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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Image-to-Image Translation in PyTorch
StyleGAN - Official TensorFlow Implementation
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Style transfer, deep learning, feature transform
StyleGAN2 - Official TensorFlow Implementation
Object detection, 3D detection, and pose estimation using center point detection:
Synthesizing and manipulating 2048x1024 images with conditional GANs
OpenMMLab's next-generation platform for general 3D object detection.
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
An easy to use PyTorch to TensorRT converter
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
DeepLab v3+ model in PyTorch. Support different backbones.
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
Unofficial implemention of lanenet model for real time lane detection
Simultaneous object detection and tracking using center points.
Dual Attention Network for Scene Segmentation (CVPR2019)
Nvidia Semantic Segmentation monorepo
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks