This is the Windows app named DeepLabv3 Plus whose latest release can be downloaded as v3.0-step,cosXueXiLuXiaJiang,DuoGPUXunLiansourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
DeepLabv3 Plus
DESCRIPTION:
DeepLabv3 Plus is a PyTorch implementation of DeepLabv3+ for semantic segmentation. It implements the encoder-decoder architecture with atrous separable convolution and provides a practical workflow for training, prediction, and mIoU evaluation. The repository supports VOC-style segmentation datasets and includes utilities for annotation generation, JSON dataset conversion, model summary inspection, prediction, and metric calculation. It provides pretrained weight workflows for MobileNetV2 and Xception backbones and notes that the correct backbone should be selected during training and prediction. The project also supports multi-GPU training, multiple backbones, learning rate schedules with step and cosine options, optimizer selection, and adaptive learning rate behavior based on batch size. It is useful for users who want a stronger semantic segmentation baseline than U-Net for scene-level segmentation tasks.
Features
- DeepLabv3+ segmentation implementation
- Encoder-decoder architecture support
- MobileNetV2 and Xception backbone workflows
- VOC-style dataset training
- mIoU evaluation script
- Multi-GPU training support
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deeplabv3-plus.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.