# ##########################################################
# 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
from svgtrace import trace
from pyppeteer.chromium_downloader import check_chromium
from lxml import etree as ET
from appParsers.ParseSVG import svgparselength, svgparse_viewbox, getsvggeo, getsvgtext
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(lambda: 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.on_image_type(val=self.ui.image_type.get_value())
self.ui.min_area_entry.set_value(0.3)
self.ui.import_mode_radio.set_value('raster')
self.ui.on_import_image_mode(val=self.ui.import_mode_radio.get_value())
self.ui.control_radio.set_value('presets')
self.ui.on_tracing_control_radio(val=self.ui.control_radio.get_value())
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)
self.ui.error_lines_entry.set_value(1)
self.ui.error_splines_entry.set_value(0)
self.ui.path_omit_entry.set_value(8)
self.ui.enhance_rangle_cb.set_value(True)
self.ui.sampling_combo.set_value(0)
self.ui.nr_colors_entry.set_value(16)
self.ui.ratio_entry.set_value(0)
self.ui.cycles_entry.set_value(3)
self.ui.stroke_width_entry.set_value(1.0)
self.ui.line_filter_cb.set_value(False)
self.ui.rounding_entry.set_value(1)
self.ui.blur_radius_entry.set_value(1)
self.ui.blur_delta_entry.set_value(20)
def on_file_importimage(self, threaded=True):
"""
Callback for menu item File->Import IMAGE.
:return: None
"""
self.app.log.debug("on_file_importimage()")
import_mode = self.ui.import_mode_radio.get_value()
trace_options = self.ui.presets_combo.get_value() if self.ui.control_radio.get_value() == 'presets' else \
self.get_tracing_options()
type_obj = self.ui.tf_type_obj_combo.get_value()
dpi = self.ui.dpi_entry.get_value()
mode = self.ui.image_type.get_value()
min_area = self.ui.min_area_entry.get_value()
if import_mode == 'trace':
# check if Chromium is present, if not issue a warning
res = check_chromium()
if res is False:
msgbox = FCMessageBox(parent=self.app.ui)
title = _("Import warning")
txt = _("The tracing require Chromium,\n"
"but it was not detected.\n"
"\n"
"Do you want to download (about 300MB)?")
msgbox.setWindowTitle(title) # taskbar still shows it
msgbox.setWindowIcon(QtGui.QIcon(self.app.resource_location + '/app128.png'))
msgbox.setText('%s' % title)
msgbox.setInformativeText(txt)
msgbox.setIcon(QtWidgets.QMessageBox.Icon.Warning)
bt_yes = msgbox.addButton(_('Yes'), QtWidgets.QMessageBox.ButtonRole.YesRole)
bt_no = msgbox.addButton(_('No'), QtWidgets.QMessageBox.ButtonRole.NoRole)
msgbox.setDefaultButton(bt_yes)
msgbox.exec()
response = msgbox.clickedButton()
if response == bt_no:
self.app.inform.emit('[WARNING_NOTCL] %s' % _("Cancelled."))
return
self.app.inform.emit(_("Please be patient. Chromium is being downloaded in background.\n"
"The app will resume after it is installed."))
_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)
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:
if import_mode == 'trace':
# there are thread issues so I process this outside
svg_text = trace(filename, blackAndWhite=True if mode == 'black' else False, mode=trace_options)
else:
svg_text = None
if threaded is True:
self.app.worker_task.emit({'fcn': self.import_image,
'params': [
filename, import_mode, type_obj, dpi, mode, mask, svg_text, min_area]
})
else:
self.import_image(filename, import_mode, type_obj, dpi, mode, mask, svg_text, min_area)
def import_image(self, filename, import_mode, o_type=_("Gerber"), dpi=96, mode='black',
mask=None, svg_text=None, min_area=0.0, outname=None, silent=False):
"""
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 import_mode: The kind of image import to be done: 'raster' or 'trace'
:param o_type: type of FlatCAM object
:param dpi: dot per inch
:param mode: black or color
:param mask: dictate the level of detail
:param svg_text: a SVG string only for when tracing
:param outname: name for the resulting file
:param min_area: the minimum area for the imported polygons for them to be kept
:param silent: bool: if False then there are no messages issued to GUI
:return:
"""
self.app.defaults.report_usage("import_image()")
if not os.path.exists(filename):
if silent:
self.app.log.debug("File no longer available.")
