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diff --git a/tensorflow/examples/label_image/README.md b/tensorflow/examples/label_image/README.md index 1103caf586..c5857f394a 100644 --- a/tensorflow/examples/label_image/README.md +++ b/tensorflow/examples/label_image/README.md @@ -1,4 +1,4 @@ -# TensorFlow C++ Image Recognition Demo +# TensorFlow C++ and Python Image Recognition Demo This example shows how you can load a pre-trained TensorFlow network and use it to recognize objects in images in C++. For Java see the [Java @@ -64,3 +64,24 @@ $ bazel-bin/tensorflow/examples/label_image/label_image --image=my_image.png For a more detailed look at this code, you can check out the C++ section of the [Inception tutorial](https://tensorflow.org/tutorials/image_recognition/). + +## Python implementation + +label_image.py is a python implementation that provides code corresponding +to the C++ code here. This gives more intuitive mapping between C++ and +Python than the Python code mentioned in the +[Inception tutorial](https://tensorflow.org/tutorials/image_recognition/). +and could be easier to add visualization or debug code. + +With tensorflow python package installed, you can run it like: +```bash +$ python3 tensorflow/examples/label_image/label_image.py +``` +And get result similar to this: +``` +military uniform 0.834305 +mortarboard 0.0218694 +academic gown 0.0103581 +pickelhaube 0.00800818 +bulletproof vest 0.0053509 +``` |