zhoufanking's repositories
yolov5
ultralytics YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
anything-llm
Open-source ChatGPT equivalent experience for both open and close source LLMs, embedders, and vector databases. Supports unlimited documents, threads, and concurrent users and management all in a very clean UI.
awesome-english-ebooks
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
Awesome-VisDrone
Paper Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark.
cv-detect-robot
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
DroneVehicle
无人机双光检测车辆Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Embedded-Machine-Vision-and-Intelligent-Automation
An introductory course on machine vision and related machine learning used in automation, autopilots, security and inspection systems. Topics covered include theory of computer and machine vision and related algorithms for image capture and processing, filtering, thresholds, edge detection, shape analysis, shape detection, salient object detection, pattern matching, digital image stabilization, stereo ranging, and methods of sensor and information fusion. Machine vision sensors covered include visible to long-wave infrared including passive EO/IR (Electro-Optical/Infrared) as well as active methods such as RGB depth mapping and LIDAR. Embedded and automation topics covered include implementation of these algorithms with FPGA or GP-GPU embedded real-time vision systems for autopilots (intelligent transportation), general machine vision automation and security including methods for detection, classification, recognition of targets, and applications including inspection, surveillance, search and rescue, and machine vision navigation.
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Military_Vehicles_Tracking
Multiple Object Tracking for Military Vehicles.
numpy-ml
Machine learning, in numpy
OFDM-simulation-Python
OFDM 详细仿真过程Python实现
OSFormer
伪装目标识别 Official Implementation of ECCV2022 paper "OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers"
RGB-T-fusion-tracking-papers-and-results
The papers and results about RGB-T fusion tracking
sahi
Platform agnostic sliced/tiled inference + interactive ui + error analysis plots
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
StrongSORT
StrongSORT: Make DeepSORT Great Again
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
TPH_Yolov5_deepsort
小目标跟踪的实现
VIFB
Visible and Infrared Image Fusion Benchmark
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
yolov5_Deepsort_rknn
Track vehicles and persons on rk3588 / rk3399pro.
yolov5_monocular_camera_ranging
单目视觉测距This repository is a project of monocular camera ranging, which object detection frame is yolov5.
yolov8_tracking
Real-time multi-object tracking and segmentation using YOLOv8
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/