Object Detection In Tensorflow - Part 1

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Object Detection In Tensorflow for single image detection

Github

First, we have a look at the following effect photos

These effect pictures are recognized from my hands-on experience. It’s very easy to do that. With detailed code, I won’t mentioned in this blog post.

If you want to hands-on this simple project, see following link for that.

Object Detection Official Documentation

Object Detection Tutorial

Note that, you have to follow the steps to install packages regarding to the environment. Installation Guide

protoc = 3.4.0 （The v3.4.0 is not the latest, but it requires.）
tensorflow
PIL
matplotlib
jupyter
pillow
lxml

When the v3.4.0 of protoc has downloaded and installed, and Github Code also downloaded, you have to compile these *.proto files in the directory object_detection/protos/*.proto, and run the following command

# From tensorflow/models/research/
protoc object_detection/protos/*.proto --python_out=.

See this installation.md , and follow every steps in, finally, you’ll see the effects.

1.Using Tensorflow Object Detection to do Pixel Wise Classification

2.Building a Custom Mask RCNN model with Tensorflow Object Detection

3.Pre-trained Models