Please see the most up to date documentation at: Trigger Camera Documetation
This is a Raspberry Pi camera that responds to general purpose digital input-output (GPIO) pulses to start and stop video acquisition during an experiment. During video acquisition, external events such as frame times on a scanning microscope are watermarked on the video and saved to a text file. The camera can be controlled from a Python command prompt or a web browser.
Clone this git repository with
git clone https://github.com/cudmore/triggercamera.git
On a Rapsberry Pi, run ./install.sh to install all required libraries.
Allows interaction through a Python command prompt. Run with python triggercamera.py.
import triggercamera
tc=triggercamera.TriggerCamera()
tc.ArmTrigger()
Runs a web server to allow camera to be controlled through a web browser.
http://192.168.1.12:5010/help
http://192.168.1.12:5010/startarm
http://192.168.1.12:5010/stoparm
http://192.168.1.12:5010/startvideo
http://192.168.1.12:5010/stopvideo
http://192.168.1.12:5010/timelapseon
http://192.168.1.12:5010/timelapseoff
http://192.168.1.12:5010/lastimage
Main configuration file to control how Trigger Camera behaves.
[triggers]
useTwoTriggerPins: 1
triggerpin: 27
framepin: 17
[led]
led1pin: 2
led2pin: 3
[camera]
fps: 30
resolution: 640,480
bufferSeconds = 5
watchedpathon: 1
watchedpath: /video
savepath: /video
Arduino code to run an experiment. This code provides a /arduino/bExperiment class that will manage trial and frame triggers as low-level interrupts. It also provides /arduino/lib/bSimulateScope to simulate a microscope by sending out trial and trigger GPIO pulses.
Example iPython/Jupyter notebook to load output .txt files and measure the performance of the camera.
The full documentation for this project written in markdown and served here.