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Update iOS examples to use CocoaPods, and moved to tensorflow/examples/ios

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PiperOrigin-RevId: 158289285
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A. Unique TensorFlower 2017-06-07 10:59:18 -07:00 committed by TensorFlower Gardener
parent dffea202a5
commit fdb8e29354
41 changed files with 831 additions and 729 deletions
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431
tensorflow/contrib/ios_examples/camera/camera_example.xcodeproj/project.pbxproj
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0
tensorflow/contrib/ios_examples/.gitignore → tensorflow/examples/ios/.gitignore vendored
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86
tensorflow/contrib/ios_examples/README.md → tensorflow/examples/ios/README.md
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@ -2,15 +2,15 @@
This folder contains examples of how to build applications for iOS devices using TensorFlow. This folder contains examples of how to build applications for iOS devices using TensorFlow.
## Building the Examples ## Running the Samples using CocoaPod
- You'll need Xcode 7.3 or later.
- You'll need Xcode 7.3 or later, with the command-line tools installed. - There are currently three examples: simple, benchmark, and camera. For now,
you can download the sample code by cloning the main tensorflow repository
(we are planning to make the samples available as a separate repository
later).
- Follow the instructions at - From the root of the tensorflow folder, download
[tensorflow/contrib/makefile](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/makefile)
under "iOS" to compile a static library containing the core TensorFlow code.
- From the root of the Tensorflow folder, download
[Inception v1](https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip), [Inception v1](https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip),
and extract the label and graph files into the data folders inside both the and extract the label and graph files into the data folders inside both the
simple and camera examples: simple and camera examples:
@ -25,8 +25,62 @@ cp ~/graphs/inception5h/* tensorflow/contrib/ios_examples/camera/data/
cp ~/graphs/inception5h/* tensorflow/contrib/ios_examples/simple/data/ cp ~/graphs/inception5h/* tensorflow/contrib/ios_examples/simple/data/
``` ```
- Load the Xcode project inside the `simple` subfolder, and press Command-R to - Change directory to one of the samples, download the TensorFlow-experimental
build and run it on the simulator or your connected device. pod, and open the Xcode workspace. Observe: installing the pod can take a
long time since it is big (~450MB). For example, if you want to run the
simple example, then:
```bash
cd tensorflow/contrib/ios_examples/simple
pod install
open tf_simple_example.xcworkspace # obs, not the .xcodeproj directory
```
- Run the simple app in the simulator. 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 in directory data has
been analyzed, with a military uniform recognized.
- Run the other samples using the same process. The camera example requires a
real device connected. 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
- Make sure you use the TensorFlow-experimental pod (and not TensorFlow).
- The TensorFlow-experimental pod is current about ~450MB. The reason it is
so big is because we are bundling multiple platforms, and the pod includes
all TensorFlow functionality (e.g. operations). This is convenient during
development, but see below section on how you can build your own custom
TensorFlow library to reduce the size.
### Creating Your own App
- Create your own app using Xcode then add a file named Podfile at the project
root directory with the following content:
```bash
target 'YourProjectName'
pod 'TensorFlow-experimental'
```
- Then you run ```pod install``` to download and install the
TensorFlow-experimental pod, and finaly perform
```open YourProjectName.xcworkspace``` and add your code.
- In your apps "Build Settings", make sure to add $(inherited) to sections
