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GUI2.py
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GUI2.py
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'''How to integrate openCV and wxpython.
This program loads an image file using openCV, converts it to a format
which wxpython can handle and displays the resulting image in a
wx.Frame.'''
import wx
import cv2.cv as cv
import cv2
import win32api
import win32con
import processor
import numpy as np
#The panel containing the webcam video
class CvDisplayPanel(wx.Panel):
def ImagePro(self,capture,orig,processed,storage,grid):
orig = cv.QueryFrame(capture)
#cv.Normalize(orig)
# filter for all yellow and blue - everything else is black
processed = processor.colorFilterCombine(orig, "yellow", "blue" ,s)
# Some processing and smoothing for easier circle detection
cv.Canny(processed, processed, 5, 70, 3)
cv.Smooth(processed, processed, cv.CV_GAUSSIAN, 7, 7)
#cv.ShowImage('processed2', processed)
# Find&Draw circles
processor.find_circles(processed, storage, 100)
#if it is in the range of 1 to 9, we can try and recalibrate our filter
#if 1 <= storage.rows < 10:
# s = autocalibrate(orig, storage)
processor.draw_circles(storage, orig)
#warp = processor.update_grid(storage, orig, grid)
# Delete and recreate the storage so it has the correct width
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
#cv.ShowImage('output', orig)
#return processed
#cv.ShowImage('grid', warp)
#warp = perspective_transform(orig)
#cv.ShowImage('warped', warp)
mask = cv.CreateImage((640,480), cv.IPL_DEPTH_8U, 3)
cv.Resize(orig,mask)
return mask
TIMER_PLAY_ID = 101
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#magic to stop the flickering
def SetCompositeMode(self, on=True):
exstyle = win32api.GetWindowLong(self.GetHandle(), win32con.GWL_EXSTYLE)
if on:
exstyle |= win32con.WS_EX_COMPOSITED
else:
exstyle &= ~win32con.WS_EX_COMPOSITED
win32api.SetWindowLong(self.GetHandle(), win32con.GWL_EXSTYLE, exstyle)
SetCompositeMode(self, True)
#self.capture = cv.CaptureFromCAM(0) # turn on the webcam
#img = ImagePro # Convert the raw image data to something wxpython can handle.
#cv.CvtColor(img, img, cv.CV_BGR2RGB) # fix color distortions
storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
self.ImagePro(capture,orig,processed,storage,grid)
cv.CvtColor(orig, orig, cv.CV_BGR2RGB)
self.bmp = wx.BitmapFromBuffer(640, 300, orig.tostring())
sbmp = wx.StaticBitmap(self, -1, bitmap=self.bmp) # Display the resulting image
self.playTimer = wx.Timer(self, self.TIMER_PLAY_ID)
wx.EVT_TIMER(self, self.TIMER_PLAY_ID, self.onNextFrame)
fps = cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FPS)
if fps!=0: self.playTimer.Start(1000/fps) # every X ms
else: self.playTimer.Start(1000/15) # assuming 15 fps
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
def onNextFrame(self, evt):
storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
self.ImagePro(capture,orig,processed,storage,grid)
#img = processed
if orig:
cv.CvtColor(orig, orig, cv.CV_BGR2RGB)
self.bmp.CopyFromBuffer(orig.tostring()) # update the bitmap to the current frame
self.Refresh()
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
evt.Skip()
class CvDisplayPanel2(wx.Panel):
def ImagePro(self,capture,orig,processed,storage,grid):
orig = cv.QueryFrame(capture)
#cv.Normalize(orig)
# filter for all yellow and blue - everything else is black
processed = processor.colorFilterCombine(orig, "yellow", "blue" ,s)
# Some processing and smoothing for easier circle detection
cv.Canny(processed, processed, 5, 70, 3)
cv.Smooth(processed, processed, cv.CV_GAUSSIAN, 7, 7)
#cv.ShowImage('processed2', processed)
# Find&Draw circles
processor.find_circles(processed, storage, 100)
#if it is in the range of 1 to 9, we can try and recalibrate our filter
#if 1 <= storage.rows < 10:
# s = autocalibrate(orig, storage)
processor.draw_circles(storage, orig)
#warp = processor.update_grid(storage, orig, grid)
# Delete and recreate the storage so it has the correct width
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
#cv.ShowImage('output', orig)
#return processed
#cv.ShowImage('grid', warp)
#warp = perspective_transform(orig)
#cv.ShowImage('warped', warp)
mask = cv.CreateImage((640,480), cv.IPL_DEPTH_8U, 3)
cv.Resize(orig,mask)
return mask
TIMER_PLAY_ID = 101
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#magic to stop the flickering
def SetCompositeMode(self, on=True):
exstyle = win32api.GetWindowLong(self.GetHandle(), win32con.GWL_EXSTYLE)
if on:
exstyle |= win32con.WS_EX_COMPOSITED
else:
exstyle &= ~win32con.WS_EX_COMPOSITED
win32api.SetWindowLong(self.GetHandle(), win32con.GWL_EXSTYLE, exstyle)
SetCompositeMode(self, True)
#self.capture = cv.CaptureFromCAM(0) # turn on the webcam
#img = ImagePro # Convert the raw image data to something wxpython can handle.
