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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

anchor3dlane_liyj

Official PyTorch implementation for paper`Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection' accepted by CVPR 2023

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bevdepth

Official code for BEVDepth.

bevformer-liyj

[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.

bevformer_tensorrt_liyj

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

bfjdet

bulk-bing-image-downloader

Download full sized images returned from bing image search

captainblackboard

船长关于机器学习、计算机视觉和工程技术的总结和分享

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cl_bev_lane_det

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

comparison

Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)

convnext

Code release for ConvNeXt model

cornernet

crestereo

Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

crestereo-pytorch

Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).

dair-v2x-liyj

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

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[email protected] 版权所有，违权必究 Tan 2018.06

deepsort

MOT using deepsort yolo3 with C++

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

detr

End-to-End Object Detection with Transformers

diffusiondet

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

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

fairmot

A simple baseline for one-shot multi-object tracking