Andrew-Pynch

const hiraganaToRomajiMap: Map<string, string> = new Map([
  ['あ', 'a'],
  ['い', 'i'],
  ['う', 'u'],
  ['え', 'e'],
  ['お', 'o'],
  ['か', 'ka'],
  ['き', 'ki'],
  ['く', 'ku'],
  ['け', 'ke'],

Andrew-Pynch

a
b
c
d
e
f
g
h
i
j

Andrew-Pynch

int rows, cols;
int scl = 20;
int w = 2920; 
int h = 1080;

float flying = 0;

// 2d array in java
float[][] terrain;

Andrew-Pynch

import cv2
import numpy as np
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim


REBUILD_DATA = False # set to true to one once, then back to false unless you want to change something in your training data.

Andrew-Pynch

# Ping PLC

ping -t 10.114.4.10 > C:\Users\apynch\Github\scripts\ignition.txt

# Ping google

ping -t google.com > C:\Users\apynch\Github\scripts\google.txt

Andrew-Pynch

new_q = (1 - LEARNING_RATE) * current_q + LEARNING_RATE * (reward + DISCOUNT * max_future_q)
        q_table[observation][action] = reward

Andrew-Pynch

def crop_lower_half(fnames): # fnames is a list of jpg names in a folder
    for i, file in enumerate(fnames):
        cropped_image = crop(open_image(jpg_extractions[i]), 1910, 1.29995, 0)
        print(i)
        print(file)
        cropped_image.save("/home/andrew/Github/neuralink-bot/image_manipulation/cropped_jpgs/top_crop/top_crop_%s.jpg" % (str(i)))

Andrew-Pynch

 
import sys
sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages')

import cv2
vidcap = cv2.VideoCapture('neuralink3.mp4')
success,image = vidcap.read()
count = 0

while success:

Andrew-Pynch

def order_files_by_date(path_to_folder, file_type):
    files = glob.glob("%s*%s" % (path_to_folder, file_type))
    files.sort(key=os.path.getmtime)
    return files