Add FAISS set python path in Dockerfile itself rather than setting it…

… manually.

Eventually:

- Export models as a zip file.

- Implement training detection model using YOLO

- Implement location net and clustering using PQKMeans

- Implement fine-tuning / training face recognition models

- Pre-condition checks, and failed to launch error messages for processes.

Upgrade GPU docker container.

Eventually:

- Export models as a zip file.

- Implement training detection model using YOLO

- Implement location net and clustering using PQKMeans

- Implement fine-tuning / training face recognition models

- Pre-condition checks, and failed to launch error messages for processes.

Fix bug due to latest version of PyTorch

Eventually:

- Export models as a zip file.

- Implement training detection model using YOLO

- Implement location net and clustering using PQKMeans

- Implement fine-tuning / training face recognition models

- Pre-condition checks, and failed to launch error messages for processes.

Start work on adding Redis for caching and implementing reduce using …

…process watchers.

- Implement training set creation / training.

Build new docker image

- Porting to Google Kubernetes Engine + GCS, initial goals achieved.

- Create new CPU image with Xenial instead of trusty by inhering official TF image.

Next:

0. label import

1. Add JSONSchema validation for DVAPQL scripts. Move remaining delete, rename and label logic to go through the REST API.

2. Finish paper documenting the architecture.

Ongoing port to Google Kubernetes Engine + GCS.

Next:

0. label import

1. Add JSONSchema validation for DVAPQL scripts. Move remaining delete, rename and label logic to go through the REST API.

2. Finish paper documenting the architecture.

CTPN verified working on CPU. Update dockerfiles, next GPU and remova…

…l of caffe dockerfiles.

Add tutorial using client API. Improve documentation, split cloud into AWS/Heroku and GCP with Kubernetes example.
Next create an intermediate tutorial using COCO dataset. Leverage ability to import region annotations specified in
JSON file with filenames and frame_index used as invariant identifiers.  Streamlining creation of pre-indexed datasets for
LFW, COCO and YFCC subsets. Also add ability to import from a local dir /ingest.

Next:
1. Reduce use of dvaapp in dvaui. Eventually ensuring that everything goes through the REST API.
2. improve paper & documentation

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