debugging

app.py

@@ -55,8 +55,8 @@ def pack_state(gs: Gaussian, mesh: MeshExtractResult, trial_id: str) -> dict:
         },
         'trial_id': trial_id,
     }
-    
-    
+
+
 def unpack_state(state: dict) -> Tuple[Gaussian, edict, str]:
     gs = Gaussian(
         aabb=state['gaussian']['aabb'],
@@ -71,12 +71,12 @@ def unpack_state(state: dict) -> Tuple[Gaussian, edict, str]:
     gs._scaling = torch.tensor(state['gaussian']['_scaling'], device='cuda')
     gs._rotation = torch.tensor(state['gaussian']['_rotation'], device='cuda')
     gs._opacity = torch.tensor(state['gaussian']['_opacity'], device='cuda')
-    
+
     mesh = edict(
         vertices=torch.tensor(state['mesh']['vertices'], device='cuda'),
         faces=torch.tensor(state['mesh']['faces'], device='cuda'),
     )
-    
+
     return gs, mesh, state['trial_id']
 
 
@@ -159,36 +159,36 @@ with gr.Blocks() as demo:
     * Upload an image and click "Generate" to create a 3D asset. If the image has alpha channel, it be used as the mask. Otherwise, we use `rembg` to remove the background.
     * If you find the generated 3D asset satisfactory, click "Extract GLB" to extract the GLB file and download it.
     """)
-    
-    with gr.Row():
-        with gr.Column():
-            image_prompt = gr.Image(label="Image Prompt", image_mode="RGBA", type="pil", height=300)
-            
-            with gr.Accordion(label="Generation Settings", open=False):
-                seed = gr.Slider(0, MAX_SEED, label="Seed", value=0, step=1)
-                randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
-                gr.Markdown("Stage 1: Sparse Structure Generation")
-                with gr.Row():
-                    ss_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=7.5, step=0.1)
-                    ss_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
-                gr.Markdown("Stage 2: Structured Latent Generation")
-                with gr.Row():
-                    slat_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=3.0, step=0.1)
-                    slat_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
-
-            generate_btn = gr.Button("Generate")
-            
-            with gr.Accordion(label="GLB Extraction Settings", open=False):
-                mesh_simplify = gr.Slider(0.9, 0.98, label="Simplify", value=0.95, step=0.01)
-                texture_size = gr.Slider(512, 2048, label="Texture Size", value=1024, step=512)
-            
-            extract_glb_btn = gr.Button("Extract GLB", interactive=False)
-
-        with gr.Column():
-            video_output = gr.Video(label="Generated 3D Asset", autoplay=True, loop=True, height=300)
-            model_output = LitModel3D(label="Extracted GLB", exposure=20.0, height=300)
-            download_glb = gr.DownloadButton(label="Download GLB", interactive=False)
-            
+
+    # with gr.Row():
+    #     with gr.Column():
+    #         image_prompt = gr.Image(label="Image Prompt", image_mode="RGBA", type="pil", height=300)
+
+    #         with gr.Accordion(label="Generation Settings", open=False):
+    #             seed = gr.Slider(0, MAX_SEED, label="Seed", value=0, step=1)
+    #             randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
+    #             gr.Markdown("Stage 1: Sparse Structure Generation")
+    #             with gr.Row():
+    #                 ss_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=7.5, step=0.1)
+    #                 ss_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
+    #             gr.Markdown("Stage 2: Structured Latent Generation")
+    #             with gr.Row():
+    #                 slat_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=3.0, step=0.1)
+    #                 slat_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
+
+    #         generate_btn = gr.Button("Generate")
+
+    #         with gr.Accordion(label="GLB Extraction Settings", open=False):
+    #             mesh_simplify = gr.Slider(0.9, 0.98, label="Simplify", value=0.95, step=0.01)
+    #             texture_size = gr.Slider(512, 2048, label="Texture Size", value=1024, step=512)
+
+    #         extract_glb_btn = gr.Button("Extract GLB", interactive=False)
+
+    #     with gr.Column():
+    #         video_output = gr.Video(label="Generated 3D Asset", autoplay=True, loop=True, height=300)
+    #         model_output = LitModel3D(label="Extracted GLB", exposure=20.0, height=300)
+    #         download_glb = gr.DownloadButton(label="Download GLB", interactive=False)
+
     trial_id = gr.Textbox(visible=False)
     output_buf = gr.State()
 
@@ -244,7 +244,7 @@ with gr.Blocks() as demo:
         deactivate_button,
         outputs=[download_glb],
     )
-    
+
 
 # Cleans up the temporary directory every 10 minutes
 import threading
@@ -258,10 +258,10 @@ def cleanup_tmp_dir():
                 if time.time() - os.path.getmtime(os.path.join(TMP_DIR, file)) > 600:
                     os.remove(os.path.join(TMP_DIR, file))
         time.sleep(600)
-                
+
 cleanup_thread = threading.Thread(target=cleanup_tmp_dir)
 cleanup_thread.start()
-    
+
 
 # Launch the Gradio app
 if __name__ == "__main__":