stories-matiasucker created by GitHub Classroom

Related tags

Third-party APIs Wrappersstories-matiasucker
Overview

Stories do Instagram

Este projeto tem como objetivo desenvolver uma pequena aplicação que simule os efeitos e funcionalidades ao estilo Instagram.

A aplicação deve permitir ao usuário:

  • Carregar uma imagem ou vídeo
  • Aplicar diferentes filtros (você deve oferecer pelo menos 4 opções diferentes)
  • Adicionar stickers (figurinhas predefinidas)
  • Adicionar outro elemento a sua escolha (gif, texto, temperatura, local, selfie, etc...)
  • Salvar a foto ou vídeo editado
  • Interação por teclado e/ou mouse

Sumário

  1. Requisitos
  2. Funcionamento
  3. Funções utilizadas da biblioteca OpenCV
  4. Técnicas e funções
    4.1 Brilho e contraste
    4.2 Blur
    4.3 Gray
    4.4 Detector de bordas canny
    4.5 Negativo da imagem
    4.6 Pontilhismo
    4.7 K-means
    4.8 Stickers
    4.9 Texto
  5. Exemplo de edição de vídeo
  6. Funcionamento do código
  7. Conclusão
  8. Código final completo em Python

Requisitos

  • Python 3.8
  • OpenCV 4.5.3
  • Numpy
  • Imutils
  • PyQt5
  • PyQt5 tools

Funcionamento do programa

O programa carrega uma interface bem simples para o usuário, onde é possível carregar fotos ou vídeos para edição. Ao carregar uma foto ou um vídeo, o usuário tem a opção de utilizar diversos filtros, dentre eles o ajuste de contraste, brilho, blur, tons de cinza, detector de bordas canny, negativo, pontilhismo, k-means, adicionar stickers e também texto. O objetivo é proporcionar uma experiência agradável para o usuário editar imagens e vídeos, gerando um resultado satisfatório.

Para utilizar é necessário seguir estes passos:

  • Criar o ambiente virtual para execução do código, instalando os pacotes conforme os requisitos acima.
  • Realizar o comando git clone para clonar o repositório, ou copiar somente a pasta stories-instagram para a pasta do seu projeto.
  • Executar o arquivo stories_instagram.py para iniciar a aplicação.

Funções utilizadas da biblioteca OpenCV

  • cvtColor()
  • threshold()
  • bitwise_not()
  • bitwise_and()
  • add()
  • convertScaleAbs()
  • GaussianBlur()
  • Canny()
  • circle()
  • kmeans()
  • imread()
  • putText()
  • imwrite()
  • VideoCapture()
  • VideoWriter_fourcc()
  • VideoWriter()

Tela inicial

Tela com uma imagem de exemplo carregada.

Técnicas e funções

Brilho e contraste

Para ajuste de brilho e contraste, foi utilizada a função convertScaleAbs() para ajustar a imagem conforme os parâmetros passados leo usuário.

        if self.contrast_adjusted == True or self.brightness_adjusted == True:
            contrast = self.contrast_spinbox.value()
            brightness = self.brightness_spinbox.value()
            self.cv_image = cv2.convertScaleAbs(self.cv_image, self.processed_cv_image, contrast, brightness)

Contraste

Brilho positivo

Brilho negativo

Blur

Para causar o efeito de blur na imagem, foi utilizada a função GaussianBlur(), passando o tamanho do kernel como parâmetros da função, quanto maior, maior o efeito do blur na imagem.

        if self.image_smoothing_checked == True:
            blur = self.smoothing_spinbox.value()
            self.cv_image = cv2.GaussianBlur(self.cv_image, (blur, blur), 0)

Blur

Gray Tons de cinza

Para transformar a imagem colorida em tons de cinza, foi utilizada a função cvtColor(), passando o parâmetro COLOR_BGR2GRAY.

        if self.gray_checked == True:
            if len(self.cv_image.shape) == 3:
                self.cv_image = cv2.cvtColor(self.cv_image, cv2.COLOR_BGR2GRAY)
            else:
                pass

Tons de cinza

Detector de bordas canny

Para detectar as bordas de uma imagem, foi utilizada a função Canny(), passando como parâmetro o valor do slider definido pelo usuário.

        if self.edge_detection_checked == True:
            slider = self.edges_slider.value()
            self.cv_image = cv2.Canny(self.cv_image, slider, 3 * slider)

Detecção de bordas com canny

Negativo da imagem

Para transformar a imagem em seu negativo, foi utilizado a função bitwise_not(), que inverte os bits de cada pixel da imagem.

        if self.negative_checked == True:
            self.cv_image = cv2.bitwise_not(self.cv_image)

Negativo da imagem

Pontilhismo

Para criar o efeito de pontilhismo na imagem, foi utilizada a função circle(), que desenha círculos na nova imagem gerada com as cores da imagem original, antes de aplicar esta técnica, é utilizado funções para randomizar a distância dos centros de cada círculo com as bibliotecas do Numpy.

        if self.points_checked == True:
            STEP = 5
            JITTER = 3
            RAIO = 3
            xrange = np.arange(0, self.cv_image.shape[0] - STEP, STEP) + STEP // 2
            yrange = np.arange(0, self.cv_image.shape[1] - STEP, STEP) + STEP // 2
            points = np.zeros(self.cv_image.shape, dtype=np.uint8)
            np.random.shuffle(xrange)
            for i in xrange:
                np.random.shuffle(yrange)
                for j in yrange:
                    x = i + np.random.randint((2 * JITTER) - JITTER + 1)
                    y = j + np.random.randint((2 * JITTER) - JITTER + 1)
                    color = self.cv_image[x, y]
                    cv2.circle(points, (y, x), RAIO, (int(color[0]), int(color[1]), int(color[2])), -1, cv2.LINE_AA)
            self.cv_image = points.copy()

Pontilhismo

K-means

Para clusterizar a imagem conforme o número de cores definido pelo usuário, foi utilizada a função kmeans(), passando como argumento o número de clusters de que se deseja.

        if self.kmeans_checked == True:
            NCLUSTERS = self.kmeans_spinbox.value()
            NROUNDS = 10
            samples = self.cv_image.reshape((-1, 3))
            samples = np.float32(samples)
            ret, labels, centers = cv2.kmeans(samples,
                                              NCLUSTERS,
                                              None,
                                              (cv2.TERM_CRITERIA_MAX_ITER | cv2.TERM_CRITERIA_EPS, 10, 1),
                                              NROUNDS,
                                              cv2.KMEANS_RANDOM_CENTERS)
            centers = np.uint8(centers)
            res = centers[labels.flatten()]
            self.cv_image = res.reshape((self.cv_image.shape))

K-means

Stickers

Para adicionar stickers, foi utilizada as funções threshold(), bitwise_not(), bitwise_and() e add() para criação da máscara e adição do sticker à imagem. Os sliders funcionam, facilitando o posicionamento do sticker em qualquer lugar na imagem, assim como também a função para modificar o tamanho do sticker.

    def overlaySticker(self):
        self.stickers_horizontal_slider.setRange(0, self.cv_image.shape[1])
        self.stickers_vertical_slider.setRange(0, self.cv_image.shape[0])

        self.size = self.stickers_spinbox.value()
        self.axis_x = self.stickers_horizontal_slider.value()
        self.axis_y = self.stickers_vertical_slider.value()

        self.sticker = imutils.resize(self.sticker, width=(self.cv_image.shape[0] // self.size))
        while True:
            if self.sticker.shape[1] <= self.cv_image.shape[1]:
                if self.sticker.shape[0] <= self.cv_image.shape[0]:
                    break
                else:
                    self.sticker = imutils.resize(self.sticker, height=(self.cv_image.shape[0] // 2))
            else:
                self.sticker = imutils.resize(self.sticker, width=(self.cv_image.shape[1] // 2))

        (rows, cols) = self.sticker.shape[:2]
        if (self.axis_y + rows) > self.cv_image.shape[0]:
            self.axis_y = self.cv_image.shape[0] - rows

        if (self.axis_x + cols) > self.cv_image.shape[1]:
            self.axis_x = self.cv_image.shape[1] - cols

        roi = self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)]
        self.sticker_gray = cv2.cvtColor(self.sticker, cv2.COLOR_BGR2GRAY)
        ret, mask = cv2.threshold(self.sticker_gray, 10, 255, cv2.THRESH_BINARY)
        mask_inv = cv2.bitwise_not(mask)
        self.cv_image_bg = cv2.bitwise_and(roi, roi, mask=mask_inv)
        self.sticker_fg = cv2.bitwise_and(self.sticker, self.sticker, mask=mask)
        dst = cv2.add(self.cv_image_bg, self.sticker_fg)
        self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)] = dst

\

Elementos stickers

Texto

Para adicionar texto, foi utilizada a função putText(), onde o usuário poderá inserir o texto, e este texto é adicionado an imagem.

        if self.text_checked == True:
            text = self.textQLine.text()
            font = cv2.FONT_HERSHEY_SIMPLEX
            org = (400, 400)
            fontScale = 1
            color = (0, 0, 255)
            thickness = 2
            self.cv_image = cv2.putText(self.cv_image, text, org, font, fontScale, color, thickness, cv2.LINE_AA, False)

