Skip to content

Latest commit

 

History

History
7 lines (5 loc) · 683 Bytes

File metadata and controls

7 lines (5 loc) · 683 Bytes

Bird Object Detection Sample Notebook

The Amazon SageMaker notebook is object_detection_birds.ipynb. In addition, we have provided files in the tools folder.

  1. patch_ssd.sh - this is a bash script for patching the model artifacts to be suitable for running on AWS DeepLens.
  2. birdsOnEdge.py - this is a Python script that can be deployed as AWS Lambda inference function on AWS DeepLens. It depends on the patched model artifacts and performs the necessary additional step of calling mo.optimize before loading the model.
  3. im2rec.py - this is a copy of a Python script from Apache MXNet that is used by the notebook to create RecordIO files of the bird images.