Start Development of NNStreamer 2.1.1 (2.2 RC2) @open sesame 4/14 19:28 #3722
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📝 TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #3722. Please a submit 1commit/1PR (one commit per one PR) policy to get comments quickly from reviewers. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://nnstreamer.mooo.com/. |
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cibot: 
myungjoo
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myungjoo
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a team,
jijoongmoon,
again4you,
jaeyun-jung,
leemgs,
wooksong,
helloahn,
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anyj0527,
lhs8928,
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jaeyun-jung
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Apr 26, 2022
jaeyun-jung
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Apr 26, 2022
This is the version marking for 2.1.1 development start.
As 2.1.0 is started on Sep 28 2021, the change is huge.
2.1.0 -> 2.1.1
- Tizen 7.0 M1 RCx preparation and NNStreamer Mini Summit 2022-04 release.
- NNStreamer-Edge refactoring (module for Among-Device AI (a.k.a. Edge-AI))
- Ongoing effort of nnstreamer-edge separation from nnstreamer.
- In the future, nnstreamer-edge will provide among-device AI functions and nnstreamer will provide gstreamer plugins for such functions. Non-gstreamer systems may connect to nnstreamer-edge based pipelines without gstreamer as clients.
- NNStreamer-Edge will be using AITT as its default backend, leaving protocol issues to AITT.
- In the future, nnstreamer-edge will be compatible with non-Linux ultra-lightweight systems (e.g., Tizen-RT)
- ML-Service API preparation is going on at api.git.
- Major features
- MQTT timestaamping w/ NTP. (later will be migrated to nnstreamer-edge & aitt)
- Query (later will be migrated to nnstreamer-edge & aitt): robustness support, mqtt-hybrid protocol, performance fixes for multi-clients.
- More coverage for SNPE support: quantized model support, SNPE dimension bug workaround, fixes from/for production team.
- Flexible tensor support w/ decoder, converter, flatbuffer.
- Minor features
- MQTT unittest basis, generic stream support, android support, timeout handling, ... (and many!)
- Utility functions exported for plugin writers.
- Tensorflow-lite delegation refactored for generality: may use XNNPACK more easily.
- Tensorflow-lite multi-lib support.
- PyTorch: support complex output tensor formats.
- NNStreamer multi-lib support.
- Decoder: boundingbox-yolov5
- Filter: TRIx-Engine support. (NPUs of Samsung 2022 TV)
- Docker support refactored and cleaned up.
- Fixes
- ARMNN build errors.
- Android errors
- Build errors with recent compiler updates. (gcc 11)
- Fixes upstreamed from productions
- Errors w/ library updates: Lua >= 5.3, GLib >= 2.68
- Regression fixes: openvino, edgetpu, tensorrt
- Memory leaks in C++ subplugin infra.
- Known issues: PPA/Launchpad build broken!
Signed-off-by: MyungJoo Ham <myungjoo.ham@samsung.com>
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This is the version marking for 2.1.1 development start.
As 2.1.0 is started on Sep 28 2021, the change is huge.
Reference: https://github.com/nnstreamer/nnstreamer/wiki/NNStreamer-Mini-Summit-%238#8
2.1.0 -> 2.1.1
Tizen 7.0 M1 RCx preparation and NNStreamer Mini Summit 2022-04 release.
NNStreamer-Edge refactoring (module for Among-Device AI (a.k.a. Edge-AI))
- Ongoing effort of nnstreamer-edge separation from nnstreamer.
- In the future, nnstreamer-edge will provide among-device AI functions and nnstreamer will provide gstreamer plugins for such functions. Non-gstreamer systems may connect to nnstreamer-edge based pipelines without gstreamer as clients.
- NNStreamer-Edge will be using AITT as its default backend, leaving protocol issues to AITT.
- In the future, nnstreamer-edge will be compatible with non-Linux ultra-lightweight systems (e.g., Tizen-RT)
ML-Service API preparation is going on at api.git.
Major features
- MQTT timestaamping w/ NTP. (later will be migrated to nnstreamer-edge & aitt)
- Query (later will be migrated to nnstreamer-edge & aitt): robustness support, mqtt-hybrid protocol, performance fixes for multi-clients.
- More coverage for SNPE support: quantized model support, SNPE dimension bug workaround, fixes from/for production team.
- Flexible tensor support w/ decoder, converter, flatbuffer.
Minor features
- MQTT unittest basis, generic stream support, android support, timeout handling, ... (and many!)
- Utility functions exported for plugin writers.
- Tensorflow-lite delegation refactored for generality: may use XNNPACK more easily.
- Tensorflow-lite multi-lib support.
- PyTorch: support complex output tensor formats.
- NNStreamer multi-lib support.
- Decoder: boundingbox-yolov5
- Filter: TRIx-Engine support. (NPUs of Samsung 2022 TV)
- Docker support refactored and cleaned up.
Fixes
- ARMNN build errors.
- Android errors
- Build errors with recent compiler updates. (gcc 11)
- Fixes upstreamed from productions
- Errors w/ library updates: Lua >= 5.3, GLib >= 2.68
- Regression fixes: openvino, edgetpu, tensorrt
- Memory leaks in C++ subplugin infra.
Known issues: PPA/Launchpad build broken!
Signed-off-by: MyungJoo Ham myungjoo.ham@samsung.com