https://github.com/developer0hye/color-space-3d-visualization
Visualize the Color Space in 3D using Plotly on Google Colab.
https://github.com/developer0hye/color-space-3d-visualization
3d 3d-visualization color-space hsv rgb visualization yuv
Last synced: about 2 months ago
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Visualize the Color Space in 3D using Plotly on Google Colab.
- Host: GitHub
- URL: https://github.com/developer0hye/color-space-3d-visualization
- Owner: developer0hye
- License: mit
- Created: 2024-02-07T13:49:57.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-07T14:00:42.000Z (about 2 years ago)
- Last Synced: 2025-09-27T09:59:15.655Z (6 months ago)
- Topics: 3d, 3d-visualization, color-space, hsv, rgb, visualization, yuv
- Homepage:
- Size: 415 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Color-Space-3D-Visualization
Visualize the Color Space in 3D using Plotly on [Google Colab](https://colab.research.google.com/drive/15oyszKCTJ1wtVt1y0fqYfRHIYtyvYWoM?usp=sharing).
```bash
!pip install plotly
```
```python
import plotly.graph_objects as go
import numpy as np
# Define RGB values
resolution = 32
rgb_range = np.linspace(0, 255, resolution, dtype=float)
mesh_r, mesh_g, mesh_b = np.meshgrid(rgb_range, rgb_range, rgb_range, indexing='ij')
# Convert RGB to YUV, see https://stackoverflow.com/questions/2905597/how-to-deal-with-rgb-to-yuv-conversion for reference
y = 0.299 * mesh_r + 0.587 * mesh_g + 0.114 * mesh_b
u = 128 - 0.168736 * mesh_r - 0.331264 * mesh_g + 0.5 * mesh_b
v = 128 + 0.5 * mesh_r - 0.418688 * mesh_g - 0.081312 * mesh_b
# Set color of each point based on its RGB value
colors = np.stack([mesh_r, mesh_g, mesh_b], axis=-1)
colors = colors.reshape(-1, 3)
# Create Plotly 3D scatter plot
fig = go.Figure(data=[go.Scatter3d(
x=y.flatten(),
y=u.flatten(),
z=v.flatten(),
mode='markers',
marker=dict(
size=2, # Adjust marker size
color=['rgb({},{},{})'.format(r,g,b) for r,g,b in colors], # Set color based on RGB values
opacity=0.8
)
)])
# Set labels
fig.update_layout(
scene = dict(
xaxis_title='Y',
yaxis_title='U',
zaxis_title='V'
),
margin=dict(r=0, b=0, l=0, t=0) # Adjust margins
)
fig.show()
```
Experience 3D!
## Credits
This project was generated with the assistance of ChatGPT-4, an advanced language model developed by OpenAI. The tool's concept, code snippets, and documentation were crafted through interactive sessions with the AI, showcasing the potential of AI-assisted software development.