Welcome to AiFi's CPS-IoT Autocheckout Competition. This document details the competition and will help you get started.
This repository will help you get started with examples on how to use the Public Datasets available at http://aifi.io/research under Sample Data.
To start please download the data labelled as: "Simple Example" without depth (For your first example).
During the competition you will need a competitor token that will distinguish your submission from all other competitors. However you do not need this token for your local testing environment.
In order for the example to work properly download the data into data/downloads.
Download Videos Here (17.1MB)
Download Data without Depth Images Here (239MB)
Download Data with Depth Images Here (2.0GB)
| Test Case | Data w/ Depth | Camera Calibration |
|---|---|---|
| Simple Case | Donwload | Download |
| Test 2 | Download | Download |
| Test 3 | Download | Download |
| Test 4 | Download | Download |
| Test 5 | Download | Download |
| Test 6 | Download | Download |
| Test 7 | Download | Download |
| Test 8 | Download | Download |
| Test 9 | Download | Download |
| Test 10 | Download | Download |
| Test 11 | Download | Download |
| Test 12 | Download | Download |
| Test 13 | Download | Download |
| Test 14 | Download | Download |
| Test 15 | Download | Download |
| Test 16 | Download | Download |
| Test 17 | Download | Download |
| Test 18 | Download | Download |
| Test 19 | Download | Download |
| Test 20 | Download | Download |
| Test 21 | Download | Download |
| Test 22 | Download | Download |
| Test 23 | Download | Download |
| Test 24 | Download | Download |
You can find high-quality images of the products in the store here. Feel free to use them to train product detection/classification models.
Note: For now, images from only 18 products are available, we'll update the readme as soon as other products become available.
All Products Here
After submitting your abstract describing your approach you will receive a competitor token. Do not share your token with anyone outside your team. It will be used to uniquely identify you, access test cases, and to submit your results. Set it to an env variable for later use.
export AIFI_CPSWEEK_COMP__TOKEN=<your-token>
Before you begin, you will need to setup a few dependencies:
docker: Install Dockerdocker-compose: Installdocker-compose
This repo provides everything you need to get started. Begin by cloning this repo.
# Clone the repo
git clone https://github.com/JoaoDiogoFalcao/AutoCheckout.git
cd AutoCheckout/
After you have cloned the repo, you can execute the solution against an example and print the results with the following command.
AIFI_CPSWEEK_COMP__COMMAND=cps-test-01 docker-compose up --build
You will be able to submit your solution after you have submitted your abstract and received a competitor token.
Before contacting AiFi, check the frequently asked questions below.
PermissionError: [Errno 13] Permission denied:- The files backing the mongodb are owned by a user you do not have permissions to access. Run the
docker-composewithsudo
- The files backing the mongodb are owned by a user you do not have permissions to access. Run the
Yes. Just add them to requirements.txt.
Yes. See Docker's guide on leveraging GPU in docker containers.
You can send a SIGTERM to the program while it's in the foreground with ctrl-C or you can run the docker-compose command with the option --abort-on-container-exit
The sensor data is sampled at 60Hz. Each message contains a batch of 12 samples.
The noise level varies highly from testcase to testcase and from shelf to shelf due to environmental factors such as nearby vibrations and electrical noise.
The sensors are rated for 20kg per plate.
No. The nonlinearity error is orders of magnitude below the baseline noise from the environment.
No. The absolute weight measured by the sensors is not zeroed and may drift over long periods of time (hours or days). Relatively changes, however, are reliable.