Comments (6)
Yes, it's planned.
But I didn't include a config file for that, because I need to test if the triplet loss works correctly after migrating to this open project. Actually the triplet loss function is exactly for that.
- unit-test triplet loss
- fix train.py
- write a config template for the now-playing mode: 2 sec input (original) and 1sec input for modified version.
- unit-test nnfp.py (done)
- test-drive of training
Not today, but I will make it soon!
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Hi @mimbres sorry to bring this up, what's the actual status of the project? Are you still working on it? Do you plan to release this code?
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@guillemcortes Sorry, somehow I forgot about this. I'll update it in a week.
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@mimbres is the code uploaded?
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@krishvishal No, it's still being delayed. I'll notify when it's updated.
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@krishvishal @guillemcortes Now-playing
model with Online (semi-hard) triplet loss
is now available.
python run.py train CHECKPOINT_NAME -c now_playing
Results and pre-trained model will be available in this week.
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Related Issues (20)
- Unable to open the file "../demo_template.ipynb" HOT 1
- Speed of generating fingereprints from custom source HOT 8
- Questions about inquiries HOT 8
- Could you please provide the checksum of fma_full only? HOT 8
- Why the loss computed during training is NanοΌ HOT 9
- permission denied for building Docker Custom Image HOT 5
- FileNotFoundError: [Errno 2] No such file or directory: './logs/emb/CHECKPOINT_NAME/CHECKPOINT_INDEX/query_shape.npy' HOT 4
- IS THIS REPOSITORY HELPFUL FOR FOLLOWING SITUATION HOT 1
- Dimension of Zt HOT 7
- Getting training loss value as nan and val loss as nan HOT 8
- positve pairs and negitive pairs? HOT 1
- question: my modle train loss:nan HOT 2
- Comparing short audio files HOT 1
- finetuning on short audios HOT 5
- Evaluation with custom dataset HOT 7
- Fingerprint generation from custom dataset HOT 2
- Reported train, val, test split sizes vs actual FMA size HOT 3
- Questions Regarding Custom Data Testing in Audio Fragment Identification HOT 1
- Model Definition Front Strides HOT 1
- UnboundLocalError in run.py during training HOT 3
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