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Code snippets from my Computer Vision ND

# 2d localization

import pdb
from helpers import normalize, blur
import numpy as np

def initialize_beliefs(grid):

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omega_xi matrix

Localization including movement only

part of my Computer Vision ND

import numpy as np

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omega_xi matrix

Localization including sensor measurment for a single landmark

part of my Computer Vision ND

import numpy as np

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Example of numpy array padding with zeros while increasing the size of a matrix. Additionally, the placement of the a small matrix inside the padded matrix is shown. The small transformation matrix (2x2) is put on the diagonal of the mxm matrix surrounded by zeros.

import numpy as np

# transformation matrix unit
tr = np.array([[1,-1],[-1,1]])

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Sum of all the functions and code to make SLAM

import numpy as np
from helpers import make_data


        
       
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Image processing code snippets from the Udacity CVND.

import matplotlib.pyplot as plt
import numpy as np
import cv2

# Read in the image
image = cv2.imread('images/pizza_bluescreen.jpg')
image_copy = np.copy(image)

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Load image apply high-pass filter apply fourier tr

import numpy as np
import matplotlib.pyplot as plt
import cv2

# Read in an image

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Canny Edge Detection

Hough Line Detection

import numpy as np
import matplotlib.pyplot as plt
import cv2

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Harris corner detection

Detect corners

import matplotlib.pyplot as plt
import numpy as np
import cv2

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Finding Contours Fit Ellipse Crop selected contour based on angle of ellips

import numpy as np
import matplotlib.pyplot as plt
import cv2