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Merge pull request #9313 from dkurt:dnn_perf_test

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Vadim Pisarevsky
2017-09-16 19:39:23 +00:00
parent 99fae8146f 5c43a394c5
commit 4196543cd5
7 changed files with 131 additions and 26 deletions
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doc/tutorials/dnn/dnn_halide/dnn_halide.markdown
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@@ -8,20 +8,7 @@ according to specific device and evaluate it with a quite good efficiency.
An official website of the Halide project: http://halide-lang.org/.
## Efficiency comparison
Measured on Intel® Core™ i7-6700K CPU @ 4.00GHz x 8.
Single image forward pass (in milliseconds):
| Architecture | MKL backend | Halide backend | Speed Up ratio |
|-----------------:|------------:|---------------:|---------------:|
| AlexNet | 16.55 | 22.38 | x0.73 |
| ResNet-50 | 63.69 | 73.91 | x0.86 |
| SqueezeNet v1.1 | 10.11 | 8.21 | x1.23 |
| Inception-5h | 35.38 | 37.06 | x0.95 |
| ENet @ 3x512x256 | 82.26 | 41.21 | x1.99 |
Scheduling directives might be found @ [opencv_extra/testdata/dnn](https://github.com/opencv/opencv_extra/tree/master/testdata/dnn).
An up to date efficiency comparison: https://github.com/opencv/opencv/wiki/DNN-Efficiency
## Requirements
### LLVM compiler
@@ -81,6 +68,8 @@ MSBuild.exe /m:4 /t:Build /p:Configuration=Release .\\ALL_BUILD.vcxproj
## Build OpenCV with Halide backend
When you build OpenCV add the following configuration flags:
- `ENABLE_CXX11` - enable C++11 standard
- `WITH_HALIDE` - enable Halide linkage
- `HALIDE_ROOT_DIR` - path to Halide build directory