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
mp_palmdet.MPPalmDet Class Reference

Public Member Functions

 __init__ (self, modelPath, nmsThreshold=0.3, scoreThreshold=0.5, backendId=0, targetId=0)
 
 name (self)
 
 setBackend (self, backendId)
 
 setTarget (self, targetId)
 
 infer (self, image)
 

Public Attributes

 model_path
 
 nms_threshold
 
 score_threshold
 
 backend_id
 
 target_id
 
 input_size
 
 model
 
 anchors
 

Protected Member Functions

 _preprocess (self, image)
 
 _postprocess (self, output_blob, original_shape)
 
 _load_anchors (self)
 

Detailed Description

Definition at line 4 of file mp_palmdet.py.

Constructor & Destructor Documentation

◆ __init__()

mp_palmdet.MPPalmDet.__init__ (   self,
  modelPath,
  nmsThreshold = 0.3,
  scoreThreshold = 0.5,
  backendId = 0,
  targetId = 0 
)

Definition at line 5 of file mp_palmdet.py.

Member Function Documentation

◆ _load_anchors()

mp_palmdet.MPPalmDet._load_anchors (   self)
protected

Definition at line 83 of file mp_palmdet.py.

◆ _postprocess()

mp_palmdet.MPPalmDet._postprocess (   self,
  output_blob,
  original_shape 
)
protected

Definition at line 55 of file mp_palmdet.py.

References mp_palmdet.MPPalmDet.anchors, mobilenet_v1.MobileNetV1.input_size, mobilenet_v2.MobileNetV2.input_size, lpd_yunet.LPD_YuNet.input_size, mp_palmdet.MPPalmDet.input_size, lpd_yunet.LPD_YuNet.nms_threshold, mp_palmdet.MPPalmDet.nms_threshold, and mp_palmdet.MPPalmDet.score_threshold.

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()

mp_palmdet.MPPalmDet._preprocess (   self,
  image 
)
protected

Definition at line 32 of file mp_palmdet.py.

References mobilenet_v1.MobileNetV1.input_size, mobilenet_v2.MobileNetV2.input_size, lpd_yunet.LPD_YuNet.input_size, and mp_palmdet.MPPalmDet.input_size.

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()

mp_palmdet.MPPalmDet.infer (   self,
  image 
)

Definition at line 40 of file mp_palmdet.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(), 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.

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

◆ name()

mp_palmdet.MPPalmDet.name (   self)

Definition at line 21 of file mp_palmdet.py.

◆ setBackend()

mp_palmdet.MPPalmDet.setBackend (   self,
  backendId 
)

Definition at line 24 of file mp_palmdet.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()

mp_palmdet.MPPalmDet.setTarget (   self,
  targetId 
)

Definition at line 28 of file mp_palmdet.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

◆ anchors

mp_palmdet.MPPalmDet.anchors

Definition at line 18 of file mp_palmdet.py.

Referenced by mp_palmdet.MPPalmDet._postprocess().

◆ backend_id

mp_palmdet.MPPalmDet.backend_id

Definition at line 9 of file mp_palmdet.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_size

mp_palmdet.MPPalmDet.input_size

Definition at line 12 of file mp_palmdet.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().

◆ model

mp_palmdet.MPPalmDet.model

Definition at line 14 of file mp_palmdet.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

mp_palmdet.MPPalmDet.model_path

Definition at line 6 of file mp_palmdet.py.

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

◆ nms_threshold

mp_palmdet.MPPalmDet.nms_threshold

Definition at line 7 of file mp_palmdet.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), lpd_yunet.LPD_YuNet._postprocess(), and mp_palmdet.MPPalmDet._postprocess().

◆ score_threshold

mp_palmdet.MPPalmDet.score_threshold

Definition at line 8 of file mp_palmdet.py.

Referenced by mp_palmdet.MPPalmDet._postprocess().

◆ target_id

mp_palmdet.MPPalmDet.target_id

Definition at line 10 of file mp_palmdet.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: