Cyber Code: Python-dasar

bagaiamana cara mengakses video wabcam dengan python ? 
 
berikut adalah video tutorialnya ,...mangga ditonton wae.... 
 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/V9bIuaVQBoI/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/V9bIuaVQBoI?feature=player_embedded" width="320"></iframe></div>
 
 
source code : 
 
import cv2.cv as cv 
import time 
cv.NamedWindow("camera", 1) 
capture = cv.CaptureFromCAM(0) 
while True: 
    img = cv.QueryFrame(capture) 
    cv.ShowImage("camera", img) 
    if cv.WaitKey(10) == 27: 
        break 
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source code lengkap download di sini 
<button onclick="window.location='https://github.com/daniahmad92/python-akses-kamera'">Download</button>

Akses video dengan python

bagaiamana cara mengakses video wabcam dengan python ? berikut adalah video tutorialnya ,...mangga ditonton wae.... source code : ...

ingin membuat sistem pengenalan wajah dengan menggunakn python ? 
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berikut adalah source code chamsift yang ditulis dengan menggunakan bahasa python 
perlu diperhatikan kalau kode ini menggunakan library opencv dan numpy,  
 
#!C:\Python27\python 
 
import cv2.cv as cv 
import numpy 
 
def is_rect_nonzero(r): 
    (_,_,w,h) = r 
    return (w > 0) and (h > 0) 
 
class CamShiftDemo: 
 
    def __init__(self): 
        self.capture = cv.CaptureFromCAM(0) 
        cv.NamedWindow( "CamShiftDemo", 1 ) 
        cv.NamedWindow( "Histogram", 1 ) 
        cv.SetMouseCallback( "CamShiftDemo", self.on_mouse) 
 
        self.drag_start = None      # Set to (x,y) when mouse starts drag 
        self.track_window = None    # Set to rect when the mouse drag finishes 
 
        print( "Keys:\n" 
            "    ESC - quit the program\n" 
            "    b - switch to/from backprojection view\n" 
            "To initialize tracking, drag across the object with the mouse\n" ) 
 
    def hue_histogram_as_image(self, hist): 
        """ Returns a nice representation of a hue histogram """ 
 
        histimg_hsv = cv.CreateImage( (320,200), 8, 3) 
 
        mybins = cv.CloneMatND(hist.bins) 
        cv.Log(mybins, mybins) 
        (_, hi, _, _) = cv.MinMaxLoc(mybins) 
        cv.ConvertScale(mybins, mybins, 255. / hi) 
 
        w,h = cv.GetSize(histimg_hsv) 
        hdims = cv.GetDims(mybins)[0] 
        for x in range(w): 
            xh = (180 * x) / (w - 1)  # hue sweeps from 0-180 across the image 
            val = int(mybins[int(hdims * x / w)] * h / 255) 
            cv.Rectangle( histimg_hsv, (x, 0), (x, h-val), (xh,255,64), -1) 
            cv.Rectangle( histimg_hsv, (x, h-val), (x, h), (xh,255,255), -1) 
 
        histimg = cv.CreateImage( (320,200), 8, 3) 
        cv.CvtColor(histimg_hsv, histimg, cv.CV_HSV2BGR) 
        return histimg 
 
    def on_mouse(self, event, x, y, flags, param): 
        if event == cv.CV_EVENT_LBUTTONDOWN: 
            self.drag_start = (x, y) 
        if event == cv.CV_EVENT_LBUTTONUP: 
            self.drag_start = None 
            self.track_window = self.selection 
        if self.drag_start: 
            xmin = min(x, self.drag_start[0]) 
            ymin = min(y, self.drag_start[1]) 
            xmax = max(x, self.drag_start[0]) 
            ymax = max(y, self.drag_start[1]) 
            self.selection = (xmin, ymin, xmax - xmin, ymax - ymin) 
 
    def run(self): 
        hist = cv.CreateHist([180], cv.CV_HIST_ARRAY, [(0,180)], 1 ) 
        backproject_mode = False 
        while True: 
            frame = cv.QueryFrame( self.capture ) 
 
            # Convert to HSV and keep the hue 
            hsv = cv.CreateImage(cv.GetSize(frame), 8, 3) 
            cv.CvtColor(frame, hsv, cv.CV_BGR2HSV) 
            self.hue = cv.CreateImage(cv.GetSize(frame), 8, 1) 
            cv.Split(hsv, self.hue, None, None, None) 
 
            # Compute back projection 
            backproject = cv.CreateImage(cv.GetSize(frame), 8, 1) 
 
            # Run the cam-shift 
            cv.CalcArrBackProject( [self.hue], backproject, hist ) 
            if self.track_window and is_rect_nonzero(self.track_window): 
                crit = ( cv.CV_TERMCRIT_EPS | cv.CV_TERMCRIT_ITER, 10, 1) 
                (iters, (area, value, rect), track_box) = cv.CamShift(backproject, self.track_window, crit) 
                self.track_window = rect 
 
            # If mouse is pressed, highlight the current selected rectangle 
            # and recompute the histogram 
 
            if self.drag_start and is_rect_nonzero(self.selection): 
                sub = cv.GetSubRect(frame, self.selection) 
                save = cv.CloneMat(sub) 
                cv.ConvertScale(frame, frame, 0.5) 
                cv.Copy(save, sub) 
                x,y,w,h = self.selection 
                cv.Rectangle(frame, (x,y), (x+w,y+h), (255,255,255)) 
 
                sel = cv.GetSubRect(self.hue, self.selection ) 
                cv.CalcArrHist( [sel], hist, 0) 
                (_, max_val, _, _) = cv.GetMinMaxHistValue( hist) 
                if max_val != 0: 
                    cv.ConvertScale(hist.bins, hist.bins, 255. / max_val) 
            elif self.track_window and is_rect_nonzero(self.track_window): 
                cv.EllipseBox( frame, track_box, cv.CV_RGB(255,0,0), 3, cv.CV_AA, 0 ) 
 
            if not backproject_mode: 
                cv.ShowImage( "CamShiftDemo", frame ) 
            else: 
                cv.ShowImage( "CamShiftDemo", backproject) 
            cv.ShowImage( "Histogram", self.hue_histogram_as_image(hist)) 
 
            c = cv.WaitKey(7) % 0x100 
            if c == 27: 
                break 
            elif c == ord("b"): 
                backproject_mode = not backproject_mode 
 
if __name__=="__main__": 
    demo = CamShiftDemo() 
    demo.run() 
    cv.DestroyAllWindows() 
<div>
 </div>
source code lengkap download di sini 
<button onclick="window.location='https://github.com/daniahmad92/python'">Download</button> 
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ingin membuat sistem pengenalan wajah dengan menggunakn python ? berikut adalah source code chamsift yang ditulis dengan menggunakan bah...

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