radames

function layout() {
    return {
        name: "Grid",
        getFrameAssignments: (windows, screenFrame) => {
            const numWindows = windows.length;
            const numRows = Math.floor(Math.sqrt(numWindows));
            const numCols = Math.ceil(Math.sqrt(numWindows));

            const cellWidth = screenFrame.width / numCols;
            const cellHeight = screenFrame.height / numRows;

radames

import json
import requests
from PIL import Image
import io
import re
from time import time

API_TOKEN = ""  # token in case you want to use private API
headers = {
    # "Authorization": f"Bearer {API_TOKEN}",

radames

Bookmark this javascript code to make the minimal Stable Diffusion UI thanks to @huggingface inference API pic.twitter.com/i1slI4ObdH

— Radamés Ajna (@radamar) February 1, 2023

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

Bookmark this code

javascript:p=prompt("Enter your prompt:");fetch("https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5",{method:"POST",headers:{"content-type":"application/json","X-Wait-For-Model":"true"},body:JSON.stringify({inputs:p})}).then(e=>e.blob()).then(e=>window.open(URL.createObjectURL(e),"_self"))

radames

# https://github.com/numba/llvmlite/issues/693#issuecomment-909501195
brew install llvm@11   
LLVM_CONFIG="/opt/homebrew/Cellar/llvm@11/11.1.0_4/bin/llvm-config" arch -arm64 pip install llvmlite

pip install umap-learn

radames

<div class="animation"></div>
<div class="slider"></div>
<p>
  Credit:
  <a
    href="https://observablehq.com/@observablehq/how-to-embed-a-notebook-in-a-react-app"
    >🤔 How to: Embed a Notebook in a React App by Observable</a
  >
</p>

radames

Connect to your Google Colab Notebook via SSH

Using this amazing project tmate.io you can SSH tunnel to your colab notebook machine. You can with few lines of code download the binary, run an instance in the background and output the generated SSH address.

!wget -nc https://github.com/tmate-io/tmate/releases/download/2.4.0/tmate-2.4.0-static-linux-i386.tar.xz &> /dev/null
!tar --skip-old-files -xvf tmate-2.4.0-static-linux-i386.tar.xz &> /dev/null
!rm -f nohup.out; bash -ic 'nohup ./tmate-2.4.0-static-linux-i386/tmate -S /tmp/tmate.sock new-session -d & disown -a' >/dev/null 2>&1
!./tmate-2.4.0-static-linux-i386/tmate -S /tmp/tmate.sock wait tmate-ready

radames

#!/bin/zsh
# You can run this on base folder with all csvs

rm -f res/world.tsv;
touch res/world.tsv;
firstfile=`ls -t *.tsv | head -n 1`
col=`echo 'code\t'`
firstline=`ls -t *.tsv | head -n 1 | xargs sed -n '1,1p'`
res=`echo $firstline | sed 's/^/'$col'/'`;
echo $res >> res/world.tsv;

radames

// add this to functions.php
//register acf fields to Wordpress API
//https://support.advancedcustomfields.com/forums/topic/json-rest-api-and-acf/

function acf_to_rest_api($response, $post, $request) {
    if (!function_exists('get_fields')) return $response;

    if (isset($post)) {
        $acf = get_fields($post->id);
        $response->data['acf'] = $acf;

radames

Keybase proof

I hereby claim:

• I am radames on github.
• I am radames (https://keybase.io/radames) on keybase.
• I have a public key whose fingerprint is 00F4 8FAC 27C4 481A 55AE ABFB A5A5 1E37 DF61 6F4D

To claim this, I am signing this object:

radames

import cv2

cap = cv2.VideoCapture(0)
cap.set(3, 640)  # WIDTH
cap.set(4, 480)  # HEIGHT

face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_eye.xml")

while(True):