CosMo.pytorch | Official Implementation of CoSMo : Content-Style Modulation
kandi X-RAY | CosMo.pytorch Summary
kandi X-RAY | CosMo.pytorch Summary
CosMo.pytorch is a Python library. CosMo.pytorch has no bugs, it has no vulnerabilities, it has build file available and it has low support. However CosMo.pytorch has a Non-SPDX License. You can download it from GitHub.
Official Implementation of CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback, Seungmin Lee*, Dongwan Kim*, Bohyung Han. *(denotes equal contribution). Paper | Poster | 5 min Video.
Official Implementation of CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback, Seungmin Lee*, Dongwan Kim*, Bohyung Han. *(denotes equal contribution). Paper | Poster | 5 min Video.
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Support
CosMo.pytorch has a low active ecosystem.
It has 55 star(s) with 10 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 13 have been closed. On average issues are closed in 22 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CosMo.pytorch is current.
Quality
CosMo.pytorch has no bugs reported.
Security
CosMo.pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CosMo.pytorch has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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CosMo.pytorch releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed CosMo.pytorch and discovered the below as its top functions. This is intended to give you an instant insight into CosMo.pytorch implemented functionality, and help decide if they suit your requirements.
- Train one epoch
- Update gradients
- Reset gradients
- Performs a single step
- Create a dictionary of models
- Create a TextEncoder instance
- Create image lower encoder
- Return a transformer factory
- Forward computation
- Creates a vocab
- Log the best value for a given step
- Get original image
- Create a vocabulary from a list of txt files
- Returns a merged experiment configuration
- Creates a vocabulary from datasets
- Creates a text transform dict
- Return the Evaluator class
- Create a vocabulary from a list of tokens
- Create image transform
- Calculate recall at most k
- Forward transform using sigmoid
- Run the training
- Forward forward computation
- Set up the wandb experiment
- Create a dictionary of model parameters
- Create Dataset
Get all kandi verified functions for this library.
CosMo.pytorch Key Features
No Key Features are available at this moment for CosMo.pytorch.
CosMo.pytorch Examples and Code Snippets
No Code Snippets are available at this moment for CosMo.pytorch.
Community Discussions
No Community Discussions are available at this moment for CosMo.pytorch.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CosMo.pytorch
Install torch and torchvision via following command (CUDA10).
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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