Thesis Research
Once your training is done there will be a number of directories created in your haarcascade location you specified when your training first began. The directories will be labelled from 0…N where N is the total number of stages the trainer completed. In each directory there will be one AdaBoostCARTHaarClassisifer.txt file and each of the […]
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Once you have a *.vec file that you created from your positive images you are ready to train your classifier. OpenCV comes with a built in training utility opencv_haartraining.exe -data “C:\My Documents\HaarClassifier\haarcascade” -vec “C:\My Documents\Positive Test Set\positives.vec” -bg “C:\My Documents\Negative Test Set\negatives.txt” -npos 1134 -nneg 625 -nstages 20 Explanation of the code above: opencv_haartraining.exe is […]
Once you have a file that lists your positive images with the corresponding positive locations within each image you can then create a training sample based off of this file that will then create a vector of samples and translations to be used to train your classifier. opencv_createsamples.exe -info “C:\My Documents\Positive Test Set\positives.txt” -vec “C:\My […]
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How do we tell our program what we want to look for? I created a directory full of positive images (images that contain the object(s) that I want to identify) and I created a directory full of images that I know do not contain any of the objects that I want to identify. My positive […]
Machine Learning is a rapidly growing Haar Classifier is a supervised classifier, it has mainly been used for facial detection but it can also be trained to detect other objects. Computer vision is such a growing field that there are so many resources available for your own personal use. OpenCV provides a lot of functionality […]
OpenCV is an image processing library that I use in conjunction with C++ in Visual Studio. This library has proven to be very useful so far. I have experienced a number of crashes, as well as using some of their supplied binaries. Some of these I was able to get around by actually loading the […]
Solar Cavities are said (in theory) to be precursors to CMEs (Coronal Mass Ejections). These prominences are therefor clues to the state of the corona prior to emitting a CME, which in turn could be the signature of stored magnetic energy that is then capable of creating and driving the CME.
Spreadsheet of the literature review for numerous papers covering Automated Detection Techniques for detecting and tracking Coronal Mass Ejections (CMEs). This just provides a brief summary of the papers as well as what I found interesting and what my opinion was on the techniques that were presented in the papers. Download “PDF” Literature Review Presentation […]
Spreadsheet of the literature review for numerous papers covering image processing and feature extraction techniques, which also includes various machine learning algorithms. This just provides a brief summary of the papers as well as what I found interesting and what my opinion was on the techniques that were presented in the papers. Download “PDF” Literature […]