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

.travis.yml

@@ -50,6 +50,7 @@ install: "pip install -q -r requirements.txt > /dev/null"
 
 before_script:
   - cd repos/lopq/python && python setup.py install && cd ../../..
+  - cd repos/tf_ctpn_cpu/lib/utils && ./make.sh && cd ../../../..
   - python manage.py migrate
   - python manage.py runserver 8000 &
   - cd tests/ci && wget --quiet https://www.dropbox.com/s/t4bgkh2w2ow8o10/WorldIsNotEnough.mp4 && cd ../..

configs/models.json

@@ -102,6 +102,22 @@
     "algorithm": "CTPN",
     "mode": "C"
   },
+  {
+    "model_type": "detector",
+    "name": "tf_textbox",
+    "url": "https://www.dropbox.com/s/ghxowdua65r82d6/checkpoint",
+    "filename": "checkpoint",
+    "additional_files":[
+      {"url": "https://www.dropbox.com/s/v9w4mhcks7a719k/VGGnet_fast_rcnn_iter_50000.ckpt.data-00000-of-00001",
+      "filename": "VGGnet_fast_rcnn_iter_50000.ckpt.data-00000-of-00001"},
+      {"url": "https://www.dropbox.com/s/2d0licy8npype6r/VGGnet_fast_rcnn_iter_50000.ckpt.index",
+      "filename": "VGGnet_fast_rcnn_iter_50000.ckpt.index"},
+      {"url": "https://www.dropbox.com/s/vwmz2ra9jovlxjd/VGGnet_fast_rcnn_iter_50000.ckpt.meta",
+      "filename": "VGGnet_fast_rcnn_iter_50000.ckpt.meta"}
+    ],
+    "algorithm": "TFCTPN",
+    "mode": "T"
+  },
   {
     "model_type": "detector",
     "name": "face",

deploy/dockerfiles/Dockerfile

@@ -31,6 +31,8 @@ RUN pip install torchvision
 WORKDIR "/root/DVA"
 WORKDIR "/root/DVA/repos/lopq/python"
 RUN python setup.py install
+WORKDIR "/root/DVA/repos/tf_ctpn_cpu/lib/utils/"
+RUN ./make.sh
 WORKDIR "/root/DVA"
 VOLUME ["/root/DVA/dva/media"]
 EXPOSE 80

deploy/dockerfiles/Dockerfile.gpu

@@ -30,6 +30,8 @@ RUN pip install --no-deps h5py
 WORKDIR "/root/DVA"
 WORKDIR "/root/DVA/repos/lopq/python"
 RUN python setup.py install
+WORKDIR "/root/DVA/repos/tf_ctpn_cpu/lib/utils/"
+RUN ./make.sh
 WORKDIR "/root/DVA"
 VOLUME ["/root/DVA/dva/media"]
 EXPOSE 80

deploy/dockerfiles/rebuild.sh

@@ -1,3 +1,4 @@
 #!/usr/bin/env bash
 set -xe
-docker build -t akshayubhat/dva-auto:latest .
+docker build -t akshayubhat/dva-auto:latest .
+docker build -t akshayubhat/dva-auto:gpu Dockerfile.gpu

requirements.txt

@@ -25,4 +25,5 @@ uwsgi
 lmdb
 gunicorn
 django-celery-beat
-cython
+cython
+easydict