else:
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:
if silent is False:
self.app.inform.emit('[ERROR_NOTCL] %s' % _("Only Geometry and Gerber objects are supported"))
return
def obj_init(geo_obj, app_obj):
app_obj.log.debug("ToolImage.import_image() -> importing image as: %s" % obj_type.capitalize())
if import_mode == 'raster':
image_geo = self.import_image_handler(filename, units=units, dpi=dpi, mode=mode, mask=mask)
else: # 'trace'
image_geo = self.import_image_as_trace_handler(svg_text=svg_text, obj_type=obj_type, units=units,
dpi=dpi)
if not image_geo:
app_obj.log.debug("ToolImage.import_image() -> empty geometry.")
return 'fail'
if image_geo == 'fail':
if silent is False:
app_obj.inform.emit("[ERROR_NOTCL] %s" % _("Failed."))
return "fail"
geo_obj.multigeo = False
geo_obj.multitool = False
# flatten the geo_obj.solid_geometry list
geo_obj.solid_geometry = list(self.flatten_list(image_geo))
geo_obj.solid_geometry = [p for p in geo_obj.solid_geometry if p and p.is_valid and p.area >= min_area]
if obj_type == 'geometry':
tooldia = float(self.app.options["tools_mill_tooldia"])
tooldia = float('%.*f' % (self.decimals, tooldia))
new_data = {k: v for k, v in self.app.options.items()}
geo_obj.tools.update({
1: {
'tooldia': tooldia,
'data': deepcopy(new_data),
'solid_geometry': deepcopy(geo_obj.solid_geometry)
}
})
geo_obj.tools[1]['data']['name'] = name
else: # 'gerber'
if 0 not in geo_obj.tools:
geo_obj.tools[0] = {
'type': 'REG',
'size': 0.0,
'geometry': []
}
try:
w_geo = geo_obj.solid_geometry.geoms if \
isinstance(geo_obj.solid_geometry, (MultiLineString, MultiPolygon)) else geo_obj.solid_geometry
for pol in w_geo:
new_el = {'solid': pol, 'follow': LineString(pol.exterior.coords)}
geo_obj.tools[0]['geometry'].append(new_el)
except TypeError:
new_el = {
'solid': geo_obj.solid_geometry,
'follow': LineString(geo_obj.solid_geometry.exterior.coords) if
isinstance(geo_obj.solid_geometry, Polygon) else geo_obj.solid_geometry
}
geo_obj.tools[0]['geometry'].append(new_el)
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
if silent is False:
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: App 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 import_image_as_trace_handler(self, svg_text, obj_type, flip=True, units='MM', dpi=96):
"""
Imports shapes from an IMAGE file into the object's geometry.
:param svg_text: A SVG text object
:type svg_text: str
:param obj_type: the way the image is imported. As: 'gerber' or 'geometry' objects
:type obj_type: str
:param flip: Flip the object vertically.
:type flip: bool
:param units: App units
:type units: str
:param dpi: dots per inch on the imported image
:return: None
"""
# Parse into list of shapely objects
# svg_tree = ET.parse(filename)
# svg_root = svg_tree.getroot()
svg_root = ET.fromstring(svg_text)
# Change origin to bottom left
# h = float(svg_root.get('height'))
# w = float(svg_root.get('width'))
svg_parsed_dims = svgparselength(svg_root.get('height'))
h = svg_parsed_dims[0]
svg_units = svg_parsed_dims[1]
if svg_units in ['em', 'ex', 'pt', 'px']:
self.app.log.error("ToolImage.import_image_as_trace_handler(). SVG units not supported: %s" % svg_units)
return "fail"
res = self.app.options['geometry_circle_steps']
factor = svgparse_viewbox(svg_root)
if svg_units == 'cm':
factor *= 10
geos = getsvggeo(svg_root, obj_type, units=units, res=res, factor=factor, app=self.app)
if geos is None:
return 'fail'
self.app.log.debug("ToolImage.import_image_as_trace_handler(). Finished parsing the SVG geometry.")
geos_text = getsvgtext(svg_root, obj_type, app=self.app, units=units)
if geos_text is not None:
self.app.log.debug("ToolImage.import_image_as_trace_handler(). Processing SVG text.")
