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Update app.py
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app.py
CHANGED
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@@ -81,24 +81,44 @@ def fourier_transform_drawing(input_image, frames, coefficients, img_size):
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fig.set_size_inches(15, 15)
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draw_x, draw_y = [], []
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def animate(i, coefs, time):
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t = time[i]
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center = (0, 0)
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x, y = center[0] + r * np.cos(theta), center[1] + r * np.sin(theta)
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circle_lines[_].set_data([center[0], center[0] + np.real(
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circles[_].set_data(x, y)
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center = (center[0] + np.real(
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draw_x.append(center[0])
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draw_y.append(center[1])
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drawing.set_data(draw_x[:i+1], draw_y[:i+1])
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drawing_time = 1
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time = np.linspace(0, drawing_time, num=frames)
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anim = animation.FuncAnimation(fig, animate, frames=frames, interval=5, fargs=(coefs, time))
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@@ -122,7 +142,7 @@ interface = gr.Interface(
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outputs=gr.Video(),
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title="Fourier Transform Drawing",
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description="Upload an image and generate a Fourier Transform drawing animation. You can find out more about the project here : https://github.com/staghado/fourier-draw",
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examples=[["Fourier2.jpg", 100,
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)
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if __name__ == "__main__":
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fig.set_size_inches(15, 15)
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draw_x, draw_y = [], []
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# Pre-compute static values outside the animate function
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theta = np.linspace(0, tau, 80)
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coefs_static = [(np.linalg.norm(c), fr) for c, fr in coefs] # Assuming `r` remains constant
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def animate(i, coefs, time):
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t = time[i]
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center = (0, 0)
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# Loop over coefficients
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for _, (r, fr) in enumerate(coefs_static):
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c_dynamic = coefs[_][0] * np.exp(1j * (fr * tau * t)) # Dynamic part of 'c'
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x, y = center[0] + r * np.cos(theta), center[1] + r * np.sin(theta)
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circle_lines[_].set_data([center[0], center[0] + np.real(c_dynamic)], [center[1], center[1] + np.imag(c_dynamic)])
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circles[_].set_data(x, y)
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center = (center[0] + np.real(c_dynamic), center[1] + np.imag(c_dynamic))
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draw_x.append(center[0])
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draw_y.append(center[1])
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drawing.set_data(draw_x[:i+1], draw_y[:i+1])
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# def animate(i, coefs, time):
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# t = time[i]
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# center = (0, 0)
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# theta = np.linspace(0, tau, 80)
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# for _, (c, fr) in enumerate(coefs):
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# c = c * np.exp(1j*(fr * tau * t))
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# r = np.linalg.norm(c)
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# x, y = center[0] + r * np.cos(theta), center[1] + r * np.sin(theta)
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# circle_lines[_].set_data([center[0], center[0] + np.real(c)], [center[1], center[1] + np.imag(c)])
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# circles[_].set_data(x, y)
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# center = (center[0] + np.real(c), center[1] + np.imag(c))
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# draw_x.append(center[0])
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# draw_y.append(center[1])
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# drawing.set_data(draw_x[:i+1], draw_y[:i+1])
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drawing_time = 1
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time = np.linspace(0, drawing_time, num=frames)
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anim = animation.FuncAnimation(fig, animate, frames=frames, interval=5, fargs=(coefs, time))
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outputs=gr.Video(),
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title="Fourier Transform Drawing",
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description="Upload an image and generate a Fourier Transform drawing animation. You can find out more about the project here : https://github.com/staghado/fourier-draw",
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examples=[["Fourier2.jpg", 100, 200, 224], ["Luffy.png", 100, 100, 224]]
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)
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if __name__ == "__main__":
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