Python - ekelner, analiza obrazu
Dodano nasłuchiwanie folderu pod kątem pojawiania się nowych obrazów. Dodano połączenie z bazą danych, wraz z dodawaniem rekordów
This commit is contained in:
parent
c1ae17227d
commit
d9493aee69
|
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@ -1,7 +1,14 @@
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@ -14,18 +21,15 @@
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@ -62,6 +72,50 @@
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<option name="MODULE_MODE" value="false" />
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@ -84,6 +138,28 @@
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<option name="INPUT_FILE" value="" />
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<method v="2" />
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</configuration>
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<configuration name="mysqlConnect" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
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@ -108,10 +184,16 @@
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@ -137,53 +219,57 @@
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<state x="431" y="145" width="672" height="678" key="search.everywhere.popup" timestamp="1592602138706">
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<screen x="0" y="0" width="1536" height="824" />
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<state x="431" y="145" width="672" height="678" key="search.everywhere.popup/0.0.1536.824@0.0.1536.824" timestamp="1592602138706" />
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</component>
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</project>
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||||
|
|
@ -0,0 +1,82 @@
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|||
from datetime import datetime
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from os import scandir
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||||
from time import sleep
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||||
import numpy as np
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||||
import argparse
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||||
import cv2
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||||
from photoAnalysisUtils import *
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||||
from menuAnalysis import *
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||||
from mysqlConnect import *
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||||
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||||
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||||
def convert_date(timestamp):
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d = datetime.utcfromtimestamp(timestamp)
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formated_date = d.strftime('%d %b %Y %H:%M:%S"')
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return formated_date
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||||
def get_files():
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||||
dir_entries = scandir('../orders/')
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||||
for entry in dir_entries:
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||||
if entry.is_file():
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||||
info = entry.stat()
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||||
#print(f'{entry.name}\t Created: {convert_date(info.st_ctime)}')
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||||
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||||
def compareNewest(newest_info):
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||||
dir_entries = scandir('orders/')
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||||
for entry in dir_entries:
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||||
if entry.is_file():
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||||
info = entry.stat()
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||||
info = info.st_ctime
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||||
if datetime.fromtimestamp(info) > datetime.fromtimestamp(newest_info):
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return entry
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return True
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||||
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||||
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||||
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||||
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||||
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newest_file = 0
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newest_info = 0
