Spaces:
Sleeping
Sleeping
File size: 3,920 Bytes
0a96b76 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 |
# -*- coding: utf-8 -*-
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
import crop_images
import imgproc
import matplotlib.pyplot as plt
# borrowed from https://github.com/lengstrom/fast-style-transfer/blob/master/src/utils.py
def get_files(img_dir):
imgs, masks, xmls = list_files(img_dir)
return imgs, masks, xmls
def list_files(in_path):
img_files = []
mask_files = []
gt_files = []
for (dirpath, dirnames, filenames) in os.walk(in_path):
for file in filenames:
filename, ext = os.path.splitext(file)
ext = str.lower(ext)
if ext == '.jpg' or ext == '.jpeg' or ext == '.gif' or ext == '.png' or ext == '.pgm':
img_files.append(os.path.join(dirpath, file))
elif ext == '.bmp':
mask_files.append(os.path.join(dirpath, file))
elif ext == '.xml' or ext == '.gt' or ext == '.txt':
gt_files.append(os.path.join(dirpath, file))
elif ext == '.zip':
continue
# img_files.sort()
# mask_files.sort()
# gt_files.sort()
return img_files, mask_files, gt_files
def saveResult(img_file, img, boxes, dirname='Results', verticals=None, texts=None):
""" save text detection result one by one
Args:
img_file (str): image file name
img (array): raw image context
boxes (array): array of result file
Shape: [num_detections, 4] for BB output / [num_detections, 4] for QUAD output
Return:
None
"""
img = np.array(img)
# make result file list: tên ảnh và đuôi ảnh
filename, file_ext = os.path.splitext(os.path.basename(img_file))
# result directory
res_file = dirname + "res_" + filename + '.txt'
res_img_file = dirname + "res_" + filename + '.jpg'
if not os.path.isdir(dirname):
os.mkdir(dirname)
with open(res_file, 'w') as f:
for i, box in enumerate(boxes):
poly = np.array(box).astype(np.int32).reshape((-1))
strResult = ','.join([str(p) for p in poly]) + '\r\n'
f.write(strResult)
# bỏ comment đoạn này để có thể bounding box lại b
poly = poly.reshape(-1, 2)
# cv2.polylines(img, [poly.reshape((-1, 1, 2))], True, color=(0, 0, 255), thickness=2)
# ptColor = (0, 255, 255)
xmin = min(poly[:, 0])
xmax = max(poly[:, 0])
ymin = min(poly[:, 1])
ymax = max(poly[:, 1])
width = xmax - xmin
height = ymax - ymin
# các điểm này từ file txt
pts = np.array([[xmin, ymax], [xmax, ymax], [xmax, ymin], [xmin, ymin]])
word = crop_images.crop(pts, img)
folder = '/'.join(filename.split('/')[:-1])
# đầu tiên đây là folder cropWord
dir = 'cropWord/'
if os.path.isdir(os.path.join(dir + folder)) == False:
os.makedirs(os.path.join(dir + folder))
try:
file_name = os.path.join(dir + filename)
cv2.imwrite(file_name + str(i) + '.jpg', word)
except:
continue
if verticals is not None:
if verticals[i]:
ptColor = (255, 0, 0)
if texts is not None:
font = cv2.FONT_HERSHEY_SIMPLEX
font_scale = 0.5
cv2.putText(img, "{}".format(texts[i]), (poly[0][0] + 1, poly[0][1] + 1), font, font_scale, (0, 0, 0),
thickness=1)
cv2.putText(img, "{:.2f}".format(texts[i]), tuple(poly[0]), font, font_scale, (0, 255, 255),
thickness=1)
# Save result image
# cv2.imwrite(res_img_file, img)
|