detection

What do each for the following losses mean? (in the TensorFlow Object detection API, while training FasterRCNN based models) Loss/BoxClassifierLoss/classification_loss/mul_1 Loss/BoxClassifierLoss/localization_loss/mul_1 Loss/RPNLoss/localization_loss/mul_1 Loss/RPNLoss/objectness_loss/mul_1 clone_loss_1 The losses for the Region Proposal Network: Loss/RPNLoss/localization_loss/mul_1 : Localization Loss or the Loss of the Bounding Box regressor for the RPN Loss/RPNLoss/objectness_loss/mul_1 : Loss of the Classifier that classifies if a bounding box is an object of interest or background The

I have a problem detecting speed traffic signs with opencv 2.4 for Android. I do the following: "capture frame -> convert it to HSV -> extract red areas -> detect signs with ellipse detection" So far ellipse detection works perfect as long as picture is good quality. But as you see in pictures bellow, that red extraction does not work OK, because of poor quality of picture frames, by my opinion. Converting original image to HSV: Imgproc.cvtColor(this.source, this.source, Imgproc.COLOR_RGB2HSV, 3); Extracting red colors: Core.inRange(this.source, new Scalar(this.h,this.s,this.v), new Scalar(230

http://oi60.tinypic.com/51lkp.jpg Hi.. I have problem with rectangle detection which has irregular side (not straight) like figure above. actually with method houghline can detect lines on the rectangle with some parameter configuration. After compute intersect and get 4 corner, I can rotate it to normal position. But if I change the image with another rectangle (different size and still has irregular side), I need to reconfigure the parameters again. This is because the line is not detected on four sides, beside that the line can be more than 4. is there any other method beside houghline

I want to detect not the pitch, but the pitch class of a sung note. So, whether it is C4 or C5 is not important: they must both be detected as C. Imagine the 12 semitones arranged on a clock face, with the needle pointing to the pitch class. That's what I'm after! ideally I would like to be able to tell whether the sung note is spot-on or slightly off. This is not a duplicate of previously asked questions, as it introduces the constraints that: the sound source is a single human voice , hopefully with negligible background interference (although I may need to deal with this) the octave is not

How can I detect the top 2 colors of an Image in PHP? for example I have this image: This function/process will return: 0000FF or blue and FFFF00 or YELLOW Thanks Here's a script that will give you the list: function detectColors($image, $num, $level = 5) { $level = (int)$level; $palette = array(); $size = getimagesize($image); if(!$size) { return FALSE; } switch($size['mime']) { case 'image/jpeg': $img = imagecreatefromjpeg($image); break; case 'image/png': $img = imagecreatefrompng($image); break; case 'image/gif': $img = imagecreatefromgif($image); break; default: return FALSE; } if(!$img)