Open p0mad opened 1 year ago
What CPU and GPU do you use?
2080ti 2x 8Gb vRAM
Have the bug appeared multiple times?
DWPose use RAM instead of VRAM as pre-compiled cv2 only supports the CPU. How much RAM do your machine have and do you remember how much free RAM left?
Have the bug appeared multiple times?
Sorry for late reply. its the third time!
How much RAM do your machine have
It has 96GB RAM
the left was about 50
@p0mad I think this bug is related to the underlying C++ in cv2. Just a guess but the cause may be conflicts between opencv packages. Try removing any package relating to opencv then install opencv-python>=4.8.0
Alternatively, I will try to convert DWPose's onnx model to PyTorch.
Alternatively, I will try to convert DWPose's onnx model to PyTorch.
Thats really the best option ( GPU mode)
Hi again, Even if the Dw does not through an error and remove it but the problem persists ... i guess it loads this checkpoint as much as i create images! i always see such thing on my terminal while generating images but no other nodes does that!
In my opinion the problem was leaking memory using this one: I would be glad to know your ...
load checkpoint from local path: D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\ckpts\models--lllyasviel--Annotators\snapshots\982e7edaec38759d914a963c48c4726685de7d96\upernet_global_small.pth
Hi
I get error after generating about 90-130 images using API! I have enough Memory,CPU and vRAM!
Speed: 15.6ms preprocess, 15.6ms inference, 0.0ms postprocess per image at shape (1, 3, 640, 640) !!! Exception during processing !!! Traceback (most recent call last): File "D:\sl\win\Control\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\sl\win\Control\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\sl\win\Control\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\node_wrappers\dwpose.py", line 28, in estimate_pose out = common_annotator_call(model, image, include_hand=detect_hand, include_face=detect_face, include_body=detect_body) File "D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\utils.py", line 28, in common_annotator_call np_result = model(np_image, output_type="np", kwargs) File "D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\src\controlnet_aux\dwpose__init.py", line 204, in call poses = self.detect_poses(input_image) File "D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\src\controlnet_aux\dwpose\init.py", line 180, in detect_poses keypoints_info = self.dw_pose_estimation(oriImg.copy()) File "D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\src\controlnet_aux\dwpose\wholebody.py", line 33, in call__ keypoints, scores = inference_pose(self.session_pose, det_result, oriImg) File "D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\src\controlnet_aux\dwpose\cv_ox_pose.py", line 352, in inference_pose outputs = inference(session, resized_img) File "D:\sl\win\Control\custom_nodes\comfyui_controlnet_aux\src\controlnet_aux\dwpose\cv_ox_pose.py", line 70, in inference outputs = sess.forward(outNames) cv2.error: bad allocation
Thanks Best regards