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(venv) PS C:\Users\larry\Desktop\python\grounded> python app.py
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\timm\models\layers\__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
  warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
C:\Users\larry\Desktop\python\grounded\GroundingDINO\groundingdino\models\GroundingDINO\ms_deform_attn.py:31: UserWarning: Failed to load custom C++ ops. Running on CPU mode Only!
  warnings.warn("Failed to load custom C++ ops. Running on CPU mode Only!")
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:3527.)
  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
final text_encoder_type: bert-base-uncased
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\utils.py:1028: UserWarning: Expected 1 arguments for function <function <lambda> at 0x0000016538A20DC0>, received 0.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\utils.py:1032: UserWarning: Expected at least 1 arguments for function <function <lambda> at 0x0000016538A20DC0>, received 0.
  warnings.warn(
* Running on local URL:  http://0.0.0.0:7860
* To create a public link, set `share=True` in `launch()`.
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\transformers\modeling_utils.py:1614: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\transformers\modeling_utils.py:1614: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
Traceback (most recent call last):
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events
    response = await route_utils.call_process_api(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\blocks.py", line 2220, in process_api
    result = await self.call_function(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\blocks.py", line 1731, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2470, in run_sync_in_worker_thread
    return await future
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 967, in run
    result = context.run(func, *args)
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\utils.py", line 894, in wrapper
    response = f(*args, **kwargs)
  File "C:\Users\larry\Desktop\python\grounded\app.py", line 99, in segment
    vis[tint]=vis[tint]*0.4 + GREEN*0.6           # safer numeric ops
ValueError: operands could not be broadcast together with shapes (1809348,) (3,)
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\helpers.py:1015: UserWarning: Unexpected argument. Filling with None.
  warnings.warn("Unexpected argument. Filling with None.")
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\transformers\modeling_utils.py:1614: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\transformers\modeling_utils.py:1614: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\torch\utils\checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
Traceback (most recent call last):
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events
    response = await route_utils.call_process_api(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\blocks.py", line 2220, in process_api
    result = await self.call_function(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\blocks.py", line 1731, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2470, in run_sync_in_worker_thread
    return await future
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 967, in run
    result = context.run(func, *args)
  File "C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\utils.py", line 894, in wrapper
    response = f(*args, **kwargs)
  File "C:\Users\larry\Desktop\python\grounded\app.py", line 99, in segment
    vis[tint]=vis[tint]*0.4 + GREEN*0.6           # safer numeric ops
ValueError: operands could not be broadcast together with shapes (1809348,) (3,)
C:\Users\larry\Desktop\python\grounded\venv\lib\site-packages\gradio\helpers.py:1015: UserWarning: Unexpected argument. Filling with None.
  warnings.warn("Unexpected argument. Filling with None.")