Difference between revisions of "TensorflowPi"
From cogniteam
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= Raspberry Pi tensorflow detection SD image install and run instructions = | = Raspberry Pi tensorflow detection SD image install and run instructions = | ||
| − | + | == Create SD card == | |
# Copy raspberry pi disk image to SD card (8Gb minimum): | # Copy raspberry pi disk image to SD card (8Gb minimum): | ||
#: <pre>tar xf pi_mobilenet_embedded_0_5_aarch64.img.tar.xz</pre> | #: <pre>tar xf pi_mobilenet_embedded_0_5_aarch64.img.tar.xz</pre> | ||
#: <pre>sudo dd if=pi_mobilenet_embedded_0_5_aarch64.img of=/dev/YOU_SD_DEVICE bs=4M</pre> | #: <pre>sudo dd if=pi_mobilenet_embedded_0_5_aarch64.img of=/dev/YOU_SD_DEVICE bs=4M</pre> | ||
| − | + | == Power up & network configuration == | |
# Connect your raspberry pi to good power supply (5V, 2A at least), connect keyboard and monitor | # Connect your raspberry pi to good power supply (5V, 2A at least), connect keyboard and monitor | ||
# Login: | # Login: | ||
| Line 17: | Line 17: | ||
# '''sudo reboot''' | # '''sudo reboot''' | ||
| − | + | == Run == | |
Now everything is ready for running detection, connect a regular USB webcam and run: | Now everything is ready for running detection, connect a regular USB webcam and run: | ||
<pre> | <pre> | ||
| Line 23: | Line 23: | ||
</pre> | </pre> | ||
| − | + | == Remote image viewer == | |
# On a computer connected to the same network, first, install ROS (Ubuntu 16.04): | # On a computer connected to the same network, first, install ROS (Ubuntu 16.04): | ||
#: <pre>sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'</pre> | #: <pre>sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'</pre> | ||
Revision as of 13:21, 4 February 2019
Contents
Raspberry Pi tensorflow detection SD image install and run instructions
Create SD card
- Copy raspberry pi disk image to SD card (8Gb minimum):
-
tar xf pi_mobilenet_embedded_0_5_aarch64.img.tar.xz
-
sudo dd if=pi_mobilenet_embedded_0_5_aarch64.img of=/dev/YOU_SD_DEVICE bs=4M
-
Power up & network configuration
- Connect your raspberry pi to good power supply (5V, 2A at least), connect keyboard and monitor
- Login:
- Username: root
- Password: raspberry
- Edit /etc/network/interfaces.d/eth0:
- Set your local network IP settings
- Edit /root/detection.config:
- Set ROS_IP to your IP address
- sudo reboot
Run
Now everything is ready for running detection, connect a regular USB webcam and run:
roslaunch tensorflow_detection tensorflow_detection.launch
Remote image viewer
- On a computer connected to the same network, first, install ROS (Ubuntu 16.04):
-
sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'
-
sudo apt-key adv --keyserver hkp://ha.pool.sks-keyservers.net:80 --recv-key 421C365BD9FF1F717815A3895523BAEEB01FA116
-
sudo apt-get update
-
sudo apt install ros-kinetic-rqt-image-view
-
- Setup ROS environment
-
source /opt/ros/kinetic/setup.bash
-
- Connect to remote ROS server
-
export ROS_IP=IP_OF_RASPBERRY_PI
-
rqt_image_view
-
