ankitshekhawat

export CUDA_HOME=/usr/local/cuda
export PATH=/usr/local/cuda/bin:$PATH
export CPATH=/usr/local/cuda/include:$CPATH
export LIBRARY_PATH=/usr/local/cuda/lib64:$LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH

ankitshekhawat

Simple Installer for Docker Compose on Container-Optimized OS on Google Computing Engine

The easiest way to make Docker Compose available on Container-Optimized OS on Google Compute Engine (GCE) on Google Cloud Platform (GCP).

This is minimal Bash script version of Community Tutorial.

How to use

Simply, download installer.sh, run it, and then reload bash by source ~/.bashrc or re-login.

ankitshekhawat

// Author: Ankit Shekhawat
// Copy this code 
// Import CheerioGS lib with script id: 1ReeQ6WO8kKNxoaA_O0XEQ589cIrRvEBA9qcWpNqdOP17i47u6N9M5Xh0
// Put Identifier as "Cheerio"
// Version as 12

// ImportXML has limitations


/**

ankitshekhawat

import thinplate as tps
from PIL import Image
import morphops
import cv2
# helper function for https://github.com/cheind/py-thin-plate-spline

import thinplate as tps
from PIL import Image
import cv2

ankitshekhawat

import aria2p


# parellel run:
# aria2c --enable-rpc --rpc-listen-all
# Spawn aria server
import subprocess
subprocess.call(['gnome-terminal', '-e', 'aria2c --enable-rpc --rpc-listen-all'])

ankitshekhawat

ankitshekhawat

ankitshekhawat

{
    "lines": {
        "blueline": {
            "name": "Blue Line",
            "color": "blue",
            "type": "subway"
        },
        "redline": {
            "name": "Red Line",
            "color": "red",

ankitshekhawat

#!/bin/env bash

pip3 uninstall pillow

apt install \
    libjpeg-turbo8-dev \
    zlib1g-dev \
    libtiff5-dev \
    liblcms2-dev \
    libfreetype6-dev \

ankitshekhawat

def recall_top_k(y_true, y_pred):
    # get batch size
    batch_size = y_pred.shape[0]
    
    # get pairwise distances
    dists  = _pairwise_distances(y_pred)
    
    # get indexes of the closest item in the batch predictions 
    # (item itself is always the top_k, so hence getting the second top K)
    # top_k function gives indexes for the highest values so subtracting from 2(or a high enough number) to invert the matrix