ltdrdata/comfyui-impact-subpack

This extension serves as a complement to the Impact Pack, offering features that are not deemed suitable for inclusion by default in the ComfyUI Impact Pack

comfyui-impact-subpack's Issues

Still cannot use UltralyticsDetectorProvider node

I have ComfyUI-Impact-Pack/impact_subpack, and also installed ultralytics manually, but still cannot use UltralyticsDetectorProvider node.

Problem With CUDA

Hello, I tried, use with the cuda version 11 and 12, I also installed the components and updated the paths, uninstalled and installed everything again, but when everything is working, this appears when trying to useit.

Error occurred when executing BboxDetectorSEGS:

Could not run 'torchvision::nms' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::nms' is only available for these backends: [CPU, QuantizedCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMeta, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher].

CPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\cpu\nms_kernel.cpp:112 [kernel]
QuantizedCPU: registered at C:\Users\circleci\project\torchvision\csrc\ops\quantized\cpu\qnms_kernel.cpp:124 [kernel]
BackendSelect: fallthrough registered at ..\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:144 [backend fallback]
FuncTorchDynamicLayerBackMode: registered at ..\aten\src\ATen\functorch\DynamicLayer.cpp:491 [backend fallback]
Functionalize: registered at ..\aten\src\ATen\FunctionalizeFallbackKernel.cpp:280 [backend fallback]
Named: registered at ..\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at ..\aten\src\ATen\ConjugateFallback.cpp:17 [backend fallback]
Negative: registered at ..\aten\src\ATen\native\NegateFallback.cpp:19 [backend fallback]
ZeroTensor: registered at ..\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:63 [backend fallback]
AutogradOther: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:30 [backend fallback]
AutogradCPU: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:34 [backend fallback]
AutogradCUDA: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:42 [backend fallback]
AutogradXLA: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:46 [backend fallback]
AutogradMPS: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:54 [backend fallback]
AutogradXPU: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:38 [backend fallback]
AutogradHPU: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:67 [backend fallback]
AutogradLazy: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:50 [backend fallback]
AutogradMeta: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:58 [backend fallback]
Tracer: registered at ..\torch\csrc\autograd\TraceTypeManual.cpp:294 [backend fallback]
AutocastCPU: fallthrough registered at ..\aten\src\ATen\autocast_mode.cpp:487 [backend fallback]
AutocastCUDA: fallthrough registered at ..\aten\src\ATen\autocast_mode.cpp:354 [backend fallback]
FuncTorchBatched: registered at ..\aten\src\ATen\functorch\LegacyBatchingRegistrations.cpp:815 [backend fallback]
FuncTorchVmapMode: fallthrough registered at ..\aten\src\ATen\functorch\VmapModeRegistrations.cpp:28 [backend fallback]
Batched: registered at ..\aten\src\ATen\LegacyBatchingRegistrations.cpp:1073 [backend fallback]
VmapMode: fallthrough registered at ..\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback]
FuncTorchGradWrapper: registered at ..\aten\src\ATen\functorch\TensorWrapper.cpp:210 [backend fallback]
PythonTLSSnapshot: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:152 [backend fallback]
FuncTorchDynamicLayerFrontMode: registered at ..\aten\src\ATen\functorch\DynamicLayer.cpp:487 [backend fallback]
PythonDispatcher: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:148 [backend fallback]

File "C:\ai\ComfyUI\ComFyUI\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\ai\ComfyUI\ComFyUI\ComfyUI\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\ai\ComfyUI\ComFyUI\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\ai\ComfyUI\ComFyUI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\detectors.py", line 83, in doit
segs = bbox_detector.detect(image, threshold, dilation, crop_factor, drop_size)
File "C:\ai\ComfyUI\ComFyUI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\subpack\impact\subcore.py", line 93, in detect
detected_results = inference_bbox(self.bbox_model, core.tensor2pil(image), threshold)
File "C:\ai\ComfyUI\ComFyUI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\subpack\impact\subcore.py", line 27, in inference_bbox
pred = model(image, conf=confidence, device=device)
File "C:\Python310\lib\site-packages\ultralytics\engine\model.py", line 98, in call
return self.predict(source, stream, **kwargs)
File "C:\Python310\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Python310\lib\site-packages\ultralytics\engine\model.py", line 246, in predict
return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
File "C:\Python310\lib\site-packages\ultralytics\engine\predictor.py", line 197, in call
return list(self.stream_inference(source, model, *args, **kwargs)) # merge list of Result into one
File "C:\Python310\lib\site-packages\torch\utils_contextlib.py", line 35, in generator_context
response = gen.send(None)
File "C:\Python310\lib\site-packages\ultralytics\engine\predictor.py", line 257, in stream_inference
self.results = self.postprocess(preds, im, im0s)
File "C:\Python310\lib\site-packages\ultralytics\models\yolo\segment\predict.py", line 18, in postprocess
p = ops.non_max_suppression(preds[0],
File "C:\Python310\lib\site-packages\ultralytics\utils\ops.py", line 265, in non_max_suppression
i = torchvision.ops.nms(boxes, scores, iou_thres) # NMS
File "C:\Python310\lib\site-packages\torchvision\ops\boxes.py", line 41, in nms
return torch.ops.torchvision.nms(boxes, scores, iou_threshold)
File "C:\Python310\lib\site-packages\torch_ops.py", line 502, in call
return self._op(*args, **kwargs or {})

How to get the UltralyticsDetectorProvider node?

I installed ComfyUI-Impact-Pack and set mmdet_skip = False, but I can't use the UltralyticsDetectorProvider node.

How to install?

Hi, I don't know how impact-subpack. Can you explain.

How to use this subpack

Hey Bro, how could I use this subpack？Pls help. Thank u