* Removed 'inline' Preprocessing API
Even though this API provided a way to specify all pre/post-processing in one line - it was considered inconvinient
With 'getters' API preprocessing code looks more clear for user, so old' inline' API is removed
* Fix pyopenvino build issues
* Update after merged PR#8717
* Increase image size to avoid test failures on some platforms
There is an assert 'length >= nlanes' and 'nlanes' value depends on machine architecture
Set 320x320 test image to guarantee that image size >= nlanes
Also increased image size for 'plugin shared tests' to ensure the same (even though tests do not work with legacy preprocessing)
* Descreased to 160x160
- PrePostProcessor takes 'function' argument in constructor
- PrePostProcessor::build() doesn't take any function anymore
- PrePostProcessor::input() method to get reference to input
- PrePostProcessor::output() method to get reference to output
- InputInfo - add getters of tensor, preprocess, network
- OutputInfo - add getters of tensor, preprocess, network
Samples:
ClassificationSampleAsync - use new getters
Inference engine:
- Use new getters in ie_network_reader.cpp
TODO: Consider removal of builder-like API in PrePostProcessor, InputInfo, OutputInfo
* Interpolate reference implementation:
- Support u8 and other numeric types
- For integral types - round result to nearest integer (don't cast)
Preprocessing: enable OpenCV tests and add resize conformance tests with OpenCV
* Revert changes in interpolate.cpp, making them minimal needed (added u8 resize)
* Preprocessing: convert_layout<std::vector<uint64_t>> implementation
User is able to use this version without specifying layout explicitly
Same version of convert_layout is added for post-processing
Added usage of new convert_layout to ie_network_reader
* Fix review comment
* NV12 Ref impl: Align with Legacy NV12 conversion
Little-endian tricks are completely not needed finally
Basic tests of OV20 preprocessing vs Legacy preprocessing:
- Mean/Scale
- Resize (Linear vs Bilinear)
- NV12 color conversion
* Register Template plugin in legacy core before CNNNetwork compliance test
NV12: round to nearest integer for 'u8' mode
Fix preprocess-reference NV12 tests (swap U & V)
* Decreased default threshold and use random distribution for inputs generation
* Added tests RefImpl vs OpenCV - NV12 color conversion
Added CPU accuracy tests + nightly (including all RGB color combinations)
* Fix build issue after rebase
* Remove test code
* Fix comments
Disable OpenCV tests on CI (some machines can't load opencv_imgproc during test)
* Pre-process:
- Implicit conversions for element type and layout
- 'convert_element_type' with default argument to network
- Convert_element_type - don't add ops if dst and src types are same
- Convert_layout - don't add ops if dst and src layouts are same
- Custom step - use Output<Node> instead of shared_ptr<Node>
- Support of addressing input by tensor name
Post-process:
- Avoid duplication of tensor names after post-processing
* Fixed IE tests
* PrePostProcessor.output() - first implementation of post-processing
Supported convert_layout, convert_element_type and custom operations
* Fix review comments
* Added test for pre and post processing together
Fix clang-format
* Move 'validate_and_infer_types' before post-processing
* # Conflicts:
# docs/template_plugin/tests/functional/op_reference/convert_color_nv12.cpp
# inference-engine/tests/functional/plugin/cpu/shared_tests_instances/single_layer_tests/convert_color_nv12.cpp
# inference-engine/tests/functional/shared_test_classes/include/shared_test_classes/single_layer/convert_color_nv12.hpp
# inference-engine/tests/functional/shared_test_classes/src/single_layer/convert_color_nv12.cpp
# ngraph/core/include/openvino/core/preprocess/input_tensor_info.hpp
# ngraph/core/include/openvino/core/preprocess/preprocess_steps.hpp
# ngraph/core/include/openvino/op/nv12_to_bgr.hpp
# ngraph/core/include/openvino/op/nv12_to_rgb.hpp
# ngraph/core/src/op/nv12_to_bgr.cpp
# ngraph/core/src/op/nv12_to_rgb.cpp
# ngraph/core/src/preprocess/pre_post_process.cpp
# ngraph/core/src/preprocess/preprocess_steps_impl.hpp
# ngraph/test/CMakeLists.txt
* Added more test to cover 100% of code
Allow convert element type for 'multi-plane' color format
* Inherit tensor names for 'convert_color'
* Clang
* Fix tests
* Disable 'int8' preprocessing resize test
* Fix review comments
* Add more restrictions and tests for planes sub-names
* 1) Added check for uniqueness of tensor names generated for nodes
Raise error if user's plane sub-name conflicts with some node in a function
2) Added exception safety to preprocess build. Before, when input #2 fail, only one preprocess will be applied to function and it will be corrupted
Exception guard will restore function to original state if exception occurs
* Fix clang-format
Introduced 'absolute threshold' for LayerTests and BaseReferenceTests to consistently catch absolute differences
Previously, when set 'threshold=1.f' it was treated as 'allowed difference is 100%", so there was no way to allow absolute difference as 1.f
* Initial version
* Added 'network' layout to preprocessing info
Moved existing resize tests to template plugin
* Fix clang
* More tests for 'resize' reference implementation + CPU tests + error cases
Coverage is 100%
* Align with new base_reference_test implementation
* Fixed comments
* Add assert to check that desired size is not out of bounds
* CPU: skip failed test
* Reference tests via OpenVINO 2.0
* Migrated to new API acos test
* Fixed other tests compilation
* Fixed tests
* Reference tests use ov::
* Fixed compilation
* Shared preprocessing tests for plugins.
Comparing inference with reference implementation
* Moved evaluate tests to template plugin
* Fixed clang-style
* CPU tests: Set IE precision manually in SetUp. Also allow rounding to integer mismatch
* Added acceptable threshold depending on particular test
Mikhail Nosov