DeepFace | Face analysis mainly based on Caffe | Computer Vision library
kandi X-RAY | DeepFace Summary
kandi X-RAY | DeepFace Summary
a deep face analysis implement, mainly based on -Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done. -中文Readme. Each task is divide by different folder. ###baseline Face detection using sliding windows style, it first train a face/noface two class classification network, and then tranform to a full convolution network, detection is based on the heatmap when input a large full size image. face detection result example：. ##Face key points detection. ###try1_1 face 5 key points detection using DeepID architecture. face 5 key points detection result example：. ##Face Verification ###deepid Face verification based on DeepID network architecture. face verification ROC result：. We collect the face datasets usually used by recently years' paper, and divide by different task. Also we simply describe each of the dataset.(In Chinese). For more implement details, please reference my blog. It is welcome for everyone to make suggestions and improvement.
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Top functions reviewed by kandi - BETA
- Make list of files from top3
- Make a dictionary from a file
- Predict from image
- Read an image
- Divide a dataset to a test set
- Make child of train file list
- Make a list of filenames
- Make train file list
- Reshape a square matrix
DeepFace Key Features
DeepFace Examples and Code Snippets
Lines of Code : 29License : Permissive (MIT)
Copypip install retina-face
from retinaface import RetinaFace
resp = RetinaFace.detect_faces("img1.jpg")
{
"face_1": {
"score": 0.9993440508842468,
"facial_area": [155, 81, 434, 443],
"landmarks": {
"right_eye": [2 Community Discussions
Trending Discussions on DeepFace
QUESTION
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.
...ANSWER
Answered 2022-Jan-18 at 13:43Solved!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)]
QUESTION
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
...ANSWER
Answered 2021-Oct-22 at 10:59You 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
QUESTION
ANSWER
Answered 2021-Jul-11 at 22:42Change y - second value in (50,50), (40,50), (30,50) - ie. (50,50), (50,80), (50,110)
Minimal working code
QUESTION
My DeepFace Implementation
...ANSWER
Answered 2021-Jun-06 at 10:43If 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:
QUESTION
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 09:55from 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]
QUESTION
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.
...ANSWER
Answered 2021-Mar-22 at 06:29If this if loop get executed a response will be send
QUESTION
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:
...ANSWER
Answered 2021-Mar-19 at 12:34Predictions is a tensor, so you need its value and not the tensor itself.
Change this line:
QUESTION
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.
...ANSWER
Answered 2021-Feb-04 at 13:35When 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:
QUESTION
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?`
...ANSWER
Answered 2021-Feb-02 at 05:59The 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:
QUESTION
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
...ANSWER
Answered 2020-Dec-31 at 13:53if 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
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Install DeepFace
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.
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