Pinned Repositories
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DIoU-darknet
Distance-IoU Loss into YOLO v3
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
SMOKE
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
ultralytics-YOLOv3-Cluster-NMS
Cluster-NMS into YOLOv3 Pytorch
visualDet3D
Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
yolov5_tensorrt
This is the implementation that supports yolov5s, yolov5m, yolov5l, yolov5x.
AIpakchoi's Repositories
AIpakchoi/yolov5_tensorrt
This is the implementation that supports yolov5s, yolov5m, yolov5l, yolov5x.
AIpakchoi/ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
AIpakchoi/visualDet3D
Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving
AIpakchoi/3D-Detection-Tracking-Viewer
3D detection and tracking viewer for kitti & waymo dataset
AIpakchoi/Alpha-IoU
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
AIpakchoi/AutoShape
ICCV2021 Paper: AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
AIpakchoi/bevdet-tensorrt-cpp
BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin
AIpakchoi/Complex-YOLOv4-Pytorch
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
AIpakchoi/detr
End-to-End Object Detection with Transformers
AIpakchoi/HVDetFusion
This repository is an official implementation of HVDetFusion
AIpakchoi/M3DSSD
M3DSSD: Monocular 3D Single Stage Object Detector
AIpakchoi/monodle
Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021
AIpakchoi/MonoFlex
Released code for Objects are Different: Flexible Monocular 3D Object Detection, CVPR21
AIpakchoi/PETR
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection
AIpakchoi/PointPillars_MultiHead_40FPS
A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.
AIpakchoi/pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
AIpakchoi/SFA3D
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
AIpakchoi/StreamPETR
[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
AIpakchoi/TED
Transformation-Equivariant 3D Object Detection for Autonomous Driving
AIpakchoi/tensorrt_inference
AIpakchoi/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
AIpakchoi/vehicle_pseudo3D_detection
AIpakchoi/yoloair
🔥🔥🔥YOLOAir：Including YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR and other networks... Support to improve backbone, head, loss, IoU, NMS...The original version was created based on YOLOv5
AIpakchoi/yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
AIpakchoi/YOLOS
You Only Look at One Sequence (https://arxiv.org/abs/2106.00666)
AIpakchoi/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
AIpakchoi/Yolov5_DeepSort_Pytorch
Real-time multi-person tracker using YOLO v5 and deep sort
AIpakchoi/yolov5_tensorrt-1
yolov5部署
AIpakchoi/yolox-pytorch
a Pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in 2021"
AIpakchoi/YoloZ