gt_list = []
map_name = ['1920-1.png', '1920-2.png', '1920-3.png', '1920-4.png', '1920-5.png',
'1920-6.png', '1920-7.png', '1920-8.png', '1920-9.png', '1920-10.png']
found_gt_num = 0
correct_num = 0
discard_num = 0
strabo_num = 0
for m in range(1, 11):
groundTruthFile = './GroundTruths/' + map_name[m-1].split('.')[0] + '.geojson'
result_file = './rsh_rs/' + map_name[m-1] + 'ByPixels.txt'
result_obj = GeoJsonReader.load_json_file(result_file)
result_rect_list = GeoJsonReader.get_result_rectangles(result_obj)
gt_obj = GeoJsonReader.load_json_file(groundTruthFile)
gt_list = GeoJsonReader.get_ground_truth_list(gt_obj, 1, 1)
word_locations = map_words_locations[m]
for idw, rect in enumerate(word_locations):
word_list = map_aligned_list[m][idw]
discard_list = map_discard_list[m][idw]
result_text = ''
rect_idx = 0
for result_rect in result_rect_list:
if result_rect.is_the_same_rect(rect):
result_text = result_rect.text
break
def evaluate_result(gt_obj, result_obj, group_para=0, scale_w=1, scale_h=1):
gt_list = GeoJsonReader.get_ground_truth_list(gt_obj, scale_w, scale_h)
result_rect_list = GeoJsonReader.get_result_rectangles(result_obj)
return ResultEvaluation.evaluation_simple(result_rect_list, gt_list, area_threshold=0.7, group_para=group_para)
