[PYTHON] Introduction to TensorFlow-Image Recognition

Following Introduction to TensorFlow Hello World, I tried image recognition using learning data called ImageNet.

syntax

(tensorflow)$ python classify_image.py --image_file [Image file]

I downloaded the image of the stove with wget and executed it as follows.

wget https://qiita-image-store.s3.amazonaws.com/0/26079/ef75a5b4-8ddd-0015-9b3d-194b55a6b88e.jpeg
python classify_image.py --image_file ef75a5b4-8ddd-0015-9b3d-194b55a6b88e.jpeg

Display result

stove (score = 0.99871)
fire screen, fireguard (score = 0.00047)
space heater (score = 0.00021)
rotisserie (score = 0.00002)
table lamp (score = 0.00002)

Is the probability of being a stove 99%? smart

reference: http://qiita.com/nkjm/items/a2dada74d48b29f0e5f4

Recommended Posts

Introduction to TensorFlow-Image Recognition
Introduction to MQTT (Introduction)
Introduction to Scrapy (1)
Introduction to Scrapy (3)
Introduction to Supervisor
Introduction to Tkinter 1: Introduction
Introduction to PyQt
Introduction to Scrapy (2)
[Linux] Introduction to Linux
Introduction to Scrapy (4)
Introduction to discord.py (2)
Introduction to discord.py
Introduction to Lightning pytorch
Introduction to Web Scraping
Introduction to Nonparametric Bayes
Introduction to EV3 / MicroPython
Introduction to Python language
Introduction to OpenCV (python)-(2)
Introduction to PyQt4 Part 1
Introduction to Dependency Injection
Introduction to Private Chainer
Introduction to machine learning
AOJ Introduction to Programming Topic # 1, Topic # 2, Topic # 3, Topic # 4
Introduction to electronic paper modules
A quick introduction to pytest-mock
Introduction to dictionary lookup algorithm
Introduction to Monte Carlo Method
[Learning memorandum] Introduction to vim
Introduction to PyTorch (1) Automatic differentiation
opencv-python Introduction to image processing
Introduction to Python Django (2) Win
Introduction to Cython Writing [Notes]
An introduction to private TensorFlow
Kubernetes Scheduler Introduction to Homebrew
An introduction to machine learning
[Introduction to cx_Oracle] Overview of cx_Oracle
A super introduction to Linux
AOJ Introduction to Programming Topic # 7, Topic # 8
[Introduction to pytorch-lightning] First Lit ♬
Introduction to Anomaly Detection 1 Basics
Introduction to RDB with sqlalchemy Ⅰ
[Introduction to Systre] Fibonacci Retracement ♬
Introduction to Nonlinear Optimization (I)
Introduction to serial communication [Python]
AOJ Introduction to Programming Topic # 5, Topic # 6
Introduction to Deep Learning ~ Learning Rules ~
[Introduction to Python] <list> [edit: 2020/02/22]
Introduction to Python (Python version APG4b)
An introduction to Python Programming
[Introduction to cx_Oracle] (8th) cx_Oracle 8.0 release
Introduction to discord.py (3) Using voice
An introduction to Bayesian optimization
Deep Reinforcement Learning 1 Introduction to Reinforcement Learning
Super introduction to machine learning
Introduction to Ansible Part ③'Inventory'
Series: Introduction to cx_Oracle Contents
[Introduction] How to use open3d
Introduction to Python For, While
Introduction to Deep Learning ~ Backpropagation ~
Introduction to Ansible Part ④'Variable'
Introduction to vi command (memorandum)