This repository contains code and executable files to run a program to analyze videos taken for the common garden experiment.
using the program
- on the mac mini in the lab, simply click on the common garden icon in the dock.
- (Note that these steps only work if you are using a Mac. A Windows machine could run the program directly like
python common_garden.pyafter downloading all necessary dependencies.)
- Download this repository by clicking the Download button above. Choose zip.
- Un-zip the repository.
- Connect the hard drive containing the videos to the computer.
- In the Finder, find the folder you creating by un-ziping the directory. Double click on
common_garden. Follow the instructions.
When the program is started, it prompts you to select the video you'd like to analyze. This is any video in the
small_videos directory of Mary's external hard drive. The program then shows the 10 second video on repeat indefinately. Record all relevant behaviors and take note of the locations of all fish. Hit Escape to stop the video. The first frame of the video then appears; use the left and right cursors to go forward or backwards through the video to find a frame where you can see most of the fish. Hit Escape once you find this frame. The program them prompts you to click on the locations of the males, model females, and juvenile fish. Hit Escape after each. The program then opens a dialogue box where you can enter the number of behaviors. Click Submit to submit your answers, and Close to end the trial. If everything works, a box will pop up telling you everything saved.
The program moves the video you just watched to a new folder called
already watched and the resulting JSON data file to a new
Executable file for MAC OSX. If you have a mac, downloading this file and double-clicking it should do the trick.
Note that this executable was made with pyinstaller and that I have had no luck with similar programs that promise to do similar things (py2exe, py2app, nuitka, etc.). This file was created with
pyinstaller common_garden.py --onefile --windowed. Note that this creates an
.app that is exactly what you want, only it fails on several Macs I've tested it on. On the mac mini, I've created an app in Automator that simply calls this unix executable file. The advantage is that I can then drag this 'app' to the dock where it's visible and easy to find.
Run by double-clicking on the icon.
Used to record (1) positions of different types of fish in the tank and (2) behaviors performed by fish. It's meant to be used for short videos. Requires opencv. It writes a
.json file with a bunch of data. I recommend using the
rjson package to parse this type of file in
json_data <- fromJSON(file="/path/to/file.json"). This returns a bunch of lists that should be able to be wrangled into shape with careful use of
This is the Python script that defines the program for logging foraging and activity measures. Written using Python 3; takes minimal tweaking to have it work with Python 2. To run, create a new conda environment with something like
conda create --name common_garden --file environment.yaml. You'll have to add
conda-forge as the your top channel with
conda config --add channels conda-forge and you should be good to go.
The executable to run the foraging program. As far as I can tell, does not work. Created with Python 2.7 and PyInstaller. Noteably, PyInstaller and conda's Python do not play nice with each other.
Used to create 3 10-second videos from the 15 minute videos. Looks like large video files (e.g. ~15 min videos taken from an amazon fire) and extracts 5-sec videos at 1:00, 6:00, and 11:00. It assumes that all your videos are in a single folder with no sub-folders or directories. Spaces in pathnames are allowed.
bash make_videos.sh /path/to/videos
Workhorse script of
make_videos.sh. Not used directly. Overwrites video files if necessary.