JeVoisBase
1.23
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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Public Member Functions | |
__init__ (self, yoloModel, device='cpu') | |
forward (self, x, txt_feats) | |
export (self, output_dir, model_name, img_width, img_height, num_classes) | |
Public Attributes | |
model | |
device | |
Definition at line 15 of file yolo-jevois-export.py.
yolo-jevois-export.ModelExporter.__init__ | ( | self, | |
yoloModel, | |||
device = 'cpu' |
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) |
Definition at line 16 of file yolo-jevois-export.py.
References yolo-jevois-export.ModelExporter.__init__().
Referenced by yolo-jevois-export.ModelExporter.__init__().
yolo-jevois-export.ModelExporter.export | ( | self, | |
output_dir, | |||
model_name, | |||
img_width, | |||
img_height, | |||
num_classes | |||
) |
Definition at line 31 of file yolo-jevois-export.py.
References yolo-jevois-export.ModelExporter.device.
yolo-jevois-export.ModelExporter.forward | ( | self, | |
x, | |||
txt_feats | |||
) |
Definition at line 28 of file yolo-jevois-export.py.
References TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.model, yolo-jevois-export.ModelExporter.model, PyNetKSNN.PyNetKSNN.model, PyNetOpenCV.PyNetOpenCV.model, PyNetORT.PyNetORT.model, PyNetURetinex.PyNetURetinex.model, PyClassificationDNN.PyClassificationDNN.model, PyCoralClassify.PyCoralClassify.model, PyCoralDetect.PyCoralDetect.model, PyCoralSegment.PyCoralSegment.model, PyDetectionDNN.PyDetectionDNN.model, PyEmotion.PyEmotion.model, and PyLicensePlate.PyLicensePlate.model.
yolo-jevois-export.ModelExporter.device |
Definition at line 26 of file yolo-jevois-export.py.
Referenced by yolo-jevois-export.ModelExporter.export().
yolo-jevois-export.ModelExporter.model |
Definition at line 25 of file yolo-jevois-export.py.
Referenced by lpd_yunet.LPD_YuNet.__init__(), yolo-jevois-export.ModelExporter.forward(), PyNetKSNN.PyNetKSNN.freeze(), PyNetOpenCV.PyNetOpenCV.freeze(), PyNetORT.PyNetORT.freeze(), PyNetURetinex.PyNetURetinex.freeze(), mobilenet_v1.MobileNetV1.infer(), mobilenet_v2.MobileNetV2.infer(), lpd_yunet.LPD_YuNet.infer(), mp_palmdet.MPPalmDet.infer(), PyNetKSNN.PyNetKSNN.load(), PyNetOpenCV.PyNetOpenCV.load(), PyNetORT.PyNetORT.load(), PyNetURetinex.PyNetURetinex.load(), PyClassificationDNN.PyClassificationDNN.process(), PyCoralClassify.PyCoralClassify.process(), PyCoralDetect.PyCoralDetect.process(), PyCoralSegment.PyCoralSegment.process(), PyDetectionDNN.PyDetectionDNN.process(), PyCoralClassify.PyCoralClassify.processGUI(), PyCoralDetect.PyCoralDetect.processGUI(), PyCoralSegment.PyCoralSegment.processGUI(), PyLicensePlate.PyLicensePlate.processGUI(), mobilenet_v1.MobileNetV1.setBackend(), mobilenet_v2.MobileNetV2.setBackend(), lpd_yunet.LPD_YuNet.setBackend(), mp_palmdet.MPPalmDet.setBackend(), mobilenet_v1.MobileNetV1.setTarget(), mobilenet_v2.MobileNetV2.setTarget(), lpd_yunet.LPD_YuNet.setTarget(), and mp_palmdet.MPPalmDet.setTarget().