JeVoisBase  1.22
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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Public Member Functions | Public Attributes | Protected Member Functions | List of all members
lpd_yunet.LPD_YuNet Class Reference

Public Member Functions

 __init__ (self, modelPath, inputSize=[320, 240], confThreshold=0.8, nmsThreshold=0.3, topK=5000, keepTopK=750, backendId=0, targetId=0)
 
 name (self)
 
 setBackend (self, backendId)
 
 setTarget (self, targetId)
 
 setInputSize (self, inputSize)
 
 infer (self, image)
 
 __init__ (self, modelPath, inputSize=[320, 240], confThreshold=0.8, nmsThreshold=0.3, topK=5000, keepTopK=750, backendId=0, targetId=0)
 
 name (self)
 
 setBackend (self, backendId)
 
 setTarget (self, targetId)
 
 setInputSize (self, inputSize)
 
 infer (self, image)
 

Public Attributes

 model_path
 
 input_size
 
 confidence_threshold
 
 nms_threshold
 
 top_k
 
 keep_top_k
 
 backend_id
 
 target_id
 
 output_names
 
 min_sizes
 
 steps
 
 variance
 
 model
 
 priors
 

Protected Member Functions

 _preprocess (self, image)
 
 _postprocess (self, blob)
 
 _priorGen (self)
 
 _decode (self, blob)
 
 _preprocess (self, image)
 
 _postprocess (self, blob)
 
 _priorGen (self)
 
 _decode (self, blob)
 

Detailed Description

Definition at line 6 of file lpd_yunet.py.

Constructor & Destructor Documentation

◆ __init__() [1/2]

lpd_yunet.LPD_YuNet.__init__ (   self,
  modelPath,
  inputSize = [320, 240],
  confThreshold = 0.8,
  nmsThreshold = 0.3,
  topK = 5000,
  keepTopK = 750,
  backendId = 0,
  targetId = 0 
)

Definition at line 7 of file lpd_yunet.py.

◆ __init__() [2/2]

lpd_yunet.LPD_YuNet.__init__ (   self,
  modelPath,
  inputSize = [320, 240],
  confThreshold = 0.8,
  nmsThreshold = 0.3,
  topK = 5000,
  keepTopK = 750,
  backendId = 0,
  targetId = 0 
)

Definition at line 7 of file lpd_yunet.py.

References lpd_yunet.LPD_YuNet._priorGen(), mobilenet_v1.MobileNetV1.backend_id, mobilenet_v2.MobileNetV2.backend_id, lpd_yunet.LPD_YuNet.backend_id, mp_palmdet.MPPalmDet.backend_id, lpd_yunet.LPD_YuNet.confidence_threshold, 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.keep_top_k, lpd_yunet.LPD_YuNet.min_sizes, TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.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, PyLicensePlate.PyLicensePlate.model, mobilenet_v1.MobileNetV1.model_path, mobilenet_v2.MobileNetV2.model_path, lpd_yunet.LPD_YuNet.model_path, mp_palmdet.MPPalmDet.model_path, quantize-inc.Quantize.model_path, quantize-ort.Quantize.model_path, lpd_yunet.LPD_YuNet.nms_threshold, mp_palmdet.MPPalmDet.nms_threshold, mobilenet_v1.MobileNetV1.output_names, mobilenet_v2.MobileNetV2.output_names, lpd_yunet.LPD_YuNet.output_names, jevois::DMPdata.steps, lpd_yunet.LPD_YuNet.steps, mobilenet_v1.MobileNetV1.target_id, mobilenet_v2.MobileNetV2.target_id, lpd_yunet.LPD_YuNet.target_id, mp_palmdet.MPPalmDet.target_id, lpd_yunet.LPD_YuNet.top_k, and lpd_yunet.LPD_YuNet.variance.

Member Function Documentation

◆ _decode() [1/2]

lpd_yunet.LPD_YuNet._decode (   self,
  blob 
)
protected

Definition at line 111 of file lpd_yunet.py.

References 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.priors, and lpd_yunet.LPD_YuNet.variance.

Referenced by lpd_yunet.LPD_YuNet._postprocess().

◆ _decode() [2/2]

lpd_yunet.LPD_YuNet._decode (   self,
  blob 
)
protected

Definition at line 111 of file lpd_yunet.py.

References 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.priors, and lpd_yunet.LPD_YuNet.variance.

Referenced by lpd_yunet.LPD_YuNet._postprocess().

◆ _postprocess() [1/2]

lpd_yunet.LPD_YuNet._postprocess (   self,
  blob 
)
protected

Definition at line 63 of file lpd_yunet.py.

References lpd_yunet.LPD_YuNet._decode(), lpd_yunet.LPD_YuNet.confidence_threshold, lpd_yunet.LPD_YuNet.keep_top_k, lpd_yunet.LPD_YuNet.nms_threshold, mp_palmdet.MPPalmDet.nms_threshold, and lpd_yunet.LPD_YuNet.top_k.

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().

◆ _postprocess() [2/2]

lpd_yunet.LPD_YuNet._postprocess (   self,
  blob 
)
protected

Definition at line 63 of file lpd_yunet.py.

