Я пытаюсь обучить модель yolo-v3 из этого репозитория https://github.com/eriklindernoren/PyTorch-YOLOv3 в моем настраиваемом наборе данных фигур, но постоянно получаю сообщение об ошибке «RuntimeError: ошибка CUDA: срабатывание подтверждения на стороне устройства»
Я попытался найти решение и попробовал несколько вещей, предложенных в разных ответах (например, исправление индексации классов в аннотациях), но ошибка сохраняется.
Я следую описанию в файле readme изрепо для обучения на пользовательском наборе данных, и я настроил custom.data и data / custom / соответственно.
Я продолжаю получать этот вывод.
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Traceback (most recent call last):
File "train.py", line 105, in <module>
loss, outputs = model(imgs, targets)
File "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
File "D:\Documents\GP\Code\TorchYolo\PyTorch-YOLOv3\models.py", line 259, in forward
x, layer_loss = module[0](x, targets, img_dim)
File "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
File "D:\Documents\GP\Code\TorchYolo\PyTorch-YOLOv3\models.py", line 188, in forward
ignore_thres=self.ignore_thres,
File "D:\Documents\GP\Code\TorchYolo\PyTorch-YOLOv3\utils\utils.py", line 318, in build_targets
iou_scores[b, best_n, gj, gi] = bbox_iou(pred_boxes[b, best_n, gj, gi], target_boxes, x1y1x2y2=False)
File "D:\Documents\GP\Code\TorchYolo\PyTorch-YOLOv3\utils\utils.py", line 199, in bbox_iou
b1_x1, b1_x2 = box1[:, 0] - box1[:, 2] / 2, box1[:, 0] + box1[:, 2] / 2
RuntimeError: CUDA error: device-side assert triggered
с единственной изменяющейся вещью:«2» в индексе массива при работе с индексом метки класса train.jpg
b1_x1, b1_x2 = box1[:, 0] - box1[:, 2] / 2, box1[:, 0] + box1[:, 2] / 2