We write your reusable computer vision tools. 💜
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Updated
Jul 4, 2024 - Python
We write your reusable computer vision tools. 💜
Image segmentation implemented using pytorch on a COCO format Dataset of Ingredients with various models including U-NET, U-NET++, SegNet and DeepLabV3+
The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Use this project to automatically annotate your dataset for free in CVAT
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Simple dataset creator in COCO-format.
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
Continuation of an abandoned project fast-coco-eval
Helper functions to create COCO datasets
使用 TensorFlow Object Detect API 完成对苹果、香蕉、橙子的目标检测。
Tools for converting Label Studio annotations into common dataset formats
Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
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.
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