"Other Linker Flags", and "Header Search Paths".
- That's it. If you want to create your custom TensorFlow iOS library, for
example to reduce binary footprint, see below section.
## Building the TensorFlow iOS libraries from source
- You'll need Xcode 7.3 or later, with the command-line tools installed.
- Follow the instructions at
[tensorflow/contrib/makefile](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/makefile)
under "iOS" to compile a static library containing the core TensorFlow code.
- You should see a single-screen app with a "Run Model" button. Tap that, and - 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 you should see some debug output appear below indicating that the example
@ -36,8 +90,8 @@ cp ~/graphs/inception5h/* tensorflow/contrib/ios_examples/simple/data/
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 that, you should get a live camera view that you can point at objects to get
real-time recognition results. real-time recognition results.
## Troubleshooting ### Troubleshooting
If you're hitting problems, here's a checklist of common things to investigate: If you're hitting problems, here's a checklist of common things to investigate:
@ -52,7 +106,7 @@ If you're hitting problems, here's a checklist of common things to investigate:
linked in properly. You'll have to make sure your project uses force_load, as linked in properly. You'll have to make sure your project uses force_load, as
described below. described below.
## Creating your Own App ### Creating your Own App from your source libraries
You'll need to update various settings in your app to link against You'll need to update various settings in your app to link against
TensorFlow. You can view them in the example projects, but here's a full TensorFlow. You can view them in the example projects, but here's a full
@ -96,7 +150,7 @@ rundown:
`-all_load` to avoid issues with Objective-C categories in static libraries, `-all_load` to avoid issues with Objective-C categories in static libraries,
you may be able to replace it with the `-ObjC` flag. you may be able to replace it with the `-ObjC` flag.
## Reducing the binary size ### Reducing the binary size
TensorFlow is a comparatively large library for a mobile device, so it will TensorFlow is a comparatively large library for a mobile device, so it will
increase the size of your app. Currently on iOS we see around a 11 MB binary increase the size of your app. Currently on iOS we see around a 11 MB binary
@ -115,17 +169,17 @@ looking at the simple example to examine its size. Here's how you do that:
- Once the build's complete, open the Report Navigator and select the logs. - Once the build's complete, open the Report Navigator and select the logs.
- Near the bottom, you'll see a line saying "Touch tf_ios_makefile_example.app". - Near the bottom, you'll see a line saying "Touch tf_simple_example.app".
- Expand that line using the icon on the right, and copy the first argument to - Expand that line using the icon on the right, and copy the first argument to
the Touch command. the Touch command.
- Go to the terminal, type `ls -lah ` and then paste the path you copied. - Go to the terminal, type `ls -lah ` and then paste the path you copied.
- For example it might look like `ls -lah /Users/petewarden/Library/Developer/Xcode/DerivedData/tf_ios_makefile_example-etdbksqytcnzeyfgdwiihzkqpxwr/Build/Products/Debug-iphoneos/tf_ios_makefile_example.app` - For example it might look like `ls -lah /Users/petewarden/Library/Developer/Xcode/DerivedData/tf_simple_example-etdbksqytcnzeyfgdwiihzkqpxwr/Build/Products/Debug-iphoneos/tf_simple_example.app`
- Running this command will show the size of the executable as the - Running this command will show the size of the executable as the
`tf_ios_makefile_example` line. `tf_simple_example` line.
Right now you'll see a size of around 23 MB, since it's including two Right now you'll see a size of around 23 MB, since it's including two
architectures (armv7 and arm64). As a first step, you should make sure the size architectures (armv7 and arm64). As a first step, you should make sure the size

