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there is a error when i run track.py with a video:
Traceback (most recent call last):
File "/root/4D-Humans/PHALP-master/phalp/trackers/PHALP.py", line 197, in track
pred_bbox, pred_bbox_pad, pred_masks, pred_scores, pred_classes, gt_tids, gt_annots = self.get_detections(image_frame, frame_name, t_, additional_data, measurments)
File "/root/4D-Humans/track.py", line 161, in get_detections
) = super().get_detections(image, frame_name, t_, additional_data, measurments)
File "/root/4D-Humans/PHALP-master/phalp/trackers/PHALP.py", line 333, in get_detections
outputs = self.detector(image)
File "/root/4D-Humans/PHALP-master/phalp/utils/utils_detectron2.py", line 216, in call
predictions = self.model([inputs])[0]
File "/root/miniconda3/envs/ENV/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 150, in forward
return self.inference(batched_inputs)
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 203, in inference
images = self.preprocess_image(batched_inputs)
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
images = [(x - self.pixel_mean) / self.pixel_std for x in images]
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 228, in
images = [(x - self.pixel_mean) / self.pixel_std for x in images]
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
how can i resolve it?
The text was updated successfully, but these errors were encountered:
there is a error when i run track.py with a video:
Traceback (most recent call last):
File "/root/4D-Humans/PHALP-master/phalp/trackers/PHALP.py", line 197, in track
pred_bbox, pred_bbox_pad, pred_masks, pred_scores, pred_classes, gt_tids, gt_annots = self.get_detections(image_frame, frame_name, t_, additional_data, measurments)
File "/root/4D-Humans/track.py", line 161, in get_detections
) = super().get_detections(image, frame_name, t_, additional_data, measurments)
File "/root/4D-Humans/PHALP-master/phalp/trackers/PHALP.py", line 333, in get_detections
outputs = self.detector(image)
File "/root/4D-Humans/PHALP-master/phalp/utils/utils_detectron2.py", line 216, in call
predictions = self.model([inputs])[0]
File "/root/miniconda3/envs/ENV/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 150, in forward
return self.inference(batched_inputs)
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 203, in inference
images = self.preprocess_image(batched_inputs)
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image
images = [(x - self.pixel_mean) / self.pixel_std for x in images]
File "/root/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 228, in
images = [(x - self.pixel_mean) / self.pixel_std for x in images]
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with
TORCH_USE_CUDA_DSA
to enable device-side assertions.how can i resolve it?
The text was updated successfully, but these errors were encountered: