alvonx

mainVideo = container.querySelector("video");
mainVideo.crossOrigin = "anonymous";

var dataURI = canvas.toDataURL('image/jpeg');

ctx.drawImage(mainVideo, 0, 0, canvas.width, canvas.height);

alvonx

class bcolors:
    HEADER = '\033[95m'
    OKBLUE = '\033[94m'
    OKCYAN = '\033[96m'
    OKGREEN = '\033[92m'
    WARNING = '\033[93m'
    FAIL = '\033[91m'
    ENDC = '\033[0m'
    BOLD = '\033[1m'
    UNDERLINE = '\033[4m'

alvonx

import glob
import xml.etree.ElementTree as ET

png_images = glob.glob('<folder_containing_xml>/*.xml')
saving_path = '<saving_folder_path>'
for i in png_images:
    print(i)
    splitted_path = i.split('/')
    path = '/'.join(splitted_path[:-1])
    name_ext = splitted_path[-1]

alvonx

async function createFile(){
    let response = await fetch('<video_url>');
    let data = await response.blob();
    console.log(data)
    var url = URL.createObjectURL(data);
    document.getElementById('video-player').src = url;
    let metadata = {
      type: 'video/mp4'
    };
    let file = new File([data], "test.jpg", metadata);

alvonx

import cv2
import time
import mediapipe as mp

class FaceDetector:
    def __init__(self, minDetectionConf=0.5):
        self.minDetectionConf = minDetectionConf
        self.mpFaceDetection = mp.solutions.face_detection
        self.mpDraw = mp.solutions.drawing_utils
        self.faceDetection = self.mpFaceDetection.FaceDetection(min_detection_confidence=self.minDetectionConf)