Error with Image OpenCV(4.8.1)

[Cheety]

any idea what's wrong? i get this after image upload

` main - ERROR - Error in engine: Failed to modify image: OpenCV(4.8.1) /io/opencv/modules/imgproc/src/imgwarp.cpp:2729: error: (-215:Assertion failed) src.cols >0 && src.rows > 0 in function 'warpAffine'

2024-11-23 23:47:44,251 - main - ERROR - Full traceback:
Traceback (most recent call last):
File "/workspace/FacePoke/engine.py", line 209, in transform_image
mask_ori = await asyncio.to_thread(prepare_paste_back,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/asyncio/threads.py", line 25, in to_thread
return await loop.run_in_executor(None, func_call)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/FacePoke/liveportrait/utils/crop.py", line 402, in prepare_paste_back
mask_ori = _transform_img(mask_crop, crop_M_c2o, dsize)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/FacePoke/liveportrait/utils/crop.py", line 33, in _transform_img
return cv2.warpAffine(img, M[:2, :], dsize=_dsize, flags=flags)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^`

[Sakurajima-Pang]

I have a similar problem
cv2.error: OpenCV(4.8.1) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\imgwarp.cpp:2729: error: (-215:Assertion failed) src.cols > 0 && src.rows > 0 in function 'cv::warpAffine'

[Sakurajima-Pang]

I use the integration package made by others (the environment and dependencies are packaged), which can only identify objects, but cannot be modified. At the same time, the same error is reported. Maybe our hardware has some problems. I use gtx1650, CUDA12.7、cuda12.6，torch2.5.1-cu12.4-cp310
FutureWarning: rcondparameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to passrcond=None, to keep using the old, explicitly pass rcond=-1. P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4