1. 25 Apr, 2020 1 commit
    • Anusha's avatar
      Fix android object_detection Dockerfile (#7897) · a341a46a
      Anusha authored
      The current android Dockerfile for object detectiion is not functional anymore. This commit fixes it by the following changes:
       - install gpg-agent, update google-cloud-sdk installation from https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu
       - use non-interactive front end to set default tzdata configuration (required for TF object detection installation)
       - fix the tensorflow configuration
      
      Leaving the base image untouched, although nightly-devel is no longer actively maintained. It may be worth upgrading as a separate effort later.
      a341a46a
  2. 13 Jul, 2018 1 commit
    • Zhichao Lu's avatar
      Merged commit includes the following changes: · 85dd5fa4
      Zhichao Lu authored
      204489224  by Zhichao Lu:
      
          Modify ssd mobilenet v1 fpn config to be a bit more tolerant to OOM failure by bumping down the batch size to 64 and doubling the number of iterations to 25k. It now converges in 2.5 hours.
      
      --
      204488942  by Zhichao Lu:
      
          Internal change
      
      204480631  by Zhichao Lu:
      
          This CL makes sure that num_steps parameter are not updated to 0 if num_steps field is not mentioned in config.
      
          The default behavior for number of steps parameter for training is infinite (train forever). The default value num_steps in train.proto is 0 (for training indefinitely). However the estimator/training function expects the num_steps to be set to None to train indefinitely.
      
      --
      204437217  by Zhichao Lu:
      
          Create a Docker image to support TensorFlow Lite / Object Detection blog post.
      
      --
      204317570  by Zhichao Lu:
      
          Internal change
      
      PiperOrigin-RevId: 204489224
      85dd5fa4