Use Intel® Optimizations for TensorFlow* to run a MobileNet* SSD FP32 Inference

Published: 10/23/2020  

Last Updated: 06/15/2022

Pull Command

docker pull intel/object-detection:tf-latest-ssd-mobilenet-fp32-inference

Description

This document has instructions for running SSD-MobileNet FP32 inference using Intel® Optimizations for TensorFlow*.

The COCO validation dataset is used in these SSD-Mobilenet quickstart scripts. The inference and accuracy quickstart scripts require the dataset to be converted into the TF records format. See the COCO dataset for instructions on downloading and preprocessing the COCO validation dataset.

Quick Start Scripts

Script name Description
fp32_inference Runs inference on TF records and outputs performance metrics.
fp32_accuracy Processes the TF records to run inference and check accuracy on the results.

Docker

When running in docker, the SSD-MobileNet FP32 inference container includes the libraries and the model package, which are needed to run SSD-MobileNet FP32 inference. To run the quickstart scripts, you'll need to provide volume mounts for the COCO validation dataset TF Record file and an output directory where log files will be written.

DATASET_DIR=<path to the coco tf record file>
OUTPUT_DIR=<directory where log files will be written>

docker run \
  --env DATASET_DIR=${DATASET_DIR} \
  --env OUTPUT_DIR=${OUTPUT_DIR} \
  --env http_proxy=${http_proxy} \
  --env https_proxy=${https_proxy} \
  --volume ${DATASET_DIR}:${DATASET_DIR} \
  --volume ${OUTPUT_DIR}:${OUTPUT_DIR} \
  --privileged --init -t \
  intel/object-detection:tf-latest-ssd-mobilenet-fp32-inference \
  /bin/bash quickstart/<script name>.sh

Documentation and Sources

Get Started
Docker Repo
Main GitHub
Readme
Release Notes
Get Started Guide

Code Sources
Dockerfile
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License Agreement

LEGAL NOTICE: By accessing, downloading or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party software included with the Software Package. Please refer to the license file for additional details.


Related Containers and Solutions

SSD-MobileNet FP32 Inference TensorFlow* Model Package

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Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.