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Hi,everyone.I'm having a problem with the replication of "Training Data" part 4 "Fine-turn the above Softmax model with Triplet loss".
CUDA_VISIBLE_DEVICES='0,1,2,3' python -u train.py --network m1 …
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Is there a way to plot validation loss curves along with the training loss during the Training process?
Here is my train method:
```
def train_model(model, criterion, optimizer, scheduler, num_…
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Hello,
I was wondering if it was possible to use a hard or semi hard triplet loss when you only have triplets (anchor, positive, negative) and no information about the classes each sample belongs …
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The current implementation uses `tf.data` for the input pipeline and only create random batches.
The triplet loss implementation accepts the following inputs:
```python
def batch_all_triplet_lo…
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Hello, I'm facing the following issue while trying to Fine-tune the Softmax model with Triplet loss:
Command: CUDA_VISIBLE_DEVICES='0,1,2,3' python -u train.py --network m1 --loss triplet --lr 0.005 …
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Dear Dr. Zhong,
I have been trying to test HamGNN for a system of interest, but encountered issues to reduce the training error. See the following correlation plot. I would really appreciate if you h…
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Hi author,
First and foremost, I want to express my sincere thanks for your excellent work.
For triplet loss training, I'm not sure how to log the Similarly evaluator results. I tried the followi…
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When I run the test.py, the following error occurred.
```
python3 test.py --config_file configs/market1501_gps_softmax_triplet_center.yml MODEL.PRETRAIN_CHOICE "('self')" TEST.WEIGHT "('pretrained…
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Question: How do I get the embeddings after fitting using triplet loss in this example: https://mlverse.github.io/luz/articles/examples/mnist-triplet.html ?
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Dear Author,
Thank you for your contribution.
Here I have run your code, and I found that the model only can converge on pretrained pattern with triplet loss. When I run program with non-pretrained…