我正在尝试使用此存储库和自定义数据集来训练YOLOv3 https://github.com/ultralytics/yolov3 我使用了自述文件yolov3-spp-ultralytics.pt中推荐的权重 当我训练时,我得到以下错误: Traceback (most recent call last):
File "yolov3/train.py", line 431, in <module>
train(hyp) # train normally
File "yolov3/train.py", line 119, in t
CUDA status Error: file: ./src/dark_cuda.c : () : line: 39 : build time: Feb 9 2021 - 13:15:44
CUDA Error: no CUDA-capable device is detected
CUDA Error: no CUDA-capable device is detected: Bad file descriptor
darknet: ./src/utils.c:331: error: Assertion `0' failed.
我在got上训练了一个关于自定义数据的yolov3模
我试图对部署在yolov3服务上的TensorFlow模型进行多个图像批处理推断。我可以成功地对单个图像进行推断,但是当我传递多个批时,会得到一个错误
InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
status = StatusCode.INVALID_ARGUMENT
details = "Can not squeeze dim[0], expected a dimension of 1, got 6
[[{{node yolov3/yolo_nms/Squeeze}