sentinel2-cloud-detector
pointnet2
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sentinel2-cloud-detector | pointnet2 | |
---|---|---|
3 | 2 | |
399 | 2,875 | |
3.5% | - | |
5.9 | 0.0 | |
4 months ago | over 1 year ago | |
Python | Python | |
Creative Commons Attribution Share Alike 4.0 | GNU General Public License v3.0 or later |
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sentinel2-cloud-detector
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Earth 2020 in 3 seconds, extracted from over 3 petabytes of satellite data | [OC]
You can find more info in this Jupyter notebook example, the first part is downloading the data (for this you need the account), but if you start later on with the assumption that you bring the data yourself. You can open the ticket if you run into any issues :)
pointnet2
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Why does trained model fail on new data?
Is this how you trained the segmentation? https://github.com/charlesq34/pointnet2
- Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out
What are some alternatives?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
eoreader - Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
ttach - Image Test Time Augmentation with PyTorch!
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
RAFT
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
pointnet - PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation