Skip to content

Latest commit

 

History

History
144 lines (101 loc) · 5.58 KB

README.md

File metadata and controls

144 lines (101 loc) · 5.58 KB
Raw

Data Catalogue

Tools to run ops on drive datasets. For proficiency you must be familiar with our drive data schema and nomenclature. Tools are packaged as a CLI which can be installed and standalone Python scripts for 3rd party data. Tools contained in this repo are will be your one-stop needs for querying our postgres drive database for statistics aggregation, building training sets, setting up annotation projects. For 3rd_party datasets you can pull dataset chunks and store them for development.

Cloning

To fetch this repo and its submodules clone as

git clone ssh://[email protected]:443/am/roam/perception/data-catalogue.git --recurse-submodules

AWS credentials

The IO ops are performed on S3 and Postgres database hence you'd need your AWS credentials under ~/.aws/credentials. To setup your perception credentials for the first time follow these steps. You can configure each profile f.ex

# default profile
aws cli configure --profile perception

Update your credentials list by adding the following profiles. Please name the profile names as 👇 for sane CLI usage. Use the AWS keys provide here

# end2end integration testing
das-testing -> aws configure --profile perception-cli-testing
# development break everything
das-data-catalogue-dev -> aws configure --profile perception-cli-develop
# staging with clean valid and models
das-data-catalogue -> aws configure --profile perception-cli-staging

Alpha Fleet Data Catalogue Tools

Installation

We provide a convenience Makefile to build and run self-contained reproducible Docker images

make
make run datadir=/nas

The datadir=/nas option will mount the host's /nas directory to /data inside the container.

Setting up environment

Set up you enviroment before you push/transform data to our buckets. Chose from default, develop, testing, staging.

# data-catalogue env set <enviroment name>
# To set up develop environment
data-catalogue env set develop
# Check is set up correctly
data-catalogue env get

[configure.py][get_environ:69][INFO] Environment name : develop
[configure.py][get_environ:70][INFO] Profile name : perception-cli-develop

Usage

See the beautiful help pages we automagically create

./bin/data-catalogue --help

Transform, Validate & push

  1. Waylens instructions
  2. OnePlus instructions
  3. HW Kit instruction

3rd_party Data Catalogue Tools

Following scripts would help you fetch/pull 3rd-party dataset from the web/S3.

Berkely Deep-Drive Dataset

The following command would download the chunks of dataset in zips at the destination location. The command below would download the zips from the BDD100k website.

# http://dl.yf.io/bdd-data/bdd100k/video_parts/bdd100k_videos_train_00.zip
# http://dl.yf.io/bdd-data/bdd100k/video_parts/bdd100k_videos_train_01.zip
# http://dl.yf.io/bdd-data/bdd100k/video_parts/bdd100k_videos_train_02.zip

python scripts/fetch-bdd100k-data.py -c train -r 0 3 -d /data/datasets/bdd/zips/

myTaxi GPS traces

To fetch myTaxi GPS traces you'd first need to setup your AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY. The access keys for myTaxi data give you access to buckets with GPS traces. Ask your realtime team member to provide you with one :).

python scripts/fetch-mytaxi-light.py --help
Fetch myTaxi dataset

optional arguments:
  -h, --help            show this help message and exit
  -bucket_name BUCKET_NAME, -b BUCKET_NAME
                        S3 Bucket with objects to download
  -object_name OBJECT_NAME, -o OBJECT_NAME
                        S3 Object in the bucket
  -destination DESTINATION, -d DESTINATION
                        Location where to download the file

python scripts/fetch-mytaxi-light.py -b s3://com.mytaxi.sophie.das.exchange/booking_location_das_2 -o 00000_0 -d /data/datasets/mytaxi/

OpenImagsV5 Dataset

You can download parts of the dataset by desired label or category.

Usage example: python3 downloadOI.py --classes 'vehicle_registration_plate, person' --mode train

List of Datasets

TODO

  • Add S3/url location for data sources [04/22/2019]

  • Mock drive data from BDD100K sample videos [04/30/2019]

  • Mock map updates from BDD100K sample videos [05/02/2019]

  • Oneplus Transform [07/16/2019]

  • CLI - WIP : 29/05/2019 : Harsimrat