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dlib, mtcnn and lgbm optional

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This commit is contained in:
Şefik Serangil 2020-09-17 20:27:42 +03:00
parent f3de735d72
commit 33fe352930
3 changed files with 4 additions and 7 deletions
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2
deepface/basemodels/DlibResNet.py
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@ -1,4 +1,4 @@
import dlib
import dlib #19.20.0
import os
import zipfile
import bz2

4
deepface/commons/functions.py
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@ -18,7 +18,6 @@ import tensorflow as tf
import keras
import bz2
from deepface.commons import distance
from mtcnn import MTCNN
def loadBase64Img(uri):
encoded_data = uri.split(',')[1]
@ -276,7 +275,7 @@ def detect_face(img, detector_backend = 'opencv', grayscale = False, enforce_det
raise ValueError("Face could not be detected. Please confirm that the picture is a face photo or consider to set enforce_detection param to False.")
elif detector_backend == 'mtcnn':
from mtcnn import MTCNN #0.1.0
mtcnn_detector = MTCNN()
detections = mtcnn_detector.detect_faces(img)
@ -432,6 +431,7 @@ def align_face(img, detector_backend = 'opencv'):
elif detector_backend == 'mtcnn':
from mtcnn import MTCNN #0.1.0
mtcnn_detector = MTCNN()
detections = mtcnn_detector.detect_faces(img)

3
requirements.txt
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@ -7,6 +7,3 @@ opencv-python>=3.4.4
tensorflow>=1.9.0
keras>=2.2.0
Flask>=1.1.2
lightgbm>=2.3.1
dlib>=19.20.0
mtcnn>=0.1.0