init

app.py

@@ -54,25 +54,25 @@ with gr.Blocks(css=CSS) as demo:
             output_image = gr.Image(label="Output Range Map", elem_id='img-display-output')
             output_pcd = gr.Model3D(label="Output Point Cloud", elem_id='pcd-display-output', interactive=False)
 
-    raw_file = gr.File(label="Point Cloud (.txt file). Can be viewed through Meshlab")
+    # raw_file = gr.File(label="Point Cloud (.txt file). Can be viewed through Meshlab")
     submit = gr.Button("Generate")
 
     def on_submit(image):
         cond = load_camera(image)
         img, pcd = generate_lidar(model, cond)
 
-        tmp = tempfile.NamedTemporaryFile(suffix='.txt', delete=False)
-        pcd.save(tmp.name)
+        # tmp = tempfile.NamedTemporaryFile(suffix='.txt', delete=False)
+        # pcd.save(tmp.name)
 
         rgb_img = colorize_depth(img, log_scale=True)
 
-        return [rgb_img, pcd, tmp.name]
+        return [rgb_img, pcd]
 
-    submit.click(on_submit, inputs=[input_image], outputs=[output_image, output_pcd, raw_file])
+    submit.click(on_submit, inputs=[input_image], outputs=[output_image, output_pcd])
 
     example_files = sorted(os.listdir('cam_examples'))
     example_files = [os.path.join('cam_examples', filename) for filename in example_files]
-    examples = gr.Examples(examples=example_files, inputs=[input_image], outputs=[output_image, output_pcd, raw_file],
+    examples = gr.Examples(examples=example_files, inputs=[input_image], outputs=[output_image, output_pcd],
                            fn=on_submit, cache_examples=False)
 
     gr.Markdown(FOOTER)