detection

问题 I use a code to locate text boxes and create a rectangle around them. This allows me to rebuild the grid around the table structure in the image. However, even if the text box detection works very well, if I try to define the characters present in each rectangle, pytesseract does not identify them well and does not allow to find the original text. Here is my Python code : import os import cv2 import imutils import argparse import numpy as np import pytesseract # This only works if there's

问题 I need help getting my program to match the "stored" colour with the current one in the same location then click the mouse if it's the same. The grabbing of the colour works great so far in my code just unsure how to match a colour and a point, etc. Also a start/stop button for the loop would be nice. My code so far: using System; using System.Drawing; using System.Runtime.InteropServices; using System.Threading.Tasks; using System.Windows.Forms; namespace Pixel_detection_test_3 { public

问题 TL;DR: Have water flow time series needed to be treated, can't figure it out a way to remove outlier peaks. I'm currently working in a project where I receive a .csv dataset containing two columns: date, a datetime timestamp value, a water flow value This dataset is usually one year of measures of a water flow sensor of a management entity with automatic irrigation systems, containing around 402 000 raw values. Sometimes it can have some peaks that doesn't correspond to a watering period,

问题 I try to use this solution and this (for str_eval() ) but seems other encode or other UTF8's Normalization Form , perhaps combining diacritical marks... select distinct logradouro, str_eval(logradouro) from logradouro where logradouro like '%CECi%'; -- logradouro | str_eval ------------------------------+---------------------------- -- AV CECi\u008DLIA MEIRELLES | AV CECi\u008DLIA MEIRELLES PROBLEM : how to select all rows of the table where the problem exists? That is, where \u occurs? not

问题 So, guys, please help me with detecting/tracking hand for user who are sitting at the computer in front of computer(laptop) frontal camera. I've tried these methods: Colour based detection (I've detected the human face by opencv haar cascade face detection and extracted the skin HSV ranges. In the next I've found the objects with the skin colour. For example, the face I can remove by knowing face detection by haar cascade, but what about other human body parts and background objects with skin

问题 This is my code to detect circle/balls. I want to detect soccer ball from Pi camera. (soccer ball could be in any color.) I am having trouble with some PiCameraValueError. What is wrong with this code. I am using Raspberry Pi 2, Python2, and OpenCV. from picamera.array import PiRGBArray from picamera import PiCamera import time import cv2 import sys import imutils import cv2.cv as cv # initialize the camera and grab a reference to the raw camera capture camera = PiCamera() rawCapture =

问题 This is my code to detect circle/balls. I want to detect soccer ball from Pi camera. (soccer ball could be in any color.) I am having trouble with some PiCameraValueError. What is wrong with this code. I am using Raspberry Pi 2, Python2, and OpenCV. from picamera.array import PiRGBArray from picamera import PiCamera import time import cv2 import sys import imutils import cv2.cv as cv # initialize the camera and grab a reference to the raw camera capture camera = PiCamera() rawCapture =

问题 I have a python turtle program which is displayed below. i want to be able to stop game when turtle touches black or touches line but i cant find any help online!!! import logging from datetime import datetime import time from turtle import * import winsound #while True: # player1 = input("enter player1 name\n") # break #while True: # player2 = input("enter player2 name\n") # print("Please click on window titled pacman") # break setup(600, 600) Screen() title("Rendering") horse2 = Turtle()

问题 In the code below, pathToNonDatabase is the path to a simple text file, not a real sqlite database. I was hoping for sqlite3_open to detect that, but it doesn't ( db is not NULL , and result is SQLITE_OK ). So, how to detect that a file is not a valid sqlite database? sqlite3 *db = NULL; int result = sqlite3_open(pathToNonDatabase, &db); if((NULL==db) || (result!=SQLITE_OK)) { // invalid database } 回答1: sqlite opens databases lazily. Just do something immediately after opening that requires

问题 I have a Silverlight3 application that is meant to run on both Windows and Mac OS environments. I would like to know in runtime if my application is running on a Windows or Mac so I can tweak a few things to the way users are accustomed to in their operating system of choice. For example, in Windows it is the norm to use "OK" "Cancel" buttons, while in Mac OS the norm is "Cancel" "OK" buttons (reverse order). Any ideas? 回答1: There are two ways. From Silverlight: string os = Environment