Adição de texto

Resultado da imagem processada

Imagem processada com vários elementos

Exemplo de edição de vídeo

Negativo do vídeo

Sticker no vídeo

Sticker no vídeo

Funcionamento do código

Importação das bibliotecas.

import sys, os, cv2, imutils
import numpy as np
from PyQt5.QtWidgets import (QApplication, QMainWindow, QWidget, QLabel, QLineEdit,
                             QPushButton, QCheckBox, QSpinBox, QDoubleSpinBox, QSlider, QFrame, QFileDialog,
                             QMessageBox, QHBoxLayout, QVBoxLayout, QAction)
from PyQt5.QtGui import QPixmap, QImage
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtCore import Qt


Estilizando a interface com o usuário

style_sheet = """
QLabel#ImageLabel{
color: darkgrey;
border: 2px solid #000000;
qproperty-alignment: AlignCenter
}"""


Classe principal do programa

class StoriesInstagram(QMainWindow):
    def __init__(self):
        super().__init__()
        self.initializeUI()


Função para inicializar as componentes gráficas.

    def initializeUI(self):
        self.setMinimumSize(900, 600)
        self.setWindowTitle('Stories Instagram')
        self.contrast_adjusted = False
        self.brightness_adjusted = False
        self.image_smoothing_checked = False
        self.gray_checked = False
        self.edge_detection_checked = False
        self.points_checked = False
        self.kmeans_checked = False
        self.negative_checked = False
        self.stickers_checked = False
        self.text_checked = False
        self.setupWindow()
        self.setupMenu()
        self.show()


Função para renderizar as componentes gráficas

    def setupWindow(self):
        self.image_label = QLabel()
        self.image_label.setObjectName("ImageLabel")

        self.desktop = cv2.imread("assets/stories-do-instagram.png")
        self.convertCVToQImage(self.desktop)

        self.contrast_spinbox = QDoubleSpinBox()
        self.contrast_spinbox.setMinimumWidth(100)
        self.contrast_spinbox.setRange(0.0, 4.0)
        self.contrast_spinbox.setValue(1.0)
        self.contrast_spinbox.setSingleStep(.10)
        self.contrast_cb = QCheckBox("Contraste [Range: 0.0:4.0]")
        self.contrast_cb.stateChanged.connect(self.adjustContrast)

        self.brightness_spinbox = QSpinBox()
        self.brightness_spinbox.setMinimumWidth(100)
        self.brightness_spinbox.setRange(-127, 127)
        self.brightness_spinbox.setValue(0)
        self.brightness_spinbox.setSingleStep(1)
        self.brightness_cb = QCheckBox("Brilho [Range: -127:127]")
        self.brightness_cb.stateChanged.connect(self.adjustBrightness)

        self.smoothing_spinbox = QSpinBox()
        self.smoothing_spinbox.setMinimumWidth(100)
        self.smoothing_spinbox.setRange(3, 25)
        self.smoothing_spinbox.setValue(3)
        self.smoothing_spinbox.setSingleStep(2)
        self.filter_2D_cb = QCheckBox("Blur [Range: 3:25]")
        self.filter_2D_cb.stateChanged.connect(self.imageSmoothingFilter)

        self.gray_cb = QCheckBox("Tons de cinza")
        self.gray_cb.stateChanged.connect(self.makeGray)

        self.edges_slider = QSlider()
        self.edges_slider.setGeometry(QtCore.QRect(370, 340, 160, 19))
        self.edges_slider.setMinimumWidth(100)
        self.edges_slider.setRange(10, 300)
        self.edges_slider.setValue(10)
        self.edges_slider.setSingleStep(10)
        self.edges_slider.setOrientation(QtCore.Qt.Horizontal)
        self.canny_cb = QCheckBox("Detector de Bordas [Range: 10:300]")
        self.canny_cb.stateChanged.connect(self.edgeDetection)

        self.negative_cb = QCheckBox("Negativo")
        self.negative_cb.stateChanged.connect(self.makeNegative)

        self.points_cb = QCheckBox("Pontilhismo")
        self.points_cb.stateChanged.connect(self.makePoints)

        self.kmeans_spinbox = QSpinBox()
        self.kmeans_spinbox.setMinimumWidth(100)
        self.kmeans_spinbox.setRange(1, 32)
        self.kmeans_spinbox.setValue(8)
        self.kmeans_spinbox.setSingleStep(1)
        self.kmeans_cb = QCheckBox("K-means [Range: 1:32]")
        self.kmeans_cb.stateChanged.connect(self.kmeansFilter)

        self.stickers_cb = QCheckBox("Adicionar stickers")
        self.stickers_cb.stateChanged.connect(self.addStickers)

        self.radioButton = QtWidgets.QRadioButton()
        self.radioButton.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton.setText("Capitão américa")

        self.radioButton2 = QtWidgets.QRadioButton()
        self.radioButton2.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton2.setText("Cerveja")

        self.radioButton3 = QtWidgets.QRadioButton()
        self.radioButton3.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton3.setText("Ônibus")

        self.radioButton4 = QtWidgets.QRadioButton()
        self.radioButton4.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton4.setText("Las Vegas")

        self.radioButton5 = QtWidgets.QRadioButton()
        self.radioButton5.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton5.setText("Morte")

        self.radioButton6 = QtWidgets.QRadioButton()
        self.radioButton6.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton6.setText("Batman")

        self.stickers_horizontal_slider = QSlider()
        self.stickers_horizontal_slider.setGeometry(QtCore.QRect(370, 340, 160, 19))
        self.stickers_horizontal_slider.setMinimumWidth(100)
        self.stickers_horizontal_slider.setRange(0, 1200)
        self.stickers_horizontal_slider.setValue(0)
        self.stickers_horizontal_slider.setSingleStep(1)
        self.stickers_horizontal_slider.setOrientation(QtCore.Qt.Horizontal)

        self.stickers_vertical_slider = QSlider()
        self.stickers_vertical_slider.setGeometry(QtCore.QRect(370, 340, 19, 160))
        self.stickers_vertical_slider.setMinimumHeight(200)
        self.stickers_vertical_slider.setInvertedAppearance(True)
        self.stickers_vertical_slider.setRange(0, 920)
        self.stickers_vertical_slider.setValue(0)
        self.stickers_vertical_slider.setSingleStep(1)
        self.stickers_vertical_slider.setOrientation(QtCore.Qt.Vertical)

        self.stickersLabel = QLabel("Tamanho do sticker [Range: 1:5]")
        self.stickers_spinbox = QSpinBox()
        self.stickers_spinbox.setMinimumWidth(100)
        self.stickers_spinbox.setRange(1, 5)
        self.stickers_spinbox.setValue(5)
        self.stickers_spinbox.setSingleStep(1)

        self.text_cb = QCheckBox("Adicionar texto")
        self.text_cb.stateChanged.connect(self.addText)
        self.textQLine = QLineEdit("")
        self.textQLine.setMinimumWidth(100)
        self.textQLine.setMinimumHeight(50)

        self.apply_process_button = QPushButton("Aplicar filtros")
        self.apply_process_button.setEnabled(False)
        self.apply_process_button.clicked.connect(self.applyImageProcessing)

        self.reset_button = QPushButton("Voltar imagem original")
        self.reset_button.setEnabled(False)
        self.reset_button.clicked.connect(self.resetImageAndSettings)

        self.line1 = QtWidgets.QFrame()
        self.line1.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line1.setFrameShape(QtWidgets.QFrame.HLine)
        self.line1.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line1.setObjectName("line1")

        self.line2 = QtWidgets.QFrame()
        self.line2.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line2.setFrameShape(QtWidgets.QFrame.HLine)
        self.line2.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line2.setObjectName("line2")

        self.line3 = QtWidgets.QFrame()
        self.line3.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line3.setFrameShape(QtWidgets.QFrame.HLine)
        self.line3.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line3.setObjectName("line3")

        self.line4 = QtWidgets.QFrame()
        self.line4.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line4.setFrameShape(QtWidgets.QFrame.HLine)
        self.line4.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line4.setObjectName("line4")

        self.line5 = QtWidgets.QFrame()
        self.line5.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line5.setFrameShape(QtWidgets.QFrame.HLine)
        self.line5.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line5.setObjectName("line5")

        self.line6 = QtWidgets.QFrame()
        self.line6.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line6.setFrameShape(QtWidgets.QFrame.HLine)
        self.line6.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line6.setObjectName("line6")

        self.line7 = QtWidgets.QFrame()
        self.line7.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line7.setFrameShape(QtWidgets.QFrame.HLine)
        self.line7.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line7.setObjectName("line7")

        self.line8 = QtWidgets.QFrame()
        self.line8.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line8.setFrameShape(QtWidgets.QFrame.HLine)
        self.line8.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line8.setObjectName("line8")

        self.line9 = QtWidgets.QFrame()
        self.line9.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line9.setFrameShape(QtWidgets.QFrame.HLine)
        self.line9.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line9.setObjectName("line9")

        self.line10 = QtWidgets.QFrame()
        self.line10.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line10.setFrameShape(QtWidgets.QFrame.HLine)
        self.line10.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line10.setObjectName("line10")

