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Resources for deep learning with satellite & aerial imagery
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful...
...No installation required - just download the executable and start creating.
✨ **Key Features:**
• 8 Unique Art Styles: Pencil Sketch, Color Sketch, Cartoon, Watercolor, Oil Painting, Crayon, Comic Book, and Pop Art
• Real-time preview with adjustable brightness, contrast, and sharpness
• Simple drag-and-drop interface
• Save artwork in PNG or JPG format
• No installation needed - portable executable
• Free and open source
FotoSketcher automatically turns photos into watercolor or oil paintings, drawings, sketches, cartoons and more. Over 25 filters are provided together with simple image retouching capabilities (crop, resize, contrast, saturation, blur, sharpen, add text...). Batch and script modes are available for more advanced artistic image processing. Add frames and textures to finalize your art.