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#VCIP2017
URL: https://arxiv.org/pdf/1710.11445.pdf
Keyword: DeepHashing, TripleNet, Loss Function
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Hi,
Im trying your method on different datraset, but getting bellow error.
please help me to fix
/content/ReID-MGN-master/ReID-MGN-master/utils/TripletLoss.py:56: UserWarning: This overload of…
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```
# Compute pairwise distance, replace by the official when merged
dist = torch.pow(inputs, 2).sum(dim=1, keepdim=True).expand(n, n)
dist = dist + dist.t()
dist.addmm_(…
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Add two-line code to improve performance slightly. Just name it as **Harder** Example Mining :)
Change $L = max(min(D_{an}) - max(D_{ap}) + m, 0)$ to $L = max(0.8*min(D_{an}) - 1.2*max(D_{ap}) + m,…
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error occur in this line
model = load_model('facenet_model/model.h5', custom_objects={'triplet_loss': triplet_loss})
can u plz tell me how can i resolve this error
-------------------------------…
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# Face recognition
---
# Face verification vs. face recognition
## Verification (Binary Classification)
- Input image, name/ID
- Output whether the input image is that of the claimed person
## R…
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I'm trying to train a GeneratorUNet on a server with an A6000. On the first batch, it hangs and then throws this error:
```
.venv/lib/python3.12/site-packages/tinygrad/runtime/support/hcq.py", lin…
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Actually, I am trying to implement the same model but my dataset is very big. So, can you help me with the batch-wise training of the same.
ghost updated
5 years ago
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So we have a (shared) embedding network that receives 1 input and outputs 1 embedding. We then build a triplet loss network around it that takes 3 inputs and outputs the loss which we train to minimiz…
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Traceback (most recent call last):
File "keras_server.py", line 353, in
load_FRmodel()
File "keras_server.py", line 94, in load_FRmodel
model = load_model('models/model.h5', custom_ob…