tjunxiang92

import sys
import asyncio
import random
import telepot
from telepot.delegate import per_chat_id
from telepot.async.delegate import create_open

import os
import traceback

tjunxiang92

http://blog.romainpellerin.eu/tips-for-ffmpeg.html

# Fast Forward Video Only
ffmpeg -i test.mp4 -filter:v "setpts=0.1*PTS" -an vid10xnosound.mp4

# Fast Forward Video and Sound by 2 
ffmpeg -i test.mp4 -filter_complex "[0:v]setpts=0.5*PTS[v];[0:a]atempo=2.0[a]" -map "[v]" -map "[a]" outputff.mp4

# Remove Sound from Video
ffmpeg -i test.mp4 -c copy -an nosound.mp4

tjunxiang92

// Geocoding
// https://developers.google.com/maps/documentation/geocoding/intro
const API_KEY = "Fetch from google: https://developers.google.com/maps/documentation/javascript/get-api-key";
const address = "Here is your address";

const decodeLatLng = address => {
  return new Promise((resolve, reject) => {
    request(`https://maps.googleapis.com/maps/api/geocode/json?address=${address}&key=${API_KEY}`,
      (error, response, body) => {
        if (error) reject(error);

tjunxiang92

<!-- Add this to the bottom of theme.liquid -->
<script>
  var isActive = false;
  var index = 1;
  var maxPages = 0;

  function ScrollExecute() {
    if(!isActive && $(document).height() - 800 < ($(document).scrollTop() + $(window).height())) {
      isActive = true;
      scrollURL = $('.next a:eq(0)').last().attr('href');

tjunxiang92

0x03230350c925d80b08FdE6c6Fa4D7c9004543eC6

tjunxiang92

<activity
  android:name=".MainActivity"
  android:launchMode="singleTop"
  android:theme="@style/LaunchTheme"
  android:configChanges="orientation|keyboardHidden|keyboard|screenSize|locale|layoutDirection|fontScale|screenLayout|density"
  android:hardwareAccelerated="true"
  android:windowSoftInputMode="adjustResize">
  <!-- Add This intent-filter -->
  <intent-filter>
    <action android:name="android.intent.action.SEND" />

tjunxiang92

Generate your CSV

head -n1000 dataset.csv > small.csv

Generate a subset of train.csv taking random samples from the dataset

tail -n +2 nyc_taxi_train_dataset.csv | gshuf -n 100000 > processed.csv
head -n1 nyc_taxi_train_dataset.csv | cat - processed.csv > temp && mv temp processed.csv

tjunxiang92

var CryptoJS = require("crypto-js");

var bot_token = "xxxxxxxxx:xxxxxxxxxxxxx";
// TODO: split the web response into the following fields
var hash = "xxx";
var data = {
  "username": "xxxx",
  "auth_date": "xxxx",
  "first_name": "xxxxxx",
  "id": "xxxxxxx",

tjunxiang92

Spaces

• Docker Repo registry.hf.space/gradio-blocks-vitpose:latest
• Start Command python -c "import time; time.sleep(86400)" Sleep required to edit the files via web console

// https://pytorch.org/get-started/previous-versions/
pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113

wget https://gist.githubusercontent.com/tjunxiang92/5e9f5b003030f2c1b4d29968a2ef73a5/raw/d6f31a7f30899ffc08125572ac40c5cdb427a063/site_packages_builder.py
mv site_packages_builder.py /home/user/.local/lib/python3.10/site-packages/mmdet/datasets/builder.py

tjunxiang92

import json
from fastapi import FastAPI, Request
from sse_starlette.sse import EventSourceResponse
import asyncio
import uvicorn
from websockets.client import connect

app = FastAPI()

async def connect_websockets():