MYNTAI MYNT EYE D-Series, Документация

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MYNT EYE D SDK Documentation, Release 1.8.0
Note: You need to use
record
tool in
tools
or
rosbag
to record dataset first. IMU analysis tool support python
2.7 . Before run the script, you need to pip install -r requirements.txt .
Reference to run commands on Linux:
$ python tools/analytics/imu_analytics.py -i dataset -c tools/config/mynteye/mynteye_
˓ →
config.yaml -al = -1.2,1.2 -gl = -gdu = d -gsu = d -kl =
Reference to results on Linux:
$ python tools/analytics/imu_analytics.py -i dataset -c tools/config/mynteye/mynteye_
˓ →
config.yaml -al = -1.2,1.2 -gl = -gdu = d -gsu = d -kl =
imu analytics ...
input: dataset
outdir: dataset
gyro_limits: None
accel_limits: [( -1.2, 1 .2 ) , ( -1.2, 1 .2 ) , ( -1.2, 1 .2 ) , ( -1.2, 1 .2 )]
time_unit: None
time_limits: None
auto: False
gyro_show_unit: d
gyro_data_unit: d
temp_limits: None
open dataset ...
imu: 20040 , temp: 20040
timebeg: 4 .384450, timeend: 44 .615550, duration: 40 .231100
save figure to:
dataset/imu_analytics.png
imu analytics done
The analysis result graph will be saved in the data set directory. as follows:
In addition, the script specific options can be executed -h:
$ python tools/analytics/imu_analytics.py -h
2.4.2 Analyze Time Stamps
SDK provides a script for timestamp analysis stamp_analytics.py . Tool details are visible in tools/README.md .
Note: You need to use
record
tool in
tools
or
rosbag
to record dataset first. Timestamp analysis tool support
python 2.7 . Before run the script, you need to
pip install -r requirements.txt
.
Reference run commands on Linux:
$ python tools/analytics/stamp_analytics.py -i dataset -c tools/config/mynteye/
˓ →
mynteye_config.yaml
Reference to results on Linux:
$ python tools/analytics/stamp_analytics.py -i dataset -c tools/config/mynteye/
˓ →
mynteye_config.yaml
stamp analytics ...
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2.4. SDK Tools 33