rm easy

app.py

@@ -192,11 +192,11 @@ with gr.Blocks(title=title, theme=gr.themes.Glass()) as interface:
 
     ### USER-SPECIFIC VARIABLES
     dataset_placeholder = gr.State(get_dataset_on_DEVICE_STR("Natural"))
-    available_physics_placeholder = gr.State(['MotionBlur_easy', 'MotionBlur_medium', 'MotionBlur_hard',
+    available_physics_placeholder = gr.State(['MotionBlur_medium', 'MotionBlur_hard',
                                               'GaussianBlur_easy', 'GaussianBlur_medium', 'GaussianBlur_hard'])
     # Issue giving directly a `torch.nn.module` to `gr.State(...)` since it has __call__ method
     # Solution: using lambda expression
-    physics_placeholder = gr.State(lambda: get_physics_on_DEVICE_STR("MotionBlur_easy"))
+    physics_placeholder = gr.State(lambda: get_physics_on_DEVICE_STR("MotionBlur_medium"))
     model_b_placeholder = gr.State(lambda: get_baseline_model_on_DEVICE_STR("DPIR"))
 
     print(f"[Render] CUDA max allocated: {torch.cuda.max_memory_allocated() / 1024**2:.2f} MB")