Neural Network Compression Framework for enhanced OpenVINO™ inference
-
Updated
Jun 12, 2024 - Python
Neural Network Compression Framework for enhanced OpenVINO™ inference
基于TensorRT的C++高性能推理库,Yolov10, YoloPv2,Yolov5/7/X/8,RT-DETR,单目标跟踪OSTrack、LightTrack。
Implementation of image fusion, distance estimation, and object detection algorithms for Saferail in Pakistan.
Scalable Facial Recognition Server Platform
Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
autoupdate paper list
Artificial Intelligence / Machine Learning in processing of panoramic images - research, try-outs, failures and achievements from the perspective of a PhD student!
Driver Drowsiness Detection with YOLOv8 and Facial Features Combat driver fatigue with this deep learning-powered system that utilizes YOLOv8 to detect open and closed eyes, accurately assessing drowsiness levels.
NVR with realtime local object detection for IP cameras
Python Computer Vision & Video Analytics Framework With Batteries Included
A web-based implementation of the Media Pipe object detection model for 3D pose estimation . This setup allows real-time 3D object detection directly in the browser without the need for additional software installations.
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
This repository contains tasks focusing on prompt engineering for vision models. Each task explores different aspects of image segmentation, object detection, and image generation using advanced machine learning models. Below are detailed descriptions of the tasks and their respective notebooks.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
a cash register revolution application that uses machine learning to detect retail product objects.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Fast and Accurate ML in 3 Lines of Code
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Add a description, image, and links to the object-detection topic page so that developers can more easily learn about it.
To associate your repository with the object-detection topic, visit your repo's landing page and select "manage topics."