hyperseg | HyperSeg - Official PyTorch Implementation | Machine Learning library

 by   YuvalNirkin Python Version: v1.0 License: CC0-1.0

kandi X-RAY | hyperseg Summary

kandi X-RAY | hyperseg Summary

hyperseg is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. hyperseg has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Example segmentations on the PASCAL VOC dataset.
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            kandi-support Support

              hyperseg has a low active ecosystem.
              It has 183 star(s) with 35 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 24 have been closed. On average issues are closed in 88 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hyperseg is v1.0

            kandi-Quality Quality

              hyperseg has 0 bugs and 0 code smells.

            kandi-Security Security

              hyperseg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              hyperseg code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              hyperseg is licensed under the CC0-1.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              hyperseg releases are available to install and integrate.
              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 hyperseg and discovered the below as its top functions. This is intended to give you an instant insight into hyperseg implemented functionality, and help decide if they suit your requirements.
            • Profile a model
            • Clips the summary of the flops summary
            • Count the number of parameters
            • Forward layer forward
            • Get image coordinates
            • Generate grid coordinates
            • Load a model
            • Create an object from a Python object
            • Perform a forward pass on input
            • Drop - connect
            • Blend a single segment
            • Performs the forward computation
            • Construct a hyperparameters model
            • Create a pyramid
            • Summarize the confusion matrix
            • Calculate the image size
            • Performs count upsample on a given mode
            • Compute the gradient matrix
            • Print a summary of flops
            • Count the number of rows
            • Count the number of ops in x
            • Parse file paths
            • Create a partial object from a Python object
            • Return an object factory
            • Get an object from an object
            • Count the number of LSTM cells
            Get all kandi verified functions for this library.

            hyperseg Key Features

            No Key Features are available at this moment for hyperseg.

            hyperseg Examples and Code Snippets

            Testing,Citation
            Pythondot img1Lines of Code : 7dot img1License : Permissive (CC0-1.0)
            copy iconCopy
            @inproceedings{nirkin2021hyperseg,
              title={{HyperSeg}: Patch-wise Hypernetwork for Real-time Semantic Segmentation},
              author={Nirkin, Yuval and Wolf, Lior and Hassner, Tal},
              booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognitio  
            Testing,Testing a model after training
            Pythondot img2Lines of Code : 3dot img2License : Permissive (CC0-1.0)
            copy iconCopy
            python test.py 'checkpoints/cityscapes/cityscapes_efficientnet_b1_hyperseg-m' \
            -td "hyper_seg.datasets.cityscapes.CityscapesDataset('data/cityscapes',split='val',mode='fine')" \
            -it "seg_transforms.LargerEdgeResize([512,1024])"
              
            Installation
            Pythondot img3Lines of Code : 2dot img3License : Permissive (CC0-1.0)
            copy iconCopy
            conda install pytorch torchvision cudatoolkit=11.1 -c pytorch -c conda-forge
            pip install opencv-python ffmpeg-python
              

            Community Discussions

            QUESTION

            How to get the values from a Multiple Search Selection dropdown box in react-semantic-ui?
            Asked 2019-Apr-09 at 06:50

            I apologize if this is a silly question but I can't figure out how to get the values from a Multiple Search Selection dropdown boxes using semantic-ui-React component. I already have it render the proper items within it and selecting and searching works fine, but I can't seem to figure out how to get the values out of what the user has selected.

            https://react.semantic-ui.com/modules/dropdown/#types-multiple-selection

            thanks

            EDIT:

            code:

            ...

            ANSWER

            Answered 2019-Apr-09 at 06:28

            I think this is what you are trying to do. Please check the code below.

            Source https://stackoverflow.com/questions/55586138

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install hyperseg

            Install the following packages:. Add the parent directory of the repository to PYTHONPATH.

            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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          • HTTPS

            https://github.com/YuvalNirkin/hyperseg.git

          • CLI

            gh repo clone YuvalNirkin/hyperseg

          • sshUrl

            git@github.com:YuvalNirkin/hyperseg.git

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