Kindai-OCR/evaluation.py

57 lines
2.3 KiB
Python
Raw Normal View History

2020-07-08 02:31:26 +00:00
from test import test_net
import time
import file_utils
import os
import imgproc
import cv2
from eval.icdar2015.script import eval_2015
from eval.icdar2013.script import eval_2013
def eval2013(craft, test_folder, result_folder, text_threshold=0.7, link_threshold=0.4, low_text=0.4):
image_list, _, _ = file_utils.get_files(test_folder)
t = time.time()
res_gt_folder = os.path.join(result_folder, 'gt')
res_mask_folder = os.path.join(result_folder, 'mask')
# load data
for k, image_path in enumerate(image_list):
print("Test image {:d}/{:d}: {:s}".format(k + 1, len(image_list), image_path), end='\n')
image = imgproc.loadImage(image_path)
bboxes, polys, score_text = test_net(craft, image, text_threshold, link_threshold, low_text, True, False, 980,
1.5, False)
# save score text
filename, file_ext = os.path.splitext(os.path.basename(image_path))
mask_file = os.path.join(res_mask_folder, "/res_" + filename + '_mask.jpg')
cv2.imwrite(mask_file, score_text)
file_utils.saveResult13(image_path, polys, dirname=res_gt_folder)
eval_2013(res_gt_folder)
print("elapsed time : {}s".format(time.time() - t))
def eval2015(craft, test_folder, result_folder, text_threshold=0.7, link_threshold=0.4, low_text=0.4):
image_list, _, _ = file_utils.get_files(test_folder)
t = time.time()
res_gt_folder = os.path.join(result_folder, 'gt')
res_mask_folder = os.path.join(result_folder, 'mask')
# load data
for k, image_path in enumerate(image_list):
print("Test image {:d}/{:d}: {:s}".format(k + 1, len(image_list), image_path), end='\n')
image = imgproc.loadImage(image_path)
bboxes, polys, score_text = test_net(craft, image, text_threshold, link_threshold, low_text, True, False, 2240,
1.5, False)
# save score text
filename, file_ext = os.path.splitext(os.path.basename(image_path))
mask_file = os.path.join(res_mask_folder, "/res_" + filename + '_mask.jpg')
cv2.imwrite(mask_file, score_text)
file_utils.saveResult15(image_path, polys, dirname=res_gt_folder)
eval_2015(os.path.join(result_folder, 'gt'))
print("elapsed time : {}s".format(time.time() - t))