We write your reusable computer vision tools. 💜
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Updated
Jun 10, 2024 - Python
We write your reusable computer vision tools. 💜
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
JumpServer 是广受欢迎的开源堡垒机,是符合 4A 规范的专业运维安全审计系统。
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Simple dataset creator in COCO-format.
Tools for converting Label Studio annotations into common dataset formats
Official PyTorch implementation for "HyenaPixel: Global Image Context with Convolutions"
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
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
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.
A collection of some awesome public object detection and recognition datasets.
Continuation of an abandoned project fast-coco-eval
This repository contains implementations and models related to the semantic segmentation of breast images. The main goal is to apply fine-tuning to the Semantic-SAM model to enhance accuracy in the segmentation of mammary structures(breast).
icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors
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