#cv.CvtColor(img, img, cv.CV_BGR2RGB) # fix color distortions
storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
self.ImagePro(capture2,orig2,processed2,storage,grid)
cv.CvtColor(orig, orig, cv.CV_BGR2RGB)
self.bmp = wx.BitmapFromBuffer(640, 300, orig.tostring())
sbmp = wx.StaticBitmap(self, -1, bitmap=self.bmp) # Display the resulting image
self.playTimer = wx.Timer(self, self.TIMER_PLAY_ID)
wx.EVT_TIMER(self, self.TIMER_PLAY_ID, self.onNextFrame)
fps = cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FPS)
if fps!=0: self.playTimer.Start(1000/fps) # every X ms
else: self.playTimer.Start(1000/15) # assuming 15 fps
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
def onNextFrame(self, evt):
storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
self.ImagePro(capture2,orig2,processed2,storage,grid)
#img = processed
if orig2:
cv.CvtColor(orig2, orig2, cv.CV_BGR2RGB)
self.bmp.CopyFromBuffer(orig2.tostring()) # update the bitmap to the current frame
self.Refresh()
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
evt.Skip()
class CvDisplayPanel3(wx.Panel):
def merge(self,orig,orig2,storage,grid,warp):
#orig = cv.QueryFrame(capture)
#cv.Normalze(orig)
# filter for all yellow and blue - everything else is black
#processed = processor.colorFilterCombine(orig, "yellow", "blue" ,s)
# Some processing and smoothing for easier circle detection
#cv.Canny(processed, processed, 5, 70, 3)
#cv.Smooth(processed, processed, cv.CV_GAUSSIAN, 7, 7)
#cv.ShowImage('processed2', processed)
# Find&Draw circles
#processor.find_circles(processed, storage, 100)
#if it is in the range of 1 to 9, we can try and recalibrate our filter
#if 1 <= storage.rows < 10:
# s = autocalibrate(orig, storage)
combined = cv.CreateImage((orig.width,orig.height*2), cv.IPL_DEPTH_8U, 3)
processor.draw_grid(orig)
processor.draw_grid(orig2)
orig_np = np.asarray(orig[:,:])
orig2_np = np.asarray(orig2[:,:])
combined_np = np.asarray(combined[:,:])
combined_np = np.concatenate((orig_np, orig2_np),axis=0)
#combined = processor.draw_grid(orig)
combined = cv.fromarray(combined_np)
#print orig_np
#print orig2_np
#print combined.height
#print combined.width
#print combined_np
"""
cv.SetImageROI(orig,(100,100,orig2.width,orig2.height))
cv.Add(combined,orig,combined)
#cv.Add(combined,orig,combined)
cv.ResetImageROI(orig)
"""
return combined
#self.grid = processor.draw_grid(orig)
#processor.draw_circles(storage, orig)
#grid = processor.update_grid(storage, orig, grid)
# Delete and recreate the storage so it has the correct width
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
#cv.ShowImage('output', orig)
#return processed
#cv.ShowImage('grid', warp)
#warp = processor.perspective_transform(orig)
#cv.ShowImage('warped', warp)
TIMER_PLAY_ID = 101
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#magic to stop the flickering
def SetCompositeMode(self, on=True):
exstyle = win32api.GetWindowLong(self.GetHandle(), win32con.GWL_EXSTYLE)
if on:
exstyle |= win32con.WS_EX_COMPOSITED
else:
exstyle &= ~win32con.WS_EX_COMPOSITED
win32api.SetWindowLong(self.GetHandle(), win32con.GWL_EXSTYLE, exstyle)
SetCompositeMode(self, True)
#self.capture = cv.CaptureFromCAM(0) # turn on the webcam
#img = ImagePro # Convert the raw image data to something wxpython can handle.
