OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
hyunback kim f00dabc184
Add input image scale option in benchmark App (#5848)
* Add input image scale flag in benchmark app.

- user set input image scale with -iscale.
  input is divided by scale.

Signed-off-by: hyunback <hyunback.kim@intel.com>

* Apply image scale, mean parameter in benchmark APP

Means and sacles values per channel

Signed-off-by: hyunback <hyunback.kim@intel.com>

* Fix clang-format

Signed-off-by: hyunback <hyunback.kim@intel.com>

* fix clang-format issue2.

Signed-off-by: hyunback <hyunback.kim@intel.com>

* Update benchmark tool to align the format of mean and sacle values with MO arguments.

Signed-off-by: hyunback <hyunback.kim@intel.com>

* Remove debug print.

Signed-off-by: hyunback <hyunback.kim@intel.com>
2021-08-04 19:51:46 +03:00
.ci Separate executable for paddlepaddle unit tests (#6862) 2021-08-04 10:21:07 +03:00
.github Enabled code style check for tests (#6724) 2021-07-20 18:59:38 +03:00
cmake disable debug postfix on mac (#6827) 2021-08-04 10:45:41 +03:00
docs supported Paddle Op list (#6687) 2021-08-04 17:21:51 +03:00
inference-engine Add input image scale option in benchmark App (#5848) 2021-08-04 19:51:46 +03:00
licensing [Speech sample] Added numpy array support (#5479) 2021-06-03 12:22:06 +03:00
model-optimizer [MO] Range output_type correction for FP16 (#6590) 2021-08-02 11:41:12 +03:00
ngraph Enable NopEliminatoin inside MO Backend (#6874) 2021-08-04 13:53:06 +03:00
openvino Fixed compilation with Intel compiler (#6788) 2021-07-26 12:42:05 +03:00
scripts Static library for ngraph::frontend_manager (#6719) 2021-07-22 02:42:34 +03:00
tests Added missing modules for timetests (#6896) 2021-08-03 12:19:40 +03:00
thirdparty Use original onnx (#6673) 2021-08-04 07:43:13 +03:00
tools Add input image scale option in benchmark App (#5848) 2021-08-04 19:51:46 +03:00
.gitattributes Convert *.png and *.bmp files to LFS 2021-07-08 14:06:38 +03:00
.gitignore publish master branch snapshot, revision 8d31237e2c3f673cbb0f0ba110fc10f5cce1d2bb 2020-05-22 02:23:12 +03:00
.gitmodules Use original onnx (#6673) 2021-08-04 07:43:13 +03:00
CMakeLists.txt Use protobuf-lite for ONNX FE by default (#6829) 2021-07-31 17:21:35 +03:00
CODEOWNERS add a new label to track 3d party changes (#6610) 2021-07-13 16:18:19 +03:00
install_build_dependencies.sh Azure CI: Move openvino-lin to Ubuntu 20.04 (#6898) 2021-08-03 13:00:59 +03:00
Jenkinsfile Beautify Jenkinsfile a little bit 2021-05-31 15:24:56 +03:00
LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
README.md [README.md] change latest release to 2021.4 2021-06-29 21:48:22 +03:00
SECURITY.md Added SECURITY.md back (#3177) 2020-11-17 16:44:44 +03:00

OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch)

This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.

This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as Caffe*, TensorFlow*, MXNet* and ONNX*.

Repository components:

License

Deep Learning Deployment Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

Resources:

Support

Please report questions, issues and suggestions using:


* Other names and brands may be claimed as the property of others.