FaceDetection | : star2 : Human Face Detection based on AdaBoost | Computer Vision library

by jasonleaster Python Version: Current License: MIT

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

kandi X-RAY | FaceDetection Summary

FaceDetection is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow, OpenCV, Numpy applications. FaceDetection has no vulnerabilities, it has a Permissive License and it has low support. However FaceDetection has 5 bugs and it build file is not available. You can download it from GitHub.

:star2: Human Face Detection based on AdaBoost

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Quality

Security

License

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Support

FaceDetection has a low active ecosystem.

It has 140 star(s) with 66 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 12 have been closed. On average issues are closed in 136 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FaceDetection is current.

Quality

FaceDetection has 5 bugs (3 blocker, 0 critical, 2 major, 0 minor) and 243 code smells.

Security

FaceDetection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

FaceDetection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FaceDetection is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

FaceDetection releases are not available. You will need to build from source code and install.

FaceDetection 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.

FaceDetection saves you 627 person hours of effort in developing the same functionality from scratch.

It has 1457 lines of code, 54 functions and 14 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed FaceDetection and discovered the below as its top functions. This is intended to give you an instant insight into FaceDetection implemented functionality, and help decide if they suit your requirements.

Calculate the feature for the given image
Sum the rectangle
Calculate the feature type of the image
Vectorized feature
Compute the feature typeIV of the image
Vectorized feature type
Vectorized feature type II
Train the optimizer
Optimizes the output of a function
Predict classifications
Calculate the prediction for a matrix

Get all kandi verified functions for this library.

FaceDetection Key Features

No Key Features are available at this moment for FaceDetection.

FaceDetection Examples and Code Snippets

No Code Snippets are available at this moment for FaceDetection.

Community Discussions

Trending Discussions on FaceDetection

Tensor Tensor("flatten/Reshape:0", shape=(?, 2622), dtype=float32) is not an element of this graph

Use cv2.videocapture without it opening a window

multi-threading, what is wrong with my code

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

How to print a message on browser using javascript and HTML

CocoaPods could not find compatible versions for pod GoogleDataTransport when installing GoogleMLKit Face Detection

in android studio doing face detection using opencv. E/AndroidRuntime: FATAL EXCEPTION: main

FaceDetector was not released with FaceDetector.release()

Integrating Native code with CameraX to Custom React Native Component Fails

How to save API response to csv with Python

QUESTION

Tensor Tensor("flatten/Reshape:0", shape=(?, 2622), dtype=float32) is not an element of this graph

Asked 2021-May-24 at 09:55

Hello StackOverFlow Team: I built a model based on (Vgg_Face_Model) with weights loaded (vgg_face_weights.h5). Note that I use tensorflow-gpu = 2.1.0 , and keras=2.3.1 , with Anaconda 3 create it as interpreter and used with pycharm But the code shows an error in the part :

...

ANSWER

Answered 2021-May-24 at 09:55

from tensorflow.python.keras.backend import set_session
sess = tf.Session()

#This is a global session and graph
graph = tf.get_default_graph()
set_session(sess)


#now where you are calling the model
global sess
global graph
with graph.as_default():
    set_session(sess)
    input_descriptor = [model.predict(face), img]

Source https://stackoverflow.com/questions/67659336

QUESTION

Use cv2.videocapture without it opening a window

Asked 2021-May-02 at 05:22

I am trying to use face detection but I do not want the video feed window to open up when I use videocapture, this is the code I'm working on:

...

ANSWER

Answered 2021-May-02 at 05:22

Reomve cv2.imshow('img', img) and replace it with print(faces)

cv2.imshow() is responsible for opening of image window.

Source https://stackoverflow.com/questions/67353210

QUESTION

multi-threading, what is wrong with my code

Asked 2021-Apr-08 at 19:57

I was trying to make faster my frames in opencv, it was so slow using it normal, so I decided to ask it here Make faster videocapture opencv the answer was to use multi threading to make it faster, so I code it like this

...

ANSWER

Answered 2021-Apr-08 at 19:57

Your VideoStream class's init looks ok, but I think you might have better luck creating a cv2 VideoCapture object in the init as well:

Source https://stackoverflow.com/questions/67010610

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

How to print a message on browser using javascript and HTML

Asked 2020-Dec-15 at 03:42

I am currently working on face detection on a browser. Below is the snippet for my java script code. it detect the bounding boxes when face is visible in the screen. I want to print a message on the canvas when the face is not detected by my model. In that case predictions.length will be equal to 0 here is my code ,how do I modify it for my functionality

...

ANSWER

Answered 2020-Dec-15 at 03:30

Check the predictions length
If no predictions, render an error message in the canvas

Source https://stackoverflow.com/questions/65299195

QUESTION

CocoaPods could not find compatible versions for pod GoogleDataTransport when installing GoogleMLKit Face Detection

Asked 2020-Oct-28 at 13:26

So I tried to install ML Kit Face Detection library by following this documentation, so first I added this line in my podfile:

...

ANSWER

Answered 2020-Jun-17 at 09:35

This fixed the problem for me:

pod deintegrate
sudo gem install cocoapods-clean
pod clean
pod setup
pod install

Source https://stackoverflow.com/questions/62423247

QUESTION

in android studio doing face detection using opencv. E/AndroidRuntime: FATAL EXCEPTION: main

Asked 2020-Oct-14 at 17:04

I am doing face detection application using opencv.the app is installed in the phone but due to fatal error it get closed suddenly. this is my MainActivity.java

...

ANSWER

Answered 2020-Oct-14 at 17:04

Ciao,

I have two feelings about your code:

1 - in your onCreate activity you are missing a line as:

Source https://stackoverflow.com/questions/64354355

QUESTION

FaceDetector was not released with FaceDetector.release()

Asked 2020-Oct-07 at 17:20

I am working with ML face detector: https://developers.google.com/ml-kit/vision/face-detection/android#kotlin_2

And I take an image from Camera2 and process it. But I constantly have the error "FaceDetector was not released with FaceDetector.release()"

More details:

...

ANSWER

Answered 2020-Oct-07 at 17:20

I finally figured out how did this error happen!

There must be only one instance of the detector. And the error was in another part of my code (I am new to android and first time working with camera2):

Source https://stackoverflow.com/questions/64213266

QUESTION

Integrating Native code with CameraX to Custom React Native Component Fails

Asked 2020-Sep-28 at 10:30

Hello I have an app that used now deprecated Camera module in android for displaying the camera view and drawing filters onto it using mlkit face detection. Recently we've decided to upgrade it to CameraX, I did all the necessary steps to make it work as a separate android app and it works. When I want to incorporate it to our existing Custom React Native module no matter what I do, it doesn't show anything on the screen. I've checked the view sizes and they seem to be ok. Below is the code I use to start the camera module.

...

ANSWER

Answered 2020-Sep-28 at 10:30

The issue happens because the relative layout is not resized after being added to the scene. The workaround is not mine, but I could not find where it was from right now so I'll just leave it here in case someone else is having the similar issue. I solved the issue by calling the layoutHack in the constructor of my RelativeLayout

Source https://stackoverflow.com/questions/63896520

QUESTION

How to save API response to csv with Python

Asked 2020-Aug-03 at 19:37

I'm getting facedetection data from an API in this form:

...

ANSWER

Answered 2020-Aug-03 at 19:37

You can do this relatively easily with the pandas and json libraries.

Source https://stackoverflow.com/questions/63235420

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

Vulnerabilities

No vulnerabilities reported

Install FaceDetection

You can download it from GitHub.
You can use FaceDetection 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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