Week 5 - Curve fitting

Conditional GAN (cGAN)Generative Adversarial Network   AbstractGenerative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for generating images. Here in this project, a conditional GAN is applied to generate and train a model to generate…

AIM: Image Segmentation using Mask RCNN   CODE: I tried visualising the mask RCNN object segmentation using the provided link... but I got of errors and tried clearing them. Still, the code is reading only one class name every time I try, even after passing the 'coco.names' file for classes So I tried a different…

Aim: To detect objects in the image using Tensorflow API Coding: 1. Import the necessary modules like cv2, numpy, os, tensorflow and get_files from tensorflow keras 2. create functions to read classes from coco.names files (file is attached below) 3. create another function to download model from tensorflow detection model…

AIM: To track objects in a video using Deep Sort and draw bounding boxes with object id.  Procedure: Deep SORT: Deep Simple OnlineRealTime Tracking is a highly efficient algorithm for tracking detected objects with bounding boxes and assigning an id to every detected object in a sequence. Detection Estimation…

Aim:  To detect corners of objects in a frame using the Shi-Tomasi corner detector and their displacement from frame to frame using Lucas Kanade Optical Flow method. Procedure: Optical Flow: Optical Flow task implies the calculation of the shift vector for pixel as an object displacement difference between…

Aim:  To understand and implement an image classification model using MobileNet Architecture (MNA). Procedure: MobileNet Architecture (MNA): The MobileNet model is designed to be used in mobile applications, and it is TensorFlow’s first mobile computer vision model. MobileNet uses depthwise separable convolutions. It…

AIM: To perform lane detection on a given video The following code is used to solve the problem and everything was detailed in the code with comments:   #Import necessary modules import cv2 import numpy as np from PIL import Image import matplotlib.pyplot as plt from scipy import spatial import math import warnings…

Objective: To perform the following tasks: Script two functions to perform edge detection on a given image using the Prewitt filter and Laplacian filter, Compare both the images and justify which output is better than the other. Prewitt Operator:  Prewitt operator is used for edge detection in an image. It detects…

Objective: The aim of the task is to rotate the provided image by 140 degrees and scale it to half using OpenCV in python. Process:  The below code has read_image, display_image, save_image and rotate_image defined functions to read, display, save and rotate the particular image respectively. Angle = 140 degrees…

Objective: 1. To parse the data from a file provided. 2. To calculate the area under the curve of Pressure vs Volume. 3. To calculate the engine's power output and specific fuel consumption. Process: The area under the curve is calculated using the Trapezoidal rule. work_done = area under the curve of Pressure vs Volume…

1. What do popt and pcov mean? (Watch the video to get some context) Ans: popt : array Optimal values for the parameters so that the sum of the squared residuals of f (xdata, *popt) - ydata is minimized         pcov : 2d array The estimated covariance of popt. The diagonals provide the variance…

Objective: To solve the second-order ODE equation and create an animated gif video of a simple pendulum. Solution:  The second order ode represents the motion of the simple pendulum and the equation is as follows: `(d^2 theta)/dt + b/m (dtheta)/dt + g/l sin theta = 0`  ....... (1) Python uses scipy integration…

Objective: To plot P-V curve of Otto Cycle and find the efficiency of cycle Problem Statement:  In an ideal Otto cycle, the system executing the cycle undergoes a series of four internally reversible processes: two isentropic (reversible adiabatic) processes alternated with two isochoric processes.  1-2:…

Rankine_cycle.m has the code to calculate all state variables at four points and work done by turbine and efficiency using the function code from XSteam.m and the respective grphs of T-s and H-s are too attached. 

Genetic algorithm (GA) is a method for solving both constrained and unconstrained optimization problems based on a natural selection process that mimics biological evolution. The algorithm repeatedly modifies a population of individual solutions. At each step, the genetic algorithm randomly selects individuals from the…

% Parsing the data from Thermo.dat file % Step 1: Opening file and reading file % step 2: Extracting Global Temperatures % Step 3: Finding total number of species % Step 4: Extracting LOcal Temperatures of species % Step 5 : Extracting coefficients from three lines of species % Step 6: Finding ENthalpy % Step 6: Finding…

I have used ODE45 to solve ODE function which can be found in Pendulum_motion_sol.m and ode_func.m and  To simulate the oscillation of pendulum, I have used Euler's Method and the coding can be found in pendulum_simulation.m and the youtube video link has been attachedPendulum Oscillation video

% program in Matlab to simulate the forward kinematics of a 2R Robotic Arm close all clearvars clc % Arms lengths, l1 attached at origin and l2 attached at the end of l1 l1= 1; l2 = 0.5; % theta1 and theta2 are angle of arms wrt x-axis theta = linspace(0, 90, 20); %theta2 = linspace(0,180, 4); ct = 1; for i= 1:length(theta)…