geos_text_f = []
if flip:
# Change origin to bottom left
for i in geos_text:
__, minimy, __, maximy = i.bounds
h2 = (maximy - minimy) * 0.5
geos_text_f.append(translate(scale(i, 1.0, -1.0, origin=(0, 0)), yoff=(h + h2)))
if geos_text_f:
geos += geos_text_f
if flip:
geos = [translate(scale(g, 1.0, -1.0, origin=(0, 0))) for g in geos]
self.app.log.debug("ToolImage.import_image_as_trace_handler(). SVG geometry was flipped.")
scale_factor = 25.4 / dpi if units.lower() == 'mm' else 1 / dpi
geos = [translate(scale(g, scale_factor, scale_factor, origin=(0, 0))) for g in geos]
return geos
def get_tracing_options(self):
opt_dict = {
'ltres': self.ui.error_lines_entry.get_value(),
'qtres': self.ui.error_splines_entry.get_value(),
'pathomit': self.ui.path_omit_entry.get_value(),
'rightangleenhance': self.ui.enhance_rangle_cb.get_value(),
'colorsampling': self.ui.sampling_combo.get_value(),
'numberofcolors': self.ui.nr_colors_entry.get_value(),
'mincolorratio': self.ui.ratio_entry.get_value(),
'colorquantcycles': self.ui.cycles_entry.get_value(),
'strokewidth': self.ui.stroke_width_entry.get_value(),
'linefilter': self.ui.line_filter_cb.get_value(),
'roundcoords': self.ui.rounding_entry.get_value(),
'blurradius': self.ui.blur_radius_entry.get_value(),
'blurdelta': self.ui.blur_delta_entry.get_value()
}
dict_as_string = '{ '
for k, v in opt_dict.items():
dict_as_string += "%s:%s, " % (str(k), str(v))
# remove last comma and space and add the terminator
dict_as_string = dict_as_string[:-2] + ' }'
return dict_as_string
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)
self.param_lbl = FCLabel('%s' % _("Parameters"), color='blue', bold=True)
self.layout.addWidget(self.param_lbl)
# #############################################################################################################
# ######################################## Parameters #########################################################
# #############################################################################################################
# add a frame and inside add a grid box layout.
par_frame = FCFrame()
self.layout.addWidget(par_frame)
par_grid = GLay(v_spacing=5, h_spacing=3)
par_frame.setLayout(par_grid)
# Type of object to create for the image
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.")
)
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"))
par_grid.addWidget(self.tf_type_obj_combo_label, 0, 0)
par_grid.addWidget(self.tf_type_obj_combo, 0, 1, 1, 2)
# 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."))
par_grid.addWidget(self.dpi_label, 2, 0)
par_grid.addWidget(self.dpi_entry, 2, 1, 1, 2)
# Area
area_lbl = FCLabel('%s' % _("Area"), bold=True)
area_lbl.setToolTip(
_("Polygons inside the image with less area are discarded.")
)
self.min_area_entry = FCDoubleSpinner()
self.min_area_entry.set_range(0.0000, 10000.0000)
self.min_area_entry.setSingleStep(0.1)
self.min_area_entry.set_value(0.0)
a_units = _("mm") if self.app.app_units == 'MM' else _("in")
area_units_lbl = FCLabel('%s2' % a_units)
par_grid.addWidget(area_lbl, 4, 0)
par_grid.addWidget(self.min_area_entry, 4, 1)
par_grid.addWidget(area_units_lbl, 4, 2)
# Type of image interpretation
self.image_type_label = FCLabel('%s:' % _('Image type'), bold=True)
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.")
)
self.image_type = RadioSet([{'label': 'B/W', 'value': 'black'},
{'label': 'Color', 'value': 'color'}])
par_grid.addWidget(self.image_type_label, 6, 0)
par_grid.addWidget(self.image_type, 6, 1, 1, 2)
# The import Mode
self.import_mode_lbl = FCLabel('%s:' % _('Mode'), color='red', bold=True)
self.import_mode_lbl.setToolTip(
_("Choose a method for the image interpretation.\n"
"B/W means a black & white image. Color means a colored image.")
