need code which created 'stopSigns.mat'

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shreedhar bc
shreedhar bc 2013-5-13
评论： Datti Nagadhara Harini 2014-4-2
Using Computer Vision system toolbox i'm trying to detect bottles in an image. For that I want to train Computer Vision System toolbox with "trainCascadeObjectDetector" function. I also analysed the example program "Train a Stop Sign Detector"
But the problem is i'am stuck at one point, that is, for my application how to create and load positive samples data from "bottles.mat" file, which is same as "stopSigns.mat"
Can any-one crack the issue, or is there any alternate way to train Computer Vision System Toolbox without using .mat file for positive samples data input.
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mustafa
mustafa 2014-1-15
编辑：mustafa 2014-1-15
You can create a GUI for bounding boxes via 'imrect' or use @Brett Shoelson's great GUI on this link to create .mat file for object recognition.

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采纳的回答

Anand
Anand 2013-5-14
You don't really need a mat file. You need ground truth data for training. So, you need a set of images with bottles in them and bounding boxes for the bottles in the images.
The mat file just contains an array of structs specifying the name of the image file and the bounding box of the bottle in that image.
Read this: http://www.mathworks.com/help/vision/ref/traincascadeobjectdetector.html#inputarg_positiveinstances
The mat file is just used to pass the positive instances input argument to the trainCascadeObjectDetector function.
Hope that helps!
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shreedhar bc
shreedhar bc 2013-5-14
Sir I have 100 images in which I have bottles at different place. Each image contain one bottle. Now How to define bounding box for bottle at different place in all 100 different Images ?
Anand
Anand 2014-1-15
Like mustafa suggested, you can use this file exchange submission to help with that:
cascadeTrain GUI.
You'll need to individually draw bounding boxes for each of the training images.

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Esam
Esam 2014-3-8
Try this code to create ur .mat file as I did. u'll need to describe each positive sample :
data = [];
field1 ='imageFilename';
value1 = {'Car/T01.bmp','Car/T02.bmp','Car/T03.bmp','Car/T04.bmp','Car/T05.bmp'};
field2 ='objectBoundingBoxes';
value2 = {[21,25,100,150] ,[17,10,168,122] ,[20,13,150,182] ,[9,15,162,100] ,[17,3,130,107]};
data = struct(field1,value1,field2,value2);
save ('cars.mat','data');

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