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retanglelabel2mylabel.py
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retanglelabel2mylabel.py
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import cv2
import os
import numpy as np
from shapely.geometry import Polygon, MultiPoint # 多边形
import time
import cv2
import argparse
from time import sleep
def trans(file, line_, wh_list):
# file = '1001.txt'
path = label_path + '/' + file
# line = '' + img_path + '/' + os.path.splitext(file)[0] + '.tif'
line = ''
# print(line)
# print(path)
f = open(path)
label = f.read().split()
# print(label)
clss = []
xsets = []
ysets = []
sets = []
for i in range(0, len(label), 9):
cls = float(label[i]) - 1
if cls not in clss:
clss.append(cls)
data = np.array(label[i+1:i+9]).astype(int)
data = data.reshape(4, 2)
rect = cv2.minAreaRect(data) # 得到最小外接矩形的（中心(x,y), (宽,高), 旋转角度）
# print(rect)
box = cv2.boxPoints(rect).astype(int)
c_x = rect[0][0]
c_y = rect[0][1]
w = rect[1][0]
h = rect[1][1]
theta = rect[-1]
if (theta < -90 or theta > 0) and h < w:
print(w,h)
print(file)
print(theta)
sleep(11111)
if theta == 0 and w < h:
theta = -90
t = h
h = w
w = t
if w > h:
t = h
h = w
w = t
else:
if theta == 0:
print('dfasd')
theta = 0
else:
theta = 90 + theta
if w > h :
sleep(1111)
# print(c_x, c_y, w, h, theta)
# line = line + ' ' + str(c_x/1024) + ',' + str(c_y/1024) + ',' + str(h / 1024) + ',' + str(w / 1024) + ',' + str(int(theta)) + ',' + str(cls) + ' '
# line = line + ' ' + str(c_x - h / 2) + ',' + str(c_y - w / 2) + ',' + str(c_x + h / 2) + ',' + str(c_y + w / 2) + ',' + str(cls) + ',' + str(int(theta)+90) + ' '
line = line + str(cls) + ' ' + str(c_x / 1024) + ' ' + str(c_y / 1024) + ' ' + str(h / 1024) + ' ' + str(w / 1024) + ' ' + str(int(theta)+90) + '\n'
# line = line + str(cls) + ' ' + str(c_x / 1024) + ' ' + str(c_y / 1024) + ' ' + str(h / 1024) + ' ' + str(
# w / 1024) + ' ' + str(int(theta) + 90) + '\n'
wh_list.append([h/1024, w/1024])
with open(opt.output_path+'/{}'.format(str(int(os.path.splitext(file)[0])+2008) + '.txt'),
'w+') as f:
f.write(line)
f.close()
# line_ = line_ + line + '\n'
# # print(data[:,0].shape)
# # poly = Polygon(data).convex_hull
# d_index = np.argmax(data[:, 0])
# c_index = np.argmax(data[:, 1])
# c_x = (max(data[:, 0]) + min(data[:, 0])) / 2
# c_y = (max(data[:, 1]) + min(data[:, 1])) / 2
# print(data[d_index],data[c_index])
# # print('len:',len(set(data[:,0])))
# if len(set(data[:, 0])) not in xsets:
# xsets.append(len(set(data[:, 0])))
# if len(set(data[:, 1])) not in ysets:
# ysets.append(len(set(data[:, 1])))
# if (len(set(data[:, 1]))*len(set(data[:, 0]))) not in sets:
# sets.append((len(set(data[:, 1]))*len(set(data[:, 0]))))
# if len(set(data[:,0])) < 4 or len(set(data[:,1])) < 4:
#
# if len(set(data[:,0])) == 2 and len(set(data[:,1])) == 2:
#
# print('正规矩形：')
# theta = - np.pi / 2
# right = np.where(data[:, 0]==max(data[:, 0]))
# top = np.where(data[:, 1]==max(data[:, 1]))
# # print(top[0], right[0])
# # h = np.abs(data[top[0][0]][0] - data[top[0][1]][0])
# # w = np.abs(data[right[0][0]][1] - data[right[0][1]][1])
# #
# # print(w , h)
# # if len(set(data[:,0])) == 3 or len(set(data[:,1])) == 3:
#
#
#
# else:
# # print(1)
# theta = - np.arctan((data[c_index][1] - data[d_index][1]) / (data[d_index][0] - data[c_index][0]))
#
# w = np.sqrt((data[c_index][1] - data[d_index][1])**2 + (data[d_index][0] - data[c_index][0])**2)
# h = np.sqrt((data[d_index][0] - data[np.argmin(data[:, 1])][0])**2 +(data[d_index][1] - data[np.argmin(data[:, 1])][1])**2)
# # print(theta)
#
# # print(c_x, c_y, w, h, theta)
return path, rect, line_, int(theta) + 90, wh_list
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--label_path', type=str,
help='label path')
parser.add_argument('--img_path', type=str,
help='images path')
parser.add_argument('--output_path', type=str, default=r'convertor\fold0\labels_output/',
help='label output path')
opt = parser.parse_args()
label_path = opt.label_path
img_path = opt.img_path
all_label = []
cls = []
xsets = []
ysets = []
sets = []
line_ = ''
thetas = []
wh_list = []
for file in os.listdir(label_path):
path, ret, line_, theta, wh_list = trans(file, line_, wh_list)
if theta not in thetas:
thetas.append(theta)
print(len(wh_list))
print(wh_list)
# print(len(thetas), max(thetas),min(thetas))
# with open(r'D:\hjj\yolo4/2007_train_ship_angle_1.txt', 'w+') as f:
#
# f.write(line_)
# f.close()