)
self.import_mode_radio = RadioSet([
{'label': 'Raster', 'value': 'raster'},
{'label': 'Tracing', 'value': 'trace'}
])
mod_grid = GLay(v_spacing=5, h_spacing=3)
self.layout.addLayout(mod_grid)
mod_grid.addWidget(self.import_mode_lbl, 0, 0)
mod_grid.addWidget(self.import_mode_radio, 0, 1)
# #############################################################################################################
# ######################################## Raster Mode ########################################################
# #############################################################################################################
# add a frame and inside add a grid box layout.
self.raster_frame = FCFrame()
self.layout.addWidget(self.raster_frame)
raster_grid = GLay(v_spacing=5, h_spacing=3)
self.raster_frame.setLayout(raster_grid)
self.detail_label = FCLabel("%s:" % _('Level of detail'))
raster_grid.addWidget(self.detail_label, 0, 0, 1, 2)
# 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).")
)
raster_grid.addWidget(self.mask_bw_label, 2, 0)
raster_grid.addWidget(self.mask_bw_entry, 2, 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.")
)
raster_grid.addWidget(self.mask_r_label, 4, 0)
raster_grid.addWidget(self.mask_r_entry, 4, 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.")
)
raster_grid.addWidget(self.mask_g_label, 6, 0)
raster_grid.addWidget(self.mask_g_entry, 6, 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.")
)
raster_grid.addWidget(self.mask_b_label, 8, 0)
raster_grid.addWidget(self.mask_b_entry, 8, 1)
# #############################################################################################################
# ######################################## Raster Mode ########################################################
# #############################################################################################################
# add a frame and inside add a grid box layout.
self.trace_frame = FCFrame()
self.layout.addWidget(self.trace_frame)
trace_grid = GLay(v_spacing=5, h_spacing=3)
self.trace_frame.setLayout(trace_grid)
# Options Control Mode
self.control_lbl = FCLabel('%s:' % _('Control'), color='indigo', bold=True)
self.control_lbl.setToolTip(
_("Tracing control.")
)
self.control_radio = RadioSet([
{'label': _("Presets"), 'value': 'presets'},
{'label': _("Options"), 'value': 'options'}
])
trace_grid.addWidget(self.control_lbl, 0, 0)
trace_grid.addWidget(self.control_radio, 0, 1)
# --------------------------------------------------
# Presets Frame
# --------------------------------------------------
self.preset_frame = QtWidgets.QFrame()
self.preset_frame.setContentsMargins(0, 0, 0, 0)
trace_grid.addWidget(self.preset_frame, 2, 0, 1, 2)
preset_grid = GLay(v_spacing=5, h_spacing=3)
preset_grid.setContentsMargins(0, 0, 0, 0)
self.preset_frame.setLayout(preset_grid)
# Presets
self.presets_lbl = FCLabel('%s:' % _('Presets'))
self.presets_lbl.setToolTip(
_("Options presets to control the tracing.")
)
self.presets_combo = FCComboBox()
self.presets_combo.addItems([
'default', 'posterized1', 'posterized2', 'posterized3', 'curvy', 'sharp', 'detailed', 'smoothed',
'grayscale', 'fixedpalette', 'randomsampling1', 'randomsampling2', 'artistic1', 'artistic2', 'artistic3',
'artistic4'
])
preset_grid.addWidget(self.presets_lbl, 0, 0)
preset_grid.addWidget(self.presets_combo, 0, 1)
# --------------------------------------------------
# Options Frame
# --------------------------------------------------
self.options_frame = QtWidgets.QFrame()
self.options_frame.setContentsMargins(0, 0, 0, 0)
trace_grid.addWidget(self.options_frame, 4, 0, 1, 2)
options_grid = GLay(v_spacing=5, h_spacing=3)
options_grid.setContentsMargins(0, 0, 0, 0)
self.options_frame.setLayout(options_grid)
# Error Threshold
self.error_lbl = FCLabel('%s' % _("Error Threshold"), bold=True)
self.error_lbl.setToolTip(
_("Error threshold for straight lines and quadratic splines.")
