Ivy
Ivy is an open-source video-based object counting software for tallying pretty much anything (vehicles, people, animals — you name it).
Need help setting up Ivy and analyzing the logs? Visit https://trafficlogic.co or send an email to contact@trafficlogic.co.
Requirements
- Python 3 (tested with version 3.7)
Setup
- Clone this repo
git@github.com:nicholaskajoh/ivy.git. - Create and/or use a virtual environment (optional but recommended)
mkvirtualenv -p python3.7 ivy. - Install the dependencies in requirements.txt
pip install -r requirements.txt. - Choose a detector and install its dependencies where necessary (if you're not sure what to pick, we recommend you start with
yolo).
| Detector | Description | Dependencies |
|---|---|---|
yolo |
Perform detection using models created with the YOLO (You Only Look Once) neural net. https://pjreddie.com/darknet/yolo/ | |
tfoda |
Perform detection using models created with the Tensorflow Object Detection API. https://github.com/tensorflow/models/tree/master/research/object_detection | CPU: pip install tensorflow-cpu GPU: pip install tensorflow-gpu |
detectron2 |
Perform detection using models created with FAIR's Detectron2 framework. https://github.com/facebookresearch/detectron2 | python -m pip install 'git+https://github.com/facebookresearch/detectron2.git' (https://github.com/facebookresearch/detectron2/blob/master/INSTALL.md) |
haarcascade |
Perform detection using Haar feature-based cascade classifiers. https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html |
Run
- Create a .env file (based on .env.example) in the project's root directory and edit as appropriate.
- Run
python -m main. - Run using Docker
docker build -t nicholaskajoh/ivy ..
Demo
Download ivy_demo_data.zip and unzip its contents in the data directory. It contains detection models and a sample video.
Test
python -m pytestDebug
By default, Ivy runs in "debug mode" which provides you a window to monitor the object counting process. You can:
- press the
pkey to pause/play the counting process - press the
skey to capture a screenshot - press the
qkey to quit the program - click any point on the window to log the coordinates of the pixel in that position
Community
Got questions, contributions, suggestions, concerns? Let us know! Also follow us on Twitter @CountWithIvy to get notified about new features, fixes and initiatives.