We write your reusable computer vision tools. 💜
-
Updated
Dec 17, 2024 - Python
We write your reusable computer vision tools. 💜
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Tensorflow Faster RCNN for Object Detection
Mask RCNN in TensorFlow
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
To speedup and simplify image labeling/ annotation process with multiple supported formats.
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
Helper functions to create COCO datasets
Visual Question Answering in Pytorch
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
Add a description, image, and links to the coco topic page so that developers can more easily learn about it.
To associate your repository with the coco topic, visit your repo's landing page and select "manage topics."