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# Description:
# TensorFlow C++ inference example for labeling images.
package(
default_visibility = ["//tensorflow:internal"],
)
licenses(["notice"]) # Apache 2.0
exports_files(["LICENSE"])
exports_files(["data/grace_hopper.jpg"])
load("//tensorflow:tensorflow.bzl", "tf_cc_binary")
tf_cc_binary(
name = "label_image",
srcs = [
"main.cc",
],
linkopts = select({
"//tensorflow:android": [
"-pie",
"-landroid",
"-ljnigraphics",
"-llog",
"-lm",
"-z defs",
"-s",
"-Wl,--exclude-libs,ALL",
],
"//conditions:default": ["-lm"],
}),
deps = select({
"//tensorflow:android": [
# cc:cc_ops is used to include image ops (for label_image)
# Jpg, gif, and png related code won't be included
"//tensorflow/cc:cc_ops",
"//tensorflow/core:android_tensorflow_lib",
# cc:android_tensorflow_image_op is for including jpeg/gif/png
# decoder to enable real-image evaluation on Android
"//tensorflow/core/kernels:android_tensorflow_image_op",
],
"//conditions:default": [
"//tensorflow/cc:cc_ops",
"//tensorflow/core:core_cpu",
"//tensorflow/core:framework",
"//tensorflow/core:framework_internal",
"//tensorflow/core:lib",
"//tensorflow/core:protos_all_cc",
"//tensorflow/core:tensorflow",
],
}),
)
py_binary(
name = "label_image_py",
srcs = ["label_image.py"],
main = "label_image.py",
srcs_version = "PY2AND3",
deps = [
"//tensorflow:tensorflow_py",
],
)
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