References lpd_yunet.LPD_YuNet._decode(), lpd_yunet.LPD_YuNet.confidence_threshold, lpd_yunet.LPD_YuNet.keep_top_k, lpd_yunet.LPD_YuNet.nms_threshold, mp_palmdet.MPPalmDet.nms_threshold, and lpd_yunet.LPD_YuNet.top_k.

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() [1/2]

lpd_yunet.LPD_YuNet._preprocess (   self,
  image 
)
protected

Definition at line 44 of file lpd_yunet.py.

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().

◆ _preprocess() [2/2]

lpd_yunet.LPD_YuNet._preprocess (   self,
  image 
)
protected

Definition at line 44 of file lpd_yunet.py.

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().

◆ _priorGen() [1/2]

lpd_yunet.LPD_YuNet._priorGen (   self)
protected

Definition at line 81 of file lpd_yunet.py.

References 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.min_sizes, jevois::DMPdata.steps, and lpd_yunet.LPD_YuNet.steps.

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

◆ _priorGen() [2/2]

lpd_yunet.LPD_YuNet._priorGen (   self)
protected

Definition at line 81 of file lpd_yunet.py.

References 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.min_sizes, lpd_yunet.LPD_YuNet.priors, jevois::DMPdata.steps, and lpd_yunet.LPD_YuNet.steps.

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

◆ infer() [1/2]

lpd_yunet.LPD_YuNet.infer (   self,
  image 
)

Definition at line 47 of file lpd_yunet.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_size, mobilenet_v2.MobileNetV2.input_size, lpd_yunet.LPD_YuNet.input_size, mp_palmdet.MPPalmDet.input_size, TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.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, 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().

◆ infer() [2/2]

lpd_yunet.LPD_YuNet.infer (   self,
  image 
)

Definition at line 47 of file lpd_yunet.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_size, mobilenet_v2.MobileNetV2.input_size, lpd_yunet.LPD_YuNet.input_size, mp_palmdet.MPPalmDet.input_size, TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.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, 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() [1/2]

lpd_yunet.LPD_YuNet.name (   self)

Definition at line 28 of file lpd_yunet.py.

◆ name() [2/2]

lpd_yunet.LPD_YuNet.name (   self)

Definition at line 28 of file lpd_yunet.py.

◆ setBackend() [1/2]

lpd_yunet.LPD_YuNet.setBackend (   self,
  backendId 
)

Definition at line 31 of file lpd_yunet.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, 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.

◆ setBackend() [2/2]

lpd_yunet.LPD_YuNet.setBackend (   self,
  backendId 
)

Definition at line 31 of file lpd_yunet.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, 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.

◆ setInputSize() [1/2]

lpd_yunet.LPD_YuNet.setInputSize (   self,
  inputSize 
)

Definition at line 39 of file lpd_yunet.py.

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

◆ setInputSize() [2/2]

lpd_yunet.LPD_YuNet.setInputSize (   self,
  inputSize 
)

Definition at line 39 of file lpd_yunet.py.

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

◆ setTarget() [1/2]

lpd_yunet.LPD_YuNet.setTarget (   self,
  targetId 
)

Definition at line 35 of file lpd_yunet.py.

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

◆ setTarget() [2/2]

lpd_yunet.LPD_YuNet.setTarget (   self,
  targetId 
)

Definition at line 35 of file lpd_yunet.py.

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

lpd_yunet.LPD_YuNet.backend_id

Definition at line 14 of file lpd_yunet.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().

◆ confidence_threshold

lpd_yunet.LPD_YuNet.confidence_threshold

Definition at line 10 of file lpd_yunet.py.

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

◆ input_size

lpd_yunet.LPD_YuNet.input_size

Definition at line 9 of file lpd_yunet.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().

◆ keep_top_k

lpd_yunet.LPD_YuNet.keep_top_k

Definition at line 13 of file lpd_yunet.py.

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

◆ min_sizes

lpd_yunet.LPD_YuNet.min_sizes

Definition at line 18 of file lpd_yunet.py.

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

◆ model

lpd_yunet.LPD_YuNet.model

Definition at line 23 of file lpd_yunet.py.

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

◆ model_path

lpd_yunet.LPD_YuNet.model_path

Definition at line 8 of file lpd_yunet.py.

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

◆ nms_threshold

lpd_yunet.LPD_YuNet.nms_threshold

Definition at line 11 of file lpd_yunet.py.

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

◆ output_names

lpd_yunet.LPD_YuNet.output_names

Definition at line 17 of file lpd_yunet.py.

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

◆ priors

lpd_yunet.LPD_YuNet.priors

Definition at line 109 of file lpd_yunet.py.

Referenced by lpd_yunet.LPD_YuNet._decode(), and lpd_yunet.LPD_YuNet._priorGen().

◆ steps

lpd_yunet.LPD_YuNet.steps

Definition at line 19 of file lpd_yunet.py.

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

◆ target_id

lpd_yunet.LPD_YuNet.target_id

Definition at line 15 of file lpd_yunet.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().

◆ top_k

lpd_yunet.LPD_YuNet.top_k

Definition at line 12 of file lpd_yunet.py.

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

◆ variance

lpd_yunet.LPD_YuNet.variance

Definition at line 20 of file lpd_yunet.py.

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

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