Skip to content

Latest commit

 

History

History
35 lines (27 loc) · 1.36 KB

README.md

File metadata and controls

35 lines (27 loc) · 1.36 KB
Raw

tensorflask

This is a simple example of hosting a TensorFlow model as Flask service for inference. It provides the "Poodle, Pug or Weiner Dog?" image identification service using a retrained MobileNet model. The retrained model/labels are provided here to let you run the service locally.

Setup

  1. You need Python 3.x with Flask and TensorFlow installed. You can download ActivePython 3.5 which has all the required dependencies already pre-installed.
  2. Clone to repository by clicking the clone button above.
  3. Run python app.py.

Usage

Once you've started the service, you can query it on localhost:8000. You can either hit it via a web browser, or use curl from the commandline. It takes a single parameter file which specifies the full path to a local image, so for example:

curl http://localhost:8000?file=/home/pete/mypoodle.jpg

Will send the photo to the service, which will run the model and return JSON identifying the probabilties of each type of dog breed. In this case you'll get results like:

[
  [
    "poodle", 
    "pug", 
    "dachshund"
  ], 
  [
    0.9994891881942749, 
    1.1696176443365403e-05, 
    0.0004991634050384164
  ]
]

And you can see that the model is 99% sure that the image is a poodle.

License

Licensed under the Apache 2.0 license. See LICENSE file for details.