Pinned Repositories
Complex-YOLOv3
PyTorch implementation of Complex-YOLO paper with YoloV3
Complex-YOLOv4-Pytorch
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
demo-spacy-text-processing
FairMOT
A simple baseline for one-shot multi-object tracking
kinematic3d
multiyolov5
joint detection and semantic segmentation, based on ultralytics/yolov5,
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
ODMD
Object Depth via Motion and Detection Dataset
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PaddleNLP
NLP Core Library and Model Zoo based on PaddlePaddle 2.0
jianling233's Repositories
jianling233/Complex-YOLOv4-Pytorch
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
jianling233/Complex-YOLOv3
PyTorch implementation of Complex-YOLO paper with YoloV3
jianling233/demo-spacy-text-processing
jianling233/FairMOT
A simple baseline for one-shot multi-object tracking
jianling233/kinematic3d
jianling233/multiyolov5
joint detection and semantic segmentation, based on ultralytics/yolov5,
jianling233/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
jianling233/ODMD
Object Depth via Motion and Detection Dataset
jianling233/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
jianling233/PaddleNLP
NLP Core Library and Model Zoo based on PaddlePaddle 2.0
jianling233/SDC-P5
Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking
jianling233/SFA3D
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
jianling233/test
test
jianling233/test_code
abc
jianling233/TraDeS
Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)
jianling233/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
jianling233/yolov5-dnn-cpp-python
用opencv的dnn模块做yolov5目标检测，包含C++和Python两个版本的程序
jianling233/yolox-opencv-dnn
使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序