Until further notice, these are the Databases currently installed on the [BEAT platform at Idiap](https://beat-eu.org/platform/):
BEAT Databases are simply accessor plugins that allow the data belonging to a database to be read and fed into a BEAT Toolchain in the context of an Experiment. The accessors are called *views* in the BEAT jargon. Here is an UML diagram that explains the relationship of all components of a database successfuly integrated into the platform:
- No identity intermixing between `train` and `dev` (`templates`/`probes`)
- Only training and validation (*no evaluation* set)
1. A JSON file that declares the database protocols, its root folder location, sets, templates and outputs in terms of existing Dataformats;
+ Set `train` (200 images, 20 identities)
2. A RestructuredText document that thoroughly describes the database;
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
3. A set of Python scripts that define the views (i.e., how to access the data), for each combination of protocol, set and output.
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`image`: [beat/image_grayscale](https://www.beat-eu.org/platform/dataformats/beat/image_grayscale/), image in gray-scale
## Procedure
+ Set `templates` (100 images, 20 identities):
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
To create a new BEAT database, you must be able to test the JSON descriptor (i.e., the arrangement of protocols, views, sets and outputs) together with your Python views inside, potentially, a real toolchain that uses the database. Doing so may be a complicated produce. This wiki page tries to simplify this process by providing instructions on how to build a new database from scratch.
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`template_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), template identity, unique for each template
### Step 1: Create a Bob database satellite package and a simple toolchain
-`image`: [beat/image_grayscale](https://www.beat-eu.org/platform/dataformats/beat/image_grayscale/), image in gray-scale
+ Set `probes` (100 images, 20 identities - same identities as in `templates`, different samples):
The very first step is to make sure you can *use* the database locally, via a Bob database satellite package. A simple toolchain can be used to test if the Bob database satellite package is working as expected. Instructions on how to create a Bob database satellite package are [available here](https://pythonhosted.org/bob.extension/guide.html). You'll find numerous examples of database packages from that link.
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
### Step 2: Install a development platform on your machine
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
Once your Python code is ready, the next thing to do is to install a developement platform on your machine. It will allow you to input the JSON description and insert the views at the right location for development. To do so, follow the [instructions for development setup at our beat.web package](https://gitlab.idiap.ch/biometric/beat.web/tree/master). Follow the procedure to the end, including the (optional) installation of existing contributions.
-`image`: [beat/image_grayscale](https://www.beat-eu.org/platform/dataformats/beat/image_grayscale/), image in gray-scale
### Step 3: Add your database JSON and Views to beat.databases
## Advanced Face Recognition Databases
Inside `beat.web`, you'll find a checkout of `beat.databases` in `src/beat.databases`. Go ahead and create the view files and JSON descriptors matching the existing structure. JSON descriptors are inserted into `<beat.databases-root>/beat/databases/prefix/advanced/databases`. Views are inserted into <beat.databases-root>/beat/databases/<database-name>`. Add your database satellite package to the `setup.py` of `beat.databases.
*`atnt`, protocol `idiap_test_eyepos`:
+ Notes:
> Note: If your Bob satellite package for the database is **not** available on PyPI, you must also add a
> checkout/mr.developer line on `beat.web/buildout.cfg` so that the system can properly download and install it
- No identity intermixing between `train` and `dev_*`/`test_*`. `dev_*` and `test_*` are identical
> from its repository.
- Training, development and evaluation sets (`dev` and `test` sets are identical)
- Use this protocol to quickly (or locally) evaluate algorithms for deployment with large databases on the platform
Re-run `./bin/buildout` at the `beat.web` level to make sure the new satellite package is installed and all is good for your first test.
+ Set `train` (200 images, 20 identities)
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
To install the database into your development server, run `./bin/install_contributions -v advanced`. If all is correct, the program should just report the insertion of the database into the system. Treat all errors until the database can be inserted correctly into the platform.
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in pseudo-RGB (all 3 planes are the same)
+ Set `dev_probes` (100 images, 20 identities - same identities as in `dev_templates`, different samples):
Then open your browser and point it to `http://127.0.0.1:8000`. Login as user `user` with password `user` then, create a new toolchain using your database template.
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
Once a toolchain that can use your database is in place, add the algorithms for such a toolchain and, finally, create an experiment mixing the database protocol you want to test and the algorithms. Do **not** push "Go", but just "Queue" the experiment for the time being.
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
### Step 5: Run the experiment locally for interactive debugging
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in pseudo-RGB (all 3 planes are the same)
+ Set `test_probes` (100 images, 20 identities - same identities as in `test_templates`, different samples):
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
Once you are happy with all you did, you may commit the changes into the `beat.database` package. You should, *at least*, include the database JSON, a RestructuredText description and the Python views, but it is also recommended you include a baseline toolchain, experiment and algorithms so that others can test your setup during development.
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
> Note: If you have a database which is already in production at the BEAT platform, make sure that, when
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
> you modify your database, you create a new version.
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in pseudo-RGB (all 3 planes are the same)
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in RGB
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in RGB
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in RGB
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in RGB
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in RGB
-`file_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), sample identity, unique for each sample
-`client_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), client identity, unique for each client
-`probe_id`: [beat/uint64](https://www.beat-eu.org/platform/dataformats/beat/uint64/), probe identity, unique for each probe
-`template_ids`: [beat/array_1d_uint64](https://www.beat-eu.org/platform/dataformats/beat/array_1d_uint64/), list of client (model) identities which to compare this sample to
-`image`: [beat/image_rgb](https://www.beat-eu.org/platform/dataformats/beat/image_rgb/), image in RGB