SophieZhou

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

apollo

An open autonomous driving platform

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

detr3d

DiffusionDet

PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

eachday

EPro-PnP

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

few_shot_gaze

Pytorch implementation and demo of FAZE: Few-Shot Adaptive Gaze Estimation (ICCV 2019, oral)

hatecode

data structure and algorithms in python

leetcode

LeetCode Problems' Solutions

ml_code

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

opencv

Open Source Computer Vision Library

PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection

practices

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qd-3dt

Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022

Relation-Networks-for-Object-Detection

Relation Networks for Object Detection

SMOKE

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

StreamPETR

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

SurroundOcc

[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Swin-Transformer-Object-Detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov7

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