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from re import S
from numpy import c_
from torch.nn import Conv2d 
import torch
from refiners import fluxion
from refiners.fluxion import manual_seed
from refiners.foundationals.latent_diffusion.stable_diffusion_1.unet import DownBlocks

from torch import Tensor, no_grad

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from datasets import load_dataset, DownloadManager, Image
from sklearn.neighbors import NearestNeighbors
import pandas as pd
from PIL import Image
import numpy as np
from sklearn.metrics import ndcg_score
import time
from joblib import Parallel, delayed

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import warnings

import torch
import torch.nn.functional as F

import numpy as np

from mmcls.models.losses import Accuracy
from mmcls.models.builder import HEADS, build_loss, build_head
from mmcls.models.utils import is_tracing

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const fs = require('fs')
const folder = 'tmp/urbansoccer-tracks/'
const filename = folder + '1616079689177-person-7b4a5-0-92.316992.multiview-track';

const obj = JSON.parse(fs.readFileSync(filename));

console.log(`# Track name : ${obj.trackId} (${obj.trackCategory})`)

console.log(`\n## Cam 1 screen positions : (csv format)\n`)
console.log('frameIndex,top,left,width,height')

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// i'm using opencv4nodejs to load a file into a tensorflow tensor
const cv = require('opencv4nodejs');
const mat = cv.imread('./tmp/lenna.png')
const size = {w: mat.cols, h: mat.rows}


const mat3 = new cv.Mat(rect.h, rect.w, cv.CV_8UC3);
mat.getRegion(new cv.Rect(rect.x, rect.y, rect.w, rect.h)).copyTo(mat3)

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const cv = require('opencv4nodejs')
const tf = require('@tensorflow/tfjs-node');
const h = require('hasard')
const mat = cv.imread('./tmp/lenna.png')

const rect = {
	x: 0,
	y: 0,
	w: 400,
	h: 512

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import matplotlib.pyplot as plt
import numpy as np
import wave
import sys
import math
import contextlib

fname = 'test.wav'
outname = 'filtered.wav'

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if (typeof(define) === "undefined"){
  console.log("[ERROR] require.js is not defined");
}         
if (typeof(sand) !== "undefined"){
  console.log("[ERROR] sand is already defined");
}
var sand;
(function(){
  Array.prototype.last = String.prototype.last = function() {
    return this[this.length - 1];