wmalarski

import random
from typing import NamedTuple, Dict, Any, Callable, Optional
import pandas as pd
import numpy as np
from enum import Enum
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt

wmalarski

import sys
import time
from typing import Dict, Optional, Tuple, Any

import numpy as np
from PySide2.QtCore import QAbstractItemModel, QModelIndex, Qt
from PySide2.QtWidgets import QApplication, QTreeView


class TreeItem:

wmalarski

import sys
from enum import Enum, IntEnum
from typing import Dict, Union, List

from PySide2.QtCore import Qt, QObject, QModelIndex
from PySide2.QtGui import QPaintEvent, QPalette, QColor
from PySide2.QtWidgets import QApplication, QMainWindow, QWidget, QHBoxLayout, QTreeWidget, QTreeWidgetItem, \
    QToolButton, QWidgetAction, QCheckBox, QAction, QDockWidget, QPushButton, QStyle, QStylePainter, QStyleOptionButton, \
    QStyleOptionToolButton, QFrame, QLabel, QVBoxLayout

wmalarski

import sys
from enum import Enum, IntEnum
from typing import List

from PySide2.QtCore import QPropertyAnimation, QByteArray, Signal, QRect, Qt
from PySide2.QtGui import QResizeEvent, QColor, QMouseEvent
from PySide2.QtWidgets import QApplication, QWidget, QGridLayout, QLabel, QPushButton, \
    QFrame, QToolButton, QHBoxLayout, QVBoxLayout, \
    QGraphicsColorizeEffect, QStackedWidget, QButtonGroup, QAbstractButton, QToolBar, QMainWindow, QSizePolicy, \
    QDockWidget

wmalarski

import sys
from typing import Any

from PySide2.QtCore import QAbstractProxyModel, QModelIndex, QIdentityProxyModel, QSortFilterProxyModel, QFileInfo, Qt
from PySide2.QtWidgets import QApplication, QFileDialog, QWidget, QGridLayout, QLabel, QDialogButtonBox, QPushButton, \
    QSizeGrip, QSplitter, QFrame, QListView, QToolButton, QFileSystemModel


# class AdditionalColumnsProxyModel(QIdentityProxyModel):
#

wmalarski

import base64

from aiohttp import web
import socketio
import cv2

# creates a new Async Socket IO Server
sio = socketio.AsyncServer(cors_allowed_origins=[])
# Creates a new Aiohttp Web Application
app = web.Application()

wmalarski

clear;clc;

% https://www.mathworks.com/help/deeplearning/examples/train-deep-learning-network-to-classify-new-images.html

%% Loading monkey data
imdsValidation = imageDatastore('10-monkey-species/validation', 'IncludeSubfolders',true,'LabelSource','foldernames');
imdsTrain = imageDatastore('10-monkey-species/training', 'IncludeSubfolders',true,'LabelSource','foldernames');

%% Selecting cnn model
net = resnet50;

wmalarski

import inspect


class Context:

    def __init__(self):
        self._filters = {}
        self._parsers = {}
        self._runnable_attr = '_runnable'

wmalarski

import multiprocessing
import os
import pickle
from os import path, getpid
from typing import Dict, Set, Tuple

import numpy as np
import pandas as pd
import seaborn as sns
from tqdm import tqdm

wmalarski

from collections import defaultdict


class Context(object):

    def __init__(self):
        self._classes = {}
        self._instances = {}

    def feature(self, component_cls):