src is not a numpy array, neither a scalar

[SoftologyPro]

When I start the latest demo.py I get the src is not a numpy array, neither a scalar error. Full stats...

D:\Tests\Omni-Zero\omni-zero\venv\lib\site-packages\diffusers\models\transformers\transformer_2d.py:34: FutureWarning: `Transformer2DModelOutput` is deprecated and will be removed in version 1.0.0. Importing `Transformer2DModelOutput` from `diffusers.models.transformer_2d` is deprecated and this will be removed in a future version. Please use `from diffusers.models.modeling_outputs import Transformer2DModelOutput`, instead.
  deprecate("Transformer2DModelOutput", "1.0.0", deprecation_message)
D:\Tests\Omni-Zero\omni-zero\venv\lib\site-packages\controlnet_aux\mediapipe_face\mediapipe_face_common.py:7: UserWarning: The module 'mediapipe' is not installed. The package will have limited functionality. Please install it using the command: pip install 'mediapipe'
  warnings.warn(
.gitattributes: 1.52kB [00:00, ?B/s]
1k3d68.onnx: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉| 144M/144M [00:04<00:00, 29.1MB/s]
2d106det.onnx: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5.03M/5.03M [00:00<00:00, 14.6MB/s]
genderage.onnx: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.32M/1.32M [00:00<00:00, 82.6MB/s]
glintr100.onnx: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉| 261M/261M [00:04<00:00, 60.0MB/s]
scrfd_10g_bnkps.onnx: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16.9M/16.9M [00:00<00:00, 26.5MB/s]
Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1', 'sdpa_kernel': '0', 'fuse_conv_bias': '0'}, 'CPUExecutionProvider': {}}
find model: ./models\antelopev2\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0
Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1', 'sdpa_kernel': '0', 'fuse_conv_bias': '0'}, 'CPUExecutionProvider': {}}
find model: ./models\antelopev2\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0
Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1', 'sdpa_kernel': '0', 'fuse_conv_bias': '0'}, 'CPUExecutionProvider': {}}
find model: ./models\antelopev2\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0
Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1', 'sdpa_kernel': '0', 'fuse_conv_bias': '0'}, 'CPUExecutionProvider': {}}
find model: ./models\antelopev2\glintr100.onnx recognition ['None', 3, 112, 112] 127.5 127.5
Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'device_id': '0', 'has_user_compute_stream': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'user_compute_stream': '0', 'gpu_external_alloc': '0', 'gpu_mem_limit': '18446744073709551615', 'enable_cuda_graph': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'prefer_nhwc': '0', 'use_ep_level_unified_stream': '0', 'use_tf32': '1', 'sdpa_kernel': '0', 'fuse_conv_bias': '0'}, 'CPUExecutionProvider': {}}
find model: ./models\antelopev2\scrfd_10g_bnkps.onnx detection [1, 3, '?', '?'] 127.5 128.0
set det-size: (640, 640)
D:\Tests\Omni-Zero\omni-zero\venv\lib\site-packages\huggingface_hub\file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
D:\Tests\Omni-Zero\omni-zero\venv\lib\site-packages\torch\functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\aten\src\ATen\native\TensorShape.cpp:4316.)
  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
Loading pipeline components...: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:03<00:00,  2.16it/s]
Traceback (most recent call last):
  File "D:\Tests\Omni-Zero\omni-zero\demo.py", line 37, in <module>
    main()
  File "D:\Tests\Omni-Zero\omni-zero\demo.py", line 14, in main
    images = omni_zero.generate(
  File "D:\Tests\Omni-Zero\omni-zero\omni_zero.py", line 102, in generate
    depth_image = self.zoe_depth_detector(base_image, detect_resolution=resolution, image_resolution=resolution)
  File "D:\Tests\Omni-Zero\omni-zero\venv\lib\site-packages\controlnet_aux\zoe\__init__.py", line 50, in __call__
    input_image = resize_image(input_image, detect_resolution)
  File "D:\Tests\Omni-Zero\omni-zero\venv\lib\site-packages\controlnet_aux\util.py", line 96, in resize_image
    img = cv2.resize(input_image, (W, H), interpolation=cv2.INTER_LANCZOS4 if k > 1 else cv2.INTER_AREA)
cv2.error: OpenCV(4.9.0) :-1: error: (-5:Bad argument) in function 'resize'
> Overload resolution failed:
>  - src is not a numpy array, neither a scalar
>  - Expected Ptr<cv::UMat> for argument 'src'

If it helps, here is a batch file to do the install. The only real change I make is to install Torch 2.7.0 at the end of the install to support 4090/5090 GPUs.

@echo off

echo *** %time% *** Deleting omni-zero directory if it exists
if exist omni-zero\. rd /S /Q omni-zero

echo *** %time% *** Cloning repository
git clone --recursive https://github.com/okaris/omni-zero.git
cd omni-zero

echo *** %time% *** Creating venv
python -m venv venv

echo *** %time% *** Activating venv
call venv\scripts\activate.bat

echo *** %time% *** Upgrading pip
python.exe -m pip install --upgrade pip
pip install wheel==0.45.1
pip install setuptools==65.5.0
pip install ninja==1.11.1.4

echo *** %time% *** Installing requirements
pip install -r requirements.txt

echo *** %time% *** Installing GPU torch
pip uninstall -y torch
pip uninstall -y torch
pip install --no-cache-dir --ignore-installed --force-reinstall --no-warn-conflicts torch==2.7.0+cu128 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128

call venv\scripts\deactivate.bat
cd ..
echo *** %time% *** Finished Omni-Zero install
echo.
echo Check the stats for any errors.  Do not assume it worked.
pause

And a run.bat to run in the same directory as the above install.bat to start it.

@echo off
cd omni-zero
call venv\scripts\activate.bat
python demo.py
call venv\scripts\deactivate.bat
cd..

Any ideas on how to fix that error?