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dir_entries = scandir('orders/')
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||||
for entry in dir_entries:
|
||||
if entry.is_file():
|
||||
info = entry.stat()
|
||||
info = info.st_ctime
|
||||
if newest_file == 0:
|
||||
newest_file = entry
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||||
newest_info = newest_file.stat()
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||||
newest_info = newest_info.st_ctime
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||||
# print(convert_date(info.st_ctime))
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||||
#print(f'{newest_file.name}\t Przypisany: {convert_date(newest_info)}')
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||||
else:
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||||
if datetime.fromtimestamp(info) > datetime.fromtimestamp(newest_info):
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||||
#print(f'{entry.name}\t Nowszy: {convert_date(info)}')
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||||
#print(f'{newest_file.name}\t Starszy: {convert_date(newest_info)}')
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||||
newest_file = entry
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||||
newest_info = newest_file.stat()
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||||
newest_info = newest_info.st_ctime
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||||
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||||
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||||
try:
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||||
while True:
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||||
sleep(1)
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||||
if compareNewest(newest_info) != True:
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||||
# Sprawdzanie czy nowy plik
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||||
newest_file = compareNewest(newest_info)
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||||
newest_info = newest_file.stat()
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||||
newest_info = newest_info.st_ctime
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||||
print('Nowy plik to:')
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||||
print(datetime.fromtimestamp(newest_info))
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||||
print(f'{newest_file.name}\t Data: {newest_info}')
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||||
print(newest_file.name)
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||||
|
||||
# URL Do analizy pliku
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||||
url = 'orders/'+ str(newest_file.name)
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||||
print(url)
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||||
img_tested = cv2.imread(url)
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||||
mySqlRecords(menuAnalyseIMG(img_tested))
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||||
|
||||
|
||||
|
||||
except KeyboardInterrupt:
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||||
pass
|
||||
|
|
@ -3,49 +3,56 @@ import argparse
|
|||
import cv2
|
||||
from photoAnalysisUtils import *
|
||||
|
||||
img_tested = cv2.imread("samples/CCI18022020.jpg")
|
||||
image = img_tested
|
||||
def menuAnalyseIMG(url):
|
||||
result_vector = []
|
||||
img_tested = url
|
||||
image = img_tested
|
||||
|
||||
|
||||
blurred = cv2.GaussianBlur(image, (5, 5), 0)
|
||||
edged = cv2.Canny(blurred, 20, 50)
|
||||
height = image.shape[0]
|
||||
width = image.shape[1]
|
||||
blurred = cv2.GaussianBlur(image, (5, 5), 0)
|
||||
edged = cv2.Canny(blurred, 20, 50)
|
||||
height = image.shape[0]
|
||||
width = image.shape[1]
|
||||
|
||||
referencePoint = open("referencePoint.txt", "r")
|
||||
checkBoxesCords = open("checkBoxesCords.txt", "r")
|
||||
referencePoint = referencePoint.readlines()
|
||||
checkBoxesCords = checkBoxesCords.readlines()
|
||||
referencePoint = open("referencePoint.txt", "r")
|
||||
checkBoxesCords = open("checkBoxesCords.txt", "r")
|
||||
referencePoint = referencePoint.readlines()
|
||||
checkBoxesCords = checkBoxesCords.readlines()
|
||||
|
||||
|
||||
for corners in referencePoint:
|
||||
template_x, template_y = corners.split()
|
||||
for corners in referencePoint:
|
||||
template_x, template_y = corners.split()
|
||||
|
||||
image, x, y = searchReferencePointCorner(image)
|
||||
image, x, y = searchReferencePointCorner(image)
|
||||
|
||||
offsetX = int(template_x) - x
|
||||
offsetY = int(template_y) - y
|
||||
i=1
|
||||
offsetX = int(template_x) - x
|
||||
offsetY = int(template_y) - y
|
||||
i=1
|
||||
|
||||
