Update README.md

Author: Tony Emelyanov

README.md

@@ -1,15 +1,12 @@
 # CarEye
 The simplest ADAS that detects and classifies road signs from the camera's video stream in real-time.
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 #### Description:
 Cascade classifiers (two classifiers: for circular and for triangular and rectangular traffic signs) trained on LBP-features is used to detect road signs. The detected road signs are then filtered by the linear binary SVM-classifier (also two classifiers: for circular and for triangular and rectangular traffic signs) trained on HOG-features. Finally, the common multiclass SVM-classifier (one-vs-all scheme, with RBF kernel) learned on HOG-features predict classes of detected traffic signs.
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 #### Params of traffic sign detector:
 Input image: size=1024x768<br>
 Pyramid of images: scaleFactor=1.2<br>
 NMS: minNeighbors=5<br>
 Sliding window: minSize=24x24, maxSize=144x144
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 #### Test of traffic sign detector:
 Cascade classifier for circular traffic signs:<br>
 recall=76.8%, precision=78.5%, f1-score=77.6%<br>
@@ -19,7 +16,10 @@ SVM-classifier for circular traffic signs:<br>
 precision=98.6%<br>
 SVM-classifier for triangular and rectangular traffic signs:<br>
 precision=97.46%
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 #### Test of traffic sign classifier:
 SVM-classifier:<br>
 accuracy=96.5%
+#### Perfomance test:
+CPU: Intel Core i5-4570
+RAM: 8Gb
+Inference: 9-11 FPS (single thread)