We write your reusable computer vision tools. 💜
-
Updated
May 24, 2024 - Python
We write your reusable computer vision tools. 💜
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.
Tools for converting Label Studio annotations into common dataset formats
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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).
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
icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
🔄 A tool for object detection and image segmentation dataset format conversion.
This repository contains Python scripts for preparing and augmenting the COCO 2017 dataset for image colorization tasks.
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.
Continuation of an abandoned project fast-coco-eval
Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
Computer vision based ML training data generation tool 🚀
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."