        side_panel_v_box = QVBoxLayout()
        side_panel_v_box.setAlignment(Qt.AlignTop)

        side_panel_v_box.addWidget(self.contrast_cb)
        side_panel_v_box.addWidget(self.contrast_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line1)

        side_panel_v_box.addWidget(self.brightness_cb)
        side_panel_v_box.addWidget(self.brightness_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line2)

        side_panel_v_box.addWidget(self.filter_2D_cb)
        side_panel_v_box.addWidget(self.smoothing_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line3)

        side_panel_v_box.addWidget(self.gray_cb)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line4)

        side_panel_v_box.addWidget(self.canny_cb)
        side_panel_v_box.addWidget(self.edges_slider)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line5)

        side_panel_v_box.addWidget(self.negative_cb)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line6)

        side_panel_v_box.addWidget(self.points_cb)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line7)

        side_panel_v_box.addWidget(self.kmeans_cb)
        side_panel_v_box.addWidget(self.kmeans_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line8)
        side_panel_v_box.addWidget(self.stickers_cb)

        side_panel_v_box.addWidget(self.radioButton)
        side_panel_v_box.addWidget(self.radioButton2)
        side_panel_v_box.addWidget(self.radioButton3)
        side_panel_v_box.addWidget(self.radioButton4)
        side_panel_v_box.addWidget(self.radioButton5)
        side_panel_v_box.addWidget(self.radioButton6)

        side_panel_v_box.addWidget(self.stickers_horizontal_slider)
        side_panel_v_box.addWidget(self.stickers_vertical_slider)
        side_panel_v_box.addWidget(self.stickersLabel)
        side_panel_v_box.addWidget(self.stickers_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line9)
        side_panel_v_box.addWidget(self.text_cb)
        side_panel_v_box.addWidget(self.textQLine)

        side_panel_v_box.addSpacing(100)
        side_panel_v_box.addWidget(self.line10)
        side_panel_v_box.addWidget(self.apply_process_button)
        side_panel_v_box.addWidget(self.reset_button)

        side_panel_frame = QFrame()
        side_panel_frame.setMinimumWidth(250)
        side_panel_frame.setFrameStyle(QFrame.WinPanel)
        side_panel_frame.setLayout(side_panel_v_box)

        scrollArea = QtWidgets.QScrollArea()
        scrollArea.setMinimumWidth(300)
        scrollArea.setWidgetResizable(True)
        scrollArea.setWidget(side_panel_frame)

        main_h_box = QHBoxLayout()
        main_h_box.addWidget(self.image_label, 1)
        main_h_box.addWidget(scrollArea)

        container = QWidget()
        container.setLayout(main_h_box)
        self.setCentralWidget(container)


Função para renderizar o menu superior.

    def setupMenu(self):
        open_image_act = QAction('Abrir imagem', self)
        open_image_act.setShortcut('Ctrl+O')
        open_image_act.triggered.connect(self.openImageFile)
        save_image_act = QAction('Salvar imagem', self)
        save_image_act.setShortcut('Ctrl+S')
        save_image_act.triggered.connect(self.saveImageFile)

        open_video_act = QAction('Abrir video', self)
        open_video_act.setShortcut('Ctrl+O')
        open_video_act.triggered.connect(self.openVideoFile)
        save_video_act = QAction('Salvar video', self)
        save_video_act.setShortcut('Ctrl+S')
        save_video_act.triggered.connect(self.saveVideoFile)

        menu_bar = self.menuBar()
        menu_bar.setNativeMenuBar(False)

        file_menu = menu_bar.addMenu('File')
        file_menu.addAction(open_image_act)
        file_menu.addAction(save_image_act)
        file_menu.addAction(open_video_act)
        file_menu.addAction(save_video_act)


Funções para identificar o estado de ativação das alterações para cada função FILTRO.

    def adjustContrast(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.contrast_adjusted = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.contrast_adjusted = False


    def adjustBrightness(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.brightness_adjusted = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.brightness_adjusted = False


    def imageSmoothingFilter(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.image_smoothing_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.image_smoothing_checked = False


    def makeGray(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.gray_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.gray_checked = False


    def edgeDetection(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.edge_detection_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.edge_detection_checked = False


    def makeNegative(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.negative_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.negative_checked = False


    def makePoints(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.points_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.points_checked = False


    def kmeansFilter(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.kmeans_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.kmeans_checked = False

    def addStickers(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.stickers_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.stickers_checked = False

    def addText(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.text_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.text_checked = False


Função para adicionar um sticker à uma imagem, os sliders funcionam em toda a sua região, é possível adicionar um sticker em qualquer área da imagem, e ainda selecionar o tamanho deste sticker.

    def overlaySticker(self):
        self.stickers_horizontal_slider.setRange(0, self.cv_image.shape[1])
        self.stickers_vertical_slider.setRange(0, self.cv_image.shape[0])

        self.size = self.stickers_spinbox.value()
        self.axis_x = self.stickers_horizontal_slider.value()
        self.axis_y = self.stickers_vertical_slider.value()

        self.sticker = imutils.resize(self.sticker, width=(self.cv_image.shape[0] // self.size))
        while True:
            if self.sticker.shape[1] <= self.cv_image.shape[1]:
                if self.sticker.shape[0] <= self.cv_image.shape[0]:
                    break
                else:
                    self.sticker = imutils.resize(self.sticker, height=(self.cv_image.shape[0] // 2))
            else:
                self.sticker = imutils.resize(self.sticker, width=(self.cv_image.shape[1] // 2))

        (rows, cols) = self.sticker.shape[:2]
        if (self.axis_y + rows) > self.cv_image.shape[0]:
            self.axis_y = self.cv_image.shape[0] - rows

        if (self.axis_x + cols) > self.cv_image.shape[1]:
            self.axis_x = self.cv_image.shape[1] - cols

        roi = self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)]
        self.sticker_gray = cv2.cvtColor(self.sticker, cv2.COLOR_BGR2GRAY)
        ret, mask = cv2.threshold(self.sticker_gray, 10, 255, cv2.THRESH_BINARY)
        mask_inv = cv2.bitwise_not(mask)
        self.cv_image_bg = cv2.bitwise_and(roi, roi, mask=mask_inv)
        self.sticker_fg = cv2.bitwise_and(self.sticker, self.sticker, mask=mask)
        dst = cv2.add(self.cv_image_bg, self.sticker_fg)
        self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)] = dst


Função para aplicar os filtros escolhidos na imagem.

    def applyImageProcessing(self):
        if self.contrast_adjusted == True or self.brightness_adjusted == True:
            contrast = self.contrast_spinbox.value()
            brightness = self.brightness_spinbox.value()
            self.cv_image = cv2.convertScaleAbs(self.cv_image, self.processed_cv_image, contrast, brightness)

        if self.image_smoothing_checked == True:
            blur = self.smoothing_spinbox.value()
            self.cv_image = cv2.GaussianBlur(self.cv_image, (blur, blur), 0)

        if self.gray_checked == True:
            if len(self.cv_image.shape) == 3:
                self.cv_image = cv2.cvtColor(self.cv_image, cv2.COLOR_BGR2GRAY)
            else:
                pass

        if self.edge_detection_checked == True:
            slider = self.edges_slider.value()
            self.cv_image = cv2.Canny(self.cv_image, slider, 3 * slider)

        if self.negative_checked == True:
            self.cv_image = cv2.bitwise_not(self.cv_image)

        if self.points_checked == True:
            STEP = 5
            JITTER = 3
            RAIO = 3
            xrange = np.arange(0, self.cv_image.shape[0] - STEP, STEP) + STEP // 2
            yrange = np.arange(0, self.cv_image.shape[1] - STEP, STEP) + STEP // 2
            points = np.zeros(self.cv_image.shape, dtype=np.uint8)
            np.random.shuffle(xrange)
            for i in xrange:
                np.random.shuffle(yrange)
                for j in yrange:
                    x = i + np.random.randint((2 * JITTER) - JITTER + 1)
                    y = j + np.random.randint((2 * JITTER) - JITTER + 1)
                    color = self.cv_image[x, y]
                    cv2.circle(points, (y, x), RAIO, (int(color[0]), int(color[1]), int(color[2])), -1, cv2.LINE_AA)
            self.cv_image = points.copy()

        if self.kmeans_checked == True:
            NCLUSTERS = self.kmeans_spinbox.value()
            NROUNDS = 10
            samples = self.cv_image.reshape((-1, 3))
            samples = np.float32(samples)
            ret, labels, centers = cv2.kmeans(samples,
                                              NCLUSTERS,
                                              None,
                                              (cv2.TERM_CRITERIA_MAX_ITER | cv2.TERM_CRITERIA_EPS, 10, 1),
                                              NROUNDS,
                                              cv2.KMEANS_RANDOM_CENTERS)
            centers = np.uint8(centers)
            res = centers[labels.flatten()]
            self.cv_image = res.reshape((self.cv_image.shape))


        if self.stickers_checked == True:
            if self.radioButton.isChecked():
                self.sticker = cv2.imread("assets/capitao.png")
                self.overlaySticker()

            elif self.radioButton2.isChecked():
                self.sticker = cv2.imread("assets/cerveja.png")
                self.overlaySticker()

            elif self.radioButton3.isChecked():
                self.sticker = cv2.imread("assets/onibus.png")
                self.overlaySticker()

            elif self.radioButton4.isChecked():
                self.sticker = cv2.imread("assets/lasvegas.png")
                self.overlaySticker()

            elif self.radioButton5.isChecked():
                self.sticker = cv2.imread("assets/morte.png")
                self.overlaySticker()

            elif self.radioButton6.isChecked():
                self.sticker = cv2.imread("assets/batman.png")
                self.overlaySticker()

        if self.text_checked == True:
            text = self.textQLine.text()
            font = cv2.FONT_HERSHEY_SIMPLEX
            org = (400, 400)
            fontScale = 1
            color = (0, 0, 255)
            thickness = 2
            self.cv_image = cv2.putText(self.cv_image, text, org, font, fontScale, color, thickness, cv2.LINE_AA, False)

        self.convertCVToQImage(self.cv_image)
        self.image_label.repaint()


