A Python package for simulating skylight polarization sensor recordings using advanced polarization models (including Pan, Berry, and Rayleigh). Designed for researchers and engineers, this tool enables the generation of synthetic datasets for biomimetic navigation, machine learning, computer vision, and atmospheric optics. Ideal for developing and testing bio-inspired sensors, building training data for AI models, and exploring applications in robotics, remote sensing, and environmental monitoring.
A Python package for simulating skylight polarization sensor recordings using advanced polarization models (including Pan, Berry, and Rayleigh). Designed for researchers and engineers, this tool enables the generation of synthetic datasets for biomimetic navigation, machine learning, computer vision, and atmospheric optics. Ideal for developing and testing bio-inspired sensors, building training data for AI models, and exploring applications in robotics, remote sensing, and environmental monitoring.
Documentation and others to be written.
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A Python package for simulating skylight polarization sensor recordings using advanced polarization models (including Pan, Berry, and Rayleigh). Designed for researchers and engineers, this tool enables the generation of synthetic datasets for biomimetic navigation, machine learning, computer vision, and atmospheric optics. Ideal for developing and testing bio-inspired sensors, building training data for AI models, and exploring applications in robotics, remote sensing, and environmental monitoring.
We found that pyskylumos demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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