v-analytics's repositories
mmdeploy
OpenMMLab Model Deployment Framework
Adlik
Adlik: Toolkit for Accelerating Deep Learning Inference
PINTO_model_zoo
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
InferenceHelper
C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow
nebullvm
Easy-to-use library to boost AI inference leveraging multiple DL compilers
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
ultimateALPR-SDK
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and FPGAs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).
motioneyeos
A Video Surveillance OS For Single-board Computers
Smart-City-Sample
The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.
open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
open-intelligence
Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end.
agent
An Open Source video surveillance management system for people making this world a safer place.
DeepCamera
AI Face Recognition/Person Detection NVR. Machine Learning On The Edge, turn your Camera into AI-powered with Jetson Nano and telegram to protect your privacy.
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
CVND_Exercises
Exercise notebooks for CVND.
object-tracking-line-crossing-area-intrusion
Deep learning based object tracking with line crossing and area intrusion detection
sod
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
OpenVINO-YOLOV4
This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scaled-YOLOv4 and INT8 Quantization in OpenVINO2021.3
awesome-computer-vision-models
A list of popular deep learning models related to classification, segmentation and detection problems
AcurusTrack
A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.
yolov5_cpp_openvino
用c++实现了yolov5使用openvino的部署
CV-pretrained-model
A collection of computer vision pre-trained models.
Face-Mask-Detector-for-Jetson-Nano
Because of the COVID-19 pandemic of 2020, more and more people are concerned with protecting themselves using masks, thus the need of software capable of monitoring whether the people are wearing masks or not. That is why I created a Python application using OpenCV (with CUDA support) based on the YOLOv4 algorithm, more precisely the tiny option, capable of monitoring the safety level of a space with video surveillance. This is the Jetson Nano version of the application.
SPHAR-Dataset
Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.