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Changed "face_recognition_demo" - fixing the device argument to accept AUTO: GPU,CPU style inputs for flexibility #4039

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Changed "face_recognition_demo" - fixing the device argument to accept AUTO: GPU,CPU style inputs for flexibility #4039

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f66baa7
face_recognition_demo: fix device argument to accept AUTO:GPU,CPU sty…
InfoSage05 Mar 31, 2026
e46d9ed
face_recognition_demo: fix AUTO plugin performance hint and HETERO va…
InfoSage05 Mar 31, 2026
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21 changes: 14 additions & 7 deletions demos/face_recognition_demo/python/face_recognition_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@

log.basicConfig(format='[ %(levelname)s ] %(message)s', level=log.DEBUG, stream=sys.stdout)

DEVICE_KINDS = ['CPU', 'GPU', 'HETERO']
DEVICE_KINDS = ['CPU', 'GPU', 'NPU', 'AUTO', 'HETERO']


def build_argparser():
Expand Down Expand Up @@ -94,15 +94,18 @@ def build_argparser():
'reshaping. Example: 500 700.')

infer = parser.add_argument_group('Inference options')
infer.add_argument('-d_fd', default='CPU', choices=DEVICE_KINDS,
infer.add_argument('-d_fd', default='CPU',
help='Optional. Target device for Face Detection model. '
'Default value is CPU.')
infer.add_argument('-d_lm', default='CPU', choices=DEVICE_KINDS,
'Default value is CPU. Use HETERO:<dev1>,<dev2> or '
'AUTO:<dev1>,<dev2> for heterogeneous/automatic execution.')
infer.add_argument('-d_lm', default='CPU',
help='Optional. Target device for Facial Landmarks Detection '
'model. Default value is CPU.')
infer.add_argument('-d_reid', default='CPU', choices=DEVICE_KINDS,
'model. Default value is CPU. Use HETERO:<dev1>,<dev2> or '
'AUTO:<dev1>,<dev2> for heterogeneous/automatic execution.')
infer.add_argument('-d_reid', default='CPU',
help='Optional. Target device for Face Reidentification '
'model. Default value is CPU.')
'model. Default value is CPU. Use HETERO:<dev1>,<dev2> or '
'AUTO:<dev1>,<dev2> for heterogeneous/automatic execution.')
infer.add_argument('-v', '--verbose', action='store_true',
help='Optional. Be more verbose.')
infer.add_argument('-t_fd', metavar='[0..1]', type=float, default=0.6,
Expand Down Expand Up @@ -207,6 +210,10 @@ def center_crop(frame, crop_size):
def main():
args = build_argparser().parse_args()

for arg_name, device in [('-d_fd', args.d_fd), ('-d_lm', args.d_lm), ('-d_reid', args.d_reid)]:
if device == 'HETERO':
raise ValueError('{} requires sub-devices, e.g. HETERO:GPU,CPU'.format(arg_name))

cap = open_images_capture(args.input, args.loop)
frame_processor = FrameProcessor(args)

Expand Down
3 changes: 2 additions & 1 deletion demos/face_recognition_demo/python/ie_module.py
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Expand Up @@ -30,7 +30,8 @@ def __init__(self, core, model_path, model_type):

def deploy(self, device, max_requests=1):
self.max_requests = max_requests
compiled_model = self.core.compile_model(self.model, device)
config = {"PERFORMANCE_HINT": "THROUGHPUT"} if device.startswith('AUTO') else {}
compiled_model = self.core.compile_model(self.model, device, config)
self.output_tensor = compiled_model.outputs[0]
self.infer_queue = AsyncInferQueue(compiled_model, self.max_requests)
self.infer_queue.set_callback(self.completion_callback)
Expand Down