def do_generate_control_points_by_pair(self, pair, image_fn_pair): '''high level function uses by sub-stitches. Given a pair of images make a best effort to return a .pto object''' ''' pair: ImageCoordinatePair() object image_fn_pair: tuple of strings Algorithm: First try to stitch normally (either whole image or partial depending on the mode) If that doesn't succeed and softening is enabled try up to three times to soften to produce a match If that still doesn't produce a decent solution return None and let higher levels deal with ''' soften_iterations = 3 print print #print 'Generating project for image pair (%s / %s, %s / %s)' % (image_fn_pair[0], str(pair[0]), image_fn_pair[1], str(pair[1])) print 'Generating project for image pair (%s, %s)' % (image_fn_pair[0], image_fn_pair[1]) if True: # Try raw initially print 'Attempting sharp match...' ret_project = self.try_control_points_with_position(pair, image_fn_pair) if ret_project: return ret_project print 'WARNING: bad project, attempting soften...' soften_image_file_0_managed = ManagedTempFile.from_same_extension(image_fn_pair[0]) soften_image_file_1_managed = ManagedTempFile.from_same_extension(image_fn_pair[1]) softener = Softener() first_run = True for i in range(0, soften_iterations): # And then start screwing with it # Wonder if we can combine features from multiple soften passes? # Or at least take the maximum # Do features get much less accurate as the soften gets up there? print 'Attempting soften %d / %d' % (i + 1, soften_iterations) if first_run: softener.run(image_fn_pair[0], soften_image_file_0_managed.file_name) softener.run(image_fn_pair[1], soften_image_file_1_managed.file_name) else: softener.run(soften_image_file_0_managed.file_name) softener.run(soften_image_file_1_managed.file_name) pair_soften_image_file_names = (soften_image_file_0_managed.file_name, soften_image_file_1_managed.file_name) ret_project = self.try_control_points_with_position(pair, pair_soften_image_file_names) # Did we win? if ret_project: # Fixup the project to reflect the correct file names text = str(ret_project) print print 'Before sub' print print str(ret_project) print print print print '%s => %s' % (soften_image_file_0_managed.file_name, image_fn_pair[0]) text = text.replace(soften_image_file_0_managed.file_name, image_fn_pair[0]) print '%s => %s' % (soften_image_file_1_managed.file_name, image_fn_pair[1]) text = text.replace(soften_image_file_1_managed.file_name, image_fn_pair[1]) ret_project.set_text(text) print print 'After sub' print print str(ret_project) print print print #sys.exit(1) return ret_project first_run = False print 'WARNING: gave up on generating control points!' return None
def generate_control_points(self, pair, pair_images): soften_iterations = 3 if True: # Try raw initially ret_project = self.try_control_points(pair, pair_images) if ret_project: return ret_project print 'WARNING: bad project, attempting soften...' soften_image_file_0_managed = ManagedTempFile.from_same_extension(pair_images[0]) soften_image_file_1_managed = ManagedTempFile.from_same_extension(pair_images[1]) softener = Softener() first_run = True for i in range(0, soften_iterations): # And then start screwing with it # Wonder if we can combine features from multiple soften passes? # Or at least take the maximum # Do features get much less accurate as the soften gets up there? print 'Attempting soften %d / %d' % (i + 1, soften_iterations) if first_run: softener.run(pair_images[0], soften_image_file_0_managed.file_name) softener.run(pair_images[1], soften_image_file_1_managed.file_name) else: softener.run(soften_image_file_0_managed.file_name) softener.run(soften_image_file_1_managed.file_name) pair_soften_image_file_names = (soften_image_file_0_managed.file_name, soften_image_file_1_managed.file_name) ret_project = self.try_control_points(pair, pair_soften_image_file_names) # Did we win? if ret_project: # Fixup the project to reflect the correct file names text = ret_project.__repr__() print print 'Before sub' print print ret_project.__repr__() print print print print '%s => %s' % (soften_image_file_0_managed.file_name, pair_images[0]) text = text.replace(soften_image_file_0_managed.file_name, pair_images[0]) print '%s => %s' % (soften_image_file_1_managed.file_name, pair_images[1]) text = text.replace(soften_image_file_1_managed.file_name, pair_images[1]) ret_project.set_text(text) print print 'After sub' print print ret_project.__repr__() print print print #sys.exit(1) return ret_project first_run = False print 'WARNING: gave up on generating control points!' return None
