landmark-detection | Four landmark detection algorithms, implemented in PyTorch | Computer Vision library

 by   D-X-Y Python Version: Current License: MIT

kandi X-RAY | landmark-detection Summary

kandi X-RAY | landmark-detection Summary

landmark-detection is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. landmark-detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However landmark-detection build file is not available. You can download it from GitHub.

This project contains three landmark detection algorithms, implemented in PyTorch.
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            kandi-support Support

              landmark-detection has a medium active ecosystem.
              It has 898 star(s) with 179 fork(s). There are 34 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 14 open issues and 73 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 landmark-detection is current.

            kandi-Quality Quality

              landmark-detection has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              landmark-detection is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              landmark-detection releases are not available. You will need to build from source code and install.
              landmark-detection has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              landmark-detection saves you 10459 person hours of effort in developing the same functionality from scratch.
              It has 21252 lines of code, 1090 functions and 246 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed landmark-detection and discovered the below as its top functions. This is intended to give you an instant insight into landmark-detection implemented functionality, and help decide if they suit your requirements.
            • Main function for the StM regression
            • Helper function for debugging
            • Denormalize points
            • Convert an image to an image
            • Main function for the StM heatmap
            • Helper function to save multiple images
            • Denormalize a batch of points
            • Load image file
            • Generates panoptic
            • Main function for x_sbr
            • Main function
            • Main regression function
            • Main regression
            • Generate a list of 300w files
            • Train lk learn
            • Generates a human 3 - 6 matrix from the metadata
            • Basic train function
            • Wrapper for debugging
            • Evaluate the model
            • Generate a list of images
            • Load a list of files
            • Create a frame script
            • Generate WFLW list
            • Train cycle -gan
            • Save all faces to a list
            • Save training data to file
            Get all kandi verified functions for this library.

            landmark-detection Key Features

            No Key Features are available at this moment for landmark-detection.

            landmark-detection Examples and Code Snippets

            No Code Snippets are available at this moment for landmark-detection.

            Community Discussions

            QUESTION

            How to get specific landmark of face like lips or eyes using tensorflow.js face-landmark-detection model
            Asked 2021-Mar-16 at 09:31

            I am trying to change the shape and position of eyes and lips and for this purpose I use tenserflow.js face-landmark-detection model. I get the all 468 facial landmarks but the problem is i don't know and i never find any solution on internet how to get the position of only required landmark like lips and eyes. I get all the points but want to apply changes on lips and eyes how i apply changes only on these landmarks.

            ...

            ANSWER

            Answered 2021-Mar-16 at 05:47

            The coordinates of are available here.

            You can refer to the mesh image example which has the points as well but you would need to zoom in and check them manually.

            These are the exact coordinates that you would need for your use case.

            Source https://stackoverflow.com/questions/66649492

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

            Vulnerabilities

            No vulnerabilities reported

            Install landmark-detection

            You can download it from GitHub.
            You can use landmark-detection like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

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            https://github.com/D-X-Y/landmark-detection.git

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            gh repo clone D-X-Y/landmark-detection

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            git@github.com:D-X-Y/landmark-detection.git

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