)
options_grid.addWidget(self.error_lbl, 0, 0, 1, 2)
# Error Threshold for Lines
self.error_lines_lbl = FCLabel('%s:' % _("Lines"))
self.error_lines_entry = FCDoubleSpinner()
self.error_lines_entry.set_precision(self.decimals)
self.error_lines_entry.set_range(0, 10)
self.error_lines_entry.setSingleStep(0.1)
options_grid.addWidget(self.error_lines_lbl, 2, 0)
options_grid.addWidget(self.error_lines_entry, 2, 1)
# Error Threshold for Splines
self.error_splines_lbl = FCLabel('%s:' % _("Splines"))
self.error_splines_entry = FCDoubleSpinner()
self.error_splines_entry.set_precision(self.decimals)
self.error_splines_entry.set_range(0, 10)
self.error_splines_entry.setSingleStep(0.1)
options_grid.addWidget(self.error_splines_lbl, 4, 0)
options_grid.addWidget(self.error_splines_entry, 4, 1)
# Enhance Right Angle
self.enhance_rangle_cb = FCCheckBox(_("Enhance R Angle"))
self.enhance_rangle_cb.setToolTip(
_("Enhance right angle corners.")
)
options_grid.addWidget(self.enhance_rangle_cb, 6, 0, 1, 2)
separator_line = QtWidgets.QFrame()
separator_line.setFrameShape(QtWidgets.QFrame.Shape.HLine)
separator_line.setFrameShadow(QtWidgets.QFrame.Shadow.Sunken)
options_grid.addWidget(separator_line, 8, 0, 1, 2)
# Noise Reduction
self.noise_lbl = FCLabel('%s' % _("Noise Reduction"), bold=True)
options_grid.addWidget(self.noise_lbl, 10, 0, 1, 2)
# Path Omit
self.path_omit_lbl = FCLabel('%s' % _("Path Omit"))
self.path_omit_lbl.setToolTip(
_("Edge node paths shorter than this will be discarded for noise reduction.")
)
self.path_omit_entry = FCSpinner()
self.path_omit_entry.set_range(0, 9999)
self.path_omit_entry.setSingleStep(1)
options_grid.addWidget(self.path_omit_lbl, 12, 0)
options_grid.addWidget(self.path_omit_entry, 12, 1)
# Line Filter
self.line_filter_cb = FCCheckBox(_("Line Filter"))
options_grid.addWidget(self.line_filter_cb, 14, 0, 1, 2)
separator_line = QtWidgets.QFrame()
separator_line.setFrameShape(QtWidgets.QFrame.Shape.HLine)
separator_line.setFrameShadow(QtWidgets.QFrame.Shadow.Sunken)
options_grid.addWidget(separator_line, 16, 0, 1, 2)
# Colors Section
self.colors_lbl = FCLabel('%s' % _("Colors"), bold=True)
options_grid.addWidget(self.colors_lbl, 18, 0, 1, 2)
# Sampling
self.samp_lbl = FCLabel('%s:' % _('Sampling'))
self.sampling_combo = FCComboBox2()
self.sampling_combo.addItems([_("Palette"), _("Random"), _("Deterministic")])
options_grid.addWidget(self.samp_lbl, 20, 0)
options_grid.addWidget(self.sampling_combo, 20, 1)
# Number of colors
self.nr_colors_lbl = FCLabel('%s' % _("Colors"))
self.nr_colors_lbl.setToolTip(
_("Number of colors to use on palette.")
)
self.nr_colors_entry = FCSpinner()
self.nr_colors_entry.set_range(0, 9999)
self.nr_colors_entry.setSingleStep(1)
options_grid.addWidget(self.nr_colors_lbl, 22, 0)
options_grid.addWidget(self.nr_colors_entry, 22, 1)
# Randomization Ratio
self.ratio_lbl = FCLabel('%s' % _("Ratio"))
self.ratio_lbl.setToolTip(
_("Color quantization will randomize a color if fewer pixels than (total pixels * ratio) has it.")
)
self.ratio_entry = FCSpinner()
self.ratio_entry.set_range(0, 10)
self.ratio_entry.setSingleStep(1)
options_grid.addWidget(self.ratio_lbl, 24, 0)
options_grid.addWidget(self.ratio_entry, 24, 1)
# Cycles of quantization
self.cycles_lbl = FCLabel('%s' % _("Cycles"))
self.cycles_lbl.setToolTip(
_("Color quantization will be repeated this many times.")
