I'm running a P400 and switched from DS a couple of weeks ago. It seems to be working fine and the analysis times seem to be around 25% faster (using IPCam-General and IPCam-Combined). I've also disabled the face and scene modules.
How much memory? This is the result I had with 2Gb
running Python.
Scene detection appears to work. Objects and Faces not predicted. Nvidia T400 GPU
2022-08-26 10:03:28: retrieved detection_queue command
2022-08-26 10:03:28 [Exception: Exception]: Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\AnalysisLayer\Vision\intelligencelayer\detection.py", line 83, in objectdetection_callback
det = detector.predictFromImage(img, threshold)
File "C:\Program Files\CodeProject\AI\AnalysisLayer\Vision\intelligencelayer\.\process.py", line 62, in predictFromImage
pred = self.model(img, augment=False)[0]
File "C:\Program Files\CodeProject\AI\AnalysisLayer\bin\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\AnalysisLayer\Vision\intelligencelayer\.\models\yolo.py", line 136, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\AnalysisLayer\Vision\intelligencelayer\.\models\yolo.py", line 159, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\AnalysisLayer\bin\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\AnalysisLayer\Vision\intelligencelayer\.\models\yolo.py", line 68, in forward
y[..., 0:2] = (y[..., 0:2] * 2 + self.grid
) * self.stride # xy
RuntimeError: The size of tensor a (32) must match the size of tensor b (28) at non-singleton dimension 2