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- Added doReverted keras.models

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- Running test_nonbinary_gender.py in unit_tests.py
This commit is contained in:
sasael 2022-06-22 15:34:39 +03:00
parent 449bea3770
commit 2135941912
4 changed files with 35 additions and 25 deletions
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2
deepface/basemodels/ArcFace.py
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@ -23,7 +23,7 @@ def loadModel(url = 'https://github.com/serengil/deepface_models/releases/downlo
arcface_model = keras.layers.Flatten()(arcface_model)
arcface_model = keras.layers.Dense(512, activation=None, use_bias=True, kernel_initializer="glorot_normal")(arcface_model)
embedding = keras.layers.BatchNormalization(momentum=0.9, epsilon=2e-5, name="embedding", scale=True)(arcface_model)
model = keras.detectors.Model(inputs, embedding, name=base_model.name)
model = keras.models.Model(inputs, embedding, name=base_model.name)
#---------------------------------------
#check the availability of pre-trained weights

1
deepface/extendedmodels/Gender.py
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@ -18,6 +18,7 @@ elif tf_version == 2:
#url = 'https://drive.google.com/uc?id=1wUXRVlbsni2FN9-jkS_f4UTUrm1bRLyk'
def loadModel(url = 'https://github.com/serengil/deepface_models/releases/download/v1.0/gender_model_weights.h5'):
model = VGGFace.baseModel()

29
tests/test_nonbinary_gender.py
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@ -1,25 +1,25 @@
from deepface import DeepFace
dataset = [
'https://datasets-626827236627.s3.amazonaws.com/avatars/orly-hamzani-046368aa_06122022.jpg?AWSAccessKeyId=ASIAZD4OQSUJ3IBDFZUN&Signature=pnRMEwKHNA5PfwDgHNoGavUxZvM%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEID%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCfwrDPDOtQ7qval0EdjUQEhah2PvnNeJmO3KqjRmSzzQIhALmpYTK%2BIGxCNwfBBqtqCvme8cAhS6S2LCc6ti4rHC6VKtsECIn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQARoMNjI2ODI3MjM2NjI3IgxmYcKEgfQcYn6Ktf0qrwSTcdMXW6jBfrKQn1FtoasmBah2JYCy2X%2Bb07cLFKKNrwH7YLFlCoXiKWP6ntzrm0R2wSsr%2BTmn6RH8WoiXnnaC%2BagFiyUdqPlTdBGy2L%2BO2EKBNA0FnRx%2FnHR0rLG%2Fmcv7cSVcG%2Bsthv5nVSafUgDlQ8dLlcW%2FiGk10eSSAM2tMcUOPyoOLlsSJ%2B0RiSppJEhy3%2F5S63p7RT2fVdlSE1XH%2BnQYvIoUEw0uB3rVywTMknFFi7h8teki%2BGE%2BuONqcHwxSjfnDE53DzZZmmZ%2F5yW2TiK3KbbV974PVgGxA4epRwFCGKqmf7%2FeQCxjmOhPpvXL%2FWiltAIIxtUxlx6IL6IfTsf8i0bVU9cO4Jj14r5%2BdGt96h%2FHGftm%2BdBp1v7JD0vBIxiwFFgv073YjBBmg4gUoryI%aqaaaaaaaa',
