update app.py
Browse files
app.py
CHANGED
@@ -137,8 +137,6 @@ with gr.Blocks(title="Brain tumor 3D segmentation with MONAIMNIST - ClassCat",
|
|
137 |
input_image2 = gr.Image(label="image channel 2", type="pil", shape=(240, 240))
|
138 |
input_image3 = gr.Image(label="image channel 3", type="pil", shape=(240, 240))
|
139 |
|
140 |
-
#input_image = gr.Image(label="η»εε
₯ε", type="pil", image_mode="RGB", shape=(240, 240))
|
141 |
-
|
142 |
with gr.Row():
|
143 |
label_image0 = gr.Image(label="label channel 0", type="pil")
|
144 |
label_image1 = gr.Image(label="label channel 1", type="pil")
|
@@ -179,7 +177,8 @@ with gr.Blocks(title="Brain tumor 3D segmentation with MONAIMNIST - ClassCat",
|
|
179 |
outputs=[sample_index, input_image0, input_image1, input_image2, input_image3,
|
180 |
label_image0, label_image1, label_image2])
|
181 |
|
182 |
-
gr.HTML("""<
|
|
|
183 |
|
184 |
with gr.Row():
|
185 |
output_image0 = gr.Image(label="output channel 0", type="pil")
|
|
|
137 |
input_image2 = gr.Image(label="image channel 2", type="pil", shape=(240, 240))
|
138 |
input_image3 = gr.Image(label="image channel 3", type="pil", shape=(240, 240))
|
139 |
|
|
|
|
|
140 |
with gr.Row():
|
141 |
label_image0 = gr.Image(label="label channel 0", type="pil")
|
142 |
label_image1 = gr.Image(label="label channel 1", type="pil")
|
|
|
177 |
outputs=[sample_index, input_image0, input_image1, input_image2, input_image3,
|
178 |
label_image0, label_image1, label_image2])
|
179 |
|
180 |
+
gr.HTML("""<br/>""")
|
181 |
+
gr.HTML("""<h4 style="color:navy;">2. Then, click "Infer" button to predict segmentation images. It will take about 30 seconds (on cpu)</h4>""")
|
182 |
|
183 |
with gr.Row():
|
184 |
output_image0 = gr.Image(label="output channel 0", type="pil")
|