From ea1497e35d9a9e7cf834377eb40e6038a9b07bc4 Mon Sep 17 00:00:00 2001 From: Sefik Ilkin Serengil Date: Thu, 24 Jun 2021 16:09:34 +0300 Subject: [PATCH] eye detection procedure --- deepface/detectors/OpenCvWrapper.py | 4 ++-- tests/unit_tests.py | 3 ++- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/deepface/detectors/OpenCvWrapper.py b/deepface/detectors/OpenCvWrapper.py index 7e4aeef..fd7dca5 100644 --- a/deepface/detectors/OpenCvWrapper.py +++ b/deepface/detectors/OpenCvWrapper.py @@ -67,7 +67,7 @@ def align_face(eye_detector, img): if len(eyes) >= 2: #find the largest 2 eye - + """ base_eyes = eyes[:, 2] items = [] @@ -78,7 +78,7 @@ def align_face(eye_detector, img): 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[0:2] #----------------------- diff --git a/tests/unit_tests.py b/tests/unit_tests.py index e3e9b5b..f4d2fca 100644 --- a/tests/unit_tests.py +++ b/tests/unit_tests.py @@ -181,8 +181,9 @@ dataset = [ ] #models = ['VGG-Face', 'Facenet', 'OpenFace', 'DeepFace', 'DeepID', 'Dlib', 'ArcFace'] -models = ['VGG-Face', 'Facenet', 'Dlib', 'ArcFace'] #those are robust models metrics = ['cosine', 'euclidean', 'euclidean_l2'] +models = ['VGG-Face', 'Facenet', 'Dlib', 'ArcFace'] #those are robust models +#metrics = ['cosine'] passed_tests = 0; test_cases = 0