.defaults.report_usage("ToolImage()")
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if toggle:
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# if the splitter is hidden, display it
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if self.app.ui.splitter.sizes()[0] == 0:
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self.app.ui.splitter.setSizes([1, 1])
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# if the Tool Tab is hidden display it, else hide it but only if the objectName is the same
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found_idx = None
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for idx in range(self.app.ui.notebook.count()):
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if self.app.ui.notebook.widget(idx).objectName() == "plugin_tab":
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found_idx = idx
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break
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# show the Tab
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if not found_idx:
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try:
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self.app.ui.notebook.addTab(self.app.ui.plugin_tab, _("Plugin"))
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except RuntimeError:
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self.app.ui.plugin_tab = QtWidgets.QWidget()
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self.app.ui.plugin_tab.setObjectName("plugin_tab")
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self.app.ui.plugin_tab_layout = QtWidgets.QVBoxLayout(self.app.ui.plugin_tab)
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self.app.ui.plugin_tab_layout.setContentsMargins(2, 2, 2, 2)
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self.app.ui.plugin_scroll_area = VerticalScrollArea()
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self.app.ui.plugin_tab_layout.addWidget(self.app.ui.plugin_scroll_area)
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self.app.ui.notebook.addTab(self.app.ui.plugin_tab, _("Plugin"))
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# focus on Tool Tab
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self.app.ui.notebook.setCurrentWidget(self.app.ui.plugin_tab)
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try:
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if self.app.ui.plugin_scroll_area.widget().objectName() == self.pluginName and found_idx:
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# if the Tool Tab is not focused, focus on it
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if not self.app.ui.notebook.currentWidget() is self.app.ui.plugin_tab:
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# focus on Tool Tab
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self.app.ui.notebook.setCurrentWidget(self.app.ui.plugin_tab)
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else:
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# else remove the Tool Tab
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self.app.ui.notebook.setCurrentWidget(self.app.ui.properties_tab)
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self.app.ui.notebook.removeTab(2)
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# if there are no objects loaded in the app then hide the Notebook widget
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if not self.app.collection.get_list():
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self.app.ui.splitter.setSizes([0, 1])
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except AttributeError:
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pass
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else:
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if self.app.ui.splitter.sizes()[0] == 0:
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self.app.ui.splitter.setSizes([1, 1])
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AppTool.run(self)
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self.set_tool_ui()
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self.app.ui.notebook.setTabText(2, _("Image Import"))
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def install(self, icon=None, separator=None, **kwargs):
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AppTool.install(self, icon, separator, **kwargs)
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def connect_signals_at_init(self):
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# ## Signals
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self.ui.import_button.clicked.connect(self.on_file_importimage)
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self.ui.image_type.activated_custom.connect(self.ui.on_image_type)
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def set_tool_ui(self):
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self.clear_ui(self.layout)
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self.ui = ImageUI(layout=self.layout, app=self.app)
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self.pluginName = self.ui.pluginName
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self.connect_signals_at_init()
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# ## Initialize form
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self.ui.dpi_entry.set_value(96)
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self.ui.image_type.set_value('black')
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self.ui.mask_bw_entry.set_value(250)
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self.ui.mask_r_entry.set_value(250)
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self.ui.mask_g_entry.set_value(250)
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self.ui.mask_b_entry.set_value(250)
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def on_file_importimage(self):
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"""
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Callback for menu item File->Import IMAGE.
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:return: None
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"""
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self.app.log.debug("on_file_importimage()")
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_filter = "Image Files(*.BMP *.PNG *.JPG *.JPEG);;" \
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"Bitmap File (*.BMP);;" \
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"PNG File (*.PNG);;" \
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"Jpeg File (*.JPG);;" \
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"All Files (*.*)"
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try:
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filename, _f = QtWidgets.QFileDialog.getOpenFileName(caption=_("Import IMAGE"),
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directory=self.app.get_last_folder(), filter=_filter)
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except TypeError:
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filename, _f = QtWidgets.QFileDialog.getOpenFileName(caption=_("Import IMAGE"), filter=_filter)
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filename = str(filename)
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type_obj = self.ui.tf_type_obj_combo.get_value()
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dpi = self.ui.dpi_entry.get_value()
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mode = self.ui.image_type.get_value()
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mask = [
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self.ui.mask_bw_entry.get_value(),
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self.ui.mask_r_entry.get_value(),
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self.ui.mask_g_entry.get_value(),
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self.ui.mask_b_entry.get_value()
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]
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if filename == "":
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self.app.inform.emit(_("Cancelled."))
