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import sys | |
import dlib | |
import cv2 | |
import openface | |
# You can download the required pre-trained face detection model here: | |
# http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 | |
predictor_model = "shape_predictor_68_face_landmarks.dat" | |
# Take the image file name from the command line | |
file_name = sys.argv[1] | |
# Create a HOG face detector using the built-in dlib class | |
face_detector = dlib.get_frontal_face_detector() | |
face_pose_predictor = dlib.shape_predictor(predictor_model) | |
face_aligner = openface.AlignDlib(predictor_model) | |
# Take the image file name from the command line | |
file_name = sys.argv[1] | |
# Load the image | |
image = cv2.imread(file_name) | |
# Run the HOG face detector on the image data | |
detected_faces = face_detector(image, 1) | |
print("Found {} faces in the image file {}".format(len(detected_faces), file_name)) | |
# Loop through each face we found in the image | |
for i, face_rect in enumerate(detected_faces): | |
# Detected faces are returned as an object with the coordinates | |
# of the top, left, right and bottom edges | |
print("- Face #{} found at Left: {} Top: {} Right: {} Bottom: {}".format(i, face_rect.left(), face_rect.top(), face_rect.right(), face_rect.bottom())) | |
# Get the the face's pose | |
pose_landmarks = face_pose_predictor(image, face_rect) | |
# Use openface to calculate and perform the face alignment | |
alignedFace = face_aligner.align(534, image, face_rect, landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE) | |
# Save the aligned image to a file | |
cv2.imwrite("aligned_face_{}.jpg".format(i), alignedFace) | |
To install openface, follow the below instructions:
- git clone https://github.com/cmusatyalab/openface.git
- cd openface
- pip install -r requirements.txt
- sudo python setup.py install
To download the trained model:
- sh models/get-models.sh
Those installation steps don't work for me on mac. "import dlib" fails, and "import openface" fails with opencv dependency.
Also, those installation steps don't work on windows. Maybe only support ubantu linux.
I think you can try to use anaconda, and then follow the steps here to install dlib, openface.(https://github.com/samotiian/Installing_openface_with_anaconda)
And for those who can't install opencv library correctly, you can also use conda to install it by type the below command in your terminal:
conda install -c https://conda.binstar.org/menpo opencv3
I hope its helpful.
The problem that I'm experiencing is different:
24 # Run the HOG face detector on the image data
---> 25 detected_faces = face_detector(image, 1)
26
27 print("Found {} faces in the image file {}".format(len(detected_faces), file_name))
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.
I've tried all that is suggested in ageitgey/face_recognition#21
,but couldn't fix it. Please help!
Thank you!
@karthikveermani it's better if you use Ubuntu for doing this project as in case of mac there are different, more complicated ways to install the dependencies.. I have a mac but i run ubuntu on vm
file_name = sys.argv[1]
has been written two times. It only needs to be written once.
I am getting the error AttributeError: module 'openface' has no attribute 'AlignDlib'
. Am I missing something here?
import openface
works fine.
Hello! does someone know how to install openface on windows ?
I've solved the issue
i have the same error as @nishantkumar1292 : AttributeError: module 'openface' has no attribute 'AlignDlib'
All the steps work fine but when i run the script i got this error.
I am on ubuntu
I also had the "AttributeError: module 'openface' has no attribute 'AlignDlib'" error.
I installed python 3.4 and made sure all the modules/packages needed for the openface are versions in the required range (requirements.txt), and now it works!
I keep getting the following error:
Traceback (most recent call last): File "detect_face_alignment.py", line 15, in <module> detected = frontal_face_detector(img, 1) RuntimeError: Expected writable numpy.ndarray with shape set.
My code matches what is written here. Any ideas as to what I could be doing wrong?
Hi @asthanakarishma, looks like you are also doing something else. Can you share your complete code here.
Hi,
I have a small problem and I have no idea how to solve it in a right way (actually I have, but not sure that it is correct).
Let's suppose that we need to get landmarks from the aligned image. To do that we need:
- find a face on the image using
face_detector
- align image using
face_aligner
- find face on aligned image using
face_detector
again - obtain the landmarks with usage
face_pose_predictor
And here the problem: face_detector
returns empty dlib.rectangles
object on aligned image. So, I am not able to use face_pose_predictor
because it requires face rectangle which is absent.
My idea is that I can omit step #3 and use face_pose_predictor
on aligned image without searching for the face on it. And the bounding box for landmarks detection specify as [[0, 0], [aligned_height, aligned_width]]
. But I'm not confident that this is a correct way to deal with the problem.
There's something I don't understand:
In your article, it says "here’s the code for transforming the image using those landmarks.“.
but from my understanding of the source code. the transforming doesn't use any landmarks at all?
can you explain how?
Hey where can I find full project
PLEASE give the link
I want to add to nitish11's comment above on installing openface. His instructions worked for me. I am using Anaconda (though that may not be necessary).
Opened command window from Anaconda.
Installed git using "conda install -c anaconda git".
Then executed nitish11's steps. Did not need to use sudo.
To install openface, follow the below instructions:
- git clone https://github.com/cmusatyalab/openface.git
- cd openface
- pip install -r requirements.txt
- sudo python setup.py install
To download the trained model:
- sh models/get-models.sh
Thank you
I have installed openface but when I got an error just like below when I run it :
Traceback (most recent call last):
File "step2.py", line 16, in <module>
face_aligner = openface.AlignDlib(predictor_model)
AttributeError: module 'openface' has no attribute 'AlignDlib'
note: the step2.py is the script. My system: ubuntu 20.04
how I supose do?
The problem that I'm experiencing is different:
24 # Run the HOG face detector on the image data ---> 25 detected_faces = face_detector(image, 1) 26 27 print("Found {} faces in the image file {}".format(len(detected_faces), file_name))
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.
I've tried all that is suggested in ageitgey/face_recognition#21 ,but couldn't fix it. Please help! Thank you!
hi get try
image.astype('uint8')
hi, ageitgey,
how to install openface library?