1.5.0 -> 1.5.1
- Filter subplugin APIs updated. Both V0 (minor changes to the conventional) and V1 (refactored API set) are supported.
- Fixed major issue: now, each instance of a filter subplugin may have different property values.
- - Tizen 6.0 API ACR preparations
+ - Tizen 6.0 API ACR preparations.
- Allow to build Single-API-only Android build for minimal ML-API usage.
- Compatibility fix for GStreamer 1.16; Gst 1.16 has additional audit that blacklists behaviors of older NNStreamer.
- - Met Linux Foundation / AI requirements (policy files)
+ - Met Linux Foundation / AI requirements. (policy files)
- Compatibility fix for LLVM/Clang and macOS.
- - Verisilicon-Vivante: Vivante is supported with private proprietary plugin. There was a minor infrastructural updates to assist it. We will work on opening this code; we may need assistance from Verisilicon (they need to open source a few headers for general public to build Vivante-subplugin.)
+ - Verisilicon-Vivante: Vivante is supported with private proprietary plugin. There was a minor infrastructural updates to assist it. We will work on opening this code; we may need assistance from Verisilicon. (they need to open source a few headers for general public to build Vivante-subplugin.)
- TensorFlow-lite: recently added data types of Tensorflow-lite is supported.
- OpenVINO/Caffe2/Tensorflow/NNFW/NCSDK2/ARMNN/Python: refactored hardware acceleration options.
- 1.5.0 is a devel version for 1.6.0 release.
1.3.1 -> 1.4.0
- - Stable release with API changes
+ - Stable release with API changes.
- *Tensor-filter subplugin API has been updated.*
- - Stability fixes & added unit test cases
- - C-API updates
+ - Stability fixes & added unit test cases.
+ - C-API updates.
1.3.0 -> 1.3.1
- 1.3.1 is a devel version for 1.4.0 release.
- Unit test: higher visibility & behavior correctness fixes.
- Auto-generated test cases for tensor-filter sub-plugins (extensions).
- Android/Java support with more convinient methods.
- - Support gcc9
+ - Support gcc9.
- Support openVino as a tensor-filter, allowing to accelerate with Intel NCS/Myriad.
- Support NCSDK as a tensor-filter.
- Support ARMNN as a tensor-filter. (support TF-Lite and Caffe models)
- Support Androdi/SNAP as a tensor-filter.
- Support hardware accelerators & 8-bit quantization for NNFW-Runtime & stabilize NNFW-Runtime support with test cases.
- Support Edge-TPU and its runtime as a tensor-filter.
- - Filter subplugins refactored to have a single source file (.cc)
- - Support model reload
- - A lot of fixes for bugs found by Coverity, SVACE, and other static analysis tools
+ - Filter subplugins refactored to have a single source file. (.cc)
+ - Support model reload.
+ - A lot of fixes for bugs found by Coverity, SVACE, and other static analysis tools.
1.2.0 -> 1.3.0:
- 1.3.0 is a devel version for 1.4.0 release.
- From 1.2.0, 1.even.x is a release and 1.odd.x is a devel version.
- - When 1.3.x is "done", it will release 1.4.0 and move on to 1.5.0
+ - When 1.3.x is "done", it will be release as 1.4.0 and move on to 1.5.0.
1.0.0 -> 1.2.0:
- - Tizen Sensor Framework Integration (tensor_src_tizensensor)
- - Single C-API latency shortened by bypassing GST pipeline constructions
+ - Tizen Sensor Framework Integration. (tensor_src_tizensensor)
+ - Single C-API latency shortened by bypassing GST pipeline constructions.
- NNFW-Runtime Integration (tensor_filter::nnfw)
- NNFW: https://git.tizen.org/cgit/platform/core/ml/nnfw/
- Integrated & tested along with ARMCL.
- - C++ classes are suggested (WIP)
- - Converter accepts external subplugins (tensor_converter::*)
+ - C++ classes are suggested. (WIP)
+ - Converter accepts external subplugins. (tensor_converter::*)
- Custom-Easy mode (tensor_filter::custom_easy) for future "lambda func" support.