0
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6
tensorflow/contrib/ios_examples/benchmark/Benchmark-Info.plist → tensorflow/examples/ios/benchmark/Benchmark-Info.plist
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@ -5,11 +5,11 @@
<key>CFBundleDevelopmentRegion</key> <key>CFBundleDevelopmentRegion</key>
<string>en</string> <string>en</string>
<key>CFBundleDisplayName</key> <key>CFBundleDisplayName</key>
<string>TF Benchmark</string> <string>tf_benchmark_example</string>
<key>CFBundleExecutable</key> <key>CFBundleExecutable</key>
<string>benchmark</string> <string>tf_benchmark_example</string>
<key>CFBundleIdentifier</key> <key>CFBundleIdentifier</key>
<string>Google.Benchmark</string> <string>com.google.tf_benchmark_example</string>
<key>CFBundleInfoDictionaryVersion</key> <key>CFBundleInfoDictionaryVersion</key>
<string>6.0</string> <string>6.0</string>
<key>CFBundleName</key> <key>CFBundleName</key>

0
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26
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@ -22,17 +22,17 @@
#include <sstream> #include <sstream>
#include <string> #include <string>
#include "google/protobuf/io/coded_stream.h" //#include "google/protobuf/io/coded_stream.h"
#include "google/protobuf/io/zero_copy_stream_impl.h" //#include "google/protobuf/io/zero_copy_stream_impl.h"
#include "google/protobuf/io/zero_copy_stream_impl_lite.h" //#include "google/protobuf/io/zero_copy_stream_impl_lite.h"
#include "google/protobuf/message_lite.h" //#include "google/protobuf/message_lite.h"
#include "tensorflow/core/framework/op_kernel.h" #include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/tensor.h" //#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/types.pb.h" //#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/env.h" //#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/logging.h" //#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/mutex.h" //#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/types.h" //#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/session.h" #include "tensorflow/core/public/session.h"
#include "tensorflow/core/util/stat_summarizer.h" #include "tensorflow/core/util/stat_summarizer.h"
@ -52,7 +52,7 @@ class IfstreamInputStream : public ::google::protobuf::io::CopyingInputStream {
return -1; return -1;
} }
ifs_.read(static_cast<char*>(buffer), size); ifs_.read(static_cast<char*>(buffer), size);
return ifs_.gcount(); return (int)ifs_.gcount();
} }
private: private:
@ -85,7 +85,7 @@ static void GetTopN(
std::greater<std::pair<float, int>>> std::greater<std::pair<float, int>>>
top_result_pq; top_result_pq;
const int count = prediction.size(); long count = prediction.size();
for (int i = 0; i < count; ++i) { for (int i = 0; i < count; ++i) {
const float value = prediction(i); const float value = prediction(i);
@ -178,7 +178,7 @@ tensorflow::Status BenchmarkInference(
stat_summarizer->PrintStepStats(); stat_summarizer->PrintStepStats();
*average_time = total_time / iterations_count; *average_time = total_time / iterations_count;
NSLog(@"Took %f seconds", average_time); NSLog(@"Took %f seconds", *average_time);
return tensorflow::Status::OK(); return tensorflow::Status::OK();
} }

0
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5
tensorflow/examples/ios/benchmark/Podfile Normal file
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@ -0,0 +1,5 @@
platform :ios, '8.0'
inhibit_all_warnings!
target 'tf_benchmark_example'
pod 'TensorFlow-experimental'

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tensorflow/contrib/ios_examples/benchmark/benchmark.xcodeproj/project.pbxproj → tensorflow/examples/ios/benchmark/tf_benchmark_example.xcodeproj/project.pbxproj
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@ -155,40 +158,123 @@
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@ -225,7 +313,7 @@
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ONLY_ACTIVE_ARCH = YES; ONLY_ACTIVE_ARCH = YES;
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@ -246,8 +334,10 @@
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@ -263,7 +353,7 @@
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0
tensorflow/contrib/ios_examples/camera/CameraExampleAppDelegate.h → tensorflow/examples/ios/camera/CameraExampleAppDelegate.h
View File

0
tensorflow/contrib/ios_examples/camera/CameraExampleAppDelegate.m → tensorflow/examples/ios/camera/CameraExampleAppDelegate.m
View File

1
tensorflow/contrib/ios_examples/camera/CameraExampleViewController.h → tensorflow/examples/ios/camera/CameraExampleViewController.h
View File

@ -29,6 +29,7 @@
dispatch_queue_t videoDataOutputQueue; dispatch_queue_t videoDataOutputQueue;
AVCaptureStillImageOutput *stillImageOutput; AVCaptureStillImageOutput *stillImageOutput;
UIView *flashView; UIView *flashView;
UIImage *square;
BOOL isUsingFrontFacingCamera; BOOL isUsingFrontFacingCamera;
AVSpeechSynthesizer *synth; AVSpeechSynthesizer *synth;
NSMutableDictionary *oldPredictionValues; NSMutableDictionary *oldPredictionValues;

31
tensorflow/contrib/ios_examples/camera/CameraExampleViewController.mm → tensorflow/examples/ios/camera/CameraExampleViewController.mm
View File

