PytorchOCR | based OCR tool library that supports commonly used text

 by   WenmuZhou C++ Version: Current License: No License

kandi X-RAY | PytorchOCR Summary

kandi X-RAY | PytorchOCR Summary

PytorchOCR is a C++ library. PytorchOCR has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

Pytorch-based OCR tool library that supports commonly used text detection and recognition algorithms
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            kandi-support Support

              PytorchOCR has a medium active ecosystem.
              It has 1057 star(s) with 259 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 69 open issues and 81 have been closed. On average issues are closed in 18 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of PytorchOCR is current.

            kandi-Quality Quality

              PytorchOCR has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              PytorchOCR does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              PytorchOCR releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed PytorchOCR and discovered the below as its top functions. This is intended to give you an instant insight into PytorchOCR implemented functionality, and help decide if they suit your requirements.
            • Evaluate an image
            • Train the model
            • Evaluate the model
            • Adjust the learning rate based on an optimizer
            • Update the statistics
            • Performs a single forward projection on the given pred
            • Convert fourier transform to polynomial
            • Compute the OGM
            • Perform forward transformation
            • Partition an array into a list of windows
            • Get a logger
            • Convenience function to save images
            • Load data from file
            • Perform SW - M algorithm
            • Forward computation
            • Perform the forward computation
            • Create a dataset from a list of images
            • Load data from file
            • Test the image
            • Generate ghostnet
            • Build the scheduler
            • Compute the loss function
            • Transport function of image
            • Saves checkpointing logic
            • Load data from a JSON file
            • Print message to logger
            • Return a logger with the given name
            Get all kandi verified functions for this library.

            PytorchOCR Key Features

            No Key Features are available at this moment for PytorchOCR.

            PytorchOCR Examples and Code Snippets

            No Code Snippets are available at this moment for PytorchOCR.

            Community Discussions

            No Community Discussions are available at this moment for PytorchOCR.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install PytorchOCR

            You can download it from GitHub.

            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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