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I am currently trying to build an emotion recognition system to work using the DeepFace library. I was able to get the face being detected first by initially using this code:
`import cv2
from deep…
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Hi, Do you now about the threshold values corresponding to FMR=0.1% for FaceNet and ArcFace models using Euclidean L2 distance?
Thanks,
sbnsl updated
2 years ago
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Hello, I'm experimenting DeepFace for emotion recognition, but when I try to analyze an image I get the following exception:
`ResourceExhaustedError: failed to allocate memory [Op:AddV2]`
Many p…
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Hey i have nvidia 1070 GPU can you guide me to run this on gpu
i Tried
`Deepface.allocateMemory() `
but it saying it will run on CPU. let me know the necessary tools as well as settings required t…
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Please advise me. I was running the unit_tests.py. The output reports the following error:
File "D:\emotions\libro tesis\papers\deepface\tests\unit_tests.py", line 33, in
img = DeepFace.detec…
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please tell me the strategies to improve the face verification on a new dataset other than threshold finetuning.
Is there a way to retrain the models?
sri9s updated
2 years ago
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**Environment**
* pip version: 20.1.1
* Python version: 3.7.7
* OS: Windows 10
Newly Created Virtual Environment 'face',
Package Version
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numpy 1.18.5
pip …
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Hey, thanks for your great library.
Do you plan to integrate better performing models for gender prediction/age estimation? Because DeepFace, which is used for Face Analysis(Gender, Age,...), is quit…
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When using retinaface as backend_detector in DeepFace.stream, like this:
DeepFace.stream("database", detector_backend = 'retinaface',enable_face_analysis=False,
frame_threshold=2,time_threshold=2,…
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```
img = BytesIO(requests.get(image.url).content)
frame_byte = bytearray(urllib.request.urlopen(data.image.url).read())
np_array = numpy.asarray(frame_byte, dtype=numpy.uint8)
frame = cv2.imdecod…