JeVoisBase  1.18
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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lpd_yunet.LPD_YuNet Class Reference

Public Member Functions

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

Detailed Description

Definition at line 6 of file lpd_yunet.py.

Constructor & Destructor Documentation

◆ __init__() [1/2]

def 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.

Referenced by lpd_yunet.LPD_YuNet.__init__().

◆ __init__() [2/2]

Member Function Documentation

◆ infer() [1/2]

◆ infer() [2/2]

◆ name() [1/2]

def lpd_yunet.LPD_YuNet.name (   self)

Definition at line 28 of file lpd_yunet.py.

Referenced by lpd_yunet.LPD_YuNet.name().

◆ name() [2/2]

def lpd_yunet.LPD_YuNet.name (   self)

Definition at line 28 of file lpd_yunet.py.

References lpd_yunet.LPD_YuNet.name().

◆ setBackend() [1/2]

◆ setBackend() [2/2]

◆ setInputSize() [1/2]

def lpd_yunet.LPD_YuNet.setInputSize (   self,
  inputSize 
)

◆ setInputSize() [2/2]

def lpd_yunet.LPD_YuNet.setInputSize (   self,
  inputSize 
)

◆ setTarget() [1/2]

◆ setTarget() [2/2]

Member Data Documentation

◆ backend_id

lpd_yunet.LPD_YuNet.backend_id

◆ 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.infer().

◆ input_size

◆ 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.infer().

◆ 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.infer().

◆ model

◆ model_path

lpd_yunet.LPD_YuNet.model_path

◆ nms_threshold

lpd_yunet.LPD_YuNet.nms_threshold

◆ output_names

lpd_yunet.LPD_YuNet.output_names

Definition at line 17 of file lpd_yunet.py.

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

◆ 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.infer().

◆ target_id

lpd_yunet.LPD_YuNet.target_id

◆ 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.infer().

◆ 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.infer().


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