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Deepness: Deep Neural Remote Sensing QGIS 4 compatibility
Not QGIS 4 ready Quiet
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
Inference of deep neural network models (ONNX) for segmentation, detection and regression
About
Deepness plugin allows to easily perform segmentation, detection and regression on raster ortophotos with custom ONNX Neural Network models, bringing the power of deep learning to casual users. Features highlights: - processing any raster layer (custom ortophoto from file or layers from online providers, e.g Google Satellite) - limiting processing range to predefined area (visible part or area defined by vector layer polygons) - common types of models are supported: segmentation, regression, detection - integration with layers (both for input data and model output layers). Once an output layer is created, it can be saved as a file manually - model ZOO under development (planes detection on Bing Aerial, Corn field damage, Oil Storage tanks detection, cars detection, ...) - training data Export Tool - exporting raster and mask as small tiles - parametrization of the processing for advanced users (spatial resolution, overlap, postprocessing) Plugin requires external python packages to be installed. After the first plugin startup, a Dialog will show, to assist in this process. Please visit plugin the documentation for details.
| Author | PUT Vision |
|---|---|
| Downloads | 90,027 |
| Latest version | 0.6.5 |
| Last updated | 2024-12-10 (674 days ago) |
| Min QGIS | 3.22.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Quiet |
| Categories | AI & machine learning, Remote sensing |
| Tags | classification, remote sensing, onnx, machine learning, deep learning, regression, neural network, deepness, detection, supervised classification, segmentation, analysis |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.