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vis_curvelanes.py
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'''
解析curvaLanes数据集
数据集格式：
train/valid
│ train/valid.txt
│
├─images
│ 00022953ff37d3174cff99833df8799e.jpg
│ ...
│
└─labels
00022953ff37d3174cff99833df8799e.lines.json
...
label:
{
"Lines":[
# A lane marking
[
# The x, y coordinates for key points of a lane marking that has at least two key points.
{
"y":"1439.0",
"x":"2079.41"
},
{
"y":"1438.08",
"x":"2078.19"
},
...
]
...
]
}
train/valid.txt
images/c105ddad0167f20c619121e28a2c573c.jpg
images/ea52bafd2bcb4fd886e1d8d0d4c3c6a9.jpg
...
'''
import os
import cv2
import numpy as np
import json
# choose vis_mode between point and curves
# vis_mod = 'points' # curves
vis_mod = 'curves'
color = [(218,112,214), (255, 0, 0), (0, 255, 0), (0, 0, 255), (255, 255, 0), (255, 0, 255), (0, 255, 255), (255, 255, 255),
(100, 255, 0), (100, 0, 255), (255, 100, 0), (0, 100, 255), (255, 0, 100), (0, 255, 100)]
def get_points(mask, label):
# read label
label_content = open(label)
label_info = json.load(label_content)
# label_info = eval(label_info)
for index, line in enumerate(label_info['Lines']):
# print(line)
points_x = []
points_y = []
# get points
for point in line:
points_x.append(int(float(point['x'])))
points_y.append(int(float(point['y'])))
ptStart = 0
points = list(zip(points_x, points_y))
# sort along y
sorted(points , key=lambda k: (k[1], k[0]))
# print(points)
while ptStart < len(points_x):
image = cv2.circle(mask, points[ptStart], 5, color[index], -1)
ptStart += 1
return image
def get_curves(mask, label):
# read label
label_content = open(label)
label_info = json.load(label_content)
# label_info = eval(label_info)
for index, line in enumerate(label_info['Lines']):
# print(line)
points_x = []
points_y = []
# get points
for point in line:
points_x.append(int(float(point['x'])))
points_y.append(int(float(point['y'])))
ptStart = 0
ptEnd = 1
points = list(zip(points_x, points_y))
# sort along y
sorted(points , key=lambda k: (k[1], k[0]))
# print(points)
while ptEnd < len(points_x):
image = cv2.line(mask, points[ptStart], points[ptEnd], color[index], 4, lineType = 8)
ptStart += 1
ptEnd += 1
return image
# datasets dir
dataset_dir = r'E:/Curvelanes/Curvelanes/valid/'
# save label dir(mask)
save_mask_dir = dataset_dir + 'vis_datasets'
if not os.path.exists(save_mask_dir):
os.makedirs(save_mask_dir)
# read file from txt
txt_file = dataset_dir + 'valid.txt'
file_list = open(txt_file)
for file in file_list:
print("Now dealing with:", file)
file_name = os.path.splitext(file.strip().split('/')[-1])[0]
json_file = dataset_dir + 'labels/'+ file_name + '.lines.json'
# get img shape,h and w.
full_img_path = dataset_dir + file.strip()
# print("full_img_path:", full_img_path)
img = cv2.imread(full_img_path)
# datasets have different height and width.
h = img.shape[0]
w = img.shape[1]
# print("h, w",h,w)
mask = np.zeros([h,w,3],dtype=np.uint8)
# parse label
# print("json_file:", json_file)
# visulize points
if vis_mod == 'points':
label_mask = get_points(img, json_file)
else:
# visulize curves
label_mask = get_curves(img, json_file)
cv2.imencode('.png',label_mask)[1].tofile('{}\{}.png'.format(save_mask_dir,file_name))
print("finished~~")