This is the Linux app named MaskFormer whose latest release can be downloaded as MaskFormersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named MaskFormer with OnWorks for free.
Sundin ang mga tagubiling ito upang patakbuhin ang app na ito:
- 1. Na-download ang application na ito sa iyong PC.
- 2. Ipasok sa aming file manager https://www.onworks.net/myfiles.php?username=XXXXX kasama ang username na gusto mo.
- 3. I-upload ang application na ito sa naturang filemanager.
- 4. Simulan ang OnWorks Linux online o Windows online emulator o MACOS online emulator mula sa website na ito.
- 5. Mula sa OnWorks Linux OS na kasisimula mo pa lang, pumunta sa aming file manager https://www.onworks.net/myfiles.php?username=XXXX gamit ang username na gusto mo.
- 6. I-download ang application, i-install ito at patakbuhin ito.
MaskFormer
Ad
DESCRIPTION
MaskFormer is a unified framework for image segmentation developed by Facebook Research, designed to bridge the gap between semantic, instance, and panoptic segmentation within a single architecture. Unlike traditional segmentation pipelines that treat these tasks separately, MaskFormer reformulates segmentation as a mask classification problem, enabling a consistent and efficient approach across multiple segmentation domains. Built on top of Detectron2, it supports a wide range of datasets including ADE20K, Cityscapes, COCO-Stuff, and Mapillary Vistas, and provides pretrained baselines for each. The model achieves strong performance and scalability while simplifying training and evaluation workflows. Its successor, Mask2Former, extends the same meta-architecture to achieve state-of-the-art results across all major segmentation benchmarks. MaskFormer’s modular design, dataset integration, and compatibility with existing Detectron2 models make it an essential research tool.
Mga tampok
- Unified architecture for semantic, instance, and panoptic segmentation
- Built on Detectron2 with full compatibility across models and datasets
- Supports ADE20K, Cityscapes, COCO-Stuff, and Mapillary Vistas datasets
- Reformulates segmentation as a mask classification task for efficiency
- Includes pretrained baselines and a comprehensive model zoo
- Foundation for Mask2Former, achieving state-of-the-art segmentation results
Wika ng Programming
Sawa
Kategorya
This is an application that can also be fetched from https://sourceforge.net/projects/maskformer.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
