In tensorflow/models/research/object_detection/, only
tensorflow/models/research/object_detection/legacy/train.py
supports kubeflow sor far (construct cluster by reading
TF_CONFIG environment var).
Fixes: #277
* Updated Dockerfile.traning to use latest tensorflow
and tensorflow object detetion api.
* Updated tf-training-job component and added a chief
replica spec
* Corrected some typos and updated some instructions
* adding batch-predict on GPU example
* Sync with TF-serving GPU example.
* adding visualization instructions
* change the title of readme.md
* changes according to the review comments from jlewi
* Replace the links to personal project with the one in kubeflow-example project in the yaml file
* change the procedure to build images
* polish the md file
* some minor md change
* fix a broken gs link
* fix more merge errors
* Added tutorial for object detection distributed training
Added steps on how to leverage kubeflow tooling to
submit a distributed object detection training job
in a small kubernetes cluster (minikube, 2-4 node cluster)
* Added Jobs to prepare the training data and model
* Updated instructions
* fixed typos and added export tf graph job
* Fixed paths in jobs and instructions
* Enhanced instructions and re-arranged folder structure
* Updated links to kubeflow user guide documentation