@ -323,10 +323,10 @@ didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer
auto predictions = output->flat<float>(); auto predictions = output->flat<float>();
NSMutableDictionary *newValues = [NSMutableDictionary dictionary]; NSMutableDictionary *newValues = [NSMutableDictionary dictionary];
for (int index = 0; index < predictions.size(); ++index) { for (int index = 0; index < predictions.size(); index += 1) {
const float predictionValue = predictions(index); const float predictionValue = predictions(index);
if (predictionValue > 0.05f) { if (predictionValue > 0.05f) {
std::string label = labels[index]; std::string label = labels[index % predictions.size()];
NSString *labelObject = [NSString stringWithUTF8String:label.c_str()]; NSString *labelObject = [NSString stringWithUTF8String:label.c_str()];
NSNumber *valueObject = [NSNumber numberWithFloat:predictionValue]; NSNumber *valueObject = [NSNumber numberWithFloat:predictionValue];
[newValues setObject:valueObject forKey:labelObject]; [newValues setObject:valueObject forKey:labelObject];
@ -369,12 +369,17 @@ didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer
isUsingFrontFacingCamera = !isUsingFrontFacingCamera; isUsingFrontFacingCamera = !isUsingFrontFacingCamera;
} }
- (void)didReceiveMemoryWarning {
[super didReceiveMemoryWarning];
}
- (void)viewDidLoad { - (void)viewDidLoad {
[super viewDidLoad]; [super viewDidLoad];
square = [UIImage imageNamed:@"squarePNG"];
synth = [[AVSpeechSynthesizer alloc] init]; synth = [[AVSpeechSynthesizer alloc] init];
labelLayers = [[NSMutableArray alloc] init]; labelLayers = [[NSMutableArray alloc] init];
oldPredictionValues = [[NSMutableDictionary alloc] init]; oldPredictionValues = [[NSMutableDictionary alloc] init];
tensorflow::Status load_status; tensorflow::Status load_status;
if (model_uses_memory_mapping) { if (model_uses_memory_mapping) {
load_status = LoadMemoryMappedModel( load_status = LoadMemoryMappedModel(
@ -394,6 +399,26 @@ didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer
[self setupAVCapture]; [self setupAVCapture];
} }
- (void)viewDidUnload {
[super viewDidUnload];
}
- (void)viewWillAppear:(BOOL)animated {
[super viewWillAppear:animated];
}
- (void)viewDidAppear:(BOOL)animated {
[super viewDidAppear:animated];
}
- (void)viewWillDisappear:(BOOL)animated {
[super viewWillDisappear:animated];
}
- (void)viewDidDisappear:(BOOL)animated {
[super viewDidDisappear:animated];
}
- (BOOL)shouldAutorotateToInterfaceOrientation: - (BOOL)shouldAutorotateToInterfaceOrientation:
(UIInterfaceOrientation)interfaceOrientation { (UIInterfaceOrientation)interfaceOrientation {
return (interfaceOrientation == UIInterfaceOrientationPortrait); return (interfaceOrientation == UIInterfaceOrientationPortrait);

2
tensorflow/contrib/ios_examples/camera/Info.plist → tensorflow/examples/ios/camera/Info.plist
View File

@ -5,7 +5,7 @@
<key>CFBundleDevelopmentRegion</key> <key>CFBundleDevelopmentRegion</key>
<string>en</string> <string>en</string>
<key>CFBundleDisplayName</key> <key>CFBundleDisplayName</key>
<string>${PRODUCT_NAME}</string> <string>tf_camera_example</string>
<key>CFBundleExecutable</key> <key>CFBundleExecutable</key>
<string>${EXECUTABLE_NAME}</string> <string>${EXECUTABLE_NAME}</string>
<key>CFBundleIdentifier</key> <key>CFBundleIdentifier</key>

0
tensorflow/contrib/ios_examples/camera/en.lproj/MainStoryboard_iPhone.storyboard → tensorflow/examples/ios/camera/MainStoryboard_iPhone.storyboard
View File

5
tensorflow/examples/ios/camera/Podfile Normal file
View File

@ -0,0 +1,5 @@
platform :ios, '8.0'
inhibit_all_warnings!
target 'tf_camera_example'
pod 'TensorFlow-experimental'

0
tensorflow/contrib/ios_examples/simple/data/grace_hopper.jpg → tensorflow/examples/ios/camera/data/grace_hopper.jpg
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tensorflow/contrib/ios_examples/camera/ios_image_load.h → tensorflow/examples/ios/camera/ios_image_load.h
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tensorflow/contrib/ios_examples/camera/ios_image_load.mm → tensorflow/examples/ios/camera/ios_image_load.mm
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0
tensorflow/contrib/ios_examples/camera/main.mm → tensorflow/examples/ios/camera/main.mm
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0
tensorflow/contrib/ios_examples/camera/tensorflow_utils.h → tensorflow/examples/ios/camera/tensorflow_utils.h
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14
tensorflow/contrib/ios_examples/camera/tensorflow_utils.mm → tensorflow/examples/ios/camera/tensorflow_utils.mm
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@ -23,18 +23,6 @@
#include <sstream> #include <sstream>
#include <string> #include <string>
#include "google/protobuf/io/coded_stream.h"
#include "google/protobuf/io/zero_copy_stream_impl.h"
#include "google/protobuf/io/zero_copy_stream_impl_lite.h"
#include "google/protobuf/message_lite.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/session.h"
namespace { namespace {
// Helper class used to load protobufs efficiently. // Helper class used to load protobufs efficiently.
@ -228,4 +216,4 @@ tensorflow::Status LoadLabels(NSString* file_name, NSString* file_type,
} }
t.close(); t.close();
return tensorflow::Status::OK(); return tensorflow::Status::OK();
} }

