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rec.py

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+from SimpleCV import *
+import time
+
+# This file shows you how to train Fisher Face Recognition
+# Enter the names of the faces and the output file.
+cam = Camera(0) # camera
+names = ['Alice','Bob'] # names of people to recognize
+outfile = "test.csv" #output file
+waitTime = 10 # how long to wait between each training session
+
+def getFaceSet(cam,myStr=""):
+    # Grab a series of faces and return them.
+    # quit when we press escape.
+    iset = ImageSet()
+    count = 0
+    disp = Display((640,480))
+    while disp.isNotDone():
+        img = cam.getImage()
+        fs = img.findHaarFeatures('face')
+        if( fs is not None ):
+            fs = fs.sortArea()
+            face = fs[-1].crop().resize(100,100)
+            fs[-1].draw()
+            iset.append(face)
+            count = count + 1
+        img.drawText(myStr,20,20,color=Color.RED,fontsize=32)
+        img.save(disp)
+    disp.quit()
+    return iset
+
+# First make sure our camera is all set up.
+#getFaceSet(cam,"Get Camera Ready! - ESC to Exit")
+#time.sleep(5)
+labels = []
+imgs = []
+# for each person grab a training set of images
+# and generate a list of labels.
+for name in names:
+    myStr = "Training for : " + name
+    iset = getFaceSet(cam,myStr)
+    imgs += iset
+    labels += [name for i in range(0,len(iset))]
+    time.sleep(waitTime)
+
+# Create, train, and save the recognizer.
+f =  FaceRecognizer()
+print f.train(imgs, labels)
+f.save(outfile)
+# Now show us the results
+disp = Display((640,480))
+while disp.isNotDone():
+    img = cam.getImage()
+    fs = img.findHaarFeatures('face')
+    if( fs is not None ):
+        fs = fs.sortArea()
+        face = fs[-1].crop().resize(100,100)
+        fs[-1].draw()
+        name, confidence = f.predict(face)
+        img.drawText(name,30,30,fontsize=64)
+    img.save(disp)