- - Tizen ncsdk2 support
+ - Support Tizen ncsdk2.
- Types for path configurations are no more hardcoded.
- - Overall architecture improved/refactored (Lowered CC, DC, and so on)
+ - Overall architecture improved/refactored. (Lowered CC, DC, and so on)
- Fixes from 1.0.1 (Tizen 5.5 M2's stable/commercialization branch)
- Documentation updates and bugfixes.
- Android Java-API released via JCenter for Android Studio users.
- Passed Quality Assurance. (code quality, stability, security, compliance, and so on)
- Fixed a lot of minor bugs in the course.
- - Support macOS
+ - Support macOS.
- Fixed regressions related with ROS and Yocto support.
0.2.0 -> 0.3.0:
- Tizen Public C-API Single/Pipeline RC1 Fixed for 5.5 M2
- - Tizen Public C-API RC2 features included (pipeline whitelist, aliasing)
+ - Tizen Public C-API RC2 features included. (pipeline whitelist, aliasing)
- Tizen Public C#-API Single/Pipeline RC1.
- Android Java-API and build infrastructure. Ready for JCenter release.
- - Tensorflow-lite / NNAPI tested & fixed
- - Tensorflow 1.13 compatibility fix (1.09 kept supported)
- - Caffe2/PyTorch support
- - Movidius support
- - This is effectively 1.0-RC1
+ - Tensorflow-lite / NNAPI tested & fixed.
+ - Tensorflow 1.13 compatibility fix. (1.09 kept supported)
+ - Caffe2/PyTorch support.
+ - Movidius support.
+ - This is effectively 1.0-RC1.
0.1.2 -> 0.2.0:
- - A lot of security issues and bugs fixed (for Tizen 5.5 M1 release)
- - Tizen Public C-API Pipeline for 5.5 M1
- - Tizen Public C-API SingleShot Prototype
- - Yocto/Openembedded layer released
- - ROS sink/src
- - IIO support
- - Android source draft
- - Python custom filter
- - Android sample application released
- - Tensorflow-lite / NNAPI support
+ - A lot of security issues and bugs fixed. (for Tizen 5.5 M1 release)
+ - Tizen Public C-API Pipeline for 5.5 M1.
+ - Tizen Public C-API SingleShot Prototype.
+ - Yocto/Openembedded layer released.
+ - ROS sink/src.
+ - IIO support.
+ - Android source draft.
+ - Python custom filter.
+ - Android sample application released.
+ - Tensorflow-lite / NNAPI support.
0.1.1 -> 0.1.2:
- - Tizen Public C-API Draft Prototype
+ - Tizen Public C-API Draft Prototype.
- Yocto/Openembedded Layer Tested.
- ROS sink/src supported and partially tested.
- - IIO support draft
- - Custom filter codegen
+ - IIO support draft.
+ - Custom filter codegen.
- Capability to cut the dependencies on audio/video plugins for minimal memory footprint.
- More clear error messages when the pipeline cannot be initiated.
- Increased unit test coverages with additional unit test cases.
- A series of bug fixes.
0.1.0 -> 0.1.1:
- - Full "Plug & Play" capability of subplugins (tensor_filter, tensor_filter::custom, tensor_decoder)
- - Fully configurable subplugin locations
- - Capability to build subplungins wihtout the dependencies on nnstreamer sources
+ - Full "Plug & Play" capability of subplugins. (tensor_filter, tensor_filter::custom, tensor_decoder)
+ - Fully configurable subplugin locations.
+ - Capability to build subplungins wihtout the dependencies on nnstreamer sources.
- Revert Tensorflow input-memcpy-less-ness for multi-tensor support. (Will support memcpy-less-ness later)
- - Support "String" type of tensors
- - API sets updated (still not "stable")
+ - Support "String" type of tensors.
+ - API sets updated. (still not "stable")
- Code location refactored.
