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Diffstat (limited to 'tensorflow/contrib/ios_examples/README.md')
| -rw-r--r-- | tensorflow/contrib/ios_examples/README.md | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/tensorflow/contrib/ios_examples/README.md b/tensorflow/contrib/ios_examples/README.md index 00c13d9c7e..6bac33c0ec 100644 --- a/tensorflow/contrib/ios_examples/README.md +++ b/tensorflow/contrib/ios_examples/README.md @@ -31,27 +31,27 @@ cp ~/graphs/inception5h/* tensorflow/contrib/ios_examples/simple/data/ - You should see a single-screen app with a "Run Model" button. Tap that, and you should see some debug output appear below indicating that the example Grace Hopper image has been analyzed, with a military uniform recognized. - + - Once you have success there, make sure you have a real device connected and - open up the Xcode project in the camera subfolder. Once you build and run + open up the Xcode project in the `camera` subfolder. Once you build and run that, you should get a live camera view that you can point at objects to get real-time recognition results. - + ## Troubleshooting If you're hitting problems, here's a checklist of common things to investigate: - - Make sure that you've run the `build_all_ios.sh` script + - Make sure that you've run the `build_all_ios.sh` script. This will run `download_dependencies.sh`,`compile_ios_protobuf.sh` and `compile_ios_tensorflow.sh`. (check each one if they have run successful.) - + - Check that you have version 7.3 of Xcode. - + - If there's a complaint about no Sessions registered, that means that the C++ global constructors that TensorFlow relies on for registration haven't been linked in properly. You'll have to make sure your project uses force_load, as described below. - + ## Creating your Own App You'll need to update various settings in your app to link against @@ -62,11 +62,11 @@ rundown: `tensorflow/contrib/makefile/gen/lib/libtensorflow-core.a`. You'll need to add this to your linking build stage, and in Search Paths add `tensorflow/contrib/makefile/gen/lib` to the Library Search Paths setting. - + - You'll also need to add `libprotobuf.a` and `libprotobuf-lite.a` from `tensorflow/contrib/makefile/gen/protobuf_ios/lib` to your _Build Stages_ and _Library Search Paths_. - + - The _Header Search_ paths needs to contain: - the root folder of tensorflow, - `tensorflow/contrib/makefile/downloads/protobuf/src` @@ -83,10 +83,10 @@ rundown: - You'll need to include the Accelerate framework in the "Link Binary with Libraries" build phase of your project. - + - C++11 support (or later) should be enabled by setting `C++ Language Dialect` to `GNU++11` (or `GNU++14`), and `C++ Standard Library` to `libc++`. - + - The library doesn't currently support bitcode, so you'll need to disable that in your project settings. |