hrithickcodes/pix2pix
This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.
This project helps convert satellite images into detailed street maps. You provide a satellite photograph, and it generates a corresponding street map, showing roads and geographical features. It is ideal for urban planners, cartographers, or geospatial analysts who need to quickly visualize or process aerial imagery into map formats.
No commits in the last 6 months.
Use this if you need to transform aerial or satellite imagery into standard street map representations for analysis or visualization.
Not ideal if you need highly detailed, real-time navigation maps or are looking to convert images into non-map formats.
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Last pushed
Mar 18, 2021
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