def mobilenet_ssd():
path = 'models/'
prototxt = path + 'mo_mobilenet-ssd.xml'
weight = path + 'mo_mobilenet-ssd.bin'
size = (300, 300)
return Net(prototxt, weight, size)
def person_reid():
path = 'models/'
prototxt = path + 'person-reidentification-retail-0079.xml'
weight = path + 'person-reidentification-retail-0079.bin'
size = (64, 160)
return Net(prototxt, weight, size)
def face_detection():
path = 'models/'
prototxt = path + 'face-detection-retail-0005.xml'
weight = path + 'face-detection-retail-0005.bin'
size = (300, 300)
return Net(prototxt, weight, size)
def person_detection():
path = 'models/'
prototxt = path + 'person-detection-retail-0013.xml'
weight = path + 'person-detection-retail-0013.bin'
size = (544, 320)
return Net(prototxt, weight, size)
def face_reid():
path = 'models/'
prototxt = path + 'face-reidentification-retail-0095.xml'
weight = path + 'face-reidentification-retail-0095.bin'
size = (128, 128)
return Net(prototxt, weight, size)
def face_lanmark():
path = 'models/'
prototxt = path + 'landmarks-regression-retail-0009.xml'
weight = path + 'landmarks-regression-retail-0009.bin'
size = (48, 48)
return Net(prototxt, weight, size)
def person_reid():
path = 'D:/YandexDisk/Projects/OpenVINO/models/intel/person-reidentification-retail-0079/FP16/'
prototxt = path + 'person-reidentification-retail-0079.xml'
weight = path + 'person-reidentification-retail-0079.bin'
size = (64, 160)
net = Net(prototxt, weight, size)
return net
def person_detection():
path = 'D:/YandexDisk/Projects/OpenVINO/models/intel/person-detection-retail-0013/FP16/'
prototxt = path + 'person-detection-retail-0013.xml'
weight = path + 'person-detection-retail-0013.bin'
size = (544, 320)
net = Net(prototxt, weight, size)
return net
def face_reid():
path = 'D:/YandexDisk/Projects/OpenVINO/models/intel/face-reidentification-retail-0095/FP16/'
prototxt = path + 'face-reidentification-retail-0095.xml'
weight = path + 'face-reidentification-retail-0095.bin'
size = (128, 128)
net = Net(prototxt, weight, size)
return net
def face_lanmark():
path = 'D:/YandexDisk/Projects/OpenVINO/models/intel/landmarks-regression-retail-0009/FP16/'
prototxt = path + 'landmarks-regression-retail-0009.xml'
weight = path + 'landmarks-regression-retail-0009.bin'
size = (48, 48)
net = Net(prototxt, weight, size)
return net
def face_detection():
name = 'face-detection-retail-0005'
path = INTEL_MODELS_DIR + name + '/FP16/'
prototxt = path + name + '.xml'
weight = path + name + '.bin'
size = (300, 300)
net = Net(prototxt, weight, size)
return net