vincent-zhq / mrdf Goto Github PK
View Code? Open in Web Editor NEWCode for Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection
License: Apache License 2.0
Code for Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection
License: Apache License 2.0
Hello, when I was installing the environment, I found that many packages in the requirements.txt conflict with the environment, are the versions of the packages in there correct?
Hello, I'm interested in your work. Can you tell me on which type of graphics card the training was conducted and how much GPU usage there is for each card?
I'm unclear about your process for dividing the dataset; could you possibly provide the processed dataset?
For direct inference on Food101, we provide the pretrained checkpoint example here. The related dataset splits are also available
Is this a typo? @Vincent-ZHQ
When runing the code, I got this problem:
/anaconda3/envs/df116/lib/python3.9/site-packages/pytorch_lightning/utilities/data.py:98: UserWarning: Trying to infer the
batch_sizefrom an ambiguous collection. The batch size we found is 64. To avoid any miscalculations, use
self.log(..., batch_size=batch_size). warning_cache.warn( /anaconda3/envs/df116/lib/python3.9/site-packages/torchmetrics/functional/classification/precision_recall_curve.py:70: UserWarning: cumsum_cuda_kernel does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at ../aten/src/ATen/Context.cpp:82.) tps = torch.cumsum(target * weight, dim=0)[threshold_idxs] terminate called after throwing an instance of 'std::runtime_error' what(): tensorflow/compiler/xla/xla_client/computation_client.cc:280 : Missing XLA configuration Aborted (core dumped)
Hello, I notice that only 10% of the whole dataset is used in the code, does it mean that acc is also based on this part of the data?
And I want to test the model on the whole dataset, but there are some problems happened while loading the ckpt model: Missing key(s) in state_dict: "video classifier.0.weight", "audio classifier.0.weight". Was that model structure conflicts in the code and ckpt model?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.