Comments (2)
Z863058
commented on May 23, 2024
4
import pickle
from functools import partial
pickle.load = partial(pickle.load, encoding="latin1")
pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")
retinanet = torch.load(parser.model, map_location=lambda storage, loc: storage.cuda(0), pickle_module=pickle)
from pytorch-retinanet.
ekmb
commented on May 23, 2024
I'm facing the same issue.
Were you able to run 'bash build.sh' without errors? If so, what Pytorch and CUDA versions are you using? Thanks!
from pytorch-retinanet.
Related Issues (20)
- Loss curve
- How to specify GPU card number for training
- mAP Problem/question
- Question about NMS step in inference phase? HOT 1
- Question about input size HOT 1
- Possible discrepancy in FocalLoss calculation HOT 2
- Yolo format HOT 1
- multi-GPU training
- evaluate question
- Training Issue HOT 3
- Is batch testing possible? HOT 1
- Save module every time?
- Failure to switch to ONNX HOT 1
- IndexError: index -1 is out of bounds for axis 0 with size 0 HOT 3
- Early Stopping
- Alternative dataset
- i can't find the CSVGenerator,could you please tell me where is it? thank you
- Why is AP so low?（No changes were made. ）
- Can we enhance retinanet model??
- Is there any training logs?
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from pytorch-retinanet.