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eye detection procedure

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This commit is contained in:
Sefik Ilkin Serengil 2021-06-24 16:09:34 +03:00
parent 3cc950480c
commit ea1497e35d
2 changed files with 4 additions and 3 deletions
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4
deepface/detectors/OpenCvWrapper.py
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@ -67,7 +67,7 @@ def align_face(eye_detector, img):
if len(eyes) >= 2: if len(eyes) >= 2:
#find the largest 2 eye #find the largest 2 eye
"""
base_eyes = eyes[:, 2] base_eyes = eyes[:, 2]
items = [] items = []
@ -78,7 +78,7 @@ def align_face(eye_detector, img):
df = pd.DataFrame(items, columns = ["length", "idx"]).sort_values(by=['length'], ascending=False) df = pd.DataFrame(items, columns = ["length", "idx"]).sort_values(by=['length'], ascending=False)
eyes = eyes[df.idx.values[0:2]] #eyes variable stores the largest 2 eye eyes = eyes[df.idx.values[0:2]] #eyes variable stores the largest 2 eye
"""
#eyes = eyes[0:2] #eyes = eyes[0:2]
#----------------------- #-----------------------

3
tests/unit_tests.py
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@ -181,8 +181,9 @@ dataset = [
] ]
#models = ['VGG-Face', 'Facenet', 'OpenFace', 'DeepFace', 'DeepID', 'Dlib', 'ArcFace'] #models = ['VGG-Face', 'Facenet', 'OpenFace', 'DeepFace', 'DeepID', 'Dlib', 'ArcFace']
models = ['VGG-Face', 'Facenet', 'Dlib', 'ArcFace'] #those are robust models
metrics = ['cosine', 'euclidean', 'euclidean_l2'] metrics = ['cosine', 'euclidean', 'euclidean_l2']
models = ['VGG-Face', 'Facenet', 'Dlib', 'ArcFace'] #those are robust models
#metrics = ['cosine']
passed_tests = 0; test_cases = 0 passed_tests = 0; test_cases = 0