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你好,在你的论文里,你说 “We first trained the CoarseNet with 10 epochs using a batch size of 16, and then trained the RefineNet with 15 epochs us- ing a batch size of 8. The learning rate was initially set to 0.…
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模型很好用!好像RIFE_HDv3的效果更好,RIFE_HDv3细节上和论文的RIFE有什么不同呢?
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Hi @purvaten
By referring to the readme, I was able to download all the data and checkpoints except for ```vposer_grab.pt```.
The ```flex.yaml``` says
```best_mnet_grab: 'flex/pretrained_models…
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你好
我尝试利用ECCV2022-RIFE/train脚本微调v4.6模型,但是生成的结果完全不如v4.6的效果。请问您在训练v4.6版本时所用的损失函数和ECCV2022-RIFE/RIFE.py中的损失函数相同吗。我观察到IFNet_HDv3在推理时fastmode=True,那么在训练时是否开启fastmode。
感谢您的回答
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Hi, I am following your tips in the closed issue #42 Best Model:
Load the entire weights file you shared in repo; freeze the decoder part; then start training on my own dataset.
However, after a few…
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Thank you very much for your open source work. Do you have a pre-training model? I want to quickly verify the effect of the model in my use scenario
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Hi,
Thank you for the interesting work and the extensive experiments. Your depth results are based on the DPT head in the paper. In the colab, you use the spatial adapter head for inference. I was wo…
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Hi Fuzail,
could you please share some information about the best model you got? I would like to know:
- epoch_end
- epoch in which you got the best model
- metrics values on training and validat…
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I'm trying to export from `pth` to `ONNX` format:
```
import torch
from torch.autograd import Variable
import cv2
import imgproc
from craft import CRAFT
# load net
net = CRAFT() # init…
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In the Appendix of your paper, I do not see much difference between the results with or without RefineNet, but RefineNet increase much computational cost.
So the only reason to use RefineNet is to g…
kyz20 updated
2 years ago