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

by GeekLiB 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, OpenCV applications. FaceDetection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However FaceDetection build file is not available. You can download it from GitHub.

Human Face Detection based on AdaBoost

Support

Quality

Security

License

Reuse

Support

FaceDetection has a low active ecosystem.

It has 9 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 746 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 0 bugs and 0 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.

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 feature for the given image
Sum the rectangle
Calculate the length of a feature image
Vectorized feature 3
Compute the feature typeIV of the given image
Vector feature type
Vectorized feature type II
Train the optimizer
Calculate the optimal optimal solution
Predict classifications
Compute the prediction for a given 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

Display Live Video from bytes coming from websocket in Flutter

unable to generate video output in heroku

Mediapipe Crop Images

Why running flask app.run with gunicorn and uwsgi is problematic?

Videostreaming is lagging when implementing facedetection

Xcode is not detecting library..Cannot find Firebase 'FaceDetectorOptions' in scope

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()?

QUESTION

Display Live Video from bytes coming from websocket in Flutter

Asked 2022-Mar-28 at 03:52

I am working on a project where I want to display the live video from an external camera to the Flutter application. I'm using websockets to try and achieve this.

This is the code of the websocket server made in python

...

ANSWER

Answered 2022-Mar-28 at 03:52

I've solved the issue. The problem was that after conversion to the bas64 string the python interpreter added the string in b''. Thus the dart compiler was not able to understand it. This is the working server code

Source https://stackoverflow.com/questions/71613821

QUESTION

unable to generate video output in heroku

Asked 2022-Feb-24 at 12:44

I made this simple face detection and tracking app using flask, opencv and mediapipe. This works completely fine on my local host but when i deployed it on Heroku the the app is unable to show results . Can someone please tell me what's the issue here ? Deployment - http://face1-detection.herokuapp.com/

app.py:

...

ANSWER

Answered 2022-Feb-24 at 12:44

The Python code currently uses waitKey(0) but that doesn't make sense in this context. Nobody is sitting inside the data centre waiting to press a key on a keyboard for you.

Remove that from your code and I think you'll be good to go.

Source https://stackoverflow.com/questions/71251767

QUESTION

Mediapipe Crop Images

Asked 2022-Feb-13 at 20:05

i have a problem with mediapipe coordinations. What i want to do is crop the box of the detected face.

https://google.github.io/mediapipe/solutions/face_detection.html

EXAMPLE OF PROCEDURE

And i use this code below:

...

ANSWER

Answered 2022-Feb-13 at 20:05

Got the solution guys

Source https://stackoverflow.com/questions/71094744

QUESTION

Why running flask app.run with gunicorn and uwsgi is problematic?

Asked 2022-Jan-05 at 16:43

There is an idea that indicates not to run flask app in production with gunicorn or uwsgi. Tiangolo has mentioned in one of his repositories that app.run should be used just for development, not deployment or production. Link to Tiangolo's comment on this topic His code is as follows:

...

ANSWER

Answered 2022-Jan-05 at 13:07

After digging around with gunicorn library for a while, I noticed that gunicorn uses import.import_module to import the entrypoint module(The module that contains the app, in my case entry_point.py) and the codes under if __name__ == '__main__': won't be executed and it's pretty safe to put anything there. Link to import_app method in gunicorn library. This method is called from method load_wsgiapp link to load_wsgiapp inside the primary runner class WSGIApplication Link to WSGIApplication class.
As I noticed Tiangolo meant that using flask app directly for production is not safe because:

The flask application server is not developed or tested for production performance or security.

Answer from Justin Triplett(discord)

Source https://stackoverflow.com/questions/70588999

QUESTION

Videostreaming is lagging when implementing facedetection

Asked 2021-Aug-24 at 19:38

I am using a Rapberry Pi to videostream in a web server.

The video streaming works fine, but once I implement the face recognition, it will be so laggy.

This is my code :

...

ANSWER

Answered 2021-Aug-24 at 19:38

It seems that the width of the video was the one causing problems in my videostreaming. Just had to reduce it to 500 to make it smoother.

From :

Source https://stackoverflow.com/questions/68880723

QUESTION

Xcode is not detecting library..Cannot find Firebase 'FaceDetectorOptions' in scope

Asked 2021-Jul-05 at 15:10

I am trying to use Firebase FaceDetector in my app but I am keep getting error = "Cannot find 'FaceDetectorOptions' in scope" ,seems like Xcode not able to detect FireBase "GoogleMLKit/FaceDetection" library even if I do Clean build Folder my app , restarting an app and updating my PodFile.....still I am getting this error

Here my Podfile

...

ANSWER

Answered 2021-Jul-05 at 15:10

Add

Source https://stackoverflow.com/questions/68258321

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

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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