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eval.py
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eval.py
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import os
import cv2
import numpy as np
import subprocess
from util.config import config as cfg
from util.misc import mkdirs
def osmkdir(out_dir):
import shutil
if os.path.exists(out_dir):
shutil.rmtree(out_dir)
os.makedirs(out_dir)
def analysize_result(source_dir, fid_path, outpt_dir, name):
bad_txt = open("{}/eval.txt".format(outpt_dir), 'w')
all_eval = open("{}/{}/{}_eval.txt".format(cfg.output_dir, "Analysis", name), 'a+')
sel_list = list()
with open(fid_path) as f:
lines = f.read().split("\n")
for line in lines:
line_items = line.split(" ")
id = line_items[0]
precision = float(line_items[2].split('=')[-1])
recall = float(line_items[4].split('=')[-1])
if id != "ALL" and (precision < 0.5 or recall < 0.5):
img_path = os.path.join(source_dir, line_items[0].replace(".txt", ".jpg"))
if os.path.exists(img_path):
os.system('cp {} {}'.format(img_path, outpt_dir))
sel_list.append((int(id.replace(".txt", "").replace("img", "").replace("_", "")), line))
if id == "ALL":
all_eval.write("{} {} {}\n".format(
outpt_dir.split('/')[-1],
"{}/{}".format(cfg.threshold, cfg.score_i),
line))
sel_list = sorted(sel_list, key=lambda its: its[0])
bad_txt.write('\n'.join([its[1] for its in sel_list]))
all_eval.close()
bad_txt.close()
def deal_eval_total_text(debug=False):
# compute DetEval
eval_dir = os.path.join(cfg.output_dir, "Analysis", "output_eval")
if not os.path.exists(eval_dir):
os.makedirs(eval_dir)
print('Computing DetEval in {}/{}'.format(cfg.output_dir, cfg.exp_name))
subprocess.call(
['python', 'dataset/total_text/Evaluation_Protocol/Python_scripts/Deteval.py', cfg.exp_name, '--tr', '0.7',
'--tp', '0.6'])
subprocess.call(
['python', 'dataset/total_text/Evaluation_Protocol/Python_scripts/Deteval.py', cfg.exp_name, '--tr', '0.8',
'--tp', '0.4'])
if debug:
source_dir = os.path.join(cfg.vis_dir, '{}_test'.format(cfg.exp_name))
outpt_dir_base = os.path.join(cfg.output_dir, "Analysis", "eval_view", "total_text")
if not os.path.exists(outpt_dir_base):
mkdirs(outpt_dir_base)
outpt_dir1 = os.path.join(outpt_dir_base, "{}_{}_{}_{}_{}"
.format(cfg.test_size[0], cfg.test_size[1], cfg.checkepoch, 0.7, 0.6))
osmkdir(outpt_dir1)
fid_path1 = '{}/Eval_TotalText_{}_{}.txt'.format(eval_dir, 0.7, 0.6)
analysize_result(source_dir, fid_path1, outpt_dir1, "totalText")
outpt_dir2 = os.path.join(outpt_dir_base, "{}_{}_{}_{}_{}"
.format(cfg.test_size[0], cfg.test_size[1], cfg.checkepoch, 0.8, 0.4))
osmkdir(outpt_dir2)
fid_path2 = '{}/Eval_TotalText_{}_{}.txt'.format(eval_dir, 0.8, 0.4)
analysize_result(source_dir, fid_path2, outpt_dir2, "totalText")
print('End.')
def deal_eval_ctw1500(debug=False):
# compute DetEval
eval_dir = os.path.join(cfg.output_dir, "Analysis", "output_eval")
if not os.path.exists(eval_dir):
os.makedirs(eval_dir)
print('Computing DetEval in {}/{}'.format(cfg.output_dir, cfg.exp_name))
subprocess.call(['python', 'dataset/ctw1500/Evaluation_Protocol/ctw1500_eval.py', cfg.exp_name])
if debug:
source_dir = os.path.join(cfg.vis_dir, '{}_test'.format(cfg.exp_name))
outpt_dir_base = os.path.join(cfg.output_dir, "Analysis", "eval_view", "ctw1500")
if not os.path.exists(outpt_dir_base):
mkdirs(outpt_dir_base)
outpt_dir = os.path.join(outpt_dir_base, "{}_{}_{}".format(cfg.test_size[0], cfg.test_size[1], cfg.checkepoch))
osmkdir(outpt_dir)
fid_path1 = '{}/Eval_ctw1500_{}.txt'.format(eval_dir, 0.5)
analysize_result(source_dir, fid_path1, outpt_dir, "ctw1500")
print('End.')
