examples/object_detection
..
batch-predict
conf
docker
ks-app
serving_script
README.md
export_tf_graph.md
monitor_job.md
setup.md
submit_batch_predict.md
submit_job.md
tf_serving_cpu.md
tf_serving_gpu.md

README.md

Distributed TensorFlow Object Detection Training and Serving on K8s with Kubeflow

This example demonstrates how to use kubeflow to train/serve 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. Export model
  5. Serve the model with GPU
  6. Submit a batch prediction job using GPU