Função para cancelar os filtros, limpar os checkbox de seleção e voltar a imagem original.

    def resetImageAndSettings(self):
        answer = QMessageBox.information(self, "Voltar imagem original",
                                         "Você tem certeza de que deseja voltar a imagem original?",
                                         QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
        if answer == QMessageBox.No:
            pass
        elif answer == QMessageBox.Yes and self.image_label.pixmap() != None:
            self.cv_image = self.copy_cv_image.copy()
            self.resetWidgetValues()
            self.convertCVToQImage(self.copy_cv_image)
            self.image_label.repaint()


    def resetWidgetValues(self):
        self.contrast_cb.setChecked(False)
        self.contrast_spinbox.setValue(1.0)
        self.brightness_cb.setChecked(False)
        self.brightness_spinbox.setValue(0)
        self.filter_2D_cb.setChecked(False)
        self.smoothing_spinbox.setValue(3)
        self.gray_cb.setChecked(False)
        self.canny_cb.setChecked(False)
        self.edges_slider.setValue(10)
        self.negative_cb.setChecked(False)
        self.points_cb.setChecked(False)
        self.kmeans_cb.setChecked(False)
        self.kmeans_spinbox.setValue(8)
        self.stickers_cb.setChecked(False)
        self.stickers_spinbox.setValue(5)
        self.radioButton.setChecked(False)
        self.radioButton2.setChecked(False)
        self.radioButton3.setChecked(False)
        self.radioButton4.setChecked(False)
        self.radioButton5.setChecked(False)
        self.radioButton6.setChecked(False)
        self.stickers_horizontal_slider.setValue(0)
        self.stickers_vertical_slider.setValue(0)
        self.text_cb.setChecked(False)
        self.textQLine.setText("")


Função para abrir uma imagem.

    def openImageFile(self):
        image_file, _ = QFileDialog.getOpenFileName(self, "Abrir imagem",
                                                    os.getenv('HOME'), "Images (*.png *.jpeg *.jpg *.bmp)")
        if image_file:
            self.resetWidgetValues()
            self.apply_process_button.setEnabled(True)
            self.reset_button.setEnabled(True)
            self.cv_image = cv2.imread(image_file)
            self.copy_cv_image = self.cv_image.copy()
            self.processed_cv_image = np.zeros(self.cv_image.shape, self.cv_image.dtype)
            self.convertCVToQImage(self.cv_image)
        else:
            QMessageBox.information(self, "Erro", "Nenhuma imagem foi carregada.", QMessageBox.Ok)


Função para salvar uma imagem.

    def saveImageFile(self):
        image_file, _ = QFileDialog.getSaveFileName(self, "Salvar imagem",
                                                    os.getenv('HOME'),
                                                    "JPEG (*.jpeg);;JPG (*.jpg);;PNG (*.png);;Bitmap (*.bmp)")
        if image_file and self.image_label.pixmap() != None:
            cv2.imwrite(image_file, self.cv_image)
        else:
            QMessageBox.information(self, "Erro",
                                    "Não é possível salvar a imagem.", QMessageBox.Ok)


Função para abrir um vídeo.

    def openVideoFile(self):
        self.input_video_file, _ = QFileDialog.getOpenFileName(self, "Abrir video",
                                                    os.getenv('HOME'), "Video (*.mp4)")
        if self.input_video_file:
            self.resetWidgetValues()
            self.apply_process_button.setEnabled(True)
            self.reset_button.setEnabled(True)
            capture = cv2.VideoCapture(self.input_video_file)
            exist_frame, frame = capture.read()
            self.height, self.width = frame.shape[:2]
            if exist_frame:
                frame = cv2.cvtColor(frame, cv2.IMREAD_COLOR)
                self.cv_image = cv2.cvtColor(frame, cv2.IMREAD_COLOR)
                self.copy_cv_image = self.cv_image.copy()

                self.processed_cv_image = np.zeros(self.cv_image.shape, self.cv_image.dtype)
                self.convertCVToQImage(self.cv_image)
        else:
            QMessageBox.information(self, "Erro", "Nenhum video foi carregado.", QMessageBox.Ok)


Função para salvar um vídeo.

    def saveVideoFile(self):
        self.output_video_file, _ = QFileDialog.getSaveFileName(self, "Salvar video",
                                                    os.getenv('HOME'),
                                                    "AVI (*.avi)")
        if self.output_video_file and self.image_label.pixmap() != None:
            capture = cv2.VideoCapture(self.input_video_file)
            fourcc = cv2.VideoWriter_fourcc(*'XVID')
            out = cv2.VideoWriter(self.output_video_file, fourcc, 24, (self.width, self.height))
            while True:
                exist_frame, frame = capture.read()
                if not exist_frame:
                    break

                self.cv_image = frame
                self.applyImageProcessing()

                frame = self.cv_image
                out.write(frame)

            capture.release()
            out.release()
        else:
            QMessageBox.information(self, "Erro",
                                    "Não é possível salvar o video.", QMessageBox.Ok)


Função para converter uma imagem carregada pelo OpenCV para uma imagem a ser reconhecida pela função QImage da biblioteca PyQt5.

    def convertCVToQImage(self, image):
        cv_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        height, width, channels = cv_image.shape
        bytes_per_line = width * channels
        converted_Qt_image = QImage(cv_image, width, height, bytes_per_line, QImage.Format_RGB888)
        self.image_label.setPixmap(QPixmap.fromImage(converted_Qt_image).scaled(
            self.image_label.width(), self.image_label.height(),
            Qt.KeepAspectRatio))


Entrypoint do programa, função principal main para iniciar o programa.

if __name__ == '__main__':
    app = QApplication(sys.argv)
    app.setStyleSheet(style_sheet)
    window = StoriesInstagram()
    sys.exit(app.exec_())

\

Conclusão

O programa desenvolvido apresentou bons resultados tanto na edição de imagem, quanto na edição de vídeo, o usuário é capaz de carregar um arquivo de imagem ou vídeo, escolher o filtro desejado, aplicar mais de um filtro, e depois salvar, também é possível desfazer os filtros e voltar a imagem original para recomeçar com outros filtros.. A interação do usuário através da interface gráfica utilizando o PyQt5, também se torna mais atrativa durante a edição.

