Added basic Raspberry Pi example

tensorflow/contrib/ios_examples/camera/CameraExampleViewController.mm

@@ -291,7 +291,7 @@ - (void)runCNNOnFrame:(CVPixelBufferRef)pixelBuffer {
           in + (in_y * image_width * image_channels) + (in_x * image_channels);
       float *out_pixel = out_row + (x * wanted_channels);
       for (int c = 0; c < wanted_channels; ++c) {
-        out_pixel[c] = (in_pixel[c] / input_std) - input_mean;
+        out_pixel[c] = (in_pixel[c] - input_mean) / input_std;
       }
     }
   }

tensorflow/contrib/ios_examples/simple/RunModelViewController.mm

@@ -202,7 +202,7 @@ bool PortableReadFileToProto(const std::string& file_name,
       tensorflow::uint8* in_pixel = in_row + (in_x * image_channels);
       float* out_pixel = out_row + (x * wanted_channels);
       for (int c = 0; c < wanted_channels; ++c) {
-        out_pixel[c] = (in_pixel[c] / input_std) - input_mean;
+        out_pixel[c] = (in_pixel[c] - input_mean) / input_std;
       }
     }
   }

tensorflow/contrib/pi_examples/.gitignore

@@ -0,0 +1,3 @@
+tensorflow_inception_graph.pb
+imagenet_comp_graph_label_strings.txt
+tensorflow_inception_stripped.pb

tensorflow/contrib/pi_examples/README.md

@@ -0,0 +1,39 @@
+# TensorFlow Raspberry Pi Examples
+
+This folder contains examples of how to build applications for the Raspberry Pi using TensorFlow.
+
+## Building the Examples
+
+ - Follow the Raspberry Pi section of the instructions at [tensorflow/contrib/makefile](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/makefile) to compile a static library containing the core TensorFlow code.
+
+ - Install libjpeg, so we can load image files:
+
+```
+sudo apt-get install -y libjpeg-dev
+```
+
+ - To download the example model you'll need, run these commands:
+
+```bash
+curl https://storage.googleapis.com/download.tensorflow.org/models/inception_dec_2015_stripped.zip \
+-o /tmp/inception_dec_2015_stripped.zip
+unzip /tmp/inception_dec_2015_stripped.zip \
+-d tensorflow/contrib/pi_examples/label_image/data/
+```
+
+ - From the root of the TensorFlow source tree, run `make -f tensorflow/contrib/pi_examples/label_image/Makefile` to build a basic example.
+
+## Usage
+
+Run `tensorflow/contrib/pi_examples/label_image/gen/bin/label_image` to try out image labeling with the default Grace Hopper image. You should several lines of output, with "Military Uniform" shown as the top result, something like this:
+
+```bash
+I tensorflow/contrib/pi_examples/label_image/label_image.cc:384] Running model succeeded!
+I tensorflow/contrib/pi_examples/label_image/label_image.cc:284] military uniform (866): 0.624293
+I tensorflow/contrib/pi_examples/label_image/label_image.cc:284] suit (794): 0.0473981
+I tensorflow/contrib/pi_examples/label_image/label_image.cc:284] academic gown (896): 0.0280926
+I tensorflow/contrib/pi_examples/label_image/label_image.cc:284] bolo tie (940): 0.0156956
+I tensorflow/contrib/pi_examples/label_image/label_image.cc:284] bearskin (849): 0.0143348
+```
+
+Once you've verified that is working, you can supply your own images with `--image=your_image.jpg`, or even with graphs you've trained yourself with the TensorFlow for Poets tutorial using `--graph=your_graph.pb --input=Mul:0 --output=softmax:0`.

tensorflow/contrib/pi_examples/label_image/Makefile

@@ -0,0 +1,83 @@
+# This Makefile compiles the label_image example for the Raspberry Pi.
+# See tensorflow/contrib/pi_examples/README.md for full build instructions.
+
+# Find where we're running from, so we can store generated files here.
+SCRIPT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST))))
+
+# The location of the tensorflow/contrib/makefile directory.
+TFMAKEFILE_DIR := $(SCRIPT_DIR)/../../makefile
+
+# Where compiled objects are stored.
+GENDIR := $(SCRIPT_DIR)/gen/
+OBJDIR := $(GENDIR)obj/
+LIBDIR := $(GENDIR)lib/
+BINDIR := $(GENDIR)bin/
+
+# The expected locations of the TensorFlow library.
+TFLIBDIR := $(TFMAKEFILE_DIR)/gen/lib
+TFLIBS := $(TFLIBDIR)/libtensorflow-core.a
+
+# Where the downloads have been stored.
+DOWNLOADSDIR := $(TFMAKEFILE_DIR)/downloads
+
+# The location of the compiled protobuf headers generated by TensorFlow.
+PBTGENDIR := $(TFMAKEFILE_DIR)/gen/proto_text/
+PROTOGENDIR := $(TFMAKEFILE_DIR)/gen/proto/
+
+# The name of the output program we're compiling.
+EXECUTABLE_NAME := $(BINDIR)/label_image
+
+# Settings for the target compiler.
+CXX := gcc
+OPTFLAGS := -O0
+CXXFLAGS := --std=c++11 $(OPTFLAGS)
+LDFLAGS := \
+-L/usr/local/lib \
+-L$(TFLIBDIR) \
+-Wl,--no-whole-archive
+INCLUDES := \
+-I/usr/local/include \
+-I. \
+-I$(DOWNLOADSDIR) \
+-I$(DOWNLOADSDIR)/eigen-latest/ \
+-I$(PROTOGENDIR) \
+-I$(PBTGENDIR)
+LIBS := \
+-lstdc++ \
+-lprotobuf \
+-Wl,--allow-multiple-definition \
+-Wl,--whole-archive \
+-ltensorflow-core \
+-Wl,--no-whole-archive \
+-ldl \
+-lpthread \
+-lm \
+-ljpeg
+LIBFLAGS :=
+
+EXECUTABLE_SRCS := tensorflow/contrib/pi_examples/label_image/label_image.cc
+
+# File names of the intermediate files target compilation generates.
+EXECUTABLE_OBJS := $(addprefix $(OBJDIR), $(EXECUTABLE_SRCS:.cc=.o))
+
+.PHONY: clean
+
+# The target that's compiled if there's no command-line arguments.
+all: $(EXECUTABLE_NAME)
+
+# Rules for target compilation.
+
+$(EXECUTABLE_NAME): $(EXECUTABLE_OBJS) $(TFLIBS)
+	@mkdir -p $(dir $@)
+	$(CXX) $(CXXFLAGS) $(INCLUDES) \
+	-o $(EXECUTABLE_NAME) $(EXECUTABLE_OBJS) \
+	$(LIBFLAGS) $(LIB_PATH) $(LDFLAGS) $(LIBS)
+
+# Matches on C++ source files.
+$(OBJDIR)%.o: %.cc 
+	@mkdir -p $(dir $@)
+	$(CXX) $(CXXFLAGS) $(INCLUDES) -c $< -o $@
+
+# Gets rid of all generated files.
+clean:
+	rm -rf $(GENDIR)