Links to all videos are present at the end of this document. It is recommended to watch the videos before trying out the code. Activate the newly created venv with all neccessary libraries.

本記事は、数年前に私が作成したチュートリアル「Build-Your-Own-Face-Model」の日本語翻訳版です。シリーズのブログ記事を1つにまとめ、人顔認識の初学者に少しでも役立つことを願っています。 私の日本語レベルが非常に限られているため、主にChatGPTを使用し ...

Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability. In this paper, we first introduce an Additive ...

Called with argument: Namespace(batch_size=512, ckpt=3, ctx_num=4, dataset='emore', frequent=20, image_channel=3, kvstore='device', loss='arcface', lr=0.1, lr_steps ...