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# M. Ernestuserniejunior

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Created Oct 28, 2015
Linear Time Divide and Conquer Maximal Sum Subsequence Algorithm
View MaximalSumSubsequence.py
 # -*- coding: utf-8 -*- import random ''' ACTUAL ALGORITHM START ''' def getMaximumSumSubsequenceInformation(sequence, start, end): ''' Returns information regarding the subsequence with maximal sum in the given
Last active Dec 24, 2015
The pot at the speed pot pin determines the overall speed (forwards and backwards might be asymmetric! The pot at the direction pot pin determines the direction. * all the way down: full speed backward * down: backwards * middle: stop * up: forwards * all the way up: full speed forward
View Control Continous Servo with 2 Pots
 #include int servoPin = 9, speedPotPin = A0, directionPotPin = A1; Servo servo; void setup() { Serial.begin(9600); pinMode(servoPin, OUTPUT); pinMode(speedPotPin, INPUT); pinMode(directionPotPin, INPUT);
Created Feb 22, 2016
View inverted_slides.py
 # -*- coding: utf-8 -*- import math import re import time def extractTerms(document): ''' Extracts all the terms (lowercased) from a document string. ''' return [t.lower() for t in re.split("\W+", document)]
Created Feb 11, 2019
pip3 freeze 11.2.2019
View pip freeze output
 absl-py==0.6.1 alabaster==0.7.10 AnyQt==0.0.8 apptools==4.4.0 apt-clone==0.2.1 apt-xapian-index==0.47 apturl==0.5.2 astor==0.7.1 atari-py==0.1.6 atomicwrites==1.2.1
Created Jul 5, 2019
An efficient way of generating a large number of trajectories for a QuadrotorEnvironment
View episode_generation.py
 import time import numpy as np from quadrotor_environment.quadrotor_model import SysState from quadrotor_environment.simulation_parameter_randomization import SPRWrappedQuadrotorEnvironment from stable_baselines import PPO2 state_dtype = np.dtype([("position", np.float, 3), ("velocity", np.float, 3), ("rotation", np.quaternion),
Last active Dec 11, 2019 — forked from fmder/elastic_transform.py
Elastic transformation of an image in Python
View elastic_transform.py
 import numpy as np from scipy.ndimage.interpolation import map_coordinates from scipy.ndimage.filters import gaussian_filter def elastic_transform(image, alpha, sigma, random_state=None): """Elastic deformation of images as described in [Simard2003]_. .. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for Convolutional Neural Networks applied to Visual Document Analysis", in Proc. of the International Conference on Document Analysis and Recognition, 2003.
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