Pinned Repositories
3399pro_rtsp
mpp+h264+rga+live555++opencv+rtsp
3DMPPE_POSENET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
anomaly-detection-using-autoencoders
This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders
awesome-yolo-object-detection
🔥🔥🔥 A collection of some awesome YOLO object detection series projects.
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
multi-object-tracker
Multiple objects tracker using openCV and dlib
ncnn_yolov8
This project implements yolov8 ncnn deploy.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Pytorch2TensorRT
CUDA10.0, CUDNN7.5.0, TensorRT7.0.0.11
YOLOX
YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.
jia0511's Repositories
jia0511/ncnn_yolov8
This project implements yolov8 ncnn deploy.
jia0511/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
jia0511/CosPlace
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
jia0511/DAMO-YOLO
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
jia0511/DeepStream-Yolo
NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
jia0511/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
jia0511/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
jia0511/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
jia0511/ncnn-android-yolov8
Real time yolov8 Android demo by ncnn
jia0511/Next-ViT
jia0511/one-yolov5
A more efficient yolov5 with oneflow backend 🎉🎉🎉
jia0511/opencv_ffmpeg_streaming
rtmp streaming from opencv with ffmpeg / avcodec using C++ or Python
jia0511/openvino
OpenVINO™ Toolkit repository
jia0511/PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
jia0511/segmentation_visualization_coco_format
jia0511/Stereo-Detection
Conventional SGBM depth ranging + yolov5 object detection with deployment on Jeston nano
jia0511/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
jia0511/tfjs-models
Pretrained models for TensorFlow.js
jia0511/v2rayA
A web GUI client of Project V which supports V2Ray, Xray, SS, SSR, Trojan and Pingtunnel 🚀
jia0511/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
jia0511/yolo-bubbliiiing-onnx
为bubbliiiing的yolo系列代码进行onnx部署（C++）,目前已完美适配yolov4>>yolov5>>yolov5-6.1>>yolov7
jia0511/YOLO2COCO
A set of tools for converting a yolov5 format dataset to COCO format working with yolov5, yolox and yolov6.
jia0511/yoloair2
☁️💡🎈YOLOAir2 is the second version of the YOLOAir series, The framework is based on YOLOv7, including YOLOv7, YOLOv6, YOLOv5, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention and Improved-YOLOv7... Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules
jia0511/yolov5_62_export_ncnn
jia0511/YoloV6-ncnn-Raspberry-Pi-4
YoloV6 for a bare Raspberry Pi using ncnn.
jia0511/YoloV7-ncnn-Raspberry-Pi-4
YoloV7 for a bare Raspberry Pi using ncnn.
jia0511/yolov7-opencv-onnxrun-cpp-py
分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测，一共包含14个onnx模型，依然是包含C++和Python两个版本的程序
jia0511/YOLOv8
:fire: Official YOLOv8模型训练和部署
jia0511/Yolov8-ncnn
convert yolov8 to ncnn
jia0511/YoloV8-ncnn-Raspberry-Pi-4
YoloV8 for a bare Raspberry Pi 4