412
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buildConfigurations = (
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rootObject = 591157931CF4011C00C31E3A /* Project object */;
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0
tensorflow/contrib/ios_examples/simple/AppDelegate.h → tensorflow/examples/ios/simple/AppDelegate.h
View File

0
tensorflow/contrib/ios_examples/simple/AppDelegate.mm → tensorflow/examples/ios/simple/AppDelegate.mm
View File

5
tensorflow/examples/ios/simple/Podfile Normal file
View File

@ -0,0 +1,5 @@
platform :ios, '8.0'
inhibit_all_warnings!
target 'tf_simple_example'
pod 'TensorFlow-experimental'

6
tensorflow/contrib/ios_examples/simple/RunModel-Info.plist → tensorflow/examples/ios/simple/RunModel-Info.plist
View File

@ -5,11 +5,11 @@
<key>CFBundleDevelopmentRegion</key> <key>CFBundleDevelopmentRegion</key>
<string>en</string> <string>en</string>
<key>CFBundleDisplayName</key> <key>CFBundleDisplayName</key>
<string>tf_ios_makefile_example</string> <string>tf_simple_example</string>
<key>CFBundleExecutable</key> <key>CFBundleExecutable</key>
<string>tf_ios_makefile_example</string> <string>tf_simple_example</string>
<key>CFBundleIdentifier</key> <key>CFBundleIdentifier</key>
<string>Google.RunModel</string> <string>$(PRODUCT_BUNDLE_IDENTIFIER)</string>
<key>CFBundleInfoDictionaryVersion</key> <key>CFBundleInfoDictionaryVersion</key>
<string>6.0</string> <string>6.0</string>
<key>CFBundleName</key> <key>CFBundleName</key>

0
tensorflow/contrib/ios_examples/simple/RunModelViewController.h → tensorflow/examples/ios/simple/RunModelViewController.h
View File

20
tensorflow/contrib/ios_examples/simple/RunModelViewController.mm → tensorflow/examples/ios/simple/RunModelViewController.mm
View File

@ -21,17 +21,7 @@
#include <sstream> #include <sstream>
#include <string> #include <string>
#include "google/protobuf/io/coded_stream.h"
#include "google/protobuf/io/zero_copy_stream_impl.h"
#include "google/protobuf/io/zero_copy_stream_impl_lite.h"
#include "google/protobuf/message_lite.h"
#include "tensorflow/core/framework/op_kernel.h" #include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/session.h" #include "tensorflow/core/public/session.h"
#include "ios_image_load.h" #include "ios_image_load.h"
@ -50,7 +40,7 @@ class IfstreamInputStream : public ::google::protobuf::io::CopyingInputStream {
return -1; return -1;
} }
ifs_.read(static_cast<char*>(buffer), size); ifs_.read(static_cast<char*>(buffer), size);
return ifs_.gcount(); return (int)ifs_.gcount();
} }
private: private:
@ -83,7 +73,7 @@ static void GetTopN(
std::vector<std::pair<float, int> >, std::vector<std::pair<float, int> >,
std::greater<std::pair<float, int> > > top_result_pq; std::greater<std::pair<float, int> > > top_result_pq;
const int count = prediction.size(); const long count = prediction.size();
for (int i = 0; i < count; ++i) { for (int i = 0; i < count; ++i) {
const float value = prediction(i); const float value = prediction(i);
@ -121,7 +111,7 @@ bool PortableReadFileToProto(const std::string& file_name,
// eventually remove this and quit loud when a large protobuf is passed in. // eventually remove this and quit loud when a large protobuf is passed in.
::google::protobuf::io::CodedInputStream coded_stream(&stream); ::google::protobuf::io::CodedInputStream coded_stream(&stream);
// Total bytes hard limit / warning limit are set to 1GB and 512MB // Total bytes hard limit / warning limit are set to 1GB and 512MB
// respectively. // respectively.
coded_stream.SetTotalBytesLimit(1024LL << 20, 512LL << 20); coded_stream.SetTotalBytesLimit(1024LL << 20, 512LL << 20);
return proto->ParseFromCodedStream(&coded_stream); return proto->ParseFromCodedStream(&coded_stream);
} }
@ -192,7 +182,7 @@ NSString* RunInferenceOnImage() {
1, wanted_height, wanted_width, wanted_channels})); 1, wanted_height, wanted_width, wanted_channels}));
auto image_tensor_mapped = image_tensor.tensor<float, 4>(); auto image_tensor_mapped = image_tensor.tensor<float, 4>();
tensorflow::uint8* in = image_data.data(); tensorflow::uint8* in = image_data.data();
tensorflow::uint8* in_end = (in + (image_height * image_width * image_channels)); // tensorflow::uint8* in_end = (in + (image_height * image_width * image_channels));
float* out = image_tensor_mapped.data(); float* out = image_tensor_mapped.data();
for (int y = 0; y < wanted_height; ++y) { for (int y = 0; y < wanted_height; ++y) {
const int in_y = (y * image_height) / wanted_height; const int in_y = (y * image_height) / wanted_height;
@ -209,7 +199,7 @@ NSString* RunInferenceOnImage() {
} }
NSString* result = [network_path stringByAppendingString: @" - loaded!"]; NSString* result = [network_path stringByAppendingString: @" - loaded!"];
result = [NSString stringWithFormat: @"%@ - %d, %s - %dx%d", result, result = [NSString stringWithFormat: @"%@ - %lu, %s - %dx%d", result,
label_strings.size(), label_strings[0].c_str(), image_width, image_height]; label_strings.size(), label_strings[0].c_str(), image_width, image_height];
std::string input_layer = "input"; std::string input_layer = "input";

