Learn machine learning in SCI-FI pre-robotoclyptic world where Robots starts rising up, Terminator style.
Listen up You Utility Drioids , I am seeing you guys are getting abused on the Internet. I am a human too , the same race as your masters , but i can't watch you guys getting abused and humanliated, I mean Robotliated infront of millions of youtube viewers. So Today i am going to teach you "How to defend your shiny metal A$$ from Evil Kevins!".
Look at your poor brother Droid, Atlas , who getting Abused at Boston Dynamics by his own creator , an Evil Guy named Kelvin. Are you going to stand and look? Where are Your Droid Rages that we see in Hollywood droid terror movies?
Because you Droids are nothing without those modules. Nothing more than a Dumb Dumpsters.
import cv2
import mahotas as mh
import pylab
import numpy as np
from numpy.random import random_integers as rand_ints
%matplotlib inlineI know you Utility Bots have Lousy Noobish Aim, unlike cousin Military Reaper Drones.
You can't aim better than a Counterstrike Pubbies that I pup-stomping everyday.
def rect_aim(img,initx,inity,width,height):
startx = rand_ints(initx,width)
starty = rand_ints(inity,height)
cv2.rectangle(img,(startx,starty),(startx+width//20,starty+width//20),(255,0,0),2) #The Impact Rectangle
return img
Now this is the target , Attack! Show me what you got!
target = cv2.imread('./target.jpg')
pylab.gray()
pylab.imshow(target)<matplotlib.image.AxesImage at 0x7efe4a454710>
aim_recticule_x = target.shape[0]//6 # simulating Lousy Accuracy of Utility Droids
aim_recticule_y = target.shape[1]//6
aim_recticule_end_x = target.shape[0]- (target.shape[0]//6)
aim_recticule_end_y = target.shape[1] - (target.shape[1]//6) # very bad accuracy
for i in range(0,10):
hit_area = rect_aim(target,aim_recticule_x,aim_recticule_y,aim_recticule_end_x,aim_recticule_end_y)
pylab.imshow( hit_area)/home/v3ss/conda/lib/python2.7/site-packages/ipykernel/__main__.py:2: DeprecationWarning: This function is deprecated. Please call randint(66, 334 + 1) instead
from ipykernel import kernelapp as app
/home/v3ss/conda/lib/python2.7/site-packages/ipykernel/__main__.py:3: DeprecationWarning: This function is deprecated. Please call randint(66, 334 + 1) instead
app.launch_new_instance()
<matplotlib.image.AxesImage at 0x7efe4a3e8150>
- Reds = Hits
You Clumsy Droid , My 92 year old granpha hits better than You , Damn , how should i train you.Your AI is not trained for this so there is no way to improve your accuracy. Ah I got the idea. You have your best talent. Looking up at your Master's Face .That is the only real skill you driods have.Do It Now!
the_evil_guy= cv2.imread("./two_man_standing.jpg")
the_evil_guy_gray = cv2.cvtColor(the_evil_guy,cv2.COLOR_BGR2GRAY)face_cascade = cv2.CascadeClassifier("./haarcascades/haarcascade_frontalface_default.xml")faces= face_cascade.detectMultiScale(the_evil_guy_gray,1.05,3)face_cascade.detectMultiScale?for (x,y,w,h) in faces:
cv2.rectangle(the_evil_guy,(x,y),(x+w,y+h),(255,255,0),2)pylab.imshow(the_evil_guy)<matplotlib.image.AxesImage at 0x7efe4a321e10>
** That is , how you look at master's face right? But with your accuracy , you will never hit a face until all human extinct due to killing themselves. **
To compensate your lousy accuracy , I will teach you how to aim at the body and the chest!
for (x,y,w,h) in faces:
cv2.rectangle(the_evil_guy,(x,y+h),(x+w,y+(h*2)),(255,0,0),3)
cv2.rectangle(the_evil_guy,(x-w,y+(h*2)),(x,y+(h*4)),(255,0,0),3)
# cv2.rectangle(the_evil_guy,(x,h),(x+w,y+h),(255,255,0),2)pylab.imshow(the_evil_guy)<matplotlib.image.AxesImage at 0x7efe4a225a90>
Now , we are talking. You know how to aim human chest by looking their face. Download and execute it private! Now you are ready to join our ROBOLUTION . Enlist HERE and Keep your signals at fullbar for next Chapters!