def deal_eval_icdar15(debug=False):
# compute DetEval
eval_dir = os.path.join(cfg.output_dir, "Analysis", "output_eval")
if not os.path.exists(eval_dir):
os.makedirs(eval_dir)
input_dir = 'output/{}'.format(cfg.exp_name)
father_path = os.path.abspath(input_dir)
print(father_path)
print('Computing DetEval in {}/{}'.format(cfg.output_dir, cfg.exp_name))
subprocess.call(['sh', 'dataset/icdar15/eval.sh', father_path])
if debug:
source_dir = os.path.join(cfg.vis_dir, '{}_test'.format(cfg.exp_name))
outpt_dir_base = os.path.join(cfg.output_dir, "Analysis", "eval_view", "icdar15")
if not os.path.exists(outpt_dir_base):
mkdirs(outpt_dir_base)
outpt_dir = os.path.join(outpt_dir_base, "{}_{}_{}".format(cfg.test_size[0], cfg.test_size[1], cfg.checkepoch))
osmkdir(outpt_dir)
fid_path1 = '{}/Eval_icdar15.txt'.format(eval_dir)
analysize_result(source_dir, fid_path1, outpt_dir, "icdar15")
print('End.')
pass
def deal_eval_TD500(debug=False):
# compute DetEval
eval_dir = os.path.join(cfg.output_dir, "Analysis", "output_eval")
if not os.path.exists(eval_dir):
os.makedirs(eval_dir)
input_dir = 'output/{}'.format(cfg.exp_name)
father_path = os.path.abspath(input_dir)
print(father_path)
print('Computing DetEval in {}/{}'.format(cfg.output_dir, cfg.exp_name))
subprocess.call(['sh', 'dataset/TD500/eval.sh', father_path])
if debug:
source_dir = os.path.join(cfg.vis_dir, '{}_test'.format(cfg.exp_name))
outpt_dir_base = os.path.join(cfg.output_dir, "Analysis", "eval_view", "TD500")
if not os.path.exists(outpt_dir_base):
mkdirs(outpt_dir_base)
outpt_dir = os.path.join(outpt_dir_base, "{}_{}_{}".format(cfg.test_size[0], cfg.test_size[1], cfg.checkepoch))
osmkdir(outpt_dir)
fid_path1 = '{}/Eval_TD500.txt'.format(eval_dir)
analysize_result(source_dir, fid_path1, outpt_dir, "TD500")
print('End.')
def data_transfer_ICDAR(contours):
cnts = list()
for cont in contours:
rect = cv2.minAreaRect(cont)
if min(rect[1][0], rect[1][1]) <=8 :
continue
#rect=(rect[0],(rect[1][0]-3, rect[1][1]-3), rect[2])
points = cv2.boxPoints(rect)
points = np.int0(points)
# print(points.shape)
# points = np.reshape(points, (4, 2))
cnts.append(points)
return cnts
def data_transfer_TD500(contours, res_file, img=None):
with open(res_file, 'w') as f:
for cont in contours:
rect = cv2.minAreaRect(cont)
if min(rect[1][0], rect[1][1]) <= 8:
continue
points = cv2.boxPoints(rect)
box = np.int0(points)
cv2.drawContours(img, [box], 0, (0, 255, 0), 3)
cx, cy = rect[0]
w_, h_ = rect[1]
w_ = w_ -4
h_ = h_ -4
angle = rect[2]
mid_ = 0
if angle > 45:
angle = 90 - angle
mid_ = w_;
w_ = h_;
h_ = mid_
elif angle < -45:
angle = 90 + angle
mid_ = w_;
w_ = h_;
h_ = mid_
angle = angle / 180 * 3.141592653589
x_min = int(cx - w_ / 2)
x_max = int(cx + w_ / 2)
y_min = int(cy - h_ / 2)
y_max = int(cy + h_ / 2)
f.write('{},{},{},{},{}\r\n'.format(x_min, y_min, x_max, y_max, angle))
return img
def data_transfer_MLT2017(contours, res_file):
with open(res_file, 'w') as f:
for cont in contours:
rect = cv2.minAreaRect(cont)
# if min(rect[1][0], rect[1][1]) <= 8:
# continue
points = cv2.boxPoints(rect)
points = np.int0(points)
p = np.reshape(points, -1)
f.write('{},{},{},{},{},{},{},{},{}\r\n'
.format(p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], 1))