#cv.CvtColor(img, img, cv.CV_BGR2RGB) # fix color distortions
storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
combined = self.merge(orig,orig2,storage,grid,warp)
#cv.CvtColor(grid, grid, cv.CV_BGR2RGB)
self.bmp = wx.BitmapFromBuffer(combined.width, combined.height, combined.tostring())
sbmp = wx.StaticBitmap(self, -1, bitmap=self.bmp) # Display the resulting image
self.playTimer = wx.Timer(self, self.TIMER_PLAY_ID)
wx.EVT_TIMER(self, self.TIMER_PLAY_ID, self.onNextFrame)
fps = cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FPS)
if fps!=0: self.playTimer.Start(1000/fps) # every X ms
else: self.playTimer.Start(1000/15) # assuming 15 fps
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
def onNextFrame(self, evt):
storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
combined = self.merge(orig,orig2,storage,grid,warp)
#img = processed
if combined:
#cv.CvtColor(combined, combined, cv.CV_BGR2RGB)
self.bmp.CopyFromBuffer(combined.tostring()) # update the bitmap to the current frame
self.Refresh()
#del(storage)
#storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
evt.Skip()
class Cameras(wx.Frame):
""" We simply derive a new class of Frame. """
def __init__(self, parent, title):
wx.Frame.__init__(self, parent, title=title, size=(1280,700))
#self.displayPanel = CvDisplayPanel(self) # display panel for video
#displayPanel2 = CvDisplayPanel2(self)
#displayPanel3 = CvDisplayPanel3(self)
right = wx.BoxSizer(wx.VERTICAL)
right.Add(CvDisplayPanel(self), 1, wx.ALL , 0)
right.Add(CvDisplayPanel2(self), 1, wx.ALL , 0)
#right.Add(CvDisplayPanel3(self), 1, wx.EXPAND | wx.ALL, 0)
# self.SetSizer(right)
#self.SetSizer(right)
#self.SetSizer(right)
left = wx.BoxSizer(wx.HORIZONTAL)
left.Add(CvDisplayPanel3(self), 1, wx.ALL, 0)
#left = wx.BoxSizer(wx.HORIZONTAL)
#left.Add(CvDisplayPanel3(self), 1, wx.EXPAND | wx.ALL, 0)
left.Add(right, 1, wx.ALL, 0)
self.SetSizer(left)
self.Centre()
self.CreateStatusBar() # A Statusbar in the bottom of the window
filemenu= wx.Menu() # Setting up the menu.
# wx.ID_EXIT is a standard ID provided by wxWidgets.
filemenu.AppendSeparator()
menuExit=filemenu.Append(wx.ID_EXIT,"E&xit"," Terminate the program")
# events for the menu bar
self.Bind(wx.EVT_MENU, self.OnExit, menuExit)
menuBar = wx.MenuBar() # Creating the menubar.
menuBar.Append(filemenu,"&File") # Adding the "filemenu" to the MenuBar
self.SetMenuBar(menuBar) # Adding the MenuBar to the Frame content.
def OnExit(self,evt):
self.Close(True) # Close the frame.
class Control(wx.Frame):
def __init__(self, parent, title):
wx.Frame.__init__(self, parent, title=title, size=(200,300))
display = wx.TextCtrl(self, -1, '', style=wx.TE_RIGHT)
box = wx.BoxSizer(wx.VERTICAL)
buttons = wx.GridSizer(2, 3, 1, 1)
buttons.AddMany([(wx.Button(self, 1, 'Stop') , 0, wx.EXPAND),
(wx.Button(self, 2, 'Up') , 0, wx.EXPAND),
(wx.Button(self, 3, 'Start') , 0, wx.EXPAND),
(wx.Button(self, 4, 'Left') , 0, wx.EXPAND),
(wx.Button(self, 5, 'Down') , 0, wx.EXPAND),
(wx.Button(self, 6, 'Right') , 0, wx.EXPAND)])
box.Add(display, 1, wx.EXPAND)
box.Add(buttons, 1, wx.EXPAND)
self.SetSizer(box)
self.Centre()
#ImageInit(0)
capture = cv.CaptureFromCAM(0)
capture2 = cv.CaptureFromCAM(1)
orig = cv.QueryFrame(capture)
orig2 = cv.QueryFrame(capture2)
processed = cv.CreateImage((orig.width,orig.height), cv.IPL_DEPTH_8U, 1)
processed2 = cv.CreateImage((orig2.width,orig2.height), cv.IPL_DEPTH_8U, 1)
grid = cv.CreateImage((orig.width*2,orig.height), cv.IPL_DEPTH_8U, 3)
warp = cv.CreateImage((orig.width*2,orig.height), cv.IPL_DEPTH_8U, 3)
storage = cv.CreateMat(orig.width, 1, cv.CV_32FC3)
s = []
#processor.draw_grid(grid)
app = wx.App(False) # Create a new app, don't redirect stdout/stderr to a window.
frame = Cameras(None, "Cameras") # A Frame is a top-level window.
frame.Show(True) # Show the frame.
frame2 = Control(None, "Control") # A Frame is a top-level window.
frame2.Show(True)
app.MainLoop()