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mali
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Privacy is the most important issue for the AI face recognition camera. Open source and BYOD is the only way to solve privacy issue. SharpAI DeepCamera provides private deployment architecture to save all your information on your own devices.
android
raspberry-pi
machine-learning
video
ai
deep-learning
rtsp
mxnet
tensorflow
mali
face-recognition
face-detection
video-surveillance
object-detection
automl
arm-gpu
tf-lite
npu
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Apr 23, 2021 - Python
A minimalistic gRPC microservice framework for Node.js
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Jul 26, 2021 - JavaScript
Optimizing Mobile Deep Learning on ARM GPU with TVM
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Oct 15, 2018 - C
BananaPi M2 Zero - Ubuntu Focal Base Minimal Image (Experimental) - U-Boot 2017.09 / Kernel 4.18.y / Kernel 4.19.y / Kernel 4.20.y / Kernel 5.3.y / Kernel 5.6.y / Kernel 5.7.y / Kernel 5.11.y
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Mar 28, 2021 - Shell
Prebuilt 4.13 kernels for RK3288 boards, including the Mali r19p0 drivers. Usable on MiQi, Tinkerboards, Firefly and other similar boards.
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Jul 22, 2018 - C
Opinionated AJV input validation support for Mali.js microservices
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Jul 30, 2021 - JavaScript
Kodi on NanoPi A64
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Nov 12, 2019
Gradle plugin for the Mali Texture Compression Tool
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Aug 11, 2017 - Groovy
This projects takes features included in https://github.com/rockchip-linux/kernel and makes them buildable out-of-tree, on mainline kernel
linux
kernel
module
modules
needs-work
driver
rockchip
mali
vpu
needs-testing
needs-documentation
out-of-tree
drivers
vcodec
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Jan 22, 2017 - C
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paddle-mobile将开发一个新的版本，为了：
因此，paddle-mobile将会进行一次完全的重构，从框架设计到代码开发。在新版本开发完成后，将会删除原有mobile-deep-learning的代码。新版本开发期间，代码将放置在paddle-mobile repo的一个子目录下。对于子目录的命名，目前有3个候选，希望大家投票：
有更好的建议，请回复issue。相关issue：#121
另外，待新版本代码开发完成，移除老版本mobile-deep-learning代码后，新版本代码将移出子目录，直接放置在paddle-mobile repo下面。