Comments (2)
kazuto1011
commented on June 3, 2024
Q: The pre-trained model is used for training VOC?
Yes, the official DeepLab v2 is also initialized on COCO and fine-tuned on Pascal VOC.
deeplabv1_resnet101-coco.pth is converted from the officially provided init.caffemodel.
Q: Can I directly change the path to replace the init model?
Yes, it's okay if your ImageNet weights are compatible with this repository re-implemented from the Caffe ResNet. For instance, torchvision ResNet is not compatible (#61, #67, #88).
You have an option of the on-the-fly modification (#33).
from deeplab-pytorch.
woqiaow
commented on June 3, 2024
Thank you for your quick reply! Very clear.
from deeplab-pytorch.
Related Issues (20)
- only 20% mIou HOT 4
- The results of VOC2012 val dataset HOT 2
- cannot find setup_voc12.sh
- how to do the augmentation for training? HOT 2
- what do we mean by unary? HOT 2
- custom dataset HOT 2
- get_dataset HOT 2
- The training result is poor after using the weak supervision data set HOT 4
- How to convert the generated npy file into an image HOT 4
- A simple question about test on VOC HOT 1
- COCO number of classes HOT 4
- Question VOC HOT 1
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- Training Deeplab-pytorch on VOC2012 raises metaclass conflict error with TensorFlow 1.10.0 and ANTLR downgrade to 4.8
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- Extract Feature map HOT 2
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