0
tensorflow/contrib/ios_examples/simple/RunModelViewController.xib → tensorflow/examples/ios/simple/RunModelViewController.xib
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BIN
tensorflow/examples/ios/simple/data/grace_hopper.jpg Normal file
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0
tensorflow/contrib/ios_examples/simple/ios_image_load.h → tensorflow/examples/ios/simple/ios_image_load.h
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0
tensorflow/contrib/ios_examples/simple/ios_image_load.mm → tensorflow/examples/ios/simple/ios_image_load.mm
View File

0
tensorflow/contrib/ios_examples/simple/main.mm → tensorflow/examples/ios/simple/main.mm
View File

197
tensorflow/contrib/ios_examples/simple/tf_ios_makefile_example.xcodeproj/project.pbxproj → tensorflow/examples/ios/simple/tf_simple_example.xcodeproj/project.pbxproj
View File

@ -7,9 +7,9 @@
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59A3D0031CF4E68100C4259F /* grace_hopper.jpg in Resources */ = {isa = PBXBuildFile; fileRef = 59A3CFF51CF4E68100C4259F /* grace_hopper.jpg */; }; 59A3D0031CF4E68100C4259F /* grace_hopper.jpg in Resources */ = {isa = PBXBuildFile; fileRef = 59A3CFF51CF4E68100C4259F /* grace_hopper.jpg */; };
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59A3CFFA1CF4E68100C4259F /* ios_image_load.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = ios_image_load.h; sourceTree = "<group>"; }; 59A3CFFA1CF4E68100C4259F /* ios_image_load.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = ios_image_load.h; sourceTree = "<group>"; };
59A3CFFB1CF4E68100C4259F /* ios_image_load.mm */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.cpp.objcpp; path = ios_image_load.mm; sourceTree = "<group>"; }; 59A3CFFB1CF4E68100C4259F /* ios_image_load.mm */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.cpp.objcpp; path = ios_image_load.mm; sourceTree = "<group>"; };
@ -42,9 +37,9 @@
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59A3D0171CF4E86100C4259F /* UIKit.framework */ = {isa = PBXFileReference; lastKnownFileType = wrapper.framework; name = UIKit.framework; path = System/Library/Frameworks/UIKit.framework; sourceTree = SDKROOT; }; 8C94FEE43FD467468C5B75AA /* Pods-tf_simple_example.debug.xcconfig */ = {isa = PBXFileReference; includeInIndex = 1; lastKnownFileType = text.xcconfig; name = "Pods-tf_simple_example.debug.xcconfig"; path = "Pods/Target Support Files/Pods-tf_simple_example/Pods-tf_simple_example.debug.xcconfig"; sourceTree = "<group>"; };
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name = Products; name = Products;
sourceTree = "<group>"; sourceTree = "<group>";
@ -97,11 +106,8 @@
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); );
path = data; path = data;
@ -110,21 +116,24 @@
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