Deepness: Deep Neural Remote Sensing
Plugin ID: 2802
Inference of deep neural network models (ONNX) for segmentation, detection and regression
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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.
| Version | QGIS >= | QGIS <= | Date | |||
|---|---|---|---|---|---|---|
| 0.6.5 | - | 3.22.0 | 3.99.0 | 13129 | przemyslawaszkowski | 2024-12-10T10:38:22.549072+00:00 |
| 0.6.4 | - | 3.22.0 | 3.99.0 | 5185 | przemyslawaszkowski | 2024-10-04T09:42:41.086754+00:00 |
| 0.6.3 | - | 3.22.0 | 3.99.0 | 7334 | przemyslawaszkowski | 2024-04-14T12:48:03.235279+00:00 |
| 0.6.2 | - | 3.22.0 | 3.99.0 | 1863 | przemyslawaszkowski | 2024-03-22T12:30:43.959338+00:00 |
| 0.6.1 | - | 3.22.0 | 3.99.0 | 1855 | przemyslawaszkowski | 2024-02-23T11:32:04.941600+00:00 |
| 0.6.0 | - | 3.22.0 | 3.99.0 | 1392 | przemyslawaszkowski | 2024-02-09T10:30:03.794279+00:00 |
| 0.5.4 | - | 3.22.0 | 3.99.0 | 4037 | przemyslawaszkowski | 2023-09-28T10:09:09.402499+00:00 |
| 0.5.3 | - | 3.22.0 | 3.99.0 | 1183 | przemyslawaszkowski | 2023-09-18T20:28:56.295377+00:00 |
| 0.5.1 | - | 3.22.0 | 3.99.0 | 1935 | przemyslawaszkowski | 2023-07-17T09:31:40.398743+00:00 |
| 0.4.1 | - | 3.22.0 | 3.99.0 | 3067 | przemyslawaszkowski | 2022-11-14T14:16:58.822580+00:00 |
| 0.4.0 | - | 3.10.14 | 3.99.0 | 2271 | przemyslawaszkowski | 2022-10-27T07:21:41.082963+00:00 |
| 0.3.0 | 3.10.14 | 3.99.0 | 591 | przemyslawaszkowski | 2022-10-20T11:38:14.243751+00:00 |
