face-mask-detection | Simple project to detect if person | Machine Learning library

 by   jahnavi-prasad Python Version: Current License: MIT

kandi X-RAY | face-mask-detection Summary

kandi X-RAY | face-mask-detection Summary

face-mask-detection is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras applications. face-mask-detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However face-mask-detection build file is not available. You can download it from GitHub.

Simple project to detect if a person is wearing a mask
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            kandi-support Support

              face-mask-detection has a low active ecosystem.
              It has 6 star(s) with 6 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              face-mask-detection has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of face-mask-detection is current.

            kandi-Quality Quality

              face-mask-detection has no bugs reported.

            kandi-Security Security

              face-mask-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              face-mask-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

              face-mask-detection releases are not available. You will need to build from source code and install.
              face-mask-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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed face-mask-detection and discovered the below as its top functions. This is intended to give you an instant insight into face-mask-detection implemented functionality, and help decide if they suit your requirements.
            • Detects and returns the face of the given frame .
            Get all kandi verified functions for this library.

            face-mask-detection Key Features

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

            face-mask-detection Examples and Code Snippets

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

            Community Discussions

            QUESTION

            Model trained on google collab not saving to my drive
            Asked 2021-May-12 at 07:58

            I am building a model for face mask detection on Google collab. I'm unable to save the model to my drive. I ran the following code on Google Collab:

            ...

            ANSWER

            Answered 2021-May-12 at 07:58

            Change your directory to Google drive and perform model.save()

            Add %cd /content/drive/MyDrive/ to change your directory inside drive.

            Another option is to give the full path while using model.save() Like this model.save('content/drive/MyDrive/face_mask_detection_alert_system.h5')

            Full code

            Source https://stackoverflow.com/questions/67494150

            QUESTION

            What do the parameters used in crop mean?
            Asked 2020-Dec-09 at 14:27

            I want to crop an image properly. Lets say my image is called frame and x, y, w and h are xmin, ymin, xmax and ymax, respectively:

            ...

            ANSWER

            Answered 2020-Dec-09 at 12:39

            I think you got some misunderstanding about how indexing and slicing in numpy works:

            For your first line y:y + h basically means slice from index y to index y + h. Same goes for the second dimension, there you take the array slice from x to x + w.

            So basically x and y correspond to your xmin and ymin and you slice to xmax and ymax which is the window minimums plus the corresponding height and width; that's why you have y + h and x + w in the second part of both dimensions.

            As for frame[y:y, x:x] - this makes no sense at least in python, so you might have mixed up something there. If you slice from the index to the same index, your resulting array will always be empty:

            Source https://stackoverflow.com/questions/65208445

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

            Vulnerabilities

            No vulnerabilities reported

            Install face-mask-detection

            You can download it from GitHub.
            You can use face-mask-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

            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/jahnavi-prasad/face-mask-detection.git

          • CLI

            gh repo clone jahnavi-prasad/face-mask-detection

          • sshUrl

            git@github.com:jahnavi-prasad/face-mask-detection.git

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