examples/object_detection
MrXinWang 2acf34f916 object_detection: fix typo error in tf-serving.libsonnet (#618)
modified tf-serving.libsonnet in object_detection example to fix the error of
"FileSystemStoragePathSource encountered a file-system access error:
Could not find base path /models/model for servable model"

Change-Id: I946a0a7fbb6c80992d66fe003ca90b1c21c67cfc
Signed-off-by: Henry Wang <henry.wang@arm.com>
2019-08-14 18:12:34 -07:00
..
batch-predict Batch predict example for object detection using GPU (#199) 2018-08-03 11:57:53 -07:00
conf Updated object detection training example (#228) 2018-08-20 19:32:12 -07:00
docker reconcile tensorflow serving version (#409) 2018-12-08 14:32:46 -08:00
ks-app object_detection: fix typo error in tf-serving.libsonnet (#618) 2019-08-14 18:12:34 -07:00
serving_script add object detection grpc client (#378) 2018-12-06 18:51:24 -08:00
README.md Batch predict example for object detection using GPU (#199) 2018-08-03 11:57:53 -07:00
export_tf_graph.md Updated object detection training example (#228) 2018-08-20 19:32:12 -07:00
monitor_job.md Updated object detection training example (#228) 2018-08-20 19:32:12 -07:00
setup.md create pv for pets-pv (#439) 2018-12-21 06:05:11 -08:00
submit_batch_predict.md Batch predict example for object detection using GPU (#199) 2018-08-03 11:57:53 -07:00
submit_job.md Fixed issue with TFJob api version in tfjob component (#541) 2019-04-13 12:58:00 -07:00
tf_serving_cpu.md add object detection grpc client (#378) 2018-12-06 18:51:24 -08:00
tf_serving_gpu.md Small fix to TF serving gpu (#221) 2018-08-14 14:27:35 -07:00

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