Image Segmentation using UNETR in TensorFlow | Vision Transformer for Image Segmentation
📺 Video Description: In this video, we are going to train the UNEt TRansformers (UNETR) architecture on the Human Hair Segmentation dataset.
UNETR, or UNet Transformer, is a specialized architecture for medical image segmentation. It uses a pure transformer as the encoder, focusing on learning sequence representations for the input volume to capture global multi-scale information. The encoder connects directly to a decoder through skip connections, forming a U-Net-like structure and producing the ultimate semantic segmentation output.
🔧 Code: https://github.com/nikhilroxtomar/Ima...
🕒 Timeline:
00:00 - Introduction
01:02 - Project Structure and Dataset
02:40 - Training the UNETR
17:37 - Testing the UNETR
28:47 - Conclusion
💡Support:
- / @idiotdeveloper
- https://www.buymeacoffee.com/nikhilro...
🌐 Connect with Me:
Blog: idiotdeveloper.com
Telegram: t.me/idiotdeveloper
Facebook: facebook.com/idiotdeveloper
Twitter: twitter.com/nikhilroxtomar
Instagram: instagram/nikhilroxtomar
Immerse yourself in the world of UNETR and revolutionize your understanding of image segmentation. Subscribe, code along, and let's embark on this transformative journey together! 🚀✨
Смотрите видео Image Segmentation using UNETR in TensorFlow | Vision Transformer for Image Segmentation онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Idiot Developer 01 Январь 1970, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 1,357 раз и оно понравилось 35 людям.