Detection and tracking for swooned person using NAS-FPN (Ver. 2.0) Introduce This repo is the output of the IITP AI Grand Challenge. It was released under Apache License 2.0, and anyone can use it freely within the scope of the license. How to use Download this repo and build. (Build...
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https://github.com/yangJirui/gluon2TF 训练权重 在文件夹($path_root/libs/configs/)中选择一个配置文件,并将其内容复制到cfgs.py中,然后下载相应的权重weights。 准备编译环境: 代码语言:txt AI代码解释 cd $PATH_ROOT/libs/box_utils/cython_utils python setup.py build_ext --inplace ...
目前没有直接指向特定NAS-FPN实现的开源代码库的链接,但你可以在一些深度学习框架的官方GitHub仓库或研究者的个人GitHub仓库中搜索相关的NAS和FPN实现,以获取启发和参考。 博客和教程: 你可以在机器学习相关的博客网站(如Medium、Towards Data Science等)上搜索关于NAS-FPN的教程和解读文章,这些文章通常会以更通俗易懂...
谷歌大脑的Quoc Le团队,用神经网络架构搜索 (NAS) ,发现了一个目标检测模型。长这样: △看不清请把手机横过来 它的准确率和速度都超过了大前辈Mask-RCNN;也超过了另外两只行业精英:FPN和SSD。 模型叫做NAS-FPN。大佬Quoc Le说,它的长相完全在想象之外,十分前卫: ...
代码:https://github.com/timy90022/One-Shot-Object-Detection 网络结构 【10】SAPD:Soft Anchor-Point目标检测 《Soft Anchor-Point Object Detection》 时间:20191202 作者团队:卡耐基梅隆大学(CMU) 链接:https://arxiv.org/abs/1911.12448 注:SAPD:目前最强Anchor-free目标检测网络,性能高达47.4mAP/4.5FPS!性能秒...
当我们在mmdet中使用Nasfpn作为检测模型Neck的时候,总会在合并p5和p4_2的feature map的时候出现以下bug(借用这个issue的报错信息)。 File "mmdetection-master/mmdet/models/necks/nas_fpn.py", line 152, in forward p7_tmp = stage['gp_54_7'](p5, p4_2, out_size=p7.shape[-2:]) ...
代码和数据集:https://github.com/ucas-vg/TinyBenchmark 注:终于看到小目标检测的研究论文,提出TinyPerson数据集(物体小于20个像素),也提出小目标检测新方法SM,即将开源! ScaleMatch和TinyPerson的介绍详见:拯救小目标检测!Tiny Person数据集和SM尺度匹配小目标检测新方法 ...
GET /api/users/auth/github/callback?code=afefcf8b12561c910798 - - ms - - [0] undefined [0] TokenError: The code passed is incorrect or expired. ...How can orientdb create a index at the same time can accept written I'm sorry I ask agin. If I can't solve, orientdb can't ...
代码:https://github.com/timy90022/One-Shot-Object-Detection 网络结构 【10】SAPD:Soft Anchor-Point目标检测 《Soft Anchor-Point Object Detection》 时间:20191202 作者团队:卡耐基梅隆大学(CMU) 链接:https://arxiv.org/abs/1911.12448 注:SAPD:目前最强Anchor-free目标检测网络,性能高达47.4mAP/4.5FPS!性能秒...