Upgrade to Tensorflow 1.4 Remove base images instead have a single co…

…ntainer image.

remove CRFasRNN.

Next:
1. Create example clients for retrieval experiments.
2. Ability to import region annotations specified in JSON file with filenames and frame_index used as invariant identifiers.
3. Streamlining creation of pre-indexed datasets.
4. Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
5. Store uploaded videos/zip files to "ingest"  directory and use create_launch functionality to separate interface cleanly and ensuring everything goes through DVAPQL.
6. improve paper & documentation

Upgrade to Tensorflow 1.4 Remove base images instead have a single co…

…ntainer image.

Next:
1. Create example clients for retrieval experiments.
2. Ability to import region annotations specified in JSON file with filenames and frame_index used as invariant identifiers.
3. Streamlining creation of pre-indexed datasets.
4. Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
5. Store uploaded videos/zip files to "ingest"  directory and use create_launch functionality to separate interface cleanly and ensuring everything goes through DVAPQL.
6. improve paper & documentation

Upgrade to Tensorflow 1.4 Remove base images instead have a single co…

…ntainer image.

Next:
1. Create example clients for retrieval experiments.
2. Ability to import region annotations specified in JSON file with filenames and frame_index used as invariant identifiers.
3. Streamlining creation of pre-indexed datasets.
4. Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
5. Store uploaded videos/zip files to "ingest"  directory and use create_launch functionality to separate interface cleanly and ensuring everything goes through DVAPQL.
6. improve paper & documentation

Upgrade to Tensorflow 1.4 Remove base images instead have a single co…

…ntainer image.

Next:
1. Create example clients for retrieval experiments.
2. Ability to import region annotations specified in JSON file with filenames and frame_index used as invariant identifiers.
3. Streamlining creation of pre-indexed datasets.
4. Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
5. Store uploaded videos/zip files to "ingest"  directory and use create_launch functionality to separate interface cleanly and ensuring everything goes through DVAPQL.
6. improve paper & documentation

Fix Dockerfile mistake.

Next:

- Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
- Store uploaded videos/zip files to "ingest"  directory and use create_launch functionality to separate interface cleanly and ensuring everything goes through DVAPQL.
- improve paper & documentation

Fix Dockerfile mistake.

Next:

- Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
- Store uploaded videos/zip files to "ingest"  directory and use create_launch functionality to separate interface cleanly and ensuring everything goes through DVAPQL.
- improve paper & documentation

Update Dockerfiles to install MXNet in addition to PyTorch and Tensor…

…Flow.

Fix sync static.

Next:

- Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
- Store uploaded videos/zip files to "ingest"  directory and use create_launch functionality to separate interface cleanly and ensuring everything goes through DVAPQL.
- improve paper & documentation

Added open images tagger model, along with UI in dashboard.

Next:
- Improve interface separation between Django and DVAPQL .
- improve paper & documentation

Add dockerfile for cpu version of dva caffe container.

Next:
- Improve interface separation between Django and DVAPQL .
- improve paper & documentation

Add django celery beat for schedued tasks.