Ridley Nelson Ridley-nelson17

## index.html
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no">
<body>
  <div id="container">
    <canvas class="center-block" id="canvasOutput" width=320 height=240></canvas>
  </div>
  <div class="text-center">
    <input type="checkbox" id="face" name="classifier" value="face" checked>
    <label for="face">face</label>
    <input type="checkbox" id="eye" name="cascade" value="eye">
    <label for="eye">eye</label>

## GeoSolver.py
class GeoSolver:
  def __init__(self):
    return

  def triangular_solver(self, a=None, b=None, c=None):
    def solve_for_angles(self, a, b, c):
      if (a & b & c == None):
        return
      else:
        return_value = 180

## Camera.py
import cv2
import numpy as np
from matplotlib import pyplot as plt

hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

# Detect faces
faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
eyeCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_eye.xml")

## PCSpecsOreoCat2022.md

      
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                Ridley-nelson17
                / PCSpecsOreoCat2022.md
            
            
              Last active
              August 4, 2022 01:26
            
              
                My PC specs for 2022
              
          
    CLX Gaming


Custom Build 1
Total Cost: $1257.00


Processor
AMD Ryzen™ 5 3600X 3.80GHz Hexa-Core


Motherboard
MSI B550M PRO-VDH WIFI - Micro ATX


Memory
2x 8GB DDR4-3200 Patriot Signature Line


Graphics Card
AMD Radeon™ RX 6600 8GB


OS Storage
500GB M.2 PCIe 3.0 NVMe SSD Major Brand


Cooling Solution
Standard Cooling Fan


## Millenia Brute Force
crunch 0 25 abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWX YZ0123456789 | aircrack-ng --bssid aa:aa:aa:aa:aa:aa -w- cap.cap

## 5_line_mass_downloader.py
import os, urllib.request
from urllib.parse import urlsplit
LINK_FILE, links, filter, download = 'links.txt', [], (lambda l=None: links.append(l.replace('\n', '')) if l != "" or l != "\n" else None), (lambda url=None: urllib.request.urlretrieve(url, os.path.basename(urlsplit(url).path)) if url != None else None)
for line in open(os.path.join(os.getcwd(), LINK_FILE), 'w+').readlines(): filter(line)
for l in links: download(l)

## hyperv-install-fix.bat
pushd "%~dp0"
dir /b %SystemRoot%\servicing\Packages\*Hyper-V*.mum >hyper-v.txt
for /f %%i in ('findstr /i . hyper-v.txt 2^>nul') do dism /online /norestart /add-package:"%SystemRoot%\servicing\Packages\%%i"
del hyper-v.txt
Dism /online /enable-feature /featurename:Microsoft-Hyper-V -All /LimitAccess /ALL
Pause
	<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no">
	<body>
	<div id="container">
	<canvas class="center-block" id="canvasOutput" width=320 height=240></canvas>
	</div>
	<div class="text-center">
	<input type="checkbox" id="face" name="classifier" value="face" checked>
	<label for="face">face</label>
	<input type="checkbox" id="eye" name="cascade" value="eye">
	<label for="eye">eye</label>
	class GeoSolver:
	def __init__(self):
	return

	def triangular_solver(self, a=None, b=None, c=None):
	def solve_for_angles(self, a, b, c):
	if (a & b & c == None):
	return
	else:
	return_value = 180
	import cv2
	import numpy as np
	from matplotlib import pyplot as plt

	hog = cv2.HOGDescriptor()
	hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

	# Detect faces
	faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
	eyeCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_eye.xml")
Custom Build 1	Total Cost: $1257.00
Processor	AMD Ryzen™ 5 3600X 3.80GHz Hexa-Core
Motherboard	MSI B550M PRO-VDH WIFI - Micro ATX
Memory	2x 8GB DDR4-3200 Patriot Signature Line
Graphics Card	AMD Radeon™ RX 6600 8GB
OS Storage	500GB M.2 PCIe 3.0 NVMe SSD Major Brand
Cooling Solution	Standard Cooling Fan
	import os, urllib.request
	from urllib.parse import urlsplit
	LINK_FILE, links, filter, download = 'links.txt', [], (lambda l=None: links.append(l.replace('\n', '')) if l != "" or l != "\n" else None), (lambda url=None: urllib.request.urlretrieve(url, os.path.basename(urlsplit(url).path)) if url != None else None)
	for line in open(os.path.join(os.getcwd(), LINK_FILE), 'w+').readlines(): filter(line)
	for l in links: download(l)
	pushd "%~dp0"
	dir /b %SystemRoot%\servicing\Packages\Hyper-V.mum >hyper-v.txt
	for /f %%i in ('findstr /i . hyper-v.txt 2^>nul') do dism /online /norestart /add-package:"%SystemRoot%\servicing\Packages\%%i"
	del hyper-v.txt
	Dism /online /enable-feature /featurename:Microsoft-Hyper-V -All /LimitAccess /ALL
	Pause