)
self.cycles_entry = FCSpinner()
self.cycles_entry.set_range(0, 20)
self.cycles_entry.setSingleStep(1)
options_grid.addWidget(self.cycles_lbl, 26, 0)
options_grid.addWidget(self.cycles_entry, 26, 1)
separator_line = QtWidgets.QFrame()
separator_line.setFrameShape(QtWidgets.QFrame.Shape.HLine)
separator_line.setFrameShadow(QtWidgets.QFrame.Shadow.Sunken)
options_grid.addWidget(separator_line, 28, 0, 1, 2)
# Parameters
self.par_lbl = FCLabel('%s' % _("Parameters"), bold=True)
options_grid.addWidget(self.par_lbl, 30, 0, 1, 2)
# Stroke width
self.stroke_width_lbl = FCLabel('%s' % _("Stroke"))
self.stroke_width_lbl.setToolTip(
_("Width of the stroke to be applied to the shape.")
)
self.stroke_width_entry = FCDoubleSpinner()
self.stroke_width_entry.set_precision(self.decimals)
self.stroke_width_entry.set_range(0.0000, 9999.0000)
self.stroke_width_entry.setSingleStep(0.1)
options_grid.addWidget(self.stroke_width_lbl, 32, 0)
options_grid.addWidget(self.stroke_width_entry, 32, 1)
# Rounding
self.rounding_lbl = FCLabel('%s' % _("Rounding"))
self.rounding_lbl.setToolTip(
_("Rounding coordinates to a given decimal place.")
)
self.rounding_entry = FCSpinner()
self.rounding_entry.set_range(0, 10)
self.rounding_entry.setSingleStep(1)
options_grid.addWidget(self.rounding_lbl, 34, 0)
options_grid.addWidget(self.rounding_entry, 34, 1)
separator_line = QtWidgets.QFrame()
separator_line.setFrameShape(QtWidgets.QFrame.Shape.HLine)
separator_line.setFrameShadow(QtWidgets.QFrame.Shadow.Sunken)
options_grid.addWidget(separator_line, 36, 0, 1, 2)
# Blur
self.blur_lbl = FCLabel('%s' % _("Blur"), bold=True)
options_grid.addWidget(self.blur_lbl, 38, 0, 1, 2)
# Radius
self.blur_radius_lbl = FCLabel('%s' % _("Radius"))
self.blur_radius_lbl.setToolTip(
_("Selective Gaussian blur preprocessing.")
)
self.blur_radius_entry = FCSpinner()
self.blur_radius_entry.set_range(0, 5)
self.blur_radius_entry.setSingleStep(1)
options_grid.addWidget(self.blur_radius_lbl, 40, 0)
options_grid.addWidget(self.blur_radius_entry, 40, 1)
# Delta
self.blur_delta_lbl = FCLabel('%s' % _("Delta"))
self.blur_delta_lbl.setToolTip(
_("RGBA delta threshold for selective Gaussian blur preprocessing.")
)
self.blur_delta_entry = FCDoubleSpinner()
self.blur_delta_entry.set_precision(self.decimals)
self.blur_delta_entry.set_range(0.0000, 9999.0000)
self.blur_delta_entry.setSingleStep(0.1)
options_grid.addWidget(self.blur_delta_lbl, 42, 0)
options_grid.addWidget(self.blur_delta_entry, 42, 1)
GLay.set_common_column_size([par_grid, mod_grid, raster_grid, trace_grid, preset_grid, options_grid], 0)
# Buttons
self.import_button = FCButton(_("Import image"))
self.import_button.setIcon(QtGui.QIcon(self.app.resource_location + '/image32.png'))
self.import_button.setToolTip(
_("Open a image of raster type and then import it in FlatCAM.")
)
self.layout.addWidget(self.import_button)
self.layout.addStretch(1)
# #################################### FINSIHED GUI ###########################
# #############################################################################
# Signals
self.import_mode_radio.activated_custom.connect(self.on_import_image_mode)
self.control_radio.activated_custom.connect(self.on_tracing_control_radio)
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 on_import_image_mode(self, val):
if val == 'raster':
self.raster_frame.show()
self.trace_frame.hide()
else:
self.raster_frame.hide()
self.trace_frame.show()
def on_tracing_control_radio(self, val):
if val == 'presets':
self.preset_frame.show()
self.options_frame.hide()
else:
self.preset_frame.hide()
self.options_frame.show()
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)