adelosa

import os
import tempfile
import unittest

from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

from youapp.model import Base   # replace this with your app's model base

"""

FBosler

from functools import lru_cache
from datetime import datetime

@lru_cache(maxsize=None)
def fib_cache(n):
    if n < 2:
        return n
    return fib_cache(n-1) + fib_cache(n-2)

def fib_no_cache(n):

tzvsi

Step 1: Installing CUDA (~5.5 minutes)

You can also install CUDA directly from the offline installer, but this is a little easier.

sudo apt update
sudo apt upgrade -y

mkdir install ; cd install
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin

YashasSamaga

import cv2
import time

CONFIDENCE_THRESHOLD = 0.2
NMS_THRESHOLD = 0.4
COLORS = [(0, 255, 255), (255, 255, 0), (0, 255, 0), (255, 0, 0)]

class_names = []
with open("classes.txt", "r") as f:
    class_names = [cname.strip() for cname in f.readlines()]

myounus96

myounus96

Convert PascalVOC Annotations to YOLO

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

Instructions:

1. Place the convert_voc_to_yolo.py file into your data folder.

raulqf

How to install OpenCV 4.5.2 with CUDA 11.2 and CUDNN 8.2 in Ubuntu 22.04

First of all install update and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Then, install required libraries:

smeschke

import cv2
import numpy as np


src = 255 - cv2.imread('/home/stephen/Desktop/I7Ykpbs.jpg',0)
scores = []

h,w = src.shape
small_dimention = min(h,w)
src = src[:small_dimention, :small_dimention]

leandrobmarinho

import cv2
import numpy as np

scale = 0.00392
classes_file = "coco.names"
weights = "yolov2.weights"
config_file = "yolov2.cfg"

# read class names from text file
classes = None

pknowledge

import numpy as np
import cv2

#events = [i for i in dir(cv2) if 'EVENT' in  i]
#print(events)

def click_event(event, x, y, flags, param):
    if event == cv2.EVENT_LBUTTONDOWN:
        print(x,', ' ,y)
        font = cv2.FONT_HERSHEY_SIMPLEX