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hugy1989's Projects

awesome-go-cn icon awesome-go-cn

Go 资源大全中文版, 内容包括:Web框架、模板引擎、表单、身份认证、数据库、ORM框架、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析、教程和(电子)书等。由「开源前哨」和「Go开发大全」微信团队维护。

decord icon decord

An efficient video loader for deep learning with smart shuffling that's super easy to digest

deep3dfacereconstruction icon deep3dfacereconstruction

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

easyocr icon easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

instant-ngp icon instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

minimal-hand icon minimal-hand

A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.

openvino_notebooks icon openvino_notebooks

📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓

paddleocr icon paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

polyaxon icon polyaxon

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

python_backend icon python_backend

Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.

sharerender icon sharerender

ShareRender is a cloud gaming system that enables fine-grained resource sharing at the frame-level. Existing cloud gaming systems suffer from low GPU utilization in the virtualized environment. Moreover, GPU resources are scheduled in units of virtual machines (VMs) and this kind of coarse-grained scheduling at the VM-level fails to fully exploit GPU processing capacity. ShareRender offloads graphics workloads within VMs directly to GPUs, bypassing GPU virtualization. For each game running in a VM, ShareRender starts a graphics wrapper to intercept frame rendering requests and assign them to render agents responsible for frame rendering on GPUs. Thanks to the flexible workload assignment among multiple render agents, ShareRender enables fine-grained resource sharing at the frame-level to significantly improve GPU utilization. If you want to know more about ShareRender, please refer to our paper in Multimedia 2017. Wei Zhang, Xiaofei Liao, Peng Li, Hai Jin, Li Lin, "ShareRender: Bypassing GPU Virtualization to Enable Fine-grained Resource Sharing for Cloud Gaming". In Proceedings of ACM International Conference on Multimedia (MM'17), Mountain View, CA, 2017.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

ultralight-simplepose icon ultralight-simplepose

Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,

waifu2x-extension-gui icon waifu2x-extension-gui

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

yolo-fastest icon yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

yolov5_ncnn icon yolov5_ncnn

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。

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