import random import math import customtkinter import tkinter import pandas as pd import os import pickle from scipy.sparse import hstack from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.preprocessing import LabelBinarizer from .modeltrainer import preprocess import tkinter.messagebox class Predict(customtkinter.CTkToplevel): model_dir = "models/" def __init__(self, parent): super().__init__(parent) self.parent = parent self.title("Predictions") self.grab_set() self.focus_set() posx = int(self.winfo_screenwidth()/2 - 150) posy = int(self.winfo_screenheight()/2 - 350) self.geometry("300x650+{}+{}".format(posx, posy)) self.resizable(False, False) # title self.title_label = customtkinter.CTkLabel(self, text="Title", anchor='w') self.title_label.pack(pady=5, padx=30, fill='x', side=tkinter.TOP, anchor='w') self.title_entry = customtkinter.CTkEntry(self, width=240) self.title_entry.pack(pady=10, padx=10) self.title_entry.insert(0, 'A good openCV tutorial?') # selftext self.selftext_label = customtkinter.CTkLabel(self, text="Selftext", anchor='w') self.selftext_label.pack(pady=5, padx=30, fill='x', side=tkinter.TOP, anchor='w') self.selftext_entry = customtkinter.CTkTextbox(self, width=240, height=100) self.selftext_entry.pack(pady=10, padx=10) self.selftext_entry.insert("0.0", "So I'm learning openCV in python, and now I want as a project to develop some score calculator for a scrabble game. I watched this tutorial from codecamp, and i read about of functionalities of opencv module (such as medianblur, gaussianblur, addweighted, Canny, threshold, and so on), but i still can't grasp it together. Like, i know how to blur an image, to reduce noise let's say, but i don't know when to do that, and especially, why and how much, so I'm searching for a good openCV tutorial that explains these situations. \n As an example, yesterday I did a project where i would've get a sudoku box from an image(by getting the top left, top right, bottom left, bottom right corners of the sudoku box). However, when I tried the same code for the project with the scrabble board, it's a total mess.") # subreddit self.subreddit_label = customtkinter.CTkLabel(self, text="Subreddit", anchor='w') self.subreddit_label.pack(pady=5, padx=30, fill='x', side=tkinter.TOP, anchor='w') self.subreddit_entry = customtkinter.CTkOptionMenu(self, values=self.parent.posts['subreddit'].unique(), width=240) self.subreddit_entry.pack(pady=10, padx=10) self.subreddit_entry.set(self.parent.posts['subreddit'].unique()[0]) # day self.day_label = customtkinter.CTkLabel(self, text="Day", anchor='w') self.day_label.pack(pady=5, padx=30, fill='x', side=tkinter.TOP, anchor='w') self.day_entry = customtkinter.CTkOptionMenu(self, values=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'], width=240) self.day_entry.pack(pady=10, padx=10) self.day_entry.set('Monday') # hour self.hour_label = customtkinter.CTkLabel(self, text="Hour", anchor='w') self.hour_label.pack(pady=5, padx=30, fill='x', side=tkinter.TOP, anchor='w') hours = ['{}:00'.format(i) for i in range(24)] self.hour_entry = customtkinter.CTkOptionMenu(self, values=hours, width=240) self.hour_entry.pack(pady=10, padx=10) self.hour_entry.set('10:00') # distinguished self.distinguished_entry = customtkinter.CTkCheckBox(self, text="Distinguished") self.distinguished_entry.pack(pady=10, padx=10) # button for predicting self.predict_button = customtkinter.CTkButton(self, text="Predict", command=self.predict) self.predict_button.pack(pady=10, padx=10) # button for closing the window self.close_button = customtkinter.CTkButton(self, text="Close", command=self.destroy) self.close_button.pack(pady=10, padx=10) def predict(self): title = self.title_entry.get() selftext = self.selftext_entry.get("1.0", tkinter.END) subreddit = self.subreddit_entry.get() day = self.day_entry.get() hour = self.hour_entry.get() hour = int(hour.split(':')[0]) distinguished = self.distinguished_entry.get() if not title or not selftext or not subreddit or not day or not hour: tkinter.messagebox.showerror('Error', 'Please fill all the fields') return # load the model ups_model = pickle.load(open(os.path.join(self.model_dir, "DummyRegressor_ups.pkl"), 'rb')) num_comments_model = pickle.load(open(os.path.join(self.model_dir, "DummyRegressor_num_comments.pkl"), 'rb')) text = title + " " + selftext text = preprocess(text) post = pd.DataFrame({ 'text': [text], 'subreddit': [subreddit], 'day': [day], 'hour': [hour], 'distinguished': [distinguished] }) self.tfidf_vectorizer = TfidfVectorizer() self.label_binarizer = LabelBinarizer() post_cat = [self.label_binarizer.fit_transform(post[col]) for col in ['subreddit', 'day', 'hour', 'distinguished']] post_text = self.tfidf_vectorizer.fit_transform(post['text']) postX = hstack([post_text] + post_cat).tocsr() ups = int(ups_model.predict(postX)[0]) num_comments = int(num_comments_model.predict(postX)[0]) # random bias from the prediction ups = int(ups // math.log(ups + 1)) num_comments = int(num_comments // math.log(num_comments + 1)) tkinter.messagebox.showinfo('Predictions', 'Predicted ups: {}\nPredicted num_comments: {}'.format(ups, num_comments))