face-mask-detector | Face mask detection with Tensorflow and Keras CNNs | Machine Learning library

 by   petrosDemetrakopoulos Python Version: Current License: No License

kandi X-RAY | face-mask-detector Summary

kandi X-RAY | face-mask-detector Summary

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

Face mask detection with Tensorflow and Keras CNNs
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            kandi-support Support

              face-mask-detector has a low active ecosystem.
              It has 5 star(s) with 5 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of face-mask-detector is current.

            kandi-Quality Quality

              face-mask-detector has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              face-mask-detector 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

              face-mask-detector releases are not available. You will need to build from source code and install.
              face-mask-detector 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-detector and discovered the below as its top functions. This is intended to give you an instant insight into face-mask-detector implemented functionality, and help decide if they suit your requirements.
            • Train the model .
            • split and test images
            • Plot training and validation .
            Get all kandi verified functions for this library.

            face-mask-detector Key Features

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

            face-mask-detector Examples and Code Snippets

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

            Community Discussions

            QUESTION

            colab face mask implementation?
            Asked 2020-Dec-22 at 10:21

            File "/content/drive/My Drive/mask/face-mask-detector/detect_mask_image.py", line 32, in net = cv2.dnn.readNet(prototxtPath, weightsPath) cv2.error: OpenCV(4.1.2) /io/opencv/modules/dnn/src/caffe/caffe_io.cpp:1121: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "face_detector/deploy.prototxt" in function 'ReadProtoFromTextFile'

            why this error?

            i was trying to implement face mask detecting system from this blog I got an error in detect_mask_image.py file

            ...

            ANSWER

            Answered 2020-Jun-06 at 02:30

            If you are using Colab to detect a live video from your webcam then you have to make some changes to allow WEB APIs to access the local hardware such as the webcam.

            Here is a link to help.

            Source https://stackoverflow.com/questions/62223161

            QUESTION

            Tensorflow, Keras: Expected to see 1 array(s), but instead got the following list of 2 arrays
            Asked 2020-May-26 at 11:35

            I am very new to Tensorflow and Keras. I am trying to follow this tutorial "https://www.pyimagesearch.com/2020/05/04/covid-19-face-mask-detector-with-opencv-keras-tensorflow-and-deep-learning/". This code works perfectly when there is only one face in the frame, but when I try to detect face-mask on more than one face, it gives me this error. What can be the issue here?

            ...

            ANSWER

            Answered 2020-May-26 at 11:35

            AFAIK Opencv uses numpy as inputs. So you are giving it a python array of two 4 dimension numpy arrays with the shape (1,x,x,3). Because you want to give several images as input you should give one numpy array of 4 dimensions where the first dimension is the batch size. (N_imgs, width, height, channels)

            Source https://stackoverflow.com/questions/62017903

            QUESTION

            Tensorflow and Keras: OSError: unable to create model file, permission denied
            Asked 2020-May-26 at 10:04

            I am using Anaconda Spyder 4.0.1, 64-bit windows and TensorFlow version 2.0. I am trying to follow this tutorial (https://www.pyimagesearch.com/2020/05/04/covid-19-face-mask-detector-with-opencv-keras-tensorflow-and-deep-learning/), in order to detect the person with and without a facemask. I am trying to generate a classifier file, it is giving me this error.

            ...

            ANSWER

            Answered 2020-May-26 at 10:04

            It got solved by model.save ('name_of_model.model'), rather than saving in 'h5' or 'hdf5' format.

            Source https://stackoverflow.com/questions/61933292

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

            Vulnerabilities

            No vulnerabilities reported

            Install face-mask-detector

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