face-detection | Simple python-opencv face detection with haarcascades | Computer Vision library

by poudyalanil Python Version: Current License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | face-detection Summary

face-detection is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. face-detection has no bugs, it has no vulnerabilities and it has low support. However face-detection build file is not available. You can download it from GitHub.

Simple Python OpenCV face detection using haarcascades algorithm.

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Quality

Security

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Support

face-detection has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

face-detection has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of face-detection is current.

Quality

face-detection has no bugs reported.

Security

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

License

face-detection does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

face-detection has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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face-detection Key Features

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

face-detection Examples and Code Snippets

Runs face detection .

python

Lines of Code : 14

License : Permissive (MIT License)

Copy

def main(files):
    detector = dlib.get_frontal_face_detector()
    sp = dlib.shape_predictor(DAT_PATH)

    for file in files:
        img = cv2.imread(file, cv2.IMREAD_ANYCOLOR)
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

        faces = d

Get a capture image using the face detection

java

Lines of Code : 6

License : Permissive (MIT License)

Copy

public Image getCaptureWithFaceDetection() {
        Mat mat = new Mat();
        capture.read(mat);
        Mat haarClassifiedImg = detectFace(mat);
        return mat2Img(haarClassifiedImg);
    }

Community Discussions

Trending Discussions on face-detection

google ml kit duplicate dependency

What does the 4D array returned by net.forward() in OpenCV DNN means? I have little knowledge about deep learning

How to save the image with the red bounding boxes on it detected by mtcnn?

Drawing a Box Around Face To Existed Photos with Google Face Detection ML Kit

Android CameraX use case binding failed

How to extract required data from CURL response inside codeigniter?

Jitpack Task 'install' is ambiguous in root project Android Library

How to extract methods that call MLKit process(), outside of CameraX analyze()?

Cant Extract data from PHP curl response

Failed to apply plugin [id 'com.chaquo.python'] while gradle build

QUESTION

google ml kit duplicate dependency

Asked 2021-May-18 at 17:05

after adding com.google.mlkit:face-detection:16.0.7 I have below log error what should I do?

Duplicate class com.google.firebase.components.Component found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Component$1 found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Component$Builder found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentContainer found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentFactory found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentRegistrar found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Dependency found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.DependencyCycleException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.DependencyException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.MissingDependencyException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Event found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.EventHandler found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Publisher found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Subscriber found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.inject.Provider found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0)

Go to the documentation to learn how to Fix dependency resolution errors.

...

ANSWER

Answered 2021-May-18 at 17:05

you may have an existing firebase dependency that pulls in com.google.firebase:firebase-common:16.0.3 which is not compatible with the mlkit APIs. You can resolve this by using the latest firebase BOM which specifies the latest versions for all firebase SDKs:

// Import the BoM for the Firebase platform implementation platform('com.google.firebase:firebase-bom:28.0.1')

// OR, just explicitly pull in the latest firebase-common dependency in your project: implementation 'com.google.firebase.firebase-common-20.0.0'

Source https://stackoverflow.com/questions/67546931

QUESTION

What does the 4D array returned by net.forward() in OpenCV DNN means? I have little knowledge about deep learning

Asked 2021-May-02 at 15:05

I need to use face detection to finish my homework and then I searched on the Internet and I think that using a pre-trained deep learning face detector model with OpenCV's DNN module is easy and good, it works well. Where I learnt it is here: https://www.pyimagesearch.com/2018/02/26/face-detection-with-opencv-and-deep-learning/ , but I am really confused about the 4D array returned by net.forward():

...

ANSWER

Answered 2021-May-02 at 15:05

3rd dimension helps you iterate over predictions and

in the 4th dimension, there are actual results

class_lable = int(inference_results[0, 0, i,1]) --> gives one hot encoded class label for ith box

conf = inference_results[0, 0, i, 2] --> gives confidence of ith box prediction

TopLeftX,TopLeftY, BottomRightX, BottomRightY = inference_results[0, 0, i, 3:7] -->gives co-ordinates bounding boxes for resized small image

and 2nd dimension is used when the predictions are made in more than one stages, for example in YOLO the predictions are done at 3 different layers. you can iterate over these predictions using 2nd dimension like [:,i,:,:]

Source https://stackoverflow.com/questions/67355960

QUESTION

How to save the image with the red bounding boxes on it detected by mtcnn?

Asked 2021-Apr-28 at 01:21

I have this code in which mtcnn detects faces on an image, draws a red rectangle around each face and prints on the screen.

