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Month: August 2018

Fix: The file size exceeded the maximum size permitted by your PHP configuration

Fix: The file size exceeded the maximum size permitted by your PHP configuration

You might have encountered this error while uploading database using phpmyadmin dashboard. The default size is 2MB in php.ini for “upload_max_filesize“. Change the value of upload max filesize to your desired size say 20MB. And also need to change post_max_sizeif you have changed upload_max_filesize greater or equal to upload max filesize.  post_max_size must be greater or equal to upload_max_filesize. If you are ubuntu user then first locate your php.ini. Use bash  command “locate php.ini” to locate…

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What is Mathematical Morphology?

What is Mathematical Morphology?

According to Wikipedia “Mathematical morphology (MM) is a theory and technique for the analysis and processing of geometrical structures, based on set theory, lattice theory, topology, and random functions”. It is mainly applied to digital images for image processing. There are many operations of mathematical morphology but mainly used operations are dilation for increasing the image regions, erosion for shrinking the image regions and thinning for structured erosion using image pattern matching. Basic Operations of…

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What is Histograms of Oriented Gradients?

What is Histograms of Oriented Gradients?

HoGs are a feature descriptor that has been widely and successfully used for object detection. It presents objects as a single feature vector as oppossed to a set of feature vectors where each represents a segment of the image. It’s computed by sliding window detector over an image, where a HOG descriptor is a computed for each position. Like SIFT the scale of the image is adjusted (pyramiding). HOGs are often used with SVM (Support…

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What is Support Vector Machine (SVM)?

What is Support Vector Machine (SVM)?

Support Vector Machine is a supervised learning algorithm which can be used for both classification or regression problems. In this algorithm, data points are plotted in an n-dimension space (where n is a number of features) with the value of each feature being the value of a particular coordinate. Then, classification is done by finding hyper-plane separating between two classes. Support Vector Machine is a frontier which best segregates the two classes (hyper-plane/ line). Support…

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