未验证 提交 c62e6145 编写于 作者: K Kaipeng Deng 提交者: GitHub

update doc (#608)

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# PaddleDetection
PaddleDetection的目的是为工业界和学术界提供丰富、易用的目标检测模型。不仅性能优越、易于部署,而且能够灵活的满足算法研究的需求
飞桨推出的PaddleDetection是端到端目标检测开发套件,旨在帮助开发者更快更好地完成检测模型的训练、精度速度优化到部署全流程。PaddleDetection以模块化的设计实现了多种主流目标检测算法,并且提供了丰富的数据增强、网络组件、损失函数等模块,集成了模型压缩和跨平台高性能部署能力。目前基于PaddleDetection已经完成落地的项目涉及工业质检、遥感图像检测、无人巡检等多个领域
**目前检测库下模型均要求使用PaddlePaddle 1.7及以上版本或适当的develop版本。**
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# PaddleDetection
The goal of PaddleDetection is to provide easy access to a wide range of object
detection models in both industry and research settings. We design
PaddleDetection to be not only performant, production-ready but also highly
flexible, catering to research needs.
PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which
aims to help developers in the whole development of training models, optimizing performance and
inference speed, and deploying models. PaddleDetection provides varied object detection architectures
in modular design, and wealthy data augmentation methods, network components, loss functions, etc.
PaddleDetection supported practical projects such as industrial quality inspection, remote sensing
image object detection, and automatic inspection with its practical features such as model compression
and multi-platform deployment.
**Now all models in PaddleDetection require PaddlePaddle version 1.7 or higher, or suitable develop version.**
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