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else:
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self.app.worker_task.emit({'fcn': self.import_image,
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'params': [filename, type_obj, dpi, mode, mask]})
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def import_image(self, filename, o_type=_("Gerber"), dpi=96, mode='black', mask=None, outname=None):
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"""
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Adds a new Geometry Object to the projects and populates
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it with shapes extracted from the SVG file.
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:param filename: Path to the SVG file.
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:param o_type: type of FlatCAM objeect
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:param dpi: dot per inch
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:param mode: black or color
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:param mask: dictate the level of detail
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:param outname: name for the resulting file
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:return:
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"""
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self.app.defaults.report_usage("import_image()")
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if not os.path.exists(filename):
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self.app.inform.emit('[ERROR_NOTCL] %s' % _("File no longer available."))
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return
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if mask is None:
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mask = [250, 250, 250, 250]
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if o_type is None or o_type == _("Geometry"):
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obj_type = "geometry"
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elif o_type == _("Gerber"):
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obj_type = "gerber"
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else:
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self.app.inform.emit('[ERROR_NOTCL] %s' %
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_("Not supported type is picked as parameter. "
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"Only Geometry and Gerber are supported"))
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return
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def obj_init(geo_obj, app_obj):
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app_obj.log.debug("ToolIamge.import_image() -> importing image as geometry")
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image_geo = self.import_image_handler(filename, units=units, dpi=dpi, mode=mode, mask=mask)
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# # Add to object
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# if self.solid_geometry is None:
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# self.solid_geometry = []
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#
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# if type(self.solid_geometry) is list:
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# # self.solid_geometry.append(unary_union(geos))
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# if type(geos) is list:
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# self.solid_geometry += geos
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# else:
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# self.solid_geometry.append(geos)
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# else: # It's shapely geometry
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# self.solid_geometry = [self.solid_geometry, geos]
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# flatten the geo_obj.solid_geometry list
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geo_obj.solid_geometry = list(self.flatten_list(image_geo))
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geo_obj.solid_geometry = unary_union(geo_obj.solid_geometry)
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geo_obj.multigeo = False
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geo_obj.multitool = False
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with self.app.proc_container.new('%s ...' % _("Importing")):
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# Object name
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name = outname or filename.split('/')[-1].split('\\')[-1]
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units = self.app.app_units
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self.app.app_obj.new_object(obj_type, name, obj_init)
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# Register recent file
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self.app.file_opened.emit("image", filename)
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# GUI feedback
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self.app.inform.emit('[success] %s: %s' % (_("Opened"), filename))
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def import_image_handler(self, filename, flip=True, units='MM', dpi=96, mode='black', mask=None):
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"""
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Imports shapes from an IMAGE file into the object's geometry.
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:param filename: Path to the IMAGE file.
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:type filename: str
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:param flip: Flip the object vertically.
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:type flip: bool
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:param units: FlatCAM units
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:type units: str
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:param dpi: dots per inch on the imported image
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:param mode: how to import the image: as 'black' or 'color'
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:type mode: str
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:param mask: level of detail for the import
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:return: None
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"""
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if mask is None:
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mask = [128, 128, 128, 128]
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scale_factor = 25.4 / dpi if units.lower() == 'mm' else 1 / dpi
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geos = []
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unscaled_geos = []
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with rasterio_open(filename) as src:
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# if filename.lower().rpartition('.')[-1] == 'bmp':
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# red = green = blue = src.read(1)
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# print("BMP")
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# elif filename.lower().rpartition('.')[-1] == 'png':
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# red, green, blue, alpha = src.read()
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# elif filename.lower().rpartition('.')[-1] == 'jpg':
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# red, green, blue = src.read()
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red = green = blue = src.read(1)
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try:
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green = src.read(2)
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except Exception:
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pass
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try:
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blue = src.read(3)
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except Exception:
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pass
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if mode == 'black':
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mask_setting = red <= mask[0]
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total = red
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self.app.log.debug("Image import as monochrome.")
