def save_selection_to_file(self, filename, *l):
if not self.selected_count:
self.recognizer.export_gesture(filename=filename)
else:
tmpgdb = Recognizer()
for i in self.ids.gesture_list.children:
if i.ids.select.state == 'down':
for g in i.gesture_list:
tmpgdb.db.append(g)
tmpgdb.export_gesture(filename=filename)
def save_selection_to_file(self, filename, *l):
if not self.selected_count:
self.recognizer.export_gesture(filename=filename)
else:
tmpgdb = Recognizer()
for i in self.ids.gesture_list.children:
if i.ids.select.state == 'down':
for g in i.gesture_list:
tmpgdb.db.append(g)
tmpgdb.export_gesture(filename=filename)
def test_export_import_case_1(self):
gdb1 = Recognizer(db=[self.Ninvar])
gdb2 = Recognizer()
g = gdb1.export_gesture(name='N')
gdb2.import_gesture(g)
r = gdb2.recognize([Ncandidate], max_gpf=0)
self.assertEqual(r.best['name'], 'N')
self.assertTrue(r.best['score'] > 0.94 and r.best['score'] < 0.95)
def test_export_import_case_1(self):
gdb1 = Recognizer(db=[self.Ninvar])
gdb2 = Recognizer()
g = gdb1.export_gesture(name='N')
gdb2.import_gesture(g)
r = gdb2.recognize([Ncandidate], max_gpf=0)
self.assertEqual(r.best['name'], 'N')
self.assertTrue(r.best['score'] > 0.94 and r.best['score'] < 0.95)
def test_export_import_case_2(self):
from tempfile import mkstemp
import os
gdb1 = Recognizer(db=[self.Ninvar, self.Tinvar])
gdb2 = Recognizer()
fh, fn = mkstemp()
os.close(fh)
g = gdb1.export_gesture(name='N', filename=fn)
gdb2.import_gesture(filename=fn)
os.unlink(fn)
self.assertEqual(len(gdb1.db), 2)
self.assertEqual(len(gdb2.db), 1)
r = gdb2.recognize([Ncandidate], max_gpf=0)
self.assertEqual(r.best['name'], 'N')
self.assertTrue(r.best['score'] > 0.94 and r.best['score'] < 0.95)
def test_export_import_case_2(self):
from tempfile import mkstemp
import os
gdb1 = Recognizer(db=[self.Ninvar, self.Tinvar])
gdb2 = Recognizer()
fh, fn = mkstemp()
os.close(fh)
g = gdb1.export_gesture(name='N', filename=fn)
gdb2.import_gesture(filename=fn)
os.unlink(fn)
self.assertEqual(len(gdb1.db), 2)
self.assertEqual(len(gdb2.db), 1)
r = gdb2.recognize([Ncandidate], max_gpf=0)
self.assertEqual(r.best['name'], 'N')
self.assertTrue(r.best['score'] > 0.94 and r.best['score'] < 0.95)
