This is the Linux app named Raster Vision whose latest release can be downloaded as RasterVision0.21.3sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Raster Vision
DESCRIPTION:
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training models, creating predictions, evaluating models, and bundling the model files and configuration for easy deployment. The input to a Raster Vision pipeline is a set of images and training data, optionally with Areas of Interest (AOIs) that describe where the images are labeled. The output of a Raster Vision pipeline is a model bundle that allows you to easily utilize models in various deployment scenarios.
Features
- Gather dataset-level statistics and metrics for use in downstream processes
- Create training chips from a variety of image and label sources
- Train a model using a “backend” such as PyTorch
- Make predictions using trained models on validation and test data
- Derive evaluation metrics such as F1 score, precision and recall against the model’s predictions on validation datasets
- Bundle the trained model and associated configuration into a model bundle, which can be deployed in batch processes, live servers, and other workflows
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/raster-vision.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.