Código final completo em Python

self.cv_image.shape[0]: self.axis_y = self.cv_image.shape[0] - rows if (self.axis_x + cols) > self.cv_image.shape[1]: self.axis_x = self.cv_image.shape[1] - cols roi = self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)] self.sticker_gray = cv2.cvtColor(self.sticker, cv2.COLOR_BGR2GRAY) ret, mask = cv2.threshold(self.sticker_gray, 10, 255, cv2.THRESH_BINARY) mask_inv = cv2.bitwise_not(mask) self.cv_image_bg = cv2.bitwise_and(roi, roi, mask=mask_inv) self.sticker_fg = cv2.bitwise_and(self.sticker, self.sticker, mask=mask) dst = cv2.add(self.cv_image_bg, self.sticker_fg) self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)] = dst def applyImageProcessing(self): if self.contrast_adjusted == True or self.brightness_adjusted == True: contrast = self.contrast_spinbox.value() brightness = self.brightness_spinbox.value() self.cv_image = cv2.convertScaleAbs(self.cv_image, self.processed_cv_image, contrast, brightness) if self.image_smoothing_checked == True: blur = self.smoothing_spinbox.value() self.cv_image = cv2.GaussianBlur(self.cv_image, (blur, blur), 0) if self.gray_checked == True: if len(self.cv_image.shape) == 3: self.cv_image = cv2.cvtColor(self.cv_image, cv2.COLOR_BGR2GRAY) else: pass if self.edge_detection_checked == True: slider = self.edges_slider.value() self.cv_image = cv2.Canny(self.cv_image, slider, 3 * slider) if self.negative_checked == True: self.cv_image = cv2.bitwise_not(self.cv_image) if self.points_checked == True: STEP = 5 JITTER = 3 RAIO = 3 xrange = np.arange(0, self.cv_image.shape[0] - STEP, STEP) + STEP // 2 yrange = np.arange(0, self.cv_image.shape[1] - STEP, STEP) + STEP // 2 points = np.zeros(self.cv_image.shape, dtype=np.uint8) np.random.shuffle(xrange) for i in xrange: np.random.shuffle(yrange) for j in yrange: x = i + np.random.randint((2 * JITTER) - JITTER + 1) y = j + np.random.randint((2 * JITTER) - JITTER + 1) color = self.cv_image[x, y] cv2.circle(points, (y, x), RAIO, (int(color[0]), int(color[1]), int(color[2])), -1, cv2.LINE_AA) self.cv_image = points.copy() if self.kmeans_checked == True: NCLUSTERS = self.kmeans_spinbox.value() NROUNDS = 10 samples = self.cv_image.reshape((-1, 3)) samples = np.float32(samples) ret, labels, centers = cv2.kmeans(samples, NCLUSTERS, None, (cv2.TERM_CRITERIA_MAX_ITER | cv2.TERM_CRITERIA_EPS, 10, 1), NROUNDS, cv2.KMEANS_RANDOM_CENTERS) centers = np.uint8(centers) res = centers[labels.flatten()] self.cv_image = res.reshape((self.cv_image.shape)) if self.stickers_checked == True: if self.radioButton.isChecked(): self.sticker = cv2.imread("assets/capitao.png") self.overlaySticker() elif self.radioButton2.isChecked(): self.sticker = cv2.imread("assets/cerveja.png") self.overlaySticker() elif self.radioButton3.isChecked(): self.sticker = cv2.imread("assets/onibus.png") self.overlaySticker() elif self.radioButton4.isChecked(): self.sticker = cv2.imread("assets/lasvegas.png") self.overlaySticker() elif self.radioButton5.isChecked(): self.sticker = cv2.imread("assets/morte.png") self.overlaySticker() elif self.radioButton6.isChecked(): self.sticker = cv2.imread("assets/batman.png") self.overlaySticker() if self.text_checked == True: text = self.textQLine.text() font = cv2.FONT_HERSHEY_SIMPLEX org = (400, 400) fontScale = 1 color = (0, 0, 255) thickness = 2 self.cv_image = cv2.putText(self.cv_image, text, org, font, fontScale, color, thickness, cv2.LINE_AA, False) self.convertCVToQImage(self.cv_image) self.image_label.repaint() def resetImageAndSettings(self): answer = QMessageBox.information(self, "Voltar imagem original", "Você tem certeza de que deseja voltar a imagem original?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) if answer == QMessageBox.No: pass elif answer == QMessageBox.Yes and self.image_label.pixmap() != None: self.cv_image = self.copy_cv_image.copy() self.resetWidgetValues() self.convertCVToQImage(self.copy_cv_image) self.image_label.repaint() def resetWidgetValues(self): self.contrast_cb.setChecked(False) self.contrast_spinbox.setValue(1.0) self.brightness_cb.setChecked(False) self.brightness_spinbox.setValue(0) self.filter_2D_cb.setChecked(False) self.smoothing_spinbox.setValue(3) self.gray_cb.setChecked(False) self.canny_cb.setChecked(False) self.edges_slider.setValue(10) self.negative_cb.setChecked(False) self.points_cb.setChecked(False) self.kmeans_cb.setChecked(False) self.kmeans_spinbox.setValue(8) self.stickers_cb.setChecked(False) self.stickers_spinbox.setValue(5) self.radioButton.setChecked(False) self.radioButton2.setChecked(False) self.radioButton3.setChecked(False) self.radioButton4.setChecked(False) self.radioButton5.setChecked(False) self.radioButton6.setChecked(False) self.stickers_horizontal_slider.setValue(0) self.stickers_vertical_slider.setValue(0) self.text_cb.setChecked(False) self.textQLine.setText("") def openImageFile(self): image_file, _ = QFileDialog.getOpenFileName(self, "Abrir imagem", os.getenv('HOME'), "Images (*.png *.jpeg *.jpg *.bmp)") if image_file: self.resetWidgetValues() self.apply_process_button.setEnabled(True) self.reset_button.setEnabled(True) self.cv_image = cv2.imread(image_file) self.copy_cv_image = self.cv_image.copy() self.processed_cv_image = np.zeros(self.cv_image.shape, self.cv_image.dtype) self.convertCVToQImage(self.cv_image) else: QMessageBox.information(self, "Erro", "Nenhuma imagem foi carregada.", QMessageBox.Ok) def saveImageFile(self): image_file, _ = QFileDialog.getSaveFileName(self, "Salvar imagem", os.getenv('HOME'), "JPEG (*.jpeg);;JPG (*.jpg);;PNG (*.png);;Bitmap (*.bmp)") if image_file and self.image_label.pixmap() != None: cv2.imwrite(image_file, self.cv_image) else: QMessageBox.information(self, "Erro", "Não é possível salvar a imagem.", QMessageBox.Ok) def openVideoFile(self): self.input_video_file, _ = QFileDialog.getOpenFileName(self, "Abrir video", os.getenv('HOME'), "Video (*.mp4)") if self.input_video_file: self.resetWidgetValues() self.apply_process_button.setEnabled(True) self.reset_button.setEnabled(True) capture = cv2.VideoCapture(self.input_video_file) exist_frame, frame = capture.read() self.height, self.width = frame.shape[:2] if exist_frame: frame = cv2.cvtColor(frame, cv2.IMREAD_COLOR) self.cv_image = cv2.cvtColor(frame, cv2.IMREAD_COLOR) self.copy_cv_image = self.cv_image.copy() self.processed_cv_image = np.zeros(self.cv_image.shape, self.cv_image.dtype) self.convertCVToQImage(self.cv_image) else: QMessageBox.information(self, "Erro", "Nenhum video foi carregado.", QMessageBox.Ok) def saveVideoFile(self): self.output_video_file, _ = QFileDialog.getSaveFileName(self, "Salvar video", os.getenv('HOME'), "AVI (*.avi)") if self.output_video_file and self.image_label.pixmap() != None: capture = cv2.VideoCapture(self.input_video_file) fourcc = cv2.VideoWriter_fourcc(*'XVID') out = cv2.VideoWriter(self.output_video_file, fourcc, 24, (self.width, self.height)) while True: exist_frame, frame = capture.read() if not exist_frame: break self.cv_image = frame self.applyImageProcessing() frame = self.cv_image out.write(frame) capture.release() out.release() else: QMessageBox.information(self, "Erro", "Não é possível salvar o video.", QMessageBox.Ok) def convertCVToQImage(self, image): cv_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) height, width, channels = cv_image.shape bytes_per_line = width * channels converted_Qt_image = QImage(cv_image, width, height, bytes_per_line, QImage.Format_RGB888) self.image_label.setPixmap(QPixmap.fromImage(converted_Qt_image).scaled( self.image_label.width(), self.image_label.height(), Qt.KeepAspectRatio)) if __name__ == '__main__': app = QApplication(sys.argv) app.setStyleSheet(style_sheet) window = StoriesInstagram() sys.exit(app.exec_())"> 
import sys, os, cv2, imutils
import numpy as np
from PyQt5.QtWidgets import (QApplication, QMainWindow, QWidget, QLabel, QLineEdit,
                             QPushButton, QCheckBox, QSpinBox, QDoubleSpinBox, QSlider, QFrame, QFileDialog,
                             QMessageBox, QHBoxLayout, QVBoxLayout, QAction)
from PyQt5.QtGui import QPixmap, QImage
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtCore import Qt

style_sheet = """
QLabel#ImageLabel{
color: darkgrey;
border: 2px solid #000000;
qproperty-alignment: AlignCenter
}"""


class StoriesInstagram(QMainWindow):
    def __init__(self):
        super().__init__()
        self.initializeUI()


    def initializeUI(self):
        self.setMinimumSize(900, 600)
        self.setWindowTitle('Stories Instagram')
        self.contrast_adjusted = False
        self.brightness_adjusted = False
        self.image_smoothing_checked = False
        self.gray_checked = False
        self.edge_detection_checked = False
        self.points_checked = False
        self.kmeans_checked = False
        self.negative_checked = False
        self.stickers_checked = False
        self.text_checked = False
        self.setupWindow()
        self.setupMenu()
        self.show()


    def setupWindow(self):
        self.image_label = QLabel()
        self.image_label.setObjectName("ImageLabel")

        self.desktop = cv2.imread("assets/stories-do-instagram.png")
        self.convertCVToQImage(self.desktop)

        self.contrast_spinbox = QDoubleSpinBox()
        self.contrast_spinbox.setMinimumWidth(100)
        self.contrast_spinbox.setRange(0.0, 4.0)
        self.contrast_spinbox.setValue(1.0)
        self.contrast_spinbox.setSingleStep(.10)
        self.contrast_cb = QCheckBox("Contraste [Range: 0.0:4.0]")
        self.contrast_cb.stateChanged.connect(self.adjustContrast)

        self.brightness_spinbox = QSpinBox()
        self.brightness_spinbox.setMinimumWidth(100)
        self.brightness_spinbox.setRange(-127, 127)
        self.brightness_spinbox.setValue(0)
        self.brightness_spinbox.setSingleStep(1)
        self.brightness_cb = QCheckBox("Brilho [Range: -127:127]")
        self.brightness_cb.stateChanged.connect(self.adjustBrightness)

