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calling analysis without param bug

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This commit is contained in:
Şefik Serangil 2020-02-12 21:01:28 +03:00
parent 539198737a
commit b7ed1897f5
3 changed files with 9 additions and 3 deletions
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5
deepface/DeepFace.py
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@ -122,8 +122,6 @@ def analyze(img_path, actions= []):
print("Actions to do: ", actions) print("Actions to do: ", actions)
img = functions.detectFace(img_path, (224, 224))
#TO-DO: do this in parallel #TO-DO: do this in parallel
pbar = tqdm(range(0,len(actions)), desc='Finding actions') pbar = tqdm(range(0,len(actions)), desc='Finding actions')
@ -163,6 +161,7 @@ def analyze(img_path, actions= []):
resp_obj += emotion_obj resp_obj += emotion_obj
elif action == 'age': elif action == 'age':
img = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
#print("age prediction") #print("age prediction")
model = Age.loadModel() model = Age.loadModel()
age_predictions = model.predict(img)[0,:] age_predictions = model.predict(img)[0,:]
@ -171,6 +170,7 @@ def analyze(img_path, actions= []):
resp_obj += "\"age\": %s" % (apparent_age) resp_obj += "\"age\": %s" % (apparent_age)
elif action == 'gender': elif action == 'gender':
img = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
#print("gender prediction") #print("gender prediction")
model = Gender.loadModel() model = Gender.loadModel()
@ -184,6 +184,7 @@ def analyze(img_path, actions= []):
resp_obj += "\"gender\": \"%s\"" % (gender) resp_obj += "\"gender\": \"%s\"" % (gender)
elif action == 'race': elif action == 'race':
img = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
model = Race.loadModel() model = Race.loadModel()
race_predictions = model.predict(img)[0,:] race_predictions = model.predict(img)[0,:]
race_labels = ['asian', 'indian', 'black', 'white', 'middle eastern', 'latino hispanic'] race_labels = ['asian', 'indian', 'black', 'white', 'middle eastern', 'latino hispanic']

2
setup.py
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@ -5,7 +5,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
setuptools.setup( setuptools.setup(
name="deepface", name="deepface",
version="0.0.2", version="0.0.3",
author="Sefik Ilkin Serengil", author="Sefik Ilkin Serengil",
author_email="serengil@gmail.com", author_email="serengil@gmail.com",
description="Deep Face Anaylsis Framework for Face Recognition and Demography", description="Deep Face Anaylsis Framework for Face Recognition and Demography",

5
tests/unit_tests.py
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@ -6,6 +6,11 @@ import json
print("Facial analysis tests") print("Facial analysis tests")
img = "dataset/img4.jpg" img = "dataset/img4.jpg"
demography = DeepFace.analyze(img)
print(demography)
#-----------------------------------------
demography = DeepFace.analyze(img, ['age', 'gender', 'race', 'emotion']) demography = DeepFace.analyze(img, ['age', 'gender', 'race', 'emotion'])
print("Demography:") print("Demography:")