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txt_draw_picture.py
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txt_draw_picture.py
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import os
import os.path
import xml.etree.cElementTree as ET
import cv2
import numpy as np
image_path = '/home/ubuntu/dataset/CVC-14-processed/Train/RGB/2014_05_04_15_42_53_069000_.tif'
# root_saved_path = '/home/ubuntu/dataset/CVC-14-processed/Test/Thermal_label/2014_05_01_22_22_42_020000_.txt/'
img = cv2.imread(image_path, 1)
# img = img.transpose(1,0,2)
# print(img.shape) # (512, 640, 3)
# exit()
# print(img)
# exit() 387 211 34 59
name = 'person'
file_name = 'xxx1'
f = open('/home/ubuntu/dataset/CVC-14-processed/Train/RGB_label_normalization/2014_05_04_15_42_53_069000_.txt', 'r')
# 505 212 20 50 0 0 0 0 0 0 0
txt = True
x_y_w_h = True
xmin_ymin_w_h = False
guiyihua = True
width_o = 670
height_o = 471
#
# width_o = 1
# height_o = 1
x_center = []
y_center = []
width = []
height = []
if txt:
# 256 211 42 110 48 206 38 88 535 230 46 110 403 223 29 59
# 286 211 45 110 106 212 33 77 74 207 35 86 140 222 31 62
f_lines = f.readlines()
# f_lines = f_lines[1:]
print(f_lines.__len__())
for item in f_lines:
item_split = item.split(' ')
# item_split = item_split[1:]
# print(item_split)
x_center.append(float(item_split[1]))
y_center.append(float(item_split[2]))
width.append(float(item_split[3]))
height.append(float(item_split[4]))
print(x_center,y_center,width,height)
# exit()
# exit()
if guiyihua:
x_center = np.array(x_center)*width_o
y_center = np.array(y_center)*height_o
width = np.array(width)*width_o
height = np.array(height)*height_o
else:
x_center = np.array(x_center)
y_center = np.array(y_center)
width = np.array(width)
height = np.array(height)
if x_y_w_h:
x_min = x_center - width/2
x_max = x_center + width/2
y_min = y_center - height / 2
y_max = y_center + height / 2
elif xmin_ymin_w_h:
x_min = x_center
x_max = x_center + width
y_min = y_center
y_max = y_center + height
print(x_min,x_max,y_min,y_max)
# exit()
for x1, x2, y1, y2 in zip(x_min, x_max, y_min, y_max):
x1 = int(x1)
x2 = int(x2)
y1 = int(y1)
y2 = int(y2)
cv2.rectangle(img, (x1, y1), (x2, y2), (255, 0, 0), thickness=2)
# 字为绿色
cv2.putText(img, name, (x1, y1), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), thickness=2)
else:
# 0.2921875 0.41796875 0.059375 0.14453125
x1 = 0.292187
y1 = 0.4179687
x2 = 0.059375
y2 = 0.1445312
# 352.0, 241.25, 40.5, 97.5
# 0.801451
x1_c = int(x1*640-x2*640)
x2_c = int(x1*640+x2*640)
y1_c = int(y1*512-y2*512)
y2_c = int(y1*512+y2*512)
cv2.rectangle(img, (x1_c, y1_c), (x2_c, y2_c), (255, 0, 0), thickness=2)
# 字为绿色
cv2.putText(img, name, (x1_c, y1_c), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), thickness=2)
cv2.imshow('aaa',img)
cv2.waitKey(0)
# cv2.imwrite(os.path.join(root_saved_path, file_name + '.jpg'), img)
#
#
# def draw(image_path, root_saved_path):
# """
# 图片根据标注画框
# """
# src_img_path = image_path
# # 获取 路径下的文件
# for file in os.listdir(src_img_path):
# # print(file)
# # 分离前缀 和 后缀
# file_name, suffix = os.path.splitext(file)
# if suffix == '.xml':
# # print(file)
# xml_path = os.path.join(src_img_path, file)
# image_path = os.path.join(src_img_path, file_name+'.jpeg')
# # image_path = os.path.join(src_img_path, file_name + '.bmp')
# img = cv2.imread(image_path)
# tree = ET.parse(xml_path)
# root = tree.getroot()
#
# # 读取 object
# i = 1;
# for obj in root.iter('object'):
# name = obj.find('name').text
#
# xml_box = obj.find('bndbox')
# x1 = int(xml_box.find('xmin').text)
# x2 = int(xml_box.find('xmax').text)
# y1 = int(xml_box.find('ymin').text)
# y2 = int(xml_box.find('ymax').text)
#
#
# # 小 -----> 大
# # x1 = int(x1 * 1800./640)
# # x2 = int(x2 * 1800./640)
# # y1 = int(y1 * 1600./512)
# # y2 = int(y2 * 1600./512)
# # x1 = x1+50
# # x2 = x2+50
#
# cv2.rectangle(img, (x1, y1), (x2, y2), (255, 0, 0), thickness=2)
# # 字为绿色
# cv2.putText(img, name+str(i), (x1, y1), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), thickness=2)
# i=i+1;
# # cv2.imwrite(os.path.join(root_saved_path, file_name+'.bmp'), img)
# cv2.imwrite(os.path.join(root_saved_path, file_name + '.jpg'), img)
#
#
# if __name__ == '__main__':
# image_path = r"E:\Dataset\jsonToXml\test1_thermal"
# root_saved_path = r"E:\Dataset\jsonToXml\test1_result_thermal"
# draw(image_path, root_saved_path)