        self.smoothing_spinbox = QSpinBox()
        self.smoothing_spinbox.setMinimumWidth(100)
        self.smoothing_spinbox.setRange(3, 25)
        self.smoothing_spinbox.setValue(3)
        self.smoothing_spinbox.setSingleStep(2)
        self.filter_2D_cb = QCheckBox("Blur [Range: 3:25]")
        self.filter_2D_cb.stateChanged.connect(self.imageSmoothingFilter)

        self.gray_cb = QCheckBox("Tons de cinza")
        self.gray_cb.stateChanged.connect(self.makeGray)

        self.edges_slider = QSlider()
        self.edges_slider.setGeometry(QtCore.QRect(370, 340, 160, 19))
        self.edges_slider.setMinimumWidth(100)
        self.edges_slider.setRange(10, 300)
        self.edges_slider.setValue(10)
        self.edges_slider.setSingleStep(10)
        self.edges_slider.setOrientation(QtCore.Qt.Horizontal)
        self.canny_cb = QCheckBox("Detector de Bordas [Range: 10:300]")
        self.canny_cb.stateChanged.connect(self.edgeDetection)

        self.negative_cb = QCheckBox("Negativo")
        self.negative_cb.stateChanged.connect(self.makeNegative)

        self.points_cb = QCheckBox("Pontilhismo")
        self.points_cb.stateChanged.connect(self.makePoints)

        self.kmeans_spinbox = QSpinBox()
        self.kmeans_spinbox.setMinimumWidth(100)
        self.kmeans_spinbox.setRange(1, 32)
        self.kmeans_spinbox.setValue(8)
        self.kmeans_spinbox.setSingleStep(1)
        self.kmeans_cb = QCheckBox("K-means [Range: 1:32]")
        self.kmeans_cb.stateChanged.connect(self.kmeansFilter)

        self.stickers_cb = QCheckBox("Adicionar stickers")
        self.stickers_cb.stateChanged.connect(self.addStickers)

        self.radioButton = QtWidgets.QRadioButton()
        self.radioButton.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton.setText("Capitão américa")

        self.radioButton2 = QtWidgets.QRadioButton()
        self.radioButton2.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton2.setText("Cerveja")

        self.radioButton3 = QtWidgets.QRadioButton()
        self.radioButton3.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton3.setText("Ônibus")

        self.radioButton4 = QtWidgets.QRadioButton()
        self.radioButton4.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton4.setText("Las Vegas")

        self.radioButton5 = QtWidgets.QRadioButton()
        self.radioButton5.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton5.setText("Morte")

        self.radioButton6 = QtWidgets.QRadioButton()
        self.radioButton6.setGeometry(QtCore.QRect(380, 200, 95, 20))
        self.radioButton6.setText("Batman")

        self.stickers_horizontal_slider = QSlider()
        self.stickers_horizontal_slider.setGeometry(QtCore.QRect(370, 340, 160, 19))
        self.stickers_horizontal_slider.setMinimumWidth(100)
        self.stickers_horizontal_slider.setRange(0, 1200)
        self.stickers_horizontal_slider.setValue(0)
        self.stickers_horizontal_slider.setSingleStep(1)
        self.stickers_horizontal_slider.setOrientation(QtCore.Qt.Horizontal)

        self.stickers_vertical_slider = QSlider()
        self.stickers_vertical_slider.setGeometry(QtCore.QRect(370, 340, 19, 160))
        self.stickers_vertical_slider.setMinimumHeight(200)
        self.stickers_vertical_slider.setInvertedAppearance(True)
        self.stickers_vertical_slider.setRange(0, 920)
        self.stickers_vertical_slider.setValue(0)
        self.stickers_vertical_slider.setSingleStep(1)
        self.stickers_vertical_slider.setOrientation(QtCore.Qt.Vertical)

        self.stickersLabel = QLabel("Tamanho do sticker [Range: 1:5]")
        self.stickers_spinbox = QSpinBox()
        self.stickers_spinbox.setMinimumWidth(100)
        self.stickers_spinbox.setRange(1, 5)
        self.stickers_spinbox.setValue(5)
        self.stickers_spinbox.setSingleStep(1)

        self.text_cb = QCheckBox("Adicionar texto")
        self.text_cb.stateChanged.connect(self.addText)
        self.textQLine = QLineEdit("")
        self.textQLine.setMinimumWidth(100)
        self.textQLine.setMinimumHeight(50)

        self.apply_process_button = QPushButton("Aplicar filtros")
        self.apply_process_button.setEnabled(False)
        self.apply_process_button.clicked.connect(self.applyImageProcessing)

        self.reset_button = QPushButton("Voltar imagem original")
        self.reset_button.setEnabled(False)
        self.reset_button.clicked.connect(self.resetImageAndSettings)

        self.line1 = QtWidgets.QFrame()
        self.line1.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line1.setFrameShape(QtWidgets.QFrame.HLine)
        self.line1.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line1.setObjectName("line1")

        self.line2 = QtWidgets.QFrame()
        self.line2.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line2.setFrameShape(QtWidgets.QFrame.HLine)
        self.line2.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line2.setObjectName("line2")

        self.line3 = QtWidgets.QFrame()
        self.line3.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line3.setFrameShape(QtWidgets.QFrame.HLine)
        self.line3.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line3.setObjectName("line3")

        self.line4 = QtWidgets.QFrame()
        self.line4.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line4.setFrameShape(QtWidgets.QFrame.HLine)
        self.line4.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line4.setObjectName("line4")

        self.line5 = QtWidgets.QFrame()
        self.line5.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line5.setFrameShape(QtWidgets.QFrame.HLine)
        self.line5.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line5.setObjectName("line5")

        self.line6 = QtWidgets.QFrame()
        self.line6.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line6.setFrameShape(QtWidgets.QFrame.HLine)
        self.line6.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line6.setObjectName("line6")

        self.line7 = QtWidgets.QFrame()
        self.line7.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line7.setFrameShape(QtWidgets.QFrame.HLine)
        self.line7.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line7.setObjectName("line7")

        self.line8 = QtWidgets.QFrame()
        self.line8.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line8.setFrameShape(QtWidgets.QFrame.HLine)
        self.line8.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line8.setObjectName("line8")

        self.line9 = QtWidgets.QFrame()
        self.line9.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line9.setFrameShape(QtWidgets.QFrame.HLine)
        self.line9.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line9.setObjectName("line9")

        self.line10 = QtWidgets.QFrame()
        self.line10.setGeometry(QtCore.QRect(200, 420, 118, 3))
        self.line10.setFrameShape(QtWidgets.QFrame.HLine)
        self.line10.setFrameShadow(QtWidgets.QFrame.Sunken)
        self.line10.setObjectName("line10")

        side_panel_v_box = QVBoxLayout()
        side_panel_v_box.setAlignment(Qt.AlignTop)

        side_panel_v_box.addWidget(self.contrast_cb)
        side_panel_v_box.addWidget(self.contrast_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line1)

        side_panel_v_box.addWidget(self.brightness_cb)
        side_panel_v_box.addWidget(self.brightness_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line2)

        side_panel_v_box.addWidget(self.filter_2D_cb)
        side_panel_v_box.addWidget(self.smoothing_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line3)

        side_panel_v_box.addWidget(self.gray_cb)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line4)

        side_panel_v_box.addWidget(self.canny_cb)
        side_panel_v_box.addWidget(self.edges_slider)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line5)

        side_panel_v_box.addWidget(self.negative_cb)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line6)

        side_panel_v_box.addWidget(self.points_cb)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line7)

        side_panel_v_box.addWidget(self.kmeans_cb)
        side_panel_v_box.addWidget(self.kmeans_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line8)
        side_panel_v_box.addWidget(self.stickers_cb)

        side_panel_v_box.addWidget(self.radioButton)
        side_panel_v_box.addWidget(self.radioButton2)
        side_panel_v_box.addWidget(self.radioButton3)
        side_panel_v_box.addWidget(self.radioButton4)
        side_panel_v_box.addWidget(self.radioButton5)
        side_panel_v_box.addWidget(self.radioButton6)

        side_panel_v_box.addWidget(self.stickers_horizontal_slider)
        side_panel_v_box.addWidget(self.stickers_vertical_slider)
        side_panel_v_box.addWidget(self.stickersLabel)
        side_panel_v_box.addWidget(self.stickers_spinbox)

        side_panel_v_box.addSpacing(15)
        side_panel_v_box.addWidget(self.line9)
        side_panel_v_box.addWidget(self.text_cb)
        side_panel_v_box.addWidget(self.textQLine)

        side_panel_v_box.addSpacing(100)
        side_panel_v_box.addWidget(self.line10)
        side_panel_v_box.addWidget(self.apply_process_button)
        side_panel_v_box.addWidget(self.reset_button)

        side_panel_frame = QFrame()
        side_panel_frame.setMinimumWidth(250)
        side_panel_frame.setFrameStyle(QFrame.WinPanel)
        side_panel_frame.setLayout(side_panel_v_box)

