...
Example based on this image: Sunflower from Flickr by erikslife
(keras-gpu) C:\Users> ml evaluate --config-file=./data/inceptionv3-trained.json \
--evaluation-file=./data/eval/sunflower/1.jpg
Using TensorFlow backend.
general
-------
verbose: True
debug: False
data
----
environment_path: F:/data
config_file: F:/data/inceptionv3-trained.json
evaluation_file: F:/data/eval/sunflower/1.jpg
Are these configurations correct? Continue? [Y/n] y
classes
-------
daisy: 8.53%
dandelion: 0.00%
rose: 0.00%
sunflower: 91.47%
tulip: 0.00%
-------
predicted class:
----------------
predicted: sunflower
----------------
--- time measurement for "load json config file": 0.0010s ---
--- time measurement for "load model file": 19.4119s ---
--- time measurement for "load image file": 0.0353s ---
--- time measurement for "predict image file": 4.0958s ---
- ...
- Björn Hempel [email protected] - Initial work - https://github.com/bjoern-hempel
This tutorial is licensed under the MIT License - see the LICENSE.md file for details
Have fun! :)