'https://datasets-626827236627.s3.amazonaws.com/avatars/%25D7%25A9%25D7%2599-%25D7%259E%25D7%2595%25D7%25A2%25D7%259C%25D7%259D-011174120_06122022.jpg?AWSAccessKeyId=ASIAZD4OQSUJ3IBDFZUN&Signature=QPaXXLUwBvflmxMEcJ98TiSvMTk%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEID%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCfwrDPDOtQ7qval0EdjUQEhah2PvnNeJmO3KqjRmSzzQIhALmpYTK%2BIGxCNwfBBqtqCvme8cAhS6S2LCc6ti4rHC6VKtsECIn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQARoMNjI2ODI3MjM2NjI3IgxmYcKEgfQcYn6Ktf0qrwSTcdMXW6jBfrKQn1FtoasmBah2JYCy2X%2Bb07cLFKKNrwH7YLFlCoXiKWP6ntzrm0R2wSsr%2BTmn6RH8WoiXnnaC%2BagFiyUdqPlTdBGy2L%2BO2EKBNA0FnRx%2FnHR0rLG%2Fmcv7cSVcG%2Bsthv5nVSafUgDlQ8dLlcW%2FiGk10eSSAM2tMcUOPyoOLlsSJ%2B0RiSppJEhy3%2F5S63p7RT2fVdlSE1XH%2BnQYvIoUEw0uB3rVywTMknFFi7h8teki%2BGE%2BuONqcHwxSjfnDE53DzZZmmZ%2F5yW2TiK3KbbV974PVgGxA4epRwFCGKqmf7%2FeQCxjmOhPpvXL%2FWiltAIIxtUxlx6IL6IfTsf8i0bVU9cO4Jj14r5%2BdGt96h%2FHGftm%2BdBp1v7JD0vBIxiwFFgv073YjBBmg4gUoryI%2BKaWwf8ISc%2FNtJEg5e2ouslYm4GYYkDFosaYv1WIPztmWybvGeERGlpJg4apsJMEp2McrL7bT1dRPYRSiK9IZYSLXiW3gUnN3KpV62xDD6x5Y1ZZOw92dri5YdHu%2FyPUtn2JaZGDsgKNsSu2QuxFnDK5kiJJjeykTJPGEmqoP7EynzBnD3uCDGj3pH8GBseU8MR2fkHn%2F8ARqpwx%2F8U34XMTUgFX%2BQSCw6qEuFbDCMngyMAngFR2aF6aAqq7Oms1A61bKaGjHCzsEEyEhamLbpvqbGwjN7vrQhuiU6VsKLSnozfUI9eiGFGdko4xmXxbJkuPJHHiAEEtJoKSMPf8oJUGOqgB%2BS48LRDY83OvX5W2mX%2FTqb9UvUdwE9VB2HBQ11mkE36LD9BtOyLhxaFuMYFOUqk1JBKatWSV49UlQUZuRnEFnNmlB4v2zLX3qQ6WjbkZsGIGUynNugAGbtoxqHW9wWklimJKha1nDv3JmF4vDlfWMLfCe42Kth0gxEpXmMkdjY%2BSdJm%2FeELOzTqFrp3yMm%2FziDttBzx3mZnHgz0qaZIEp0BVmn4kSRH5&Expires=1655198312',
'https://datasets-626827236627.s3.amazonaws.com/avatars/orly-hamzani-046368aa_06122022.jpg?AWSAccessKeyId=ASIAZD4OQSUJ3IBDFZUN&Signature=pnRMEwKHNA5PfwDgHNoGavUxZvM%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEID%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCfwrDPDOtQ7qval0EdjUQEhah2PvnNeJmO3KqjRmSzzQIhALmpYTK%2BIGxCNwfBBqtqCvme8cAhS6S2LCc6ti4rHC6VKtsECIn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQARoMNjI2ODI3MjM2NjI3IgxmYcKEgfQcYn6Ktf0qrwSTcdMXW6jBfrKQn1FtoasmBah2JYCy2X%2Bb07cLFKKNrwH7YLFlCoXiKWP6ntzrm0R2wSsr%2BTmn6RH8WoiXnnaC%2BagFiyUdqPlTdBGy2L%2BO2EKBNA0FnRx%2FnHR0rLG%2Fmcv7cSVcG%2Bsthv5nVSafUgDlQ8dLlcW%2FiGk10eSSAM2tMcUOPyoOLlsSJ%2B0RiSppJEhy3%2F5S63p7RT2fVdlSE1XH%2BnQYvIoUEw0uB3rVywTMknFFi7h8teki%2BGE%2BuONqcHwxSjfnDE53DzZZmmZ%2F5yW2TiK3KbbV974PVgGxA4epRwFCGKqmf7%2FeQCxjmOhPpvXL%2FWiltAIIxtUxlx6IL6IfTsf8i0bVU9cO4Jj14r5%2BdGt96h%2FHGftm%2BdBp1v7JD0vBIxiwFFgv073YjBBmg4gUoryI%2BKaWwf8ISc%2FNtJEg5e2ouslYm4GYYkDFosaYv1WIPztmWybvGeERGlpJg4apsJMEp2McrL7bT1dRPYRSiK9IZYSLXiW3gUnN3KpV62xDD6x5Y1ZZOw92dri5YdHu%2FyPUtn2JaZGDsgKNsSu2QuxFnDK5kiJJjeykTJPGEmqoP7EynzBnD3uCDGj3pH8GBseU8MR2fkHn%2F8ARqpwx%2F8U34XMTUgFX%2BQSCw6qEuFbDCMngyMAngFR2aF6aAqq7Oms1A61bKaGjHCzsEEyEhamLbpvqbGwjN7vrQhuiU6VsKLSnozfUI9eiGFGdko4xmXxbJkuPJHHiAEEtJoKSMPf8oJUGOqgB%2BS48LRDY83OvX5W2mX%2FTqb9UvUdwE9VB2HBQ11mkE36LD9BtOyLhxaFuMYFOUqk1JBKatWSV49UlQUZuRnEFnNmlB4v2zLX3qQ6WjbkZsGIGUynNugAGbtoxqHW9wWklimJKha1nDv3JmF4vDlfWMLfCe42Kth0gxEpXmMkdjY%2BSdJm%2FeELOzTqFrp3yMm%2FziDttBzx3mZnHgz0qaZIEp0BVmn4kSRH5&Expires=1655199524',
# 'dataset/img1.jpg',
# 'dataset/img5.jpg',
# 'dataset/img6.jpg',
# 'dataset/img8.jpg',
# 'dataset/img7.jpg',
# 'dataset/img9.jpg',
# 'dataset/img11.jpg',
# 'dataset/img11.jpg',
'dataset/img1.jpg',
'dataset/img5.jpg',
'dataset/img6.jpg',
'dataset/img7.jpg',
'dataset/img9.jpg',
'dataset/img11.jpg',
'dataset/img11.jpg',
]
detectors = ['opencv', 'ssd', 'retinaface', 'mtcnn'] # dlib not tested
def test_gender_prediction():
detectors = ['opencv', 'ssd', 'retinaface', 'mtcnn'] # dlib not tested
for detector in detectors:
results = DeepFace.analyze(dataset, actions=('gender',), detector_backend=detector, prog_bar=False, enforce_detection=False)
test_gender_prediction_with_detector(detector)
def test_gender_prediction_with_detector(detector):
results = DeepFace.analyze(dataset, actions=('gender',), detector_backend=detector, prog_bar=False,
enforce_detection=False)
for result in results:
assert 'gender' in result.keys()
assert 'dominant_gender' in result.keys() and result["dominant_gender"] in ["Man", "Woman"]
@ -28,6 +28,7 @@ def test_gender_prediction():
else:
assert result["gender"]["Man"] < result["gender"]["Woman"]
print(f'detector {detector} passed')
return True
if __name__ == "__main__":

8
tests/unit_tests.py
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@ -3,6 +3,7 @@ import os
import tensorflow as tf
import cv2
from deepface import DeepFace
from tests.test_nonbinary_gender import test_gender_prediction, test_gender_prediction_with_detector
print("-----------------------------------------")
@ -206,7 +207,14 @@ def test_cases():
print("--------------------------")
def run_gender_prediction_test():
for detector in detectors:
evaluate(test_gender_prediction_with_detector(detector))
test_cases()
run_gender_prediction_test()
print("num of test cases run: " + str(num_cases))
print("succeeded test cases: " + str(succeed_cases))