        scrollArea = QtWidgets.QScrollArea()
        scrollArea.setMinimumWidth(300)
        scrollArea.setWidgetResizable(True)
        scrollArea.setWidget(side_panel_frame)

        main_h_box = QHBoxLayout()
        main_h_box.addWidget(self.image_label, 1)
        main_h_box.addWidget(scrollArea)

        container = QWidget()
        container.setLayout(main_h_box)
        self.setCentralWidget(container)


    def setupMenu(self):
        open_image_act = QAction('Abrir imagem', self)
        open_image_act.setShortcut('Ctrl+O')
        open_image_act.triggered.connect(self.openImageFile)
        save_image_act = QAction('Salvar imagem', self)
        save_image_act.setShortcut('Ctrl+S')
        save_image_act.triggered.connect(self.saveImageFile)

        open_video_act = QAction('Abrir video', self)
        open_video_act.setShortcut('Ctrl+O')
        open_video_act.triggered.connect(self.openVideoFile)
        save_video_act = QAction('Salvar video', self)
        save_video_act.setShortcut('Ctrl+S')
        save_video_act.triggered.connect(self.saveVideoFile)

        menu_bar = self.menuBar()
        menu_bar.setNativeMenuBar(False)

        file_menu = menu_bar.addMenu('File')
        file_menu.addAction(open_image_act)
        file_menu.addAction(save_image_act)
        file_menu.addAction(open_video_act)
        file_menu.addAction(save_video_act)


    def adjustContrast(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.contrast_adjusted = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.contrast_adjusted = False


    def adjustBrightness(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.brightness_adjusted = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.brightness_adjusted = False


    def imageSmoothingFilter(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.image_smoothing_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.image_smoothing_checked = False


    def makeGray(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.gray_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.gray_checked = False


    def edgeDetection(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.edge_detection_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.edge_detection_checked = False


    def makeNegative(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.negative_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.negative_checked = False


    def makePoints(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.points_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.points_checked = False


    def kmeansFilter(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.kmeans_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.kmeans_checked = False

    def addStickers(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.stickers_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.stickers_checked = False

    def addText(self, state):
        if state == Qt.Checked and self.image_label.pixmap() != None:
            self.text_checked = True
        elif state != Qt.Checked and self.image_label.pixmap() != None:
            self.text_checked = False

    def overlaySticker(self):
        self.stickers_horizontal_slider.setRange(0, self.cv_image.shape[1])
        self.stickers_vertical_slider.setRange(0, self.cv_image.shape[0])

        self.size = self.stickers_spinbox.value()
        self.axis_x = self.stickers_horizontal_slider.value()
        self.axis_y = self.stickers_vertical_slider.value()

        self.sticker = imutils.resize(self.sticker, width=(self.cv_image.shape[0] // self.size))
        while True:
            if self.sticker.shape[1] <= self.cv_image.shape[1]:
                if self.sticker.shape[0] <= self.cv_image.shape[0]:
                    break
                else:
                    self.sticker = imutils.resize(self.sticker, height=(self.cv_image.shape[0] // 2))
            else:
                self.sticker = imutils.resize(self.sticker, width=(self.cv_image.shape[1] // 2))

        (rows, cols) = self.sticker.shape[:2]
        if (self.axis_y + rows) > self.cv_image.shape[0]:
            self.axis_y = self.cv_image.shape[0] - rows

        if (self.axis_x + cols) > self.cv_image.shape[1]:
            self.axis_x = self.cv_image.shape[1] - cols

        roi = self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)]
        self.sticker_gray = cv2.cvtColor(self.sticker, cv2.COLOR_BGR2GRAY)
        ret, mask = cv2.threshold(self.sticker_gray, 10, 255, cv2.THRESH_BINARY)
        mask_inv = cv2.bitwise_not(mask)
        self.cv_image_bg = cv2.bitwise_and(roi, roi, mask=mask_inv)
        self.sticker_fg = cv2.bitwise_and(self.sticker, self.sticker, mask=mask)
        dst = cv2.add(self.cv_image_bg, self.sticker_fg)
        self.cv_image[self.axis_y:(self.axis_y + rows), self.axis_x:(self.axis_x + cols)] = dst


    def applyImageProcessing(self):
        if self.contrast_adjusted == True or self.brightness_adjusted == True:
            contrast = self.contrast_spinbox.value()
            brightness = self.brightness_spinbox.value()
            self.cv_image = cv2.convertScaleAbs(self.cv_image, self.processed_cv_image, contrast, brightness)

        if self.image_smoothing_checked == True:
            blur = self.smoothing_spinbox.value()
            self.cv_image = cv2.GaussianBlur(self.cv_image, (blur, blur), 0)

        if self.gray_checked == True:
            if len(self.cv_image.shape) == 3:
                self.cv_image = cv2.cvtColor(self.cv_image, cv2.COLOR_BGR2GRAY)
            else:
                pass

        if self.edge_detection_checked == True:
            slider = self.edges_slider.value()
            self.cv_image = cv2.Canny(self.cv_image, slider, 3 * slider)

        if self.negative_checked == True:
            self.cv_image = cv2.bitwise_not(self.cv_image)

        if self.points_checked == True:
            STEP = 5
            JITTER = 3
            RAIO = 3
            xrange = np.arange(0, self.cv_image.shape[0] - STEP, STEP) + STEP // 2
            yrange = np.arange(0, self.cv_image.shape[1] - STEP, STEP) + STEP // 2
            points = np.zeros(self.cv_image.shape, dtype=np.uint8)
            np.random.shuffle(xrange)
            for i in xrange:
                np.random.shuffle(yrange)
                for j in yrange:
                    x = i + np.random.randint((2 * JITTER) - JITTER + 1)
                    y = j + np.random.randint((2 * JITTER) - JITTER + 1)
                    color = self.cv_image[x, y]
                    cv2.circle(points, (y, x), RAIO, (int(color[0]), int(color[1]), int(color[2])), -1, cv2.LINE_AA)
            self.cv_image = points.copy()

        if self.kmeans_checked == True:
            NCLUSTERS = self.kmeans_spinbox.value()
            NROUNDS = 10
            samples = self.cv_image.reshape((-1, 3))
            samples = np.float32(samples)
            ret, labels, centers = cv2.kmeans(samples,
                                              NCLUSTERS,
                                              None,
                                              (cv2.TERM_CRITERIA_MAX_ITER | cv2.TERM_CRITERIA_EPS, 10, 1),
                                              NROUNDS,
                                              cv2.KMEANS_RANDOM_CENTERS)
            centers = np.uint8(centers)
            res = centers[labels.flatten()]
            self.cv_image = res.reshape((self.cv_image.shape))


        if self.stickers_checked == True:
            if self.radioButton.isChecked():
                self.sticker = cv2.imread("assets/capitao.png")
                self.overlaySticker()

            elif self.radioButton2.isChecked():
                self.sticker = cv2.imread("assets/cerveja.png")
                self.overlaySticker()

            elif self.radioButton3.isChecked():
                self.sticker = cv2.imread("assets/onibus.png")
                self.overlaySticker()

            elif self.radioButton4.isChecked():
                self.sticker = cv2.imread("assets/lasvegas.png")
                self.overlaySticker()

            elif self.radioButton5.isChecked():
                self.sticker = cv2.imread("assets/morte.png")
                self.overlaySticker()

            elif self.radioButton6.isChecked():
                self.sticker = cv2.imread("assets/batman.png")
                self.overlaySticker()

        if self.text_checked == True:
            text = self.textQLine.text()
            font = cv2.FONT_HERSHEY_SIMPLEX
            org = (400, 400)
            fontScale = 1
            color = (0, 0, 255)
            thickness = 2
            self.cv_image = cv2.putText(self.cv_image, text, org, font, fontScale, color, thickness, cv2.LINE_AA, False)

        self.convertCVToQImage(self.cv_image)
        self.image_label.repaint()


    def resetImageAndSettings(self):
        answer = QMessageBox.information(self, "Voltar imagem original",
                                         "Você tem certeza de que deseja voltar a imagem original?",
                                         QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
        if answer == QMessageBox.No:
            pass
        elif answer == QMessageBox.Yes and self.image_label.pixmap() != None:
            self.cv_image = self.copy_cv_image.copy()
            self.resetWidgetValues()
            self.convertCVToQImage(self.copy_cv_image)
            self.image_label.repaint()


    def resetWidgetValues(self):
        self.contrast_cb.setChecked(False)
        self.contrast_spinbox.setValue(1.0)
        self.brightness_cb.setChecked(False)
        self.brightness_spinbox.setValue(0)
        self.filter_2D_cb.setChecked(False)
        self.smoothing_spinbox.setValue(3)
        self.gray_cb.setChecked(False)
        self.canny_cb.setChecked(False)
        self.edges_slider.setValue(10)
        self.negative_cb.setChecked(False)
        self.points_cb.setChecked(False)
        self.kmeans_cb.setChecked(False)
        self.kmeans_spinbox.setValue(8)
        self.stickers_cb.setChecked(False)
        self.stickers_spinbox.setValue(5)
        self.radioButton.setChecked(False)
        self.radioButton2.setChecked(False)
        self.radioButton3.setChecked(False)
        self.radioButton4.setChecked(False)
        self.radioButton5.setChecked(False)
        self.radioButton6.setChecked(False)
        self.stickers_horizontal_slider.setValue(0)
        self.stickers_vertical_slider.setValue(0)
        self.text_cb.setChecked(False)
        self.textQLine.setText("")

