FaceDetection | implement MTCNN , a perfect face detect algorithm | Machine Learning library
kandi X-RAY | FaceDetection Summary
kandi X-RAY | FaceDetection Summary
C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now
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FaceDetection Key Features
FaceDetection Examples and Code Snippets
Community Discussions
Trending Discussions on FaceDetection
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 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 05:22Reomve cv2.imshow('img', img)
and replace it with print(faces)
cv2.imshow() is responsible for opening of image window.
QUESTION
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 19:57Your VideoStream class's init looks ok, but I think you might have better luck creating a cv2 VideoCapture object in the init as well:
QUESTION
For code clarity and better reusability I'd like to have something like this
...ANSWER
Answered 2021-Jan-20 at 19:43I'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
QUESTION
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
QUESTION
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 09:35This fixed the problem for me:
pod deintegrate
sudo gem install cocoapods-clean
pod clean
pod setup
pod install
QUESTION
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 17:04Ciao,
I have two feelings about your code:
1 - in your onCreate
activity you are missing a line as:
QUESTION
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 17:20I 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):
QUESTION
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 10:30The 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
QUESTION
I'm getting facedetection data from an API in this form:
...ANSWER
Answered 2020-Aug-03 at 19:37You can do this relatively easily with the pandas and json libraries.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install FaceDetection
Bulid caffe, mxnet or tensorflow first Please edit makefile.mk (set xxx_ON flags to enable corresponding dp framework) to select one or more to be supported Build Caffe-HRT, refer to Caffe-HRT Release notes Build MXNet-HRT, refer to MXNet-HRT release notes Build tensorflow, to generate libtensorflow.so, please use: bazel build --config=opt //tensorflow/tools/lib_package:libtensorflow the tarball, bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz, includes the libtensorflow.so and c header files
Edit Makefile to set CAFFE_ROOT, MXNET_ROOT or TENSORFLOW_ROOT to the right path in your machine. For example : CAFFE_ROOT=/usr/local/AID/Caffe-HRT/.
make -j4
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