bharath bharath5673

An guide how to activate Windows 11 Pro for free

Why?

Because you will get some more features like an Bitlocker and host your device as an External Desktop which can be accessed through the internet

The answer is yes! You can switch from almost any edition to Pro completely for free!

People which already have Pro, but not activated, can skip to this step.

What you first need to do is open CMD (Command Prompt) as Administrator using this keyboard key:

This script reads PascalVOC xml files, and converts them to YOLO txt files.

Note: This script was written and tested on Ubuntu. YMMV on other OS's.

Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py

Made based on CUDA 9 installation

sudo dpkg -i cuda-repo-<version>.deb
sudo apt-key add /var/cuda-repo-<version>/7fa2af80.pub
sudo apt-get update

	import cv2
	import os
	import numpy as np
	from PIL import Image, ImageFont, ImageDraw
	from typing import Tuple, Optional, Union, List
	from dataclasses import dataclass, InitVar
	import sys
	from pathlib import Path
	from enum import Enum
	import logging

	%Official Matlab version can be found in the PASCAL VOC devkit
	%http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#devkit

	% VOCLABELCOLORMAP Creates a label color map such that adjacent indices have different
	% colors. Useful for reading and writing index images which contain large indices,
	% by encoding them as RGB images.
	%
	% CMAP = VOCLABELCOLORMAP(N) creates a label color map with N entries.
	function cmap = labelcolormap(N)

	# Create video writer
	writer = cv2.VideoWriter("sample_output.avi",
	cv2.VideoWriter_fourcc(*"MJPG"),
	30,(1800,480))

	for frame in tqdm(merged_maps):
	writer.write(frame.astype('uint8'))

	writer.release()

	import cv2
	import io
	import socket
	import struct
	import time
	import pickle
	import zlib

	client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
	client_socket.connect(('192.168.1.124', 8485))

	'''
	Using OpenCV takes a mp4 video and produces a number of images.

	Requirements
	----
	You require OpenCV 3.2 to be installed.

	Run
	----
	Open the main.py and edit the path to the video. Then run:

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

	# This script does a perspective transformation with an A4 paper
	# Get an A4 sheet, put it on a table in front of your webcam
	# just close enough so that all its corners are visible.
	# Run this script, you will be given a frame from the webcam.
	# Pick the corners of the A4 sheet for the software, by double clicking on its corners
	# one by one in the following order: top left, top right, bottom left, bottom right.
	# Just as you select the last corner, a live feed without the perspective distortion
	# shows up and now you can write something on it, and have a view of it as if
	# the camera was right on top of it. Cheers!
	# visit: