MSCOCO data format details and how to evaluate mAP with pycocotools
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Updated
Mar 19, 2021 - Jupyter Notebook
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.
Computer Vision Nanodegree, Udacity, Project_2
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。
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.
Fast alternative to FiftyOne for creating a subset of the COCO dataset.
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
IceData: Datasets Hub for the *IceVision* Framework
alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
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