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怎么对训练出来的模型转onnx，然后简化！！最主要还是简化，原模型转onnx在cpu耗时太长，需要简化。不知道怎么简化，用torch的简化会报错
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So, can you provide your accuracy on OTB or VOT? I reimplement the paper and use the same network with you, without imagenet pretrain or Youtube-BB dataset and get at most 0.52 auc on OTB2013.
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Traceback (most recent call last):
File "../../tools/demo.py", line 56, in
state = siamese_track(state, im, mask_enable=True, refine_enable=True) # track
File "/home/zhouwenzhang/SiamMask…
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This seems to be the most popular request, but requires some preprocessing of the images
**References**
- https://thedatamage.com/face-recognition-tensorflow-tutorial/
- https://machinelearni…
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class Siamese(nn.Module):
def __init__(self):
super(Siamese, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(1, 64, 10), # 64@96*96
nn.ReLU(in…
Tmcsn updated
5 years ago
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I try to prune the Siam-U-Net, and it needs 2 inputs because of its siamese structure, can nni support to compress such structure? If so, how should I set the `dummy_input` parameter in `ModelSpeedup`…
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please somebody tell me where can i get the images.txt ? Thanks a lot!
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CLIENT: Creating process /home/p920/anaconda3/envs/pytorch/bin/python -c "import sys; sys.path.append('/home/p920/vot-toolkit/native/trax/python');sys.path.append('/home/p920/vot-toolkit/tracker/exam…
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Maybe it is a naive questions (as I am not native to pyTorch).
When training as an example shown here (to the above loss mentioned):
```
model = SentenceTransformer('distilbert-base-nli-mean-to…
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while training the model getting bellow error. please suggest
opt = Namespace(batchsize=48, gpu_ids='0', name='data_aug', test_dir='market', use_dense=True, which_epoch='29')
opt.gpu_ids = 0
o…