def get_bottom(blobs):
closest = []
for blob in blobs:
nodes = utility.convert_to_easy_array(blob.load())
closest.append(nodes[utility.closest_node((92, 92), nodes)])
return utility.closest_node((0, 184), closest)
def compare_rows_or_cols(scores, init_set, solution_set, solutions):
abc_pixel_count = algorithm.fill_ratio(init_set[0]) + algorithm.fill_ratio(init_set[1]) \
+ algorithm.fill_ratio(init_set[2])
abc_shape_count = algorithm.find_regions(init_set[0]) + algorithm.find_regions(init_set[1]) \
+ algorithm.find_regions(init_set[2])
gh_pixel_count = algorithm.fill_ratio(
solution_set[0]) + algorithm.fill_ratio(solution_set[1])
gh_shape_count = algorithm.find_regions(
solution_set[0]) + algorithm.find_regions(solution_set[1])
possible_answers = []
for i, score in enumerate(scores):
if score != 0.0:
possible_answers.append((i, solutions[i]))
comparisons = []
for answer in possible_answers:
x = (gh_pixel_count + algorithm.fill_ratio(answer[1]),
len(gh_shape_count) + len(algorithm.find_regions(answer[1])))
comparisons.append(x)
x = (abc_pixel_count, len(abc_shape_count))
closest = utility.closest_node(x, comparisons)
return (possible_answers[closest][0], possible_answers[closest][1])
def compare_rows_or_cols(scores, init_set, solution_set, solutions):
abc_pixel_count = algorithm.fill_ratio(init_set[0]) + algorithm.fill_ratio(init_set[1]) \
+ algorithm.fill_ratio(init_set[2])
abc_shape_count = algorithm.find_regions(init_set[0]) + algorithm.find_regions(init_set[1]) \
+ algorithm.find_regions(init_set[2])
gh_pixel_count = algorithm.fill_ratio(solution_set[0]) + algorithm.fill_ratio(solution_set[1])
gh_shape_count = algorithm.find_regions(solution_set[0]) + algorithm.find_regions(solution_set[1])
possible_answers = []
for i, score in enumerate(scores):
if score != 0.0:
possible_answers.append( (i, solutions[i]))
comparisons = []
for answer in possible_answers:
x = (gh_pixel_count + algorithm.fill_ratio(answer[1]), len(gh_shape_count) + len(algorithm.find_regions(answer[1])) )
comparisons.append(x)
x = (abc_pixel_count, len(abc_shape_count))
closest = utility.closest_node(x, comparisons)
return (possible_answers[closest][0], possible_answers[closest][1])
