An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
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Updated
Oct 7, 2023 - Python
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
IceData: Datasets Hub for the *IceVision* Framework
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Fast alternative to FiftyOne for creating a subset of the COCO dataset.
Continuation of an abandoned project fast-coco-eval
This repo contains the process of getting started with Facebook FAIR's detectron2 project on windows 10 without any Nvidia GPU.
基于 torchvision 编写的针对 COCO 数据集的 Faster-RCNN 快速训练与推理框架,支持多 batchsize。
MSCOCO data format details and how to evaluate mAP with pycocotools
Uses a CNN Encoder and a RNN Decoder to generate captions for input images.
Python script generates colored masks from COCO-style annotations. It reads the COCO annotation files, creates masks for each annotation, colors the masks based on the annotation's category, and saves the colored masks as images. The script is designed to handle multiple categories and can be easily extended to support more categories if needed.
Computer Vision Nanodegree, Udacity, Project_2
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