    def openImageFile(self):
        image_file, _ = QFileDialog.getOpenFileName(self, "Abrir imagem",
                                                    os.getenv('HOME'), "Images (*.png *.jpeg *.jpg *.bmp)")
        if image_file:
            self.resetWidgetValues()
            self.apply_process_button.setEnabled(True)
            self.reset_button.setEnabled(True)
            self.cv_image = cv2.imread(image_file)
            self.copy_cv_image = self.cv_image.copy()
            self.processed_cv_image = np.zeros(self.cv_image.shape, self.cv_image.dtype)
            self.convertCVToQImage(self.cv_image)
        else:
            QMessageBox.information(self, "Erro", "Nenhuma imagem foi carregada.", QMessageBox.Ok)


    def saveImageFile(self):
        image_file, _ = QFileDialog.getSaveFileName(self, "Salvar imagem",
                                                    os.getenv('HOME'),
                                                    "JPEG (*.jpeg);;JPG (*.jpg);;PNG (*.png);;Bitmap (*.bmp)")
        if image_file and self.image_label.pixmap() != None:
            cv2.imwrite(image_file, self.cv_image)
        else:
            QMessageBox.information(self, "Erro",
                                    "Não é possível salvar a imagem.", QMessageBox.Ok)


    def openVideoFile(self):
        self.input_video_file, _ = QFileDialog.getOpenFileName(self, "Abrir video",
                                                    os.getenv('HOME'), "Video (*.mp4)")
        if self.input_video_file:
            self.resetWidgetValues()
            self.apply_process_button.setEnabled(True)
            self.reset_button.setEnabled(True)
            capture = cv2.VideoCapture(self.input_video_file)
            exist_frame, frame = capture.read()
            self.height, self.width = frame.shape[:2]
            if exist_frame:
                frame = cv2.cvtColor(frame, cv2.IMREAD_COLOR)
                self.cv_image = cv2.cvtColor(frame, cv2.IMREAD_COLOR)
                self.copy_cv_image = self.cv_image.copy()

                self.processed_cv_image = np.zeros(self.cv_image.shape, self.cv_image.dtype)
                self.convertCVToQImage(self.cv_image)
        else:
            QMessageBox.information(self, "Erro", "Nenhum video foi carregado.", QMessageBox.Ok)


    def saveVideoFile(self):
        self.output_video_file, _ = QFileDialog.getSaveFileName(self, "Salvar video",
                                                    os.getenv('HOME'),
                                                    "AVI (*.avi)")
        if self.output_video_file and self.image_label.pixmap() != None:
            capture = cv2.VideoCapture(self.input_video_file)
            fourcc = cv2.VideoWriter_fourcc(*'XVID')
            out = cv2.VideoWriter(self.output_video_file, fourcc, 24, (self.width, self.height))
            while True:
                exist_frame, frame = capture.read()
                if not exist_frame:
                    break

                self.cv_image = frame
                self.applyImageProcessing()

                frame = self.cv_image
                out.write(frame)

            capture.release()
            out.release()
        else:
            QMessageBox.information(self, "Erro",
                                    "Não é possível salvar o video.", QMessageBox.Ok)


    def convertCVToQImage(self, image):
        cv_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        height, width, channels = cv_image.shape
        bytes_per_line = width * channels
        converted_Qt_image = QImage(cv_image, width, height, bytes_per_line, QImage.Format_RGB888)
        self.image_label.setPixmap(QPixmap.fromImage(converted_Qt_image).scaled(
            self.image_label.width(), self.image_label.height(),
            Qt.KeepAspectRatio))


if __name__ == '__main__':
    app = QApplication(sys.argv)
    app.setStyleSheet(style_sheet)
    window = StoriesInstagram()
    sys.exit(app.exec_())
Owner
GitHub Repository
Pancakeswap-Sniper-TORNADO-CASH--MAC-WIN-ANDROID-LINUX--2022-V1 - Pancakeswap Sniper BOT - TORNADO CASH (MAC WINDOWS ANDROID LINUX) FAST snipe BUY token on LUANCH after add LIQUIDITY

TORNADO CASH Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX) ⭐️ AUTO

Crypto Trader 3 Jan 08, 2022
PRNT.sc Image Grabber

PRNTSender PRNT.sc Image Grabber PRNTSender is a script that takes images posted on PRNT.sc and sends them to a Discord webhook, if you want to know h

neox 2 Dec 10, 2021
Apex lets you build, deploy, and manage AWS Lambda functions with ease.

No longer maintained This software is no longer being maintainted and should not be chosen for new projects. See this issue for more information Apex

Apex 25 Dec 23, 2022
A python to scratch API connector. Can fetch data from the API and send it back in cloud variables.

Scratch2py Scratch2py or S2py is a easy to use, versatile tool to communicate with the Scratch API Based of scratchclient by Raihan142857 Installation

20 Jun 18, 2022
A python package for AxisVM

PyAxisVM The package is under development. Follow us on social media, where we'll announce the first release! Overview The PyAxisVM project offers a h

AxisVM - InterCAD 8 Nov 19, 2022
Often discord bots just die, and we hardly find one that is durable

Muitas vezes bots do discord simplesmente morrem, e dificilmente achamos um que seja durável. Então porque não ter um próprio para emergências? Como c

Guilherme Almeida 3 Dec 06, 2022
Grocy-create-product - A script supports the batch creation of new products in Grocy

grocy-create-product This script supports the batch creation of new products in

André Heuer 6 Jul 28, 2022
SaltConf21: Adding Workflow Approval to Salt

SaltConf21: Adding Workflow Approval to Salt Running To run the example, install Docker and docker-compose and run the following commands: docker-comp

SSYS Sistemas 4 Nov 24, 2021
Autofill HZDR Zeitman entries

Zeitman_autofill Filling out Zeitman is boring. This script might make some of the pain go away. Requirements The selenium package and Chrome webdrive

Tim Callow 8 Mar 14, 2022
It connects to Telegram's API. It generates JSON files containing channel's data, including channel's information and posts.

It connects to Telegram's API. It generates JSON files containing channel's data, including channel's information and posts. You can search for a specific channel, or a set of channels provided in a

Esteban Ponce de Leon 75 Jan 02, 2023
Updater for PGCG (Paradox Game Converters Group) converters written in Python.

Updater Updater for PGCG (Paradox Game Converters Group) converters written in Python. Needs to be put inside an "Updater" directory in the root conve

Paradox Game Converters 2 Jan 10, 2022
Petit webhook manager by moi (wassim)

Webhook Manager By wassim oubliez pas de ⭐ le projet Installations il te faut python sinon quand tu va lancer le start.bat sa va tout installer tout s

wassim 9 Jul 08, 2021
Cloud-native, data onboarding architecture for the Google Cloud Public Datasets program

Public Datasets Pipelines Cloud-native, data pipeline architecture for onboarding datasets to the Google Cloud Public Datasets Program. Overview Requi

Google Cloud Platform 109 Dec 30, 2022
Improved file host. Change of interface and storage: 15 GB available.

File hosting v2 Improved file host. Change of interface and storage: 15 GB available. This app now uses the Google API to store, view, and delete file

Sarusman 1 Jan 18, 2022
Python bot for send videos of a Youtube channel to a telegram group , channel or chat

py_youtube_to_telegram Usage: If you want to install ytt and use it, run this command: sudo sh -c "$(curl -fsSL https://raw.githubusercontent.com/nima

Nima Fanniasl 8 Nov 22, 2022
Open Source Discord bot with many cool features like Weather, Balance, Avatar, User, Server, RP-commands, Gif search, YouTube search, VK post search etc.

Сокобот Дискорд бот с открытым исходным кодом. Содержит в себе экономику, полезные команды (!аватар, !юзер, !сервер и тд.), рп-команды (!обнять, !глад

serverok 2 Jan 16, 2022
A repository of publicly verifiable token Sale contracts

Token-Sale-Plutus-Contract A repository of publicly verifiable token sale and royalty contracts. This will be the storage solution since it is easily

Logical Mechanism 29 Aug 18, 2022
A Code that can make your Discord Account 24/7 on Voice Channels!

Voicecord Make your Discord Account Online 24/7 on Voice Channels! A Code written in Python that helps you to keep your account 24/7 on Voice Channels

Phantom 229 Jan 07, 2023
GG Dorking is a tool to generate GitHub and Google dorking for pentesters and bug bounty hunters.

GG-Dorking GG Dorking is a python tool to generate GitHub and Google dorking links for pentesters and bug bounty hunters. It will help you to find imp

Eslam Akl 80 Nov 24, 2022
Twitter FakeNFT With Python

This project is a server that fetches your Twitter profile picture and applies the hexagonal transparency mask displayed on the profiles of users who have an NFT profile picture.

Mathis HAMMEL 29 Apr 23, 2022