Skip to content

PrabhatCS/TensorPy

 
 

Repository files navigation

TensorPy

pypi Python version MIT License Join the chat at https://gitter.im/TensorPy/Lobby GitHub stars

Easy Image Classification with TensorFlow

TensorPy Tutorial

(Watch the 2-minute tutorial on YouTube)

Now runs much faster since video released!

You can use TensorPy to classify images by simply passing a URL on the command line, or by using TensorPy in your Python programs. TensorFlow does all the real work. TensorPy also simplifies TensorFlow installation by automating several setup steps into a single script (See install.sh and python3_install.sh for details).

(Read how_tensorpy_works for a detailed explanation of how TensorPy works.)

Setup Steps for Mac & Ubuntu/Linux

(Windows & Docker users: See the Docker ReadMe for running on a Docker machine. Windows requires Docker to run TensorFlow.)

Step 1: Create and activate a virtual environment named "tensorpy"

If you're not sure how to create a virtual environment, follow these instructions to learn how.

Step 2: Clone the TensorPy repo from GitHub

git clone https://github.com/TensorPy/TensorPy.git
cd TensorPy

Step 3: Install TensorPy, TensorFlow, and ImageNet/Inception

For Python 2.7 users, use install.sh to install everything you need.

./install.sh

For Python 3 users, use python3_install.sh to install everything you need.

./python3_install.sh

Step 4: Run the examples

Classify a single image from a URL:

classify "http://cdn2.hubspot.net/hubfs/100006/happy_animal.jpg"

Classify all images on a web page:

classify "https://github.com/TensorPy/TensorPy/tree/master/examples/images"

Classify a single image URL from a Python script: (See test_python_classify.py for details.)

python examples/test_python_classify.py

Classify an image from a local file path:

classify examples/images/cat_animal.jpg

Classify all images from a local folder:

classify examples/images/

Examples in Python programs:

(NOTE: If you're using Python 3 instead of Python 2.7, replace "python" with "python3" on the command line.)

Classify an image from a local file path using a Python script: (See test_python_file_classify.py for details.)

cd examples
python test_python_file_classify.py

Classify all images in a local folder using a Python script (Output = LIST): (See test_python_folder_classify.py for details.)

cd examples
python test_python_folder_classify.py

Classify all images in a local folder using a Python script (Output = DICTIONARY): (See test_python_folder_classify_dict.py for details.)

cd examples
python test_python_folder_classify_dict.py

Future Work:

Eventually, the headline will change from "Image Classification with TensorFlow made easy!" to "Machine Learning with TensorFlow made easy!" once I expand on TensorPy to make other features of TensorFlow easier too. Stay tuned for updates!

About

Easy Image Classification with TensorFlow

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 93.0%
  • Shell 7.0%