This section corresponds to Google Open source TensorFlow object Detection API Object recognition System Quick start Step (i):
Quick Start:jupyter notebook for off-the-shelf inference
The steps in this section are simple and do the following:
1. After installing Jupyter in the first section, enter the Models folder directory at the Ternimal terminal to execute the command:
Jupyter-notebook
2. The Web page opens Jupyter access to the Object_detection folder, after entering the OBJECT_DETECTION_TUTORIAL.IPYNB, click the Run all in the cell, wait a few minutes, you can display the results:
Google Open source TensorFlow object dectection API Link: https://github.com/tensorflow/models/tree/master/object_detection
Copyright Notice:
Wang Old man
Source: http://www.cnblogs.com/wmr95/p/7500960.html
The copyright of this article is owned by the author and the blog Park, welcome reprint, but without the consent of the author must retain this paragraph, and in the article page obvious location to give the original link, otherwise, the author will retain the right to pursue legal responsibility.
Google Open source TensorFlow object Detection API Video Object recognition system implementation (ii) [ultra-detailed tutorial] ubuntu16.04 version