Colour Science for Python
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Updated
Jul 23, 2024 - Python
Colour Science for Python
Generate harmonious colors freely.
Curated list of awesome colour science resources 😎
Colour science datasets for use with Colour
Image analysis tools based on Colour and Vispy
Pigment based painting analysis and editing
TensorFlow module for RGB (from / to) LAB color-space conversion.
WebGPU-based visuals for colour science applications
Colour - Spectroscope
Colour - Maya
Various colour science Dash apps built on top of Colour
Color gamut plotting and area calculating tool
Tranforms a cameras dynamic range data into a 1D look up table for use with OpenColorIO color management in Blender 3D.
Colour - Branding
Convert to different color spaces
Various resources for Eclat Digital - Ocean Light Simulator
This model is based on BlazePose model developed by Google research. But the model uses Lab color space instead of RGB used originally in BlazePose
K-means clustering is an algorithm that groups similar data points into a predetermined number of clusters by minimizing the sum of squared distances between data points and their cluster centroids.
Developing a suitable way for applying histogram equalization for Color Images using RGB to HSI and RGB to YCbCr color space conversation. Comparing histogram equalized images using SNR/PSNR measures.
The author's officially PyTorch Channel-Fusion implementation.
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