proceed_sets = set()
score_writer = csv.DictWriter(scorefile, fieldnames=fieldnames2)
score_writer.writeheader()
rect_writer = csv.DictWriter(rect_precision_file, fieldnames=fieldnames)
rect_writer.writeheader()
# Read Ground Truth.
map_gt_list = [];
for m in range(1, 11):
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']
groundTruthFile = './GroundTruths/' + map_name[m - 1].split('.')[0] + '.geojson'
gt_obj = GeoJsonReader.load_json_file(groundTruthFile)
gt_list = GeoJsonReader.get_ground_truth_list(gt_obj, 1, 1)
map_gt_list.append(gt_list)
candidate_file = './narges result/candidates'
cf = open(candidate_file, 'r')
map_feature_list = []
map_result_obj_features = []
map_result_feature_count = []
map_result_rects = []
# Read result files.
count = 0
for i in range(1, MAP_NUM):
result_file_name = './narges result/1920-' + str(i) + '.png_EdditedByPixels.txt'
from Evaluation import GeoJsonReader
import csv
if __name__ == '__main__':
csv_output = open('narges_original_text.csv', 'wt');
csv_writer = csv.writer(csv_output)
count = 0
for i in range(1, 11):
result_file_name = './narges result/1920-' + str(i) + '.png_EdditedByPixels.txt'
result_obj = GeoJsonReader.load_json_file(result_file_name)
for feature in result_obj['features']:
text = feature['NameBeforeDictionary']
text.replace(',', '')
text.replace('\n', ' ')
csv_writer.writerow([text])
count += 1
writer.writeheader()
csvwrite2 = open('Log2.csv', 'w')
writer2 = csv.DictWriter(csvwrite2, fieldnames=fieldnames)
writer2.writeheader()
for i in range(0, 10):
mn = map_name[i]
print('eval ', mn)
with open('./scores.csv') as csvfile:
reader = csv.reader(csvfile, delimiter=',', quotechar='|')
prev_result_file = './rsh_rs/' + map_name[i] + 'ByPixels.txt'
groundTruthFile = './GroundTruths/' + map_name[i].split('.')[0] + '.geojson'
prev_result_obj = GeoJsonReader.load_json_file(prev_result_file)
gt_obj = GeoJsonReader.load_json_file(groundTruthFile)
gt_list = GeoJsonReader.get_ground_truth_list(gt_obj, 1, 1)
prev_result_rect_list = GeoJsonReader.get_result_rectangles(prev_result_obj)
print('First eval')
overlap_json, non_overlap_json, precision_list, recall_list, extracted_num_list, gt_num_list = \
ResultEvaluation.evaluation_simple(prev_result_rect_list, gt_list, area_threshold=0.6, group_para=0)
# final_list = []
delete_list = []
for j, rect in enumerate(prev_result_rect_list):
found_reverse = False
for k, rect2 in enumerate(prev_result_rect_list):
