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cmake_minimum_required(VERSION 3.4.3) | |
project(test_halide CXX) | |
include_directories( | |
~/Halide/build/include | |
) | |
link_directories( | |
~/Halide/build/lib | |
) |
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{ | |
Halide::Var x("x"), xo("xo"), xi("xi"); | |
Halide::Func f("f"); | |
f(x) = x + 777; | |
f.bound(x, 0, 16); | |
f.split(x, xo, xi, 8).gpu_threads(xi).gpu_blocks(xo); | |
f.output_buffer().dim(0).set_bounds(0, 16); | |
Halide::Target target = Halide::get_host_target(); |
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import tensorflow as tf | |
# Read the graph. | |
with tf.gfile.FastGFile('opt_graph.pb') as f: | |
graph_def = tf.GraphDef() | |
graph_def.ParseFromString(f.read()) | |
# Remove Const nodes. | |
for i in reversed(range(len(graph_def.node))): | |
if graph_def.node[i].op == 'Const': |
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cv::Mat img = cv::imread("toucan.jpg"); | |
cv::resize(img, img, cv::Size(224, 224)); | |
img.convertTo(img, CV_32F); | |
cv::subtract(img, cv::Scalar(104.0f, 117.0f, 123.0f), img); | |
cv::divide(img, cv::Scalar(127.5f, 127.5f, 127.5f), img); | |
std::vector<cv::Mat> channels(3); | |
cv::split(img, channels); | |
cv::Mat blob({1, 3, 224, 224}, CV_32F); | |
for (int i = 0; i < 3; ++i) { | |
cv::Mat dst(224, 224, CV_32F, blob.ptr<float>(0, i)); |
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node { | |
name: "image_tensor" | |
op: "Placeholder" | |
} | |
node { | |
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/convolution" | |
op: "Conv2D" | |
input: "image_tensor" | |
input: "FeatureExtractor/MobilenetV1/Conv2d_0/weights" | |
attr { |
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node { | |
name: "image_tensor" | |
op: "Placeholder" | |
attr { | |
key: "dtype" | |
value { | |
type: DT_UINT8 | |
} | |
} | |
attr { |
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# http://answers.opencv.org/s/answers/186571 | |
node { | |
name: "input_image" | |
op: "Placeholder" | |
attr { | |
key: "dtype" | |
value { | |
type: DT_FLOAT | |
} | |
} |
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node { | |
name: "image_tensor" | |
op: "Placeholder" | |
attr { | |
key: "dtype" | |
value { | |
type: DT_UINT8 | |
} | |
} | |
attr { |
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node { | |
name: "image_tensor" | |
op: "Placeholder" | |
attr { | |
key: "dtype" | |
value { | |
type: DT_UINT8 | |
} | |
} | |
attr { |
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node { | |
name: "image_tensor" | |
op: "Placeholder" | |
attr { | |
key: "dtype" | |
value { | |
type: DT_UINT8 | |
} | |
} | |
attr { |
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