JeVoisBase  1.21
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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Public Member Functions | Public Attributes | Protected Member Functions | List of all members
mobilenet_v1.MobileNetV1 Class Reference

Public Member Functions

 __init__ (self, modelPath, labelPath, backendId=0, targetId=0)
 
 name (self)
 
 setBackend (self, backendId)
 
 setTarget (self, targetId)
 
 infer (self, image)
 

Public Attributes

 model_path
 
 label_path
 
 backend_id
 
 target_id
 
 model
 
 input_names
 
 output_names
 
 input_size
 
 mean
 
 std
 
 labels
 

Protected Member Functions

 _load_labels (self)
 
 _preprocess (self, image)
 
 _postprocess (self, output_blob)
 

Detailed Description

Definition at line 4 of file mobilenet_v1.py.

Constructor & Destructor Documentation

◆ __init__()

mobilenet_v1.MobileNetV1.__init__ (   self,
  modelPath,
  labelPath,
  backendId = 0,
  targetId = 0 
)

Definition at line 5 of file mobilenet_v1.py.

Member Function Documentation

◆ _load_labels()

mobilenet_v1.MobileNetV1._load_labels (   self)
protected

Definition at line 24 of file mobilenet_v1.py.

References mobilenet_v1.MobileNetV1.label_path, and mobilenet_v2.MobileNetV2.label_path.

◆ _postprocess()

mobilenet_v1.MobileNetV1._postprocess (   self,
  output_blob 
)
protected

Definition at line 63 of file mobilenet_v1.py.

References TensorFlow.labels, mobilenet_v1.MobileNetV1.labels, mobilenet_v2.MobileNetV2.labels, PyCoralClassify.PyCoralClassify.labels, and PyCoralDetect.PyCoralDetect.labels.

Referenced by pphumanseg.PPHumanSeg.infer(), mobilenet_v1.MobileNetV1.infer(), mobilenet_v2.MobileNetV2.infer(), ppresnet.PPResNet.infer(), lpd_yunet.LPD_YuNet.infer(), mp_palmdet.MPPalmDet.infer(), and crnn.CRNN.infer().

◆ _preprocess()

mobilenet_v1.MobileNetV1._preprocess (   self,
  image 
)
protected

Definition at line 43 of file mobilenet_v1.py.

References mobilenet_v1.MobileNetV1.mean, mobilenet_v2.MobileNetV2.mean, quantize-inc.Dataset.mean, transform.Normalize.mean, PyPreBlob.PyPreBlob.mean, PyClassificationDNN.PyClassificationDNN.mean, PyDetectionDNN.PyDetectionDNN.mean, PyEmotion.PyEmotion.mean, mobilenet_v1.MobileNetV1.std, mobilenet_v2.MobileNetV2.std, quantize-inc.Dataset.std, and transform.Normalize.std.

Referenced by pphumanseg.PPHumanSeg.infer(), mobilenet_v1.MobileNetV1.infer(), mobilenet_v2.MobileNetV2.infer(), ppresnet.PPResNet.infer(), lpd_yunet.LPD_YuNet.infer(), mp_palmdet.MPPalmDet.infer(), youtureid.YoutuReID.infer(), sface.SFace.infer(), and crnn.CRNN.infer().

◆ infer()

mobilenet_v1.MobileNetV1.infer (   self,
  image 
)

Definition at line 50 of file mobilenet_v1.py.

References lpd_yunet.LPD_YuNet._postprocess(), mobilenet_v1.MobileNetV1._postprocess(), mobilenet_v2.MobileNetV2._postprocess(), mp_palmdet.MPPalmDet._postprocess(), pphumanseg.PPHumanSeg._postprocess(), ppresnet.PPResNet._postprocess(), crnn.CRNN._postprocess(), pphumanseg.PPHumanSeg._preprocess(), mobilenet_v1.MobileNetV1._preprocess(), mobilenet_v2.MobileNetV2._preprocess(), ppresnet.PPResNet._preprocess(), lpd_yunet.LPD_YuNet._preprocess(), mp_palmdet.MPPalmDet._preprocess(), youtureid.YoutuReID._preprocess(), sface.SFace._preprocess(), crnn.CRNN._preprocess(), mobilenet_v1.MobileNetV1.input_names, mobilenet_v2.MobileNetV2.input_names, TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.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, PyLicensePlate.PyLicensePlate.model, mobilenet_v1.MobileNetV1.output_names, mobilenet_v2.MobileNetV2.output_names, and lpd_yunet.LPD_YuNet.output_names.

Referenced by sface.SFace.match(), and youtureid.YoutuReID.query().

