mmhuman3d
openvino
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| mmhuman3d | openvino | |
|---|---|---|
| 5 | 17 | |
| 1,120 | 5,864 | |
| 3.4% | 5.8% | |
| 3.3 | 10.0 | |
| about 2 months ago | 7 days ago | |
| Python | C++ | |
| Apache License 2.0 | Apache License 2.0 |
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.
mmhuman3d
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMHuman3D: OpenMMLab 3D human parametric model toolbox and benchmark.
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What software can convert camera footage to a skeleton animation?
You might want to check out https://github.com/open-mmlab/mmhuman3d and https://github.com/google/mediapipe
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MMHuman3D
We have released an @OpenMMLab human pose and shape estimation toolbox "MMHuman3D":
https://github.com/open-mmlab/mmhuman3d
- Popular methods with a modular framework
openvino
- FLaNK Stack 05 Feb 2024
- QUIK is a method for quantizing LLM post-training weights to 4 bit precision
- Intel OpenVINO 2023.1.0 released
- Intel OpenVINO 2023.1.0 released, open-source toolkit for optimizing and deploying AI inference
- OpenVINO 2023.1.0 released
- [N] Intel OpenVINO 2023.1.0 released, open-source toolkit for optimizing and deploying AI inference
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Powering Anomaly Detection for Industry 4.0
Anomalib is an open-source deep learning library developed by Intel that makes it easy to benchmark different anomaly detection algorithms on both public and custom datasets, all by simply modifying a config file. As the largest public collection of anomaly detection algorithms and datasets, it has a strong focus on image-based anomaly detection. It’s a comprehensive, end-to-end solution that includes cutting-edge algorithms, relevant evaluation methods, prediction visualizations, hyperparameter optimization, and inference deployment code with Intel’s OpenVINO Toolkit.
What are some alternatives?
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
mmflow - OpenMMLab optical flow toolbox and benchmark
mim - MIM Installs OpenMMLab Packages
stable-diffusion - Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it.
mmcv - OpenMMLab Computer Vision Foundation
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
nebuly - The user analytics platform for LLMs