Code taken from: https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/

But I want to save the image with the red boxes arround each face. So that i can do some preprocessing on it. Any help is good.

...

ANSWER

Answered 2021-Apr-28 at 01:21

You can use matplotlib.pyplot.savefig. For example:

Source https://stackoverflow.com/questions/67284840

QUESTION

Drawing a Box Around Face To Existed Photos with Google Face Detection ML Kit

Asked 2021-Apr-18 at 03:49

We implemented Android ML Kit for face detection in Android. It works like charm, detect faces.

The problem: We want to draw rectangles around detected faces when multiple faces detected

What we have done:

Implemented

...

ANSWER

Answered 2021-Apr-17 at 17:32

you can reference the project here, but it is the java code

https://github.com/kkdroidgit/FaceDetect

Source https://stackoverflow.com/questions/67138571

QUESTION

Android CameraX use case binding failed

Asked 2021-Apr-12 at 09:09

Device: Huawei P40 Lite E dependencies:

...

ANSWER

Answered 2021-Apr-08 at 21:37

Simultaneous ImageCapture in YUV and ImageAnalysis in YUV isn't supported on all camera devices; if you switch the ImageCapture to JPEG you should be fine on all devices (if you want details, you can look at the tables in the underlying camera2 API's session creation). LIMITED-level camera devices only support 3 outputs if one of them is JPEG. FULL-level devices should support it, though.

That's why setBufferFormat is not part of the CameraX public API - using it easily pushes you out of the set of outputs that are commonly supported by camera devices.

Source https://stackoverflow.com/questions/66983861

QUESTION

How to extract required data from CURL response inside codeigniter?

Asked 2021-Feb-10 at 10:50

I tried to use the API from https://rapidapi.com/lambda/api/face-recognition-and-face-detection/details, and got the response as below

...

ANSWER

Answered 2021-Feb-10 at 10:50

Your response is JSON, you just need to use json_decode() function like

Source https://stackoverflow.com/questions/66124131

QUESTION

Jitpack Task 'install' is ambiguous in root project Android Library

Asked 2021-Jan-22 at 20:04

I require your help to be able to upload a project, to give them context, I am adding dependencies to my library:

...

ANSWER

Answered 2021-Jan-22 at 20:04

The solution was to remove project (': opencv') from settings.gradle. ProjectDir = new File ('/ opencv'). This is for the purpose of using opencv from the library since I had forgotten to mention it

Source https://stackoverflow.com/questions/65842383

QUESTION

How to extract methods that call MLKit process(), outside of CameraX analyze()?

Asked 2021-Jan-20 at 19:43

For code clarity and better reusability I'd like to have something like this

...

ANSWER

Answered 2021-Jan-20 at 19:43

I've found the culprit. I pasted the first code example wrong, with imageProxy.close() after the block called for addOnSuccessListener { }, but in reality it was always inside it. The current situation is

Source https://stackoverflow.com/questions/65813291

QUESTION

Cant Extract data from PHP curl response

Asked 2021-Jan-03 at 14:08

I learning to use API from: https://rapidapi.com/lambda/api/face-recognition-and-face-detection/endpoints

I want to save or echo albumkey to variable and store in database. I have tried $response->albumkey and didn't work.

here my response below:

...

ANSWER

Answered 2021-Jan-03 at 14:05

You need to parse the JSON before you can access its values. In PHP you do that with json_decode():

Source https://stackoverflow.com/questions/65550609

QUESTION

Failed to apply plugin [id 'com.chaquo.python'] while gradle build

Asked 2020-Dec-06 at 14:59

I am trying to use python in my android app by using chaquopy. I found tutorial for integrating chaquopy in android here . I update my gradle file for app and project level A problem occurred evaluating project ':app'.

Failed to apply plugin [id 'com.chaquo.python'] No such property: dslScope for class: com.android.build.gradle.internal.api.DefaultAndroidSourceDirectorySet.

Here is my code for build.gradle app level

...

ANSWER

Answered 2020-Dec-06 at 14:59

Chaquopy 6.3.0 isn't compatible with Android Gradle plugin version 4.1.0, and you should have received a warning about that.

See here for the compatible combinations. You should probably just upgrade to the current Chaquopy version, 9.0.0.

Source https://stackoverflow.com/questions/65169273

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

Vulnerabilities

No vulnerabilities reported

Install face-detection

A few resources to get you started:.
Activate Virtual Environment
Run the script
Python OpenCV Docs
Trained Data

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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