Refactor for 23a Python Importer demo

Author: yanndebray

HumanDetection.slx

@@ -0,0 +1,33 @@
+{
+ "SimulinkCodeImporterVersion": 1,
+ "LibraryFileName": "HumanDetection",
+ "CustomCode": {
+ "SourceFiles": ".\\detectHuman.py",
+ "GlobalVariableInterface": false
+ },
+ "FunctionsToImport": "detectHuman.detectHumanFromFrame",
+ "FunctionSettings": {
+ "Name": "detectHuman.detectHumanFromFrame",
+ "PortSpecArray": [
+ {
+ "ArgName": "image",
+ "PortName": "image",
+ "Scope": "Output",
+ "Index": "1",
+ "Type": "uint8",
+ "Size": "[300 400 3]",
+ "IsGlobal": false
+ },
+ {
+ "ArgName": "image",
+ "PortName": "image",
+ "Scope": "Input",
+ "Index": "1",
+ "Type": "uint8",
+ "Size": "[480 640 3]",
+ "IsGlobal": false
+ }
+ ],
+ "IsDeterministic": false
+ }
+}

HumanDetection_import.json

@@ -29,7 +29,7 @@ This example shows users how to integrate Python Human detection code into Simul
 To use this example, 
 1. open and run the runme.m first in MATLAB; 
 2. Then start the base_python_example_21a.slx 
-3. Run simulaiton. 
+3. Run simulation. 
 
 
 ## Product dependencies

README.MD

@@ -2,19 +2,12 @@
 # import imutils
 import numpy as np
 import cv2
+import hogClass
 
+def detectHumanFromFrame(image):
 
-class hogObject:
- detector = cv2.HOGDescriptor()
- def __init__(self):
- self.detector.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
-
-
-def getHogObject():
- return hogObject()
-
-
-def detectHumanFromFrame(image, hog):
+ hog = hogClass.hogObject()
+ 
  image = np.asarray(image)
  # image = imutils.resize(image, width=min(400, image.shape[1]))
  ratio = image.shape[0] / image.shape[1]
@@ -33,8 +26,6 @@ def detectHumanFromFrame(image, hog):
 
 
 if __name__ == "__main__":
-
- hog = hogObject()
 
  cap = cv2.VideoCapture('livedata.mp4')
  ret, image = cap.read()

README.mlx

@@ -0,0 +1,33 @@
+classdef detectHuman_detectHumanFromFrame < matlab.System
+% Python def detectHumanFromFrame imported from python module detectHuman.py
+methods(Access = protected)
+function validateInputsImpl(obj, varargin)
+if ~isempty(varargin{1})
+ validateattributes(varargin{1}, {'uint8'}, {'size',[480 640 3]});
+end
+end
+function setupImpl(obj)
+ py.importlib.import_module('detectHuman');
+end
+function [image] = stepImpl(obj,image)
+ image = uint8(py.detectHuman.detectHumanFromFrame(image));
+end
+function varargout = getOutputDataTypeImpl(obj)
+ varargout{1} = 'uint8';
+end
+function varargout = getOutputSizeImpl(obj)
+ varargout{1} = [300 400 3];
+end
+function varargout = isOutputComplexImpl(obj)
+ varargout{1} = false;
+end
+function varargout = isOutputFixedSizeImpl(obj)
+ varargout{1} = true;
+end
+end
+methods(Static, Access = protected)
+function simMode = getSimulateUsingImpl
+ simMode = 'Interpreted execution';
+end
+end
+end

base_python_example_23a.slx

@@ -0,0 +1,10 @@
+import cv2
+
+class hogObject:
+ detector = cv2.HOGDescriptor()
+ def __init__(self):
+ self.detector.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
+
+
+def getHogObject():
+ return hogObject()