Cyber record offline parse tool
Project description
cyber_record
Cyber record file offline parse tool. You can use cyber_record
to read messages from record file, or write messages to the record file.
Quick start
First install "cyber_record" by the following command.
pip install cyber_record
// or update version
pip install cyber_record -U
Then you can reference cyber_record
by
from cyber_record.record import Record
Examples
Below are some examples to help you read and write messages from record files.
1. Read messages
You can read messages directly from the record file in the following ways.
from cyber_record.record import Record
file_name = "20210521122747.record.00000"
record = Record(file_name)
for topic, message, t in record.read_messages():
print("{}, {}, {}".format(topic, type(message), t))
The following is the output log of the program
/apollo/localization/pose, <class 'LocalizationEstimate'>, 1627031535246897752
/apollo/canbus/chassis, <class 'Chassis'>, 1627031535246913234
/apollo/canbus/chassis, <class 'Chassis'>, 1627031535253680838
Filter Read
You can also read messages filtered by topics and time. This will improve the speed of parsing messages.
def read_filter_by_both():
record = Record(file_name)
for topic, message, t in record.read_messages('/apollo/canbus/chassis', \
start_time=1627031535164278940, end_time=1627031535215164773):
print("{}, {}, {}".format(topic, type(message), t))
2. Parse messages
To avoid introducing too many dependencies, you can save messages by record_msg
.
pip install record_msg
record_msg
provides 3 types of interfaces
csv format
you can use to_csv
to format objects so that they can be easily saved in csv format.
f = open("message.csv", 'w')
writer = csv.writer(f)
def parse_pose(pose):
'''
save pose to csv file
'''
line = to_csv([pose.header.timestamp_sec, pose.pose])
writer.writerow(line)
f.close()
image
you can use ImageParser
to parse and save images.
image_parser = ImageParser(output_path='../test')
for topic, message, t in record.read_messages():
if topic == "/apollo/sensor/camera/front_6mm/image":
image_parser.parse(message)
# or use timestamp as image file name
# image_parser.parse(image, t)
lidar
you can use PointCloudParser
to parse and save pointclouds.
pointcloud_parser = PointCloudParser('../test')
for topic, message, t in record.read_messages():
if topic == "/apollo/sensor/lidar32/compensator/PointCloud2":
pointcloud_parser.parse(message)
# other modes, default is 'ascii'
# pointcloud_parser.parse(message, mode='binary')
# pointcloud_parser.parse(message, mode='binary_compressed')
3. Write messages
You can now also build record by messages. You can write pb_message by record.write
.
def write_message():
pb_map = map_pb2.Map()
pb_map.header.version = 'hello'.encode()
with Record(write_file_name, mode='w') as record:
record.write('/apollo/map', pb_map, int(time.time() * 1e9))
Its application scenario is to convert dataset into record files. Please note that it must be written in chronological order.
If you want to write raw message, you should first use Builder
to help convert raw data to pb_message.
image
You can write image to record file like below. ImageBuilder
will help you convert image to pb_image. encoding
should be rgb8
,bgr8
or gray
, y
.
def write_image():
image_builder = ImageBuilder()
write_file_name = "example_w.record.00002"
with Record(write_file_name, mode='w') as record:
img_path = 'test.jpg'
pb_image = image_builder.build(img_path, encoding='rgb8')
record.write('/apollo/sensor/camera/front_6mm/image',
pb_image,
int(time.time() * 1e9))
lidar
You can write image to record file like below. PointCloudBuilder
will help you convert pcd file to pb_point_cloud.
def write_point_cloud():
point_cloud_builder = PointCloudBuilder()
write_file_name = "example_w.record.00003"
with Record(write_file_name, mode='w') as record:
pcd_path = 'test.pcd'
pb_point_cloud = point_cloud_builder.build(pcd_path)
record.write('/apollo/sensor/lidar32/compensator/PointCloud2',
pb_point_cloud,
int(time.time() * 1e9))
Project details
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