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else:
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mask_setting = (red <= mask[1]) + (green <= mask[2]) + (blue <= mask[3])
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total = np.zeros(red.shape, dtype=np.float32)
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for band in red, green, blue:
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total += band
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total /= 3
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self.app.log.debug("Image import as colored. Thresholds are: R = %s , G = %s, B = %s" %
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(str(mask[1]), str(mask[2]), str(mask[3])))
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for geom, val in shapes(total, mask=mask_setting):
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unscaled_geos.append(shape(geom))
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for g in unscaled_geos:
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geos.append(scale(g, scale_factor, scale_factor, origin=(0, 0)))
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if flip:
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geos = [translate(scale(g, 1.0, -1.0, origin=(0, 0))) for g in geos]
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return geos
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def flatten_list(self, obj_list):
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for item in obj_list:
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if hasattr(item, '__iter__') and not isinstance(item, (str, bytes)):
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yield from self.flatten_list(item)
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else:
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yield item
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class ImageUI:
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pluginName = _("Image Import")
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def __init__(self, layout, app):
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self.app = app
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self.decimals = self.app.decimals
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self.layout = layout
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# ## Title
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title_label = FCLabel("%s" % self.pluginName)
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title_label.setStyleSheet("""
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QLabel
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{
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font-size: 16px;
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font-weight: bold;
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}
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""")
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self.layout.addWidget(title_label)
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# Grid Layout
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grid0 = FCGridLayout(v_spacing=5, h_spacing=3)
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self.layout.addLayout(grid0)
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# Type of object to create for the image
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self.tf_type_obj_combo = FCComboBox()
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self.tf_type_obj_combo.addItems([_("Gerber"), _("Geometry")])
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self.tf_type_obj_combo.setItemIcon(0, QtGui.QIcon(self.app.resource_location + "/flatcam_icon16.png"))
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self.tf_type_obj_combo.setItemIcon(1, QtGui.QIcon(self.app.resource_location + "/geometry16.png"))
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self.tf_type_obj_combo_label = FCLabel('%s:' % _("Object Type"))
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self.tf_type_obj_combo_label.setToolTip(
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_("Specify the type of object to create from the image.\n"
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"It can be of type: Gerber or Geometry.")
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)
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grid0.addWidget(self.tf_type_obj_combo_label, 0, 0)
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grid0.addWidget(self.tf_type_obj_combo, 0, 1)
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# DPI value of the imported image
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self.dpi_entry = FCSpinner(callback=self.confirmation_message_int)
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self.dpi_entry.set_range(0, 99999)
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self.dpi_label = FCLabel('%s:' % _("DPI value"))
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self.dpi_label.setToolTip(_("Specify a DPI value for the image."))
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grid0.addWidget(self.dpi_label, 2, 0)
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grid0.addWidget(self.dpi_entry, 2, 1)
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grid0.addWidget(FCLabel(''), 4, 0, 1, 2)
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self.detail_label = FCLabel("<font size=4><b>%s:</b></font>" % _('Level of detail'))
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grid0.addWidget(self.detail_label, 6, 0, 1, 2)
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# Type of image interpretation
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self.image_type = RadioSet([{'label': 'B/W', 'value': 'black'},
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{'label': 'Color', 'value': 'color'}])
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self.image_type_label = FCLabel("<b>%s:</b>" % _('Image type'))
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self.image_type_label.setToolTip(
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_("Choose a method for the image interpretation.\n"
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"B/W means a black & white image. Color means a colored image.")
