Pinned Repositories
21LPCVC-UAV_VIdeo_Track-Sample-Solution
3D-MIMO-SAR_Imaging
acm
aa
Agora-Uniapp-SDK
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aquila
IPCamera, aim to support V4L2/UVC/RaspberryPi/Hisi/XXX SDK production
Architecture-for-real-time-video-streaming-analytics
Video processing (webcam) in real time using Kafka and Spark.
ARIL
Codes of paper: Joint Activity Recognition and Indoor Localization with WiFi Fingerprints
Simplified-2D-mmWave-Imaging-master
TransReID-SSL
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
yangyongjx's Repositories
yangyongjx/21LPCVC-UAV_VIdeo_Track-Sample-Solution
yangyongjx/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
yangyongjx/awesome-3D-object-detection
3D object detection
yangyongjx/cepton_sdk_redist
Cepton SDK redistribution channel
yangyongjx/CMSIS_5
CMSIS Version 5 Development Repository
yangyongjx/deploy-tflite-object-detection-model-on-raspberrypi-with-pyqt
yangyongjx/digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
yangyongjx/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
yangyongjx/edge-ai
A curated list of resources for embedded AI
yangyongjx/firmware-eta-compute-ecm3532
Edge Impulse firmware for the Eta Compute ECM3532 AI Sensor development board
yangyongjx/firmware-himax-we-i-plus
Ingestion & inferencing firmware for the HiMax WE 1 target
yangyongjx/fmcw-RADAR
[mmWave based fmcw radar design files] based on AWR1843 chip operating at 76-GHz to 81-GHz.
yangyongjx/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
yangyongjx/himax_tflm
yangyongjx/lpcvc
[LPIRC 2019, ICCV 2019] Winner Solution for 4th LPCVC
yangyongjx/machine-learning-systems-design
A booklet on machine learning systems design with exercises
yangyongjx/ML-zoo
yangyongjx/mobile-client
Mobile acquisition and inferencing client
yangyongjx/person-detection-with-esp32
Deploying Person Detection on ESP32 on ESP32 3.5" TFT Touch(Capacitive) board using TFLite. The dataset is from the Visual Wake Words Challenge 2019.
yangyongjx/Pytorch-PPYOLO
ppyolo in pytorch. 44.8% box mAP.
yangyongjx/radar-ml
Detect (classify and localize) people, pets and objects using millimeter-wave radar.
yangyongjx/stanford-cs329s.github.io
yangyongjx/tensorflow
An Open Source Machine Learning Framework for Everyone
yangyongjx/tinyml
yangyongjx/tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
yangyongjx/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。
yangyongjx/torch-kalman
An implementation of kalman-filters for multivariate time-series in PyTorch
yangyongjx/uniapp-APP-m3u8
H5+，uniapp，video，m3u8，下载，播放，
yangyongjx/Video-Stream-Analytics-Using-OpenCV-Kafka-and-Spark-Technologies
yangyongjx/walk-in-detection