examples/object_detection
Daniel Castellanos b6a3c4c0ea Added tutorial for object detection distributed training (#74)
* 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
2018-07-03 14:10:20 -07:00
..
conf Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
docker Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
jobs Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
tf-serving Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
README.md Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
export_tf_graph.md Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
monitor_job.md Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
setup.md Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
submit_job.md Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00

README.md

Distributed TensorFlow Object Detection Training on K8s with Kubeflow

This example demonstrates how to use kubeflow to train an object detection model on an existing K8s cluster using the TensorFlow object detection API

This example is based on the TensorFlow Pets tutorial.

Steps:

  1. Setup a Kubeflow cluster
  2. Submit a distributed object detection training job
  3. Monitor your training job
  4. Serve your model with TensorFlow serving