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)
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grid0.addWidget(self.image_type_label, 8, 0)
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grid0.addWidget(self.image_type, 8, 1)
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# Mask value of the imported image when image monochrome
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self.mask_bw_entry = FCSpinner(callback=self.confirmation_message_int)
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self.mask_bw_entry.set_range(0, 255)
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self.mask_bw_label = FCLabel("%s <b>B/W</b>:" % _('Mask value'))
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self.mask_bw_label.setToolTip(
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_("Mask for monochrome image.\n"
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"Takes values between [0 ... 255].\n"
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"Decides the level of details to include\n"
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"in the resulting geometry.\n"
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"0 means no detail and 255 means everything \n"
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"(which is totally black).")
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)
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grid0.addWidget(self.mask_bw_label, 10, 0)
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grid0.addWidget(self.mask_bw_entry, 10, 1)
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# Mask value of the imported image for RED color when image color
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self.mask_r_entry = FCSpinner(callback=self.confirmation_message_int)
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self.mask_r_entry.set_range(0, 255)
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self.mask_r_label = FCLabel("%s <b>R:</b>" % _('Mask value'))
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self.mask_r_label.setToolTip(
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_("Mask for RED color.\n"
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"Takes values between [0 ... 255].\n"
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"Decides the level of details to include\n"
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"in the resulting geometry.")
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)
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grid0.addWidget(self.mask_r_label, 12, 0)
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grid0.addWidget(self.mask_r_entry, 12, 1)
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# Mask value of the imported image for GREEN color when image color
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self.mask_g_entry = FCSpinner(callback=self.confirmation_message_int)
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self.mask_g_entry.set_range(0, 255)
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self.mask_g_label = FCLabel("%s <b>G:</b>" % _('Mask value'))
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self.mask_g_label.setToolTip(
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_("Mask for GREEN color.\n"
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"Takes values between [0 ... 255].\n"
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"Decides the level of details to include\n"
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"in the resulting geometry.")
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)
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grid0.addWidget(self.mask_g_label, 14, 0)
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grid0.addWidget(self.mask_g_entry, 14, 1)
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# Mask value of the imported image for BLUE color when image color
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self.mask_b_entry = FCSpinner(callback=self.confirmation_message_int)
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self.mask_b_entry.set_range(0, 255)
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self.mask_b_label = FCLabel("%s <b>B:</b>" % _('Mask value'))
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self.mask_b_label.setToolTip(
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_("Mask for BLUE color.\n"
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"Takes values between [0 ... 255].\n"
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"Decides the level of details to include\n"
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"in the resulting geometry.")
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)
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grid0.addWidget(self.mask_b_label, 16, 0)
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grid0.addWidget(self.mask_b_entry, 16, 1)
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# Buttons
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self.import_button = QtWidgets.QPushButton(_("Import image"))
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self.import_button.setToolTip(
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_("Open a image of raster type and then import it in FlatCAM.")
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)
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grid0.addWidget(self.import_button, 18, 0, 1, 2)
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self.layout.addStretch(1)
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self.on_image_type(val=False)
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# #################################### FINSIHED GUI ###########################
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# #############################################################################
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def on_image_type(self, val):
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if val == 'color':
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self.mask_r_label.setDisabled(False)
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self.mask_r_entry.setDisabled(False)
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self.mask_g_label.setDisabled(False)
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self.mask_g_entry.setDisabled(False)
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self.mask_b_label.setDisabled(False)
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self.mask_b_entry.setDisabled(False)
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self.mask_bw_label.setDisabled(True)
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self.mask_bw_entry.setDisabled(True)
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else:
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self.mask_r_label.setDisabled(True)
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self.mask_r_entry.setDisabled(True)
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self.mask_g_label.setDisabled(True)
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self.mask_g_entry.setDisabled(True)
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self.mask_b_label.setDisabled(True)
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self.mask_b_entry.setDisabled(True)
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self.mask_bw_label.setDisabled(False)
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self.mask_bw_entry.setDisabled(False)
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def confirmation_message(self, accepted, minval, maxval):
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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)
|