Simon simgt

I hereby claim:

To claim this, I am signing this object:

	def conv_bn(inp, oup, stride):
	return nn.Sequential(
	nn.Conv2d(inp, oup, 3, stride, 1, bias=False),
	nn.BatchNorm2d(oup),
	nn.ReLU6(inplace=True)
	)


	def conv_1x1_bn(inp, oup):
	return nn.Sequential(

	import sys
	from pathlib import Path
	from functools import partial
	from collections import defaultdict
	import logging

	import torch

	logger = logging.getLogger(__name__)

	import threading
	import time

	import flask
	import cv2


	class CameraThread(threading.Thread):
	def __init__(self):
	super().__init__()

	#! /usr/bin/env python3

	import argparse
	from pathlib import Path
	from random import shuffle
	import shutil

	if __name__ == '__main__':
	parser = argparse.ArgumentParser(description="""
	Split a dataset in two given a ratio.

	local torch =require 'torch'
	local nn =require 'nn'
	local rnn =require 'rnn'
	local gnuplot = require 'gnuplot'

	torch.setnumthreads(4)
	print('number of threads: ' .. torch.getnumthreads())

	batchSize = 16
	rho = 16 -- sequence length

	" Night Garden
	" Author: Simon Guillot <[first name].[last name]@epita.fr>
	" Note: Based on the Tomorrow-Night-Eighties theme

	hi clear

	set background=dark
	if version > 580
	" no guarantees for version 5.8 and below, but this makes it stop
	" complaining