face_recognition | Face recognition on go | Computer Vision library
kandi X-RAY | face_recognition Summary
kandi X-RAY | face_recognition Summary
Face recognition on go
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Top functions reviewed by kandi - BETA
- Process a video
- Add name coordinates to image
- Find the face of the given image
- Load saved encodings
- Get face encodings
- Check if an image is big
- Identify a list of face names
- Resize image
- Format name coordinates and face coordinates
- Prepare data from folder
- Encodes the given image into a list of face objects
- Dump data to file
- Encodes an image
- Detect the face of a given image
- Determine the media type
- Encodes a video
- Process an image
face_recognition Key Features
face_recognition Examples and Code Snippets
Community Discussions
Trending Discussions on face_recognition
QUESTION
I was trying to develop a face recognition attendance system, I coded 100% just like the tutorial, but I still got some errors, here's the code:
...ANSWER
Answered 2021-May-22 at 07:45This line: for (top, right, bottom, left), name in zip(faceLocations, faceNames): .
Make sure that top, right, bottom, left values are integer values and not float values. Just print them once to confirm. If they are float values convert them to int using int(). Like this:
QUESTION
I am trying to face recognise by python Face-recognition library
I have tried below code for below image
Code :
...ANSWER
Answered 2021-Apr-29 at 08:46Sorry to say but if the face recognition is good it should not recognize cartoon faces, it's designed to recognize human faces and therefore should only tell you how many human faces it is on the image, otherwise it's a bad designed algorithm. If you want a machine-learning algorithm to recognize cartoon faces you would have to train it your self for that specific test.
I did a quick search on google and the first things I found was an article named "Cartoon Face Recognition: A Benchmark Dataset" at https://arxiv.org/pdf/1907.13394.pdf . Maybe you can find an already existing machine-learning algorithm that have been trained to recognize cartoon faces.
Hope this helped and I hope you find what you're looking for.
--------------------------------EDIT--------------------------------
I found these two git repositories, could be worth looking into more
https://github.com/srvCodes/Cartoon-Face-Detection-and-Recognition https://github.com/hako/dissertation
The last link is a link for emotions of cartoon character.
QUESTION
I have a python code which detects faces, but if I am 3 meters away, it won't recognize me anymore... I am new to python and I think I can do more, if you can tell me the code I have to change.
Can somebody help me?
...ANSWER
Answered 2021-Apr-24 at 10:11I guess the problem is rather in the big distance and small face then in algorithm. face_recognition.face_locations() has an argument: number_of_times_to_upsample Try to set it 2 or more: as much as smaller faces to be found.
QUESTION
I'm trying to use an example from https://github.com/ageitgey/face_recognition
for face detection on Raspberry Pi.
This is the 'facerec_on_raspberry_pi.py' code:
...ANSWER
Answered 2021-Apr-19 at 14:00You can use opencv API directly.
Instead of creating a PiCamera object like:
QUESTION
I was developing an app that returns JSON data if an uploaded image matches the image in the app folder. After selecting a particular image, I click "Upload" image it shows "No file chosen". The below given whole code. How can I fix this up? Thank you, in advance!
...ANSWER
Answered 2021-Apr-08 at 11:12findEncodings() is not being called anywhere. Does it serve any purpose or should it be removed from the code snippet?
QUESTION
import cv2
import NumPy as np
import face_recognition
import os
from DateTime import DateTime
from SQL import mydb
mycursor = mydb.cursor()
mycursor.execute("SELECT name, age,imageURL,gender FROM staff")
myresult = mycursor.fetchone()
name = myresult[0]
age = myresult[1]
imgs = myresult[2]
gender = myresult[3]
ANSWER
Answered 2021-Mar-23 at 17:43It's called tuple unpacking.
QUESTION
There is a video, that is being processed. The process can be seen in console as frame processing 1/1000, 2/1000 etc. The output video has done ok, but if i want to see the results during the run, there is a grey screen - not responding (screenshot of program running).
Code, where movi is loaded:
...ANSWER
Answered 2021-Mar-23 at 11:40Looking at what you have here; I'm not sure you understood how to deal with videos in opencv-python.
input_movie = cv2.VideoCapture(r"test.mp4")
here will open the test.mp4 video (as maybe you understood).
But now, you'll need to tell to opencv to read each frame of this video using a while function and read input_movie
In general, this is how we do:
QUESTION
I am trying to make a face_recognition using the face-recognition dlib library, but it gives an error(I am new to python).
...ANSWER
Answered 2021-Feb-24 at 16:26It says that there is no such directory as a.jpg in the "dataset" folder
No, that is not what the error means.
The code is looking for that file in the current directory, not in the dataset folder.
You did call os.listdir(r'/home/pi/Desktop/dataset/'), but that does not change the current directory.
Use the full pathname to open the file:
QUESTION
I wanted to show multiple images in a single cell of google colab using maltplotlib imshow()
When it is used only once in a cell, the image will be shown.
But when multiple imshow() fcalls are made , the previous imshow()s outputs are cleared .
...ANSWER
Answered 2021-Feb-19 at 10:11Simply add plt.show() after each of your plt.imshow(image)
QUESTION
Good day, I am finding it difficult to recognize the head movement of a person using openCV, I have done a project that detects the face and eyes using haarcascade classifier, but unable to track the head movement say head moves left, right, up or down movement.
here is my code
...ANSWER
Answered 2021-Feb-18 at 11:47You can use dlib Face Detection. it uses Deep CNN and it is very good. First install face_recogniton madule by:
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Install face_recognition
You can use face_recognition 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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