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https://github.com/dennis960/tiscamraspberrypi
A step by step guide to use gigE cameras with a RaspberryPi 3B+
https://github.com/dennis960/tiscamraspberrypi
gige raspberry-pi-3 tiscamera
Last synced: 5 days ago
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A step by step guide to use gigE cameras with a RaspberryPi 3B+
- Host: GitHub
- URL: https://github.com/dennis960/tiscamraspberrypi
- Owner: Dennis960
- License: apache-2.0
- Created: 2023-04-22T22:09:46.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-04-23T20:12:20.000Z (over 1 year ago)
- Last Synced: 2024-11-07T20:08:02.225Z (about 2 months ago)
- Topics: gige, raspberry-pi-3, tiscamera
- Language: Python
- Homepage:
- Size: 21.5 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# How to use Gige camera with Raspberry Pi 3B+
This is a step by step guide to install the tiscamera software on a Raspberry Pi 3B+ and use it with opencv.
**This guide is not complete yet.**
## install dependencies
```
sudo apt install autoconf aravis-tools glade cmake g++ git gstreamer1.0-plugins-bad gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-ugly gstreamer1.0-tools gstreamer1.0-x gtk-doc-tools intltool libqt5gstreamer-dev libaudit-dev libaudit1 libgirepository1.0-dev libglib2.0-dev libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev libnotify-dev libnotify4 libpcap-dev libpcap0.8 libtinyxml-dev libudev-dev libudev1 libusb-1.0-0-dev libxml2 libxml2-dev libzip-dev pkg-config python-setuptools python3-sphinx qtbase5-dev qtdeclarative5-dev uvcdynctrl -y
```
```
pip3 install ninja
```
```
sudo apt install gstreamer1.0-tools -y
```
```
export PATH="$HOME/.local/bin:$PATH"
```
## install tiscam
```
git clone --recursive https://github.com/TheImagingSource/tiscamera.git
```
```
cd tiscamera
```
```
mkdir build
```
```
cd build
```
```
cmake -DBUILD_ARAVIS=ON -DBUILD_GST_1_0=ON -DBUILD_TOOLS=ON -DBUILD_V4L2=ON -DCMAKE_INSTALL_PREFIX=/usr ..
```
```
make
```
```
sudo make install
```
## start tcam service
```
sudo systemctl daemon-reload
```
```
sudo systemctl enable tcam-gige-daemon.service
```
```
sudo systemctl start tcam-gige-daemon.service
```
## start gui
```
tcam-capture
```
## install opencv with aravis
```
cd ~
```
```
git clone https://github.com/opencv/opencv
```
```
cd opencv
```
```
mkdir build && cd build
```
```
cmake -D CMAKE_BUILD_TYPE=RELEASE -D INSTALL_C_EXAMPLES=OFF -D PYTHON_EXECUTABLE=/usr/bin/python/aravis_opencv/gige_py/bin/python -D WITH_GSTREAMER=ON -D WITH_ARAVIS=ON ..
```
```
make -j4
```
## last 2 percent need lots of memory, you may need to increase swap temporarily, use make -j1 to save some memory for the last bit.
## ------ increase swap --------
```
sudo dphys-swapfile swapoff
```
```
sudo nano /etc/dphys-swapfile
```
```
CONF_SWAPSIZE=1024
```
```
sudo dphys-swapfile setup
```
```
sudo dphys-swapfile swapon
```
## -----------------------------
```
sudo make install
```
```
export GI_TYPELIB_PATH="/usr/lib/x86_64-linux-gnu/girepository-1.0"
```
```
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
```
## Install Aravis
```
sudo apt install meson ninja-build
```
```
sudo pip3 install meson
```
```
sudo ln -s /usr/local/bin/meson /usr/bin/meson
```
```
cd ~
```
```
wget https://github.com/AravisProject/aravis/releases/download/0.8.26/aravis-0.8.26.tar.xz
```
```
tar -xf aravis-0.8.26.tar.xz
```
```
cd aravis-0.8.26
```
```
meson --prefix /usr --buildtype=plain build
```
```
cd build
```
```
ninja
```
```
sudo ninja install
```
```
sudo ldconfig
```
## Install opencv
```
pip install opencv-python==4.5.3.56
```
```
pip install --upgrade numpy
```
```
sudo apt install libatlas-base-dev
```
## Run the python script
### Get a live preview
```
python main.py
```
### Get a single frame
```
python
import single_frame
width = 1920
height = 1080
exposure_us = 100000
# optional parameters
image = single_frame.get(width, height, exposure_us)
```