◆ name()

mobilenet_v1.MobileNetV1.name (   self)

Definition at line 32 of file mobilenet_v1.py.

◆ setBackend()

mobilenet_v1.MobileNetV1.setBackend (   self,
  backendId 
)

Definition at line 35 of file mobilenet_v1.py.

References mobilenet_v1.MobileNetV1.backend_id, mobilenet_v2.MobileNetV2.backend_id, lpd_yunet.LPD_YuNet.backend_id, mp_palmdet.MPPalmDet.backend_id, TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.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.

◆ setTarget()

mobilenet_v1.MobileNetV1.setTarget (   self,
  targetId 
)

Definition at line 39 of file mobilenet_v1.py.

References TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.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, PyLicensePlate.PyLicensePlate.model, mobilenet_v1.MobileNetV1.target_id, mobilenet_v2.MobileNetV2.target_id, lpd_yunet.LPD_YuNet.target_id, and mp_palmdet.MPPalmDet.target_id.

Member Data Documentation

◆ backend_id

mobilenet_v1.MobileNetV1.backend_id

Definition at line 8 of file mobilenet_v1.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), mobilenet_v1.MobileNetV1.setBackend(), mobilenet_v2.MobileNetV2.setBackend(), lpd_yunet.LPD_YuNet.setBackend(), and mp_palmdet.MPPalmDet.setBackend().

◆ input_names

mobilenet_v1.MobileNetV1.input_names

Definition at line 15 of file mobilenet_v1.py.

Referenced by mobilenet_v1.MobileNetV1.infer(), and mobilenet_v2.MobileNetV2.infer().

◆ input_size

mobilenet_v1.MobileNetV1.input_size

Definition at line 17 of file mobilenet_v1.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), lpd_yunet.LPD_YuNet._decode(), mp_palmdet.MPPalmDet._postprocess(), mp_palmdet.MPPalmDet._preprocess(), lpd_yunet.LPD_YuNet._priorGen(), lpd_yunet.LPD_YuNet.infer(), and lpd_yunet.LPD_YuNet.setInputSize().

◆ label_path

mobilenet_v1.MobileNetV1.label_path

Definition at line 7 of file mobilenet_v1.py.

Referenced by mobilenet_v1.MobileNetV1._load_labels(), and mobilenet_v2.MobileNetV2._load_labels().

◆ labels

mobilenet_v1.MobileNetV1.labels

Definition at line 22 of file mobilenet_v1.py.

Referenced by mobilenet_v1.MobileNetV1._postprocess(), mobilenet_v2.MobileNetV2._postprocess(), PyCoralClassify.PyCoralClassify.process(), PyCoralDetect.PyCoralDetect.process(), PyCoralClassify.PyCoralClassify.processGUI(), and PyCoralDetect.PyCoralDetect.processGUI().

◆ mean

mobilenet_v1.MobileNetV1.mean

Definition at line 18 of file mobilenet_v1.py.

Referenced by transform.Normalize.__call__(), quantize-inc.Dataset.__getitem__(), mobilenet_v1.MobileNetV1._preprocess(), mobilenet_v2.MobileNetV2._preprocess(), PyPreBlob.PyPreBlob.process(), PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().

◆ model

mobilenet_v1.MobileNetV1.model

Definition at line 11 of file mobilenet_v1.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), 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(), 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().

◆ model_path

mobilenet_v1.MobileNetV1.model_path

Definition at line 6 of file mobilenet_v1.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), quantize-ort.Quantize.check_opset(), quantize-inc.Quantize.run(), and quantize-ort.Quantize.run().

◆ output_names

mobilenet_v1.MobileNetV1.output_names

Definition at line 16 of file mobilenet_v1.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), mobilenet_v1.MobileNetV1.infer(), mobilenet_v2.MobileNetV2.infer(), and lpd_yunet.LPD_YuNet.infer().

◆ std

mobilenet_v1.MobileNetV1.std

Definition at line 19 of file mobilenet_v1.py.

Referenced by transform.Normalize.__call__(), quantize-inc.Dataset.__getitem__(), mobilenet_v1.MobileNetV1._preprocess(), and mobilenet_v2.MobileNetV2._preprocess().

◆ target_id

mobilenet_v1.MobileNetV1.target_id

Definition at line 9 of file mobilenet_v1.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), mobilenet_v1.MobileNetV1.setTarget(), mobilenet_v2.MobileNetV2.setTarget(), lpd_yunet.LPD_YuNet.setTarget(), and mp_palmdet.MPPalmDet.setTarget().

The documentation for this class was generated from the following file: