shreyapamecha Goto Github PK

calculating-tons-per-hour-of-limestone-on-running-over-land-belt-conveyor

The main objective is to reckon or calculate the area covered by limestone on running OLBC (Over Land Belt Conveyor) and subsequently, converting it into volume to thereby estimate tons per hour.

dont-get-kicked--predict-if-a-car-purchased-at-auction-is-a-good-or-bad-buy-

Developed a classification model which would help in predicting whether a car purchased is a good or bad buy.

face-recognition-using-eigenfaces

The algorithm developed by Vision and Modelling group for near-real-time face recognition system is implemented using AT & T dataset by Olivetti Research Laboratory.

floor-plan-optimization-using-non-dominated-sorting-genetic-algorithm-nsga-

function-approximation-using-mlp

I'm trying to approximate the Egg Holder function using Neural Network by incorporating only one hidden layer.

halftoning

Halftoning is a method for creating the illusion of continuous tone output with a binary device. Here, I have implemented several halftoning techniques such as thresholding, random noise binarization, order dither (2*2, 4*4 and 8*8) and error diffusion.

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

optimization-of-levi-function-using-pso

room-allocation-using-particle-swarm-optimization-pso-

speed-estimation-of-vehicles-with-plate-detection

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.

user-defined-function-for-arithmetic-coding

user-defined-function-for-spatial-filtering-

The output of the code written in Python (imfilter17110150) should be somewhat similar to that of the in-built function present in MATLAB (imfilter).