Simplify deploy and rename .yml -> .yaml for consistency.

In models.py update the on_delete constraint in region
for frame deletion to null. Further simplify deployment.

Soon:

- YFCC processing and preparation scripts to VDN.

- Export trained approximators as zip file.

Next:

- Implement pre-condition checks, failed to launch error
messages for processes. Rollback created models on failure to launch.

- Add location net, fine-tuning / training face recognition models

deploy/compose/__init__.py

@@ -53,7 +53,7 @@ def start_docker_compose(deployment_type, gpu_count, init_process, init_models,
     print "Starting deploy/compose/{}".format(fname)
     try:
         # Fixed to dev since deployment directory does not matters for checking if docker-compose exists.
-        subprocess.check_call(["docker-compose", 'ps','-f','docker-compose-dev.yaml'],
+        subprocess.check_call(["docker-compose", '--help'],
                               cwd=os.path.join(os.path.dirname(os.path.curdir), 'deploy/compose/'))
     except:
         raise SystemError("Docker-compose is not available")