def on_ok_display_params(self, widget, fields):
def set_legend(text):
pass
core.display(
fields["ts_filename_chooser"].get_filenames()[0],
self.get_parser_by_index(fields["ts_parser_combo"].get_active()),
fields["gt_filename_chooser"].get_filenames()[0],
self.get_parser_by_index(fields["gt_parser_combo"].get_active()),
None, self.main_viewport, set_legend)
def on_ok_display_params(self, widget, fields):
def set_legend(text):
pass
core.display(fields["ts_filename_chooser"].get_filenames()[0],
self.get_parser_by_index(fields["ts_parser_combo"]
.get_active()),
fields["gt_filename_chooser"].get_filenames()[0],
self.get_parser_by_index(fields["gt_parser_combo"]
.get_active()),
None, self.main_viewport, set_legend)
def main():
(size, start, end, heuristic, force) = core.init()
if not isSolvable(start, size, end):
print("This puzzle is not solvable")
sys.exit()
nSelectedStates, nMaxStates, solution = solve.solve(
size, start, end, heuristic, force)
nStates, solution = solution
for state in solution:
core.display(state)
print("Total number of states ever selected in open set: {:d}".format(
nSelectedStates))
print(
"Maximum number of states ever represented in memory at the same time: {:d}"
.format(nMaxStates))
print("Number of moves required to solve the puzzle: {:d}".format(nStates))
comparator = comparators.get_module(options.comparator)
comparator.set_param(options.comp_param)
print "Comparator: " + comparator.describe()
if mode == "input_file":
print core.single_scoring(toscore_filename, toscore_parser,
groundtruth_filename, groundtruth_parser,
comparator, gti)
elif mode == "display":
comparator = None
if options.comparator != None:
comparator = comparators.get_module(options.comparator)
comparator.set_param(options.comp_param)
core.display(toscore_filename, toscore_parser, groundtruth_filename,
groundtruth_parser, options.img_path, options.gtignore,
gti, None, None, comparator)
elif mode == "ROC" or mode == "DET":
(multi_result,
ts) = core.multi_scoring(toscore_filename, toscore_parser,
groundtruth_filename, groundtruth_parser,
comparator, options.crawl, options.sampling,
options.confidence_min, gti)
if mode == "ROC":
core.plot_ROC(groundtruth_parser, len(ts), multi_result,
options.saving_file, options.show_curve,
options.xmin, options.ymin, options.xmax,
options.ymax, options.grid_major, options.grid_minor)
elif mode == "DET":
core.plot_DET(groundtruth_parser, len(ts), multi_result,
options.saving_file, options.show_curve,
comparator = comparators.get_module(options.comparator)
comparator.set_param(options.comp_param)
print "Comparator: " + comparator.describe()
if mode == "input_file":
print core.single_scoring(toscore_filename, toscore_parser,
groundtruth_filename, groundtruth_parser,
comparator, gti)
elif mode == "display":
comparator = None
if options.comparator != None:
comparator = comparators.get_module(options.comparator)
comparator.set_param(options.comp_param)
core.display(toscore_filename, toscore_parser,
groundtruth_filename, groundtruth_parser, options.img_path,
options.gtignore, gti, None, None, comparator)
elif mode == "ROC" or mode == "DET":
(multi_result, ts) = core.multi_scoring(toscore_filename,
toscore_parser,
groundtruth_filename,
groundtruth_parser, comparator,
options.crawl, options.sampling,
options.confidence_min,
gti)
if mode == "ROC":
core.plot_ROC(groundtruth_parser, len(ts), multi_result,
options.saving_file, options.show_curve,
options.xmin, options.ymin, options.xmax,
options.ymax, options.grid_major, options.grid_minor)
elif mode == "DET":
