UNET for Retina Blood Vessel Segmentation in PyTorch | Image Segmentation | Deep Learning
In this video, we are going to learn about UNET segmentation using the PyTorch framework in the python programming language. Here, we are going to use the DRIVE (Digital Retinal Images for Vessel Extraction) dataset consisting of retina vessel images along with their annotated binary mask. The dataset is consist of 20 images for both training and testing set. UNET is a U-shaped encoder-decoder network architecture consisting of four encoder blocks and four decoder blocks connected via a bridge. The encoder network (contracting path) half the spatial dimensions and double the number of filters (feature channels) at each encoder block. Likewise, the decoder network doubles the spatial dimensions and half the number of feature channels. Read more: https://idiotdeveloper.com/what-is-unet/ Code (GitHub): https://github.com/nikhilroxtomar/Ret... Dataset: https://www.kaggle.com/datasets/zionf... Blog Post: UNET Implementation in PyTorch: https://idiotdeveloper.com/unet-imple... RESUNET Implementation in PyTorch: https://idiotdeveloper.com/resunet-im... UNET Implementation in TensorFlow using Keras API: https://idiotdeveloper.com/unet-imple... What is UNET: https://idiotdeveloper.com/what-is-unet/ What is RESUNET: https://idiotdeveloper.com/what-is-re... Support: / @idiotdeveloper https://www.buymeacoffee.com/nikhilro... Follow Me: BLOG: https://idiotdeveloper.com https://sciencetonight.com TELEGRAM: https://t.me/idiotdeveloper FACEBOOK: / idiotdeveloper TWITTER: / nikhilroxtomar INSTAGRAM: https://instagram/nikhilroxtomar PATREON: / idiotdeveloper My Gears: Intel i5-7400: https://amzn.to/3ilpq95 Gigabyte GA-B250M-D2V: https://amzn.to/3oPuntd ZOTAC GeForce GTX 1060: https://amzn.to/2XNtsxn LG 22MP68VQ 22 inch IPS Monitor: https://amzn.to/3soUKs5 Corsair VENGEANCE LPX 16GB: https://amzn.to/2LVyR2L WD Green 240 GB SSD: https://amzn.to/3igt1Ft 1TB WD Blue: https://amzn.to/38I6uhw Corsair VS550 550W: https://amzn.to/3nILHi3 Zebronics BT4440RUCF 4.1 Speakers: https://amzn.to/2XGu203 Segate 1TB Portable Hard Disk: https://amzn.to/3bF8YPG Seagate Backup Plus Hub 8 TB External HDD: https://amzn.to/39wcqtj Maono AU-A04 Condenser Microphone: https://amzn.to/35HHiWC Techlicious 3.5mm Clip Microphone: https://amzn.to/3bERKSD Redgear Dagger Headphones: https://amzn.to/3ssZNYr
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