for checkBox in checkBoxesCords:
|
||||
x, y, w, h = checkBox.split()
|
||||
x = int(x) - offsetX
|
||||
y = int(y) - offsetY
|
||||
w = int(w)
|
||||
h = int(h)
|
||||
cv2.rectangle(image, (x, y), (x + w, y + h), (36, 255, 12), 2)
|
||||
crop_img = edged[y:y + h, x:x + w]
|
||||
n_white_pix = np.sum(crop_img == 255)
|
||||
n_black_pix = np.sum(crop_img == 0)
|
||||
if(n_white_pix+n_black_pix)*0.2 < n_white_pix:
|
||||
print(str(i)+" FILL")
|
||||
else:
|
||||
print(str(i)+" EMPTY")
|
||||
#print("White i ="+str(i)+" white = "+str(n_white_pix))
|
||||
#print("Black i ="+str(i)+" black = "+str(n_black_pix))
|
||||
#cv2.imwrite("maska"+str(i)+".jpg", crop_img)
|
||||
i = i+1
|
||||
for checkBox in checkBoxesCords:
|
||||
x, y, w, h = checkBox.split()
|
||||
x = int(x) - offsetX
|
||||
y = int(y) - offsetY
|
||||
w = int(w)
|
||||
h = int(h)
|
||||
cv2.rectangle(image, (x, y), (x + w, y + h), (36, 255, 12), 2)
|
||||
crop_img = edged[y:y + h, x:x + w]
|
||||
n_white_pix = np.sum(crop_img == 255)
|
||||
n_black_pix = np.sum(crop_img == 0)
|
||||
if(n_white_pix+n_black_pix)*0.2 < n_white_pix:
|
||||
#print(str(i)+" FILL")
|
||||
result_vector.append([i, 1])
|
||||
else:
|
||||
#print(str(i)+" EMPTY")
|
||||
result_vector.append([i, 0])
|
||||
#print("White i ="+str(i)+" white = "+str(n_white_pix))
|
||||
#print("Black i ="+str(i)+" black = "+str(n_black_pix))
|
||||
#cv2.imwrite("maska"+str(i)+".jpg", crop_img)
|
||||
i = i+1
|
||||
|
||||
|
||||
cv2.imwrite("tested.jpg", image)
|
||||
cv2.imwrite("tested.jpg", image)
|
||||
return result_vector
|
||||
|
||||
# img_tested = cv2.imread('orders/1.jpg')
|
||||
# menuAnalyseIMG(img_tested)
|
||||
|
|
@ -0,0 +1,70 @@
|
|||
import mysql.connector
|
||||
import random
|
||||
import string
|
||||
|
||||
from datetime import datetime
|
||||
|
||||
def id_generator(size=5, chars=string.ascii_uppercase + string.digits):
|
||||
return ''.join(random.choice(chars) for _ in range(size))
|
||||
|
||||
|
||||
def mySqlRecords(array):
|
||||
mydb = mysql.connector.connect(
|
||||
host="localhost",
|
||||
user="root",
|
||||
password="",
|
||||
database="kelner"
|
||||
)
|
||||
|
||||
timestamp = 1545730073
|
||||
mycursor = mydb.cursor(buffered=True)
|
||||
# Wyciąganie aktualnego aktywnego szablonu oraz przypisywanie ID do activeTemplateID
|
||||
mycursor.execute("SELECT id FROM template WHERE active=1")
|
||||
myresult = mycursor.fetchone()
|
||||
activeTemplateID = str(myresult[0])
|
||||
|
||||
|
||||
|
||||
# for x in myresult:
|
||||
# print(x)
|
||||
|
||||
|
||||
price = 0
|
||||
# array = [[1, 0], [2, 0], [3, 1], [4, 0], [5, 0], [6, 0], [7, 1], [8, 0], [9, 1]]
|
||||
|
||||
# Wyliczanie ceny
|
||||
for x in array:
|
||||
if x[1] == 1:
|
||||
# Wyciaganie szablonu dan po id szablonu oraz numerze checkboxu
|
||||
checkboxnumber = str(x[0])
|
||||
mycursor.execute("SELECT * FROM templatedishmap WHERE template_id=" + activeTemplateID + " AND checkboxnumber=" + checkboxnumber)
|
||||
myresult = mycursor.fetchone()
|
||||
price = price + myresult[3]*myresult[5]
|
||||
|
||||
# Dodanie zamówienia
|
||||
sql = "INSERT INTO orders (number, price, active, created_at) VALUES (%s, %s, 1, %s)"
|
||||
val = (str(id_generator()), str(price), str(datetime.fromtimestamp(timestamp)))
|
||||
mycursor.execute(sql, val)
|
||||
mydb.commit()
|
||||
|
||||
# Sprawdzenie id ostatniego zamowienia
|
||||
mycursor = mydb.cursor(buffered=True)
|
||||
mycursor.execute("SELECT id FROM orders ORDER BY id DESC")
|
||||
myresult = mycursor.fetchone()
|
||||
addedID = myresult[0]
|
||||
|
||||
|
||||
|
||||
for x in array:
|
||||
if x[1] == 1:
|
||||
# Wyciaganie szablonu dan po id szablonu oraz numerze checkboxu
|
||||
checkboxnumber = str(x[0])
|
||||
mycursor.execute("SELECT * FROM templatedishmap WHERE template_id=" + activeTemplateID + " AND checkboxnumber=" + checkboxnumber)
|
||||
myresult = mycursor.fetchone()
|
||||
templateDishMapID = myresult[0]
|
||||
# Dodawanie poszczegolnych potraw do zamowienia
|
||||
sql = "INSERT INTO orders_template_dish_map (order_id, template_id, created_at) VALUES (%s, %s, %s)"
|
||||
val = (str(addedID), str(templateDishMapID), str(datetime.fromtimestamp(timestamp)))
|
||||
mycursor.execute(sql, val)
|
||||
|
||||
mydb.commit()
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 603 KiB |
|
|
@ -22,6 +22,7 @@ def searchReferencePointCorner(image):
|
|||
x, y, w, h = cv2.boundingRect(approx)
|
||||
aspect_ratio = w / float(h)
|
||||
area = cv2.contourArea(c)
|
||||
|
||||
if len(approx) == 4 and area < threshold_max_area and area > threshold_min_area and (aspect_ratio >= 0.9 and aspect_ratio <= 1.1):
|
||||
# Prawy górny róg
|
||||
if x > width * 0.80 and y < height * 0.20:
|
||||
|
|
|
|||
Loading…
Reference in New Issue