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Update app.py
Browse files
app.py
CHANGED
@@ -23,7 +23,7 @@ def process_image(input_image, img_size, blur_kernel_size, desired_range):
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x_range, y_range = np.max(xs) - np.min(xs), np.max(ys) - np.min(ys)
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scale_x, scale_y = desired_range / x_range, desired_range / y_range
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xs = (xs - np.mean(xs)) * scale_x
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ys = (
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return xs, ys
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@@ -81,6 +81,14 @@ def animate(frame, coefs, time, fig, ax, background, circles, circle_lines, draw
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ax.draw_artist(drawing)
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fig.canvas.blit(ax.bbox)
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def generate_animation(frames, coefs, img_size, desired_range, theta_points, coefficients):
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fig, ax, background, circles, circle_lines, drawing = setup_animation_env(img_size, desired_range, coefficients)
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@@ -102,13 +110,15 @@ def fourier_transform_drawing(input_image, frames, coefficients, img_size, blur_
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# Saving the animation
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_file:
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anim.save(temp_file.name, fps=15)
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def setup_gradio_interface():
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interface = gr.Interface(
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fn=fourier_transform_drawing,
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inputs=[
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gr.Image(label="
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gr.Slider(minimum=5, maximum=500, value=100, label="Number of Frames"),
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gr.Slider(minimum=1, maximum=500, value=50, label="Number of Coefficients"),
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gr.Number(value=224, label="Image Size (px)", precision=0),
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x_range, y_range = np.max(xs) - np.min(xs), np.max(ys) - np.min(ys)
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scale_x, scale_y = desired_range / x_range, desired_range / y_range
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xs = (xs - np.mean(xs)) * scale_x
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ys = -(ys - np.mean(ys)) * scale_y
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return xs, ys
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ax.draw_artist(drawing)
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fig.canvas.blit(ax.bbox)
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# Capture the frame as an image
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fig.canvas.draw()
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image = np.frombuffer(fig.canvas.tostring_rgb(), dtype='uint8')
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image = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))
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yield Image.fromarray(image)
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def generate_animation(frames, coefs, img_size, desired_range, theta_points, coefficients):
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fig, ax, background, circles, circle_lines, drawing = setup_animation_env(img_size, desired_range, coefficients)
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# Saving the animation
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_file:
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anim.save(temp_file.name, fps=15)
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for frame in range(frames):
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yield from animate(frame, coefs, time, fig, ax, background, circles, circle_lines, drawing, draw_x, draw_y, coefs_static, theta), temp_file.name
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def setup_gradio_interface():
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interface = gr.Interface(
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fn=fourier_transform_drawing,
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inputs=[
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gr.Image(label="Drawing Progress", sources=['upload'], type="pil"),
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gr.Slider(minimum=5, maximum=500, value=100, label="Number of Frames"),
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gr.Slider(minimum=1, maximum=500, value=50, label="Number of Coefficients"),
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gr.Number(value=224, label="Image Size (px)", precision=0),
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