vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

russss

import cv2
import numpy as np

def deskew(im, max_skew=10):
    height, width = im.shape

    # Create a grayscale image and denoise it
    im_gs = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
    im_gs = cv2.fastNlMeansDenoising(im_gs, h=3)

arccoder

"""
Script contains functions to process the lines in polar coordinate system
returned by the HoughLines function in OpenCV

Line equation from polar to cartesian coordinates
x = rho * cos(theta)
y = rho * sin(theta)

x, y are at a distance of rho from 0,0 at an angle of theta

nikkisharma536

from keras.models import Model, Input
from keras.layers import LSTM, Embedding, Dense, TimeDistributed, Dropout, Bidirectional
import keras as k
from keras_contrib.layers import CRF

input = Input(shape=(672,))
word_embedding_size = 150

# Embedding Layer
model = Embedding(input_dim=n_words, output_dim=word_embedding_size, input_length=672)(input)