From 4892d0dabcd983b70bd7c564293cc178c51a627f Mon Sep 17 00:00:00 2001 From: Guanghua Yu <742925032@qq.com> Date: Tue, 2 Nov 2021 17:26:03 +0800 Subject: [PATCH] [cherry-pick]fix PicoDet readme docs (#4425) * fix PicoDet readme docs --- configs/picodet/README.md | 35 ++++++++++++++++++-------- deploy/lite/README.md | 18 +++++++++---- docs/images/picodet_android_demo1.jpg | Bin 979046 -> 1005558 bytes docs/images/picodet_android_demo2.jpg | Bin 1119392 -> 1175030 bytes 4 files changed, 38 insertions(+), 15 deletions(-) diff --git a/configs/picodet/README.md b/configs/picodet/README.md index 235b494e0..cd25cfe64 100644 --- a/configs/picodet/README.md +++ b/configs/picodet/README.md @@ -3,19 +3,19 @@ ![](../../docs/images/picedet_demo.jpeg) ## Introduction -We developed a series of lightweight models, which named `PP-PicoDet`. Because of its excellent performance, it is very suitable for deployment on mobile or CPU. For more details, please refer to our [report on arXiv](https://arxiv.org/abs/2111.00902). +We developed a series of lightweight models, named `PP-PicoDet`. Because of the excellent performance, our models are very suitable for deployment on mobile or CPU. For more details, please refer to our [report on arXiv](https://arxiv.org/abs/2111.00902). - 🌟 Higher mAP: the **first** object detectors that surpass mAP(0.5:0.95) **30+** within 1M parameters when the input size is 416. - 🚀 Faster latency: 150FPS on mobile ARM CPU. - 😊 Deploy friendly: support PaddleLite/MNN/NCNN/OpenVINO and provide C++/Python/Android implementation. -- 😍 Advanced algorithm: use the most advanced algorithms and innovate, such as ESNet, CSP-PAN, SimOTA with VFL, etc. +- 😍 Advanced algorithm: use the most advanced algorithms and offer innovation, such as ESNet, CSP-PAN, SimOTA with VFL, etc.
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