deepface | Deep Learning Models for Face Detection | Machine Learning library

by ildoonet Python Version: Current License: MIT

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

kandi X-RAY | deepface Summary

deepface is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. deepface has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow. It is being implemented...

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deepface has a low active ecosystem.

It has 398 star(s) with 139 fork(s). There are 24 watchers for this library.

It had no major release in the last 6 months.

There are 20 open issues and 3 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deepface is current.

Quality

deepface has 0 bugs and 0 code smells.

Security

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

deepface code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deepface 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

deepface saves you 1039 person hours of effort in developing the same functionality from scratch.

It has 2358 lines of code, 78 functions and 24 files.

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

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deepface Key Features

No Key Features are available at this moment for deepface.

deepface Examples and Code Snippets

No Code Snippets are available at this moment for deepface.

Community Discussions

Trending Discussions on deepface

Bounding boxes returned without detected face image in dlib python

PermissionError: [Errno 13] Permission denied: .deepface

OpenCv: change position of putText()

Can DeepFace verify() accept an image array or PIL Image object?

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

Cannot set headers after they are sent to client

My OpenCV Live Webcam Demo Doesn't Show Accurate Emotions

from numba import cuda, numpy_support and ImportError: cannot import name 'numpy_support' from 'numba'

Memory leakage issue in python list

ValueError: unknown format is not supported : ROC Curve

QUESTION

Bounding boxes returned without detected face image in dlib python

Asked 2022-Jan-18 at 13:43

I'm trying to detect multiple faces in a picture using the deepface library with dlib as the backend detector. I'm using the DlibWrapper.py from the deeepface library and i have the following issue: In some cases, the detector returns the bounding box coordinates but doesn't return the detected face image detected face-box coordinates.

I was wondering if this bug occurs because of the negative values of some coordinates of the bounding boxes but i figured out that was not the case, as the negative values are features, not bugs. Here is the DlibWrapper from the deepface library.

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ANSWER

Answered 2022-Jan-18 at 13:43

Solved!There are edge cases where original rectangle is partially outside the image window. That happens with dlib. So, instead of

detected_face = img[top:bottom, left:right],

the detected face should be

detected_face = img[max(0, top): min(bottom, img_height), max(0, left): min(right, img_width)]

Source https://stackoverflow.com/questions/70754730

QUESTION

PermissionError: [Errno 13] Permission denied: .deepface

Asked 2021-Oct-22 at 10:59

I have installed a basic python server with deepface library with apache2 on ubuntu.

The library makes a .deepface directory on app initialization but it is unable to do so due to permission denied error as it's hidden in linux by default. I am getting the following error

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ANSWER

Answered 2021-Oct-22 at 10:59

You can give permission to that hidden folder by typing sudo chmod 777 -R /var/www/.deepface. Make sure cheking the permission by cd /var/www/ and ls -lth

Source https://stackoverflow.com/questions/69675561

QUESTION

OpenCv: change position of putText()

Asked 2021-Jul-11 at 22:42

I made a deep learning program that uses the webcam to recognize a persons emotion, race and gender. The text shows a persons characteristics is inside of each other. How can I move them underneath each other?

The code

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ANSWER

Answered 2021-Jul-11 at 22:42

Change y - second value in (50,50), (40,50), (30,50) - ie. (50,50), (50,80), (50,110)

Minimal working code

Source https://stackoverflow.com/questions/68339674

QUESTION

Can DeepFace verify() accept an image array or PIL Image object?

Asked 2021-Jun-08 at 12:03

My DeepFace Implementation

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ANSWER

Answered 2021-Jun-06 at 10:43

If you are using this module, the documentation says:

Herein, face pairs could be exact image paths, numpy array or base64 encoded images

So, presumably, you can make your PIL Images into Numpy arrays like this:

Source https://stackoverflow.com/questions/67856738

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 :

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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

Cannot set headers after they are sent to client

Asked 2021-Mar-22 at 09:38

I am creating an api that will call a python script using python-shell in nodejs.However when I am running the api,the api returns the error of "Cannot set headers after they have been sent to the client".Below is the code for the api.

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ANSWER

Answered 2021-Mar-22 at 06:29

If this if loop get executed a response will be send

Source https://stackoverflow.com/questions/66740844

QUESTION

My OpenCV Live Webcam Demo Doesn't Show Accurate Emotions

Asked 2021-Mar-19 at 12:34

I developed a code by following a non-complete tutorial for emotion recognition with using PyTorch. I had so many errors but i fixed them thanks to the other questions here. But i simply stucked at this one. I am running my code, then my webcam opens but i see "Neutral" emotions all the time, even tough i perform different emotions. But on the console i am seeing other emotions as recorded, like:

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ANSWER

Answered 2021-Mar-19 at 12:34

Predictions is a tensor, so you need its value and not the tensor itself.

Change this line:

Source https://stackoverflow.com/questions/66708076

QUESTION

from numba import cuda, numpy_support and ImportError: cannot import name 'numpy_support' from 'numba'

Asked 2021-Feb-04 at 13:35

I am changing pandas into cudf to make faster aggregating and reduce the processing speed. I figure out one library which works on GPU with pandas.

"CUDF LINK" https://github.com/rapidsai/cudf

When I entered the below to install in my project it gives an error and I also tried many version of numba.

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ANSWER

Answered 2021-Feb-04 at 13:35

When trying to install cuDF 0.13, conda is apparently finding a numba version that is incompatible with that cuDF 0.13.

cuDF 0.13 is out of date. The current stable release is 0.17 and the nightly is 0.18. We'll update the README, as it should provide installation instructions for the current version.

We recommend creating a fresh conda environment. Please try the following conda install command, found here:

Source https://stackoverflow.com/questions/66046111

QUESTION

Memory leakage issue in python list

Asked 2021-Feb-02 at 05:59

The identities list contains a big array of approximately 57000 images. Now, I am creating a negative list with the help of itertools.product(). This stores the whole list in memory which is very costly and my system hanged after 4 minutes.

How can I optimize the below code and avoid saving in memory?`

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ANSWER

Answered 2021-Feb-02 at 05:59

The product from itertools is a generator so naturally it dose not store the whole list in memory, but in the next line, cross_product = list(cross_product) you convert it to list object which store the whole data in your memory.

The idea of a generator is that you don't do all the calculation at the same time, as you do with your call list(itertools.product(samples_list[i], samples_list[j])). So what you want to do is generate the results one by one:

Try something like this:

Source https://stackoverflow.com/questions/65855793

QUESTION

ValueError: unknown format is not supported : ROC Curve

Asked 2020-Dec-31 at 13:53

I have just updated python version from 3.5 to 3.7 and getting an error in constructing ROC curve. I did not change anything in code but it gives some unknown error

Code

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ANSWER

Answered 2020-Dec-31 at 13:53

if we print the value of type_of_target(y_test) the output value is "unknown". Now, we have to change the unknown to integer. So we will do like this

Source https://stackoverflow.com/questions/65518308

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

Vulnerabilities

No vulnerabilities reported

Install deepface

You can download it from GitHub.
You can use deepface 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.