markroxor

import urllib2
import json
import pickle
import time


while True:
    response = urllib2.urlopen('http://122.252.246.246:8081/MMTSLiveeng.html')
    html = response.read()

markroxor

Keybase proof

I hereby claim:

• I am markroxor on github.
• I am markroxor (https://keybase.io/markroxor) on keybase.
• I have a public key whose fingerprint is 88E6 23D1 6F92 29B0 0EBC 60E1 9A40 0A69 45E9 1AA6

To claim this, I am signing this object:

markroxor

running install
running bdist_egg
running egg_info
writing requirements to gensim.egg-info/requires.txt
writing gensim.egg-info/PKG-INFO
writing top-level names to gensim.egg-info/top_level.txt
writing dependency_links to gensim.egg-info/dependency_links.txt
reading manifest file 'gensim.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching 'COPYING.LESSER'

markroxor

Coding/gensim [TF*] » python tftest.py               
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally
E tensorflow/stream_executor/cuda/cuda_driver.cc:509] failed call to cuInit: CUDA_ERROR_NO_DEVICE
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: thehive
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: thehive
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 367.57.0

markroxor

Coding/gensim [TF*] » python tftest.py               
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 0 with properties: 
name: GeForce GTX 1060 3GB
major: 6 minor: 1 memoryClockRate (GHz) 1.797

markroxor

---------------------------------------------------
constituent[0]: file:/usr/share/maven/lib/eclipse-aether-connector-basic.jar
constituent[1]: file:/usr/share/maven/lib/maven-repository-metadata-3.x.jar
constituent[2]: file:/usr/share/maven/lib/maven-artifact-3.x.jar
constituent[3]: file:/usr/share/maven/lib/plexus-sec-dispatcher.jar
constituent[4]: file:/usr/share/maven/lib/slf4j-api.jar
constituent[5]: file:/usr/share/maven/lib/plexus-component-annotations.jar
constituent[6]: file:/usr/share/maven/lib/maven-core-3.x.jar
constituent[7]: file:/usr/share/maven/lib/commons-lang3.jar
constituent[8]: file:/usr/share/maven/lib/maven-builder-support-3.x.jar

markroxor

import urllib      # URL functions
import urllib2     # URL functions

# Set YOUR TextLocal username
username = 'mrmohitrathoremr@gmail.com'

# Set YOUR unique API hash
# It is available from the docs page
# https://control.txtlocal.co.uk/docs/

markroxor

//(҂>_<)
//<,︻╦╤─ ҉ ---- -M-A-R-K-!!!-R-O-X-O-R- ------
// /﹋\" BRATATATATATAT!!


#include<bits/stdc++.h>
#include<iostream>
#include<algorithm>
//#include<stdio.h>
#include<time.h>

markroxor

#Imports
import pygame,time,random,cv2
from detectionFunction import fingerCount
from multiprocessing.pool import ThreadPool
from collections import Counter

#Threading and Opencv
pool = ThreadPool(processes=1)
cap = cv2.VideoCapture(0)
#

markroxor

import cv2,time,thread,threading
import numpy as np,pygame
from collections import Counter

clk = pygame.time.Clock()

def fingerCount(cap,openSecs):

    ret,img = cap.read()