Issue with using deepface with flask in server about deepface HOT 4 CLOSED

please confirm that you are running the api for the following environment

tensorflow==1.9.0
keras==2.2.0

from deepface.

Yes, I am using the same versions of tensorflow and keras.

from deepface.

I have the same problem. By default if you have a clean environment (only python 3.6) and then you will run the following command "pip install deepface" you will get tensorflow 2.2.

I manage to overcome this issue using the following commands (install tensorflow==1.9.0
keras==2.2.0):

pip install --no-cache-dir -r requirements.txt
pip install deepface

requirements.txt

If you prefer docker below you can find my Dockerfile:

FROM python:3.6
WORKDIR /usr/src/app

COPY requirements.txt ./
COPY deepface-cache/ /root/.deepface/  #in order not to download .h5 files every time. You have to downloaded once in deepface-cache first. You can also comment this line

RUN pip install --no-cache-dir -r requirements.txt
RUN pip install deepface

COPY api.py ./

CMD [ "python", "./api.py" ]

Finally you have to build the image and run it:
docker run -p 5000:5000 --restart unless-stopped -d deepfaceapi:latest

from deepface.

@mviennas thank you for the solution. I'm going to update setup.py and requirements.txt.

from deepface.