Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -23,7 +23,7 @@ def process_image(input_image, img_size, blur_kernel_size, desired_range):
|
|
| 23 |
x_range, y_range = np.max(xs) - np.min(xs), np.max(ys) - np.min(ys)
|
| 24 |
scale_x, scale_y = desired_range / x_range, desired_range / y_range
|
| 25 |
xs = (xs - np.mean(xs)) * scale_x
|
| 26 |
-
ys = (
|
| 27 |
|
| 28 |
return xs, ys
|
| 29 |
|
|
@@ -81,6 +81,14 @@ def animate(frame, coefs, time, fig, ax, background, circles, circle_lines, draw
|
|
| 81 |
ax.draw_artist(drawing)
|
| 82 |
|
| 83 |
fig.canvas.blit(ax.bbox)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
|
| 85 |
def generate_animation(frames, coefs, img_size, desired_range, theta_points, coefficients):
|
| 86 |
fig, ax, background, circles, circle_lines, drawing = setup_animation_env(img_size, desired_range, coefficients)
|
|
@@ -102,13 +110,15 @@ def fourier_transform_drawing(input_image, frames, coefficients, img_size, blur_
|
|
| 102 |
# Saving the animation
|
| 103 |
with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_file:
|
| 104 |
anim.save(temp_file.name, fps=15)
|
| 105 |
-
|
|
|
|
|
|
|
| 106 |
|
| 107 |
def setup_gradio_interface():
|
| 108 |
interface = gr.Interface(
|
| 109 |
fn=fourier_transform_drawing,
|
| 110 |
inputs=[
|
| 111 |
-
gr.Image(label="
|
| 112 |
gr.Slider(minimum=5, maximum=500, value=100, label="Number of Frames"),
|
| 113 |
gr.Slider(minimum=1, maximum=500, value=50, label="Number of Coefficients"),
|
| 114 |
gr.Number(value=224, label="Image Size (px)", precision=0),
|
|
|
|
| 23 |
x_range, y_range = np.max(xs) - np.min(xs), np.max(ys) - np.min(ys)
|
| 24 |
scale_x, scale_y = desired_range / x_range, desired_range / y_range
|
| 25 |
xs = (xs - np.mean(xs)) * scale_x
|
| 26 |
+
ys = -(ys - np.mean(ys)) * scale_y
|
| 27 |
|
| 28 |
return xs, ys
|
| 29 |
|
|
|
|
| 81 |
ax.draw_artist(drawing)
|
| 82 |
|
| 83 |
fig.canvas.blit(ax.bbox)
|
| 84 |
+
|
| 85 |
+
# Capture the frame as an image
|
| 86 |
+
fig.canvas.draw()
|
| 87 |
+
image = np.frombuffer(fig.canvas.tostring_rgb(), dtype='uint8')
|
| 88 |
+
image = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))
|
| 89 |
+
|
| 90 |
+
yield Image.fromarray(image)
|
| 91 |
+
|
| 92 |
|
| 93 |
def generate_animation(frames, coefs, img_size, desired_range, theta_points, coefficients):
|
| 94 |
fig, ax, background, circles, circle_lines, drawing = setup_animation_env(img_size, desired_range, coefficients)
|
|
|
|
| 110 |
# Saving the animation
|
| 111 |
with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_file:
|
| 112 |
anim.save(temp_file.name, fps=15)
|
| 113 |
+
|
| 114 |
+
for frame in range(frames):
|
| 115 |
+
yield from animate(frame, coefs, time, fig, ax, background, circles, circle_lines, drawing, draw_x, draw_y, coefs_static, theta), temp_file.name
|
| 116 |
|
| 117 |
def setup_gradio_interface():
|
| 118 |
interface = gr.Interface(
|
| 119 |
fn=fourier_transform_drawing,
|
| 120 |
inputs=[
|
| 121 |
+
gr.Image(label="Drawing Progress", sources=['upload'], type="pil"),
|
| 122 |
gr.Slider(minimum=5, maximum=500, value=100, label="Number of Frames"),
|
| 123 |
gr.Slider(minimum=1, maximum=500, value=50, label="Number of Coefficients"),
|
| 124 |
gr.Number(value=224, label="Image Size (px)", precision=0),
|