- - Yocto/Openembedded Layer Registered (not tested): "meta-neural-network"
+ - Yocto/Openembedded Layer Registered (not tested): "meta-neural-network".
- No more additional shared libraries.
- - Better error handling and messages for a few plugins
- - Android support (N / arm64)
+ - Better error handling and messages for a few plugins.
+ - Android support. (N / arm64)
0.0.3 -> 0.1.0:
- - Build system migration cmake --> meson
- - Support Tensorflow without input/output tensor memcpy
+ - Build system migration cmake --> meson.
+ - Support Tensorflow without input/output tensor memcpy.
- other/tensor stream format updated
- From 0.1.0, a single property, "dimension", describes the whole dimension instead of "dim1", "dim2", ...
- Objective 1: in the future, we may support tensors with more than 4 dimensions without updating the protocol.
- Objective 2: it was just too ugly.
- Example applications migrated to other git repo to make this repo ready for upstreaming in the future and to ensure buildability for third party developers.
- - Support run-time attaching subplugins (filter and decoder)
- - Support "ini" and envvar configurations for subplugin locations
- - Dynamic external recurrences
- - Subplugin API sets (draft. do not expect backward compatibility)
- - Bug fixes (memory leaks, incorrect logs, type checks, ...)
+ - Support run-time attaching subplugins. (filter and decoder)
+ - Support "ini" and envvar configurations for subplugin locations.
+ - Dynamic external recurrences.
+ - Added Subplugin API sets. (draft. do not expect backward compatibility)
+ - Several bug fixes including memory leaks, incorrect logs, type checks and others.
0.0.2 -> 0.0.3:
- Support external recurrencies with tensor_repo (more test cases are to be released later)
- Support bounding-box decoding (tensor_decoder)
- Support subplugins for tensor_decoder
- Internal APIs for dynamic configurations and subplugins. tensor_filter and tensor_decoder will be updated to use such configurations in the later releases.
- - Tensorflow support is in-progress, it's postponed to later releases. (Still, tensorflow-lite is the only framework officially supported)
+ - Tensorflow support is in-progress, although it's postponed to later releases. (Still, tensorflow-lite is the only framework officially supported)
- Pipeviz support. (tensor_converter/filter/decoder)
- - Tested with MTCNN (each "part" is separated as an instance of tensor_filter).
+ - Tested with MTCNN. (each "part" is separated as an instance of tensor_filter)
- Meson build introduced.
- - Released via build.tizen.org (Tizen Devel. x64/x86/arm32/arm64) and launchpad.net (Ubuntu/PPA. x64/x86/arm32/arm64)
- - Static build for Android (Not tested. No example. An example Android application is to be released later)
- - Timestamp handling / Synchronization support
- - AWS App Testing Enabled (testing nnstreamer application with virtual camera devices in AWS)
- - arm64 support added
+ - Released via build.tizen.org. (Tizen Devel. x64/x86/arm32/arm64) and launchpad.net (Ubuntu/PPA. x64/x86/arm32/arm64)
+ - Static build for Android. (Not tested. No example. An example Android application is to be released later)
+ - Timestamp handling / Synchronization support.
+ - AWS App Testing Enabled. (testing nnstreamer application with virtual camera devices in AWS)
+ - arm64 support added.
0.0.1 -> 0.0.2:
- Support multi-tensors (other/tensors) along with mux, demux.
- - Support audio, test, binary-octet streams (tensor converter)
- - Support image-classification decoding (tensor_decoder)
+ - Support audio, test, binary-octet streams. (tensor converter)
+ - Support image-classification decoding. (tensor_decoder)
- Support merge.
- - More subfeatures for transform
- - Support frame-merging by time (tensor_aggregator)
+ - More subfeatures for transform.
+ - Support frame-merging by time. (tensor_aggregator)
- More test cases w/ TAOS_CI integration.
- Applied to and tested w/ real products.
projects / platform / upstream / nnstreamer.git / commitdiff