zylo117

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thanks for the hard work! Can you provide the pi4 64 bit links again? The link in your website is broken. http://mediaserv.tremplin.ens-lyon.fr/isoImages/RaspBerry/DebianBusterPi4/22021-02-04-rpi4-64-buster.img.xz @g-vidal

> > 换官方源,http://packages.deepin.com/deepin/pool/non-free/ > > 大佬现在官方源也找不到相应的包了 http://packages.deepin.com/deepin/pool/non-free/d/

> > I can not download the D0-D7 pth pretrained models because of the connection, who can provide them to me? Thanks . > > [[email protected]](mailto:[email protected]) / > > [[email protected]](mailto:[email protected])...

I did, I re-implement efficientdet following the offical google's automl efficientdet and finetuning it a little bit. checkout my repo. https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch

checkout my repo. The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights. https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch/

> Great. Well done. Please confirm you achieved exactly same results as claimed in the paper? > > Thanks, > Muhammad Ajmal Siddiqui the result is in the readme of...