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3D projection
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| import cv2 | |
| import numpy as np | |
| import plotly.graph_objects as go | |
| image = cv2.imread("earth.jpeg", cv2.IMREAD_COLOR) | |
| height, width, _ = image.shape | |
| image = cv2.resize(image, (300, int(height * 300 / width))) | |
| height, width, _ = image.shape | |
| theta = np.repeat(range(height), width) * np.pi / height | |
| phi = np.tile(range(width), height) * 2 * np.pi / width | |
| x = np.sin(theta) * np.cos(phi) | |
| y = np.sin(theta) * np.sin(phi) | |
| z = np.cos(theta) | |
| b, g, r = np.dsplit(image.astype(np.uint32), 3) | |
| c = np.vectorize(lambda i: f"#{i:06x}")(r << 16 | g << 8 | b).flatten() | |
| fig = go.Figure(data=go.Scatter3d(x=x, y=y, z=z, mode="markers", marker=dict(color=c, size=3))) | |
| fig.show() |
Author
Author
Result:
Author
But really you can render anything...
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earth.jpegfile: