need code which created 'stopSigns.mat'
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shreedhar bc
le 13 Mai 2013
Commenté : Datti Nagadhara Harini
le 2 Avr 2014
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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Anand
le 14 Mai 2013
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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Anand
le 15 Jan 2014
Like mustafa suggested, you can use this file exchange submission to help with that:
You'll need to individually draw bounding boxes for each of the training images.
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Esam
le 8 Mar 2014
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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Datti Nagadhara Harini
le 2 Avr 2014
how do u get those values to prepare a boundary box around the object
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