mpp
onnxruntime
mpp | onnxruntime | |
---|---|---|
3 | 54 | |
411 | 12,736 | |
5.4% | 2.7% | |
9.5 | 10.0 | |
9 days ago | 5 days ago | |
C | C++ | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mpp
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Using Rockchip's HW acceleration?
I cloned and built it (after building its dependencies: librga from https://github.com/JeffyCN/rockchip_mirrors/tree/linux-rga ; mpp from https://github.com/rockchip-linux/mpp)
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An alternative to FFmpeg?
There's also video4linux2 hardware decode APIs and various vendor-specific libraries, e.g. Rockchip's. On many particular platforms, doing hardware decoding without ffmpeg seems pretty approachable. Even making a nice combo library that supports a variety of them seems feasible. And obviously when the hardware's available (exists, the right kernel drivers are loaded, the C library's around if necessary, the permissions are right, it's not busy, etc.) hardware seems preferable. But it'd be nice to also support a fallback to software and then we're back to ffmpeg.
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RockPro64 RK3399 OpenMax IL
I know Rockchip have their non-standard "MPP" framework for making use of their hardware encoders and decoders at https://github.com/rockchip-linux/mpp which is an option if you're OK with sticking on the 4.4 BSP kernel.
onnxruntime
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Machine Learning with PHP
ONNX Runtime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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AI Inference now available in Supabase Edge Functions
Embedding generation uses the ONNX runtime under the hood. This is a cross-platform inferencing library that supports multiple execution providers from CPU to specialized GPUs.
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Deep Learning in JavaScript
tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browsdr.
- FLaNK Stack 05 Feb 2024
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Vcc – The Vulkan Clang Compiler
- slang[2] has the potential, but the meta programming part is not as strong as C++, existing libraries cannot be used.
The above conclusion is drawn from my work https://github.com/microsoft/onnxruntime/tree/dev/opencl, purely nightmare to work with thoes drivers and jit compilers. Hopefully Vcc can take compute shader more seriously.
[1]: https://www.circle-lang.org/
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Oracle-samples/sd4j: Stable Diffusion pipeline in Java using ONNX Runtime
I did. It depends what you want, for an overview of how ONNX Runtime works then Microsoft have a bunch of things on https://onnxruntime.ai, but the Java content is a bit lacking on there as I've not had time to write much. Eventually I'll probably write something similar to the C# SD tutorial they have on there but for the Java API.
For writing ONNX models from Java we added an ONNX export system to Tribuo in 2022 which can be used by anything on the JVM to export ONNX models in an easier way than writing a protobuf directly. Tribuo doesn't have full coverage of the ONNX spec, but we're happy to accept PRs to expand it, otherwise it'll fill out as we need it.
- Mamba-Chat: A Chat LLM based on State Space Models
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VectorDB: Vector Database Built by Kagi Search
What about models besides GPT? Most of the popular vector encoding models aren't using this architecture.
If you really didn't want PyTorch/Transformers, you could consider exporting your models to ONNX (https://github.com/microsoft/onnxruntime).
- ONNX runtime: Cross-platform accelerated machine learning
- Onnx Runtime: “Cross-Platform Accelerated Machine Learning”
What are some alternatives?
hardware-rockchip-omx_il - hardware/rockchip/omx_il
onnx - Open standard for machine learning interoperability
vkQuake - Vulkan Quake port based on QuakeSpasm
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
kawaii-player - Multimedia player, media library manager and portable media server with PC-To-PC casting feature.
onnx-simplifier - Simplify your onnx model
Entertainment Library Synchronizer - Corionis Entertainment Library Synchronizer data management and back-up tool
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
ffmpeg-rk - 支持rockchip mpp硬件加速编解码的ffmpeg版本。Forked ffmpeg that supports rkmpp decodeing, encoding and rga scaling
onnx-tensorflow - Tensorflow Backend for ONNX
vkQuake2 - id Software's Quake 2 v3.21 with mission packs and Vulkan support (Windows, Linux, macOS, FreeBSD, Raspberry Pi 4)
MLflow - Open source platform for the machine learning lifecycle