torch-fidelity
High-fidelity performance metrics for generative models in PyTorch (by toshas)
trajectopy-core
Trajectopy - Trajectory Evaluation in Python (by gereon-t)
torch-fidelity | trajectopy-core | |
---|---|---|
3 | 1 | |
872 | 1 | |
- | - | |
8.1 | 9.2 | |
3 months ago | 11 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
torch-fidelity
Posts with mentions or reviews of torch-fidelity.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-10.
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[D] A better way to compute the Fréchet Inception Distance (FID)
The Fréchet Inception Distance (FID) is a widespread metric to assess the quality of the distribution of a image generative model (GAN, Stable Diffusion, etc.). The metric is not trivial to implement as one needs to compute the trace of the square root of a matrix. In all PyTorch repositories I have seen that implement the FID (https://github.com/mseitzer/pytorch-fid, https://github.com/GaParmar/clean-fid, https://github.com/toshas/torch-fidelity, ...), the authors rely on SciPy's sqrtm to compute the square root of the matrix, which is unstable and slow.
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[D] Are there any good FID and KID metrics implementations existing that are compatible with pytorch?
Try torch-fidelity : https://github.com/toshas/torch-fidelity
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How to compute Inception score for 3d GAN
You can, but two ingredients are required: a rich pretrained feature extractor for your data to replace InceptionV3 pretrained on ImageNet, and https://github.com/toshas/torch-fidelity, which can be used with custom feature extractors (also supports FID and KID).
trajectopy-core
Posts with mentions or reviews of trajectopy-core.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-28.
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Trajectory Evaluation in Python - Update
The first, called trajectopy, stands as a full-fledged application featuring a PyQt6-based graphical user interface (GUI). This GUI-driven platform simplifies trajectory-related tasks and offers an intuitive user experience. For those desiring a more in-depth approach, there is trajectopy-core. This backend implementation without any PyQt6 dependencies provides essential functionality e.g. for computing absolute trajectory error (ATE) and relative pose error (RPE).
What are some alternatives?
When comparing torch-fidelity and trajectopy-core you can also consider the following projects:
evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
rexmex - A general purpose recommender metrics library for fair evaluation.
py-motmetrics - :bar_chart: Benchmark multiple object trackers (MOT) in Python
pytorch-fid - Compute FID scores with PyTorch.
trajectopy - Trajectopy - Trajectory Evaluation in Python
clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
avalanche - Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
ZnH5MD - ZnH5MD - High Performance Interface for H5MD Trajectories
torch-fidelity vs evaluate
trajectopy-core vs rexmex
torch-fidelity vs rexmex
trajectopy-core vs py-motmetrics
torch-fidelity vs pytorch-fid
trajectopy-core vs trajectopy
torch-fidelity vs clean-fid
trajectopy-core vs avalanche
torch-fidelity vs avalanche
trajectopy-core vs datasets
torch-fidelity vs trajectopy
trajectopy-core vs ZnH5MD