def _create_row(self, index=None):
"""Create a new row.
Parameters
----------
index : :class:`int` or :obj:`None`
If :obj:`None` then append a row, else the index number (0 based) for
where to create and insert the row.
"""
cb = QtWidgets.QComboBox()
cb.addItems(self._actions)
sb = QtWidgets.QSpinBox()
sb.setRange(0, 999999)
msg = QtWidgets.QLineEdit()
reply = QtWidgets.QLineEdit()
reply.setReadOnly(True)
index = index if index is not None else self._table.rowCount()
self._table.insertRow(index)
self._table.setCellWidget(index, 0, cb)
self._table.setCellWidget(index, 1, sb)
self._table.setCellWidget(index, 2, msg)
self._table.setCellWidget(index, 3, reply)
cb.currentTextChanged.connect(
lambda text: self._update_row_appearance(text, index))
self._update_row_appearance(cb.currentText(), index)
def __init__(self, client, **kwargs):
super(Gui, self).__init__()
self.path = kwargs.pop('path', None)
self.client = client
self.original_image = None
self.delta = 0.01 # the amount to translate image on UP DOWN LEFT RIGHT key presses
self.client_queue = {} # a queue of requests to send to the RPi
zoom = kwargs.get('zoom')
if zoom:
self.zoom_history = [zoom] # (x, y, width, height) values between 0.0 and 1.0
else:
self.zoom_history = []
self.ocr_params = {
'zoom': zoom,
'rotate': kwargs.get('rotate'),
'threshold': kwargs.get('threshold'),
'dilate': kwargs.get('dilate'),
'erode': kwargs.get('erode'),
'blur': kwargs.get('blur'),
'algorithm': kwargs.get('algorithm', 'tesseract').lower(),
'lang': kwargs.get('lang', 'eng').lower(),
}
self.ocr_label = QtWidgets.QLabel()
self.ocr_label.setFont(QtGui.QFont('Helvetica', 14))
# the canvas widget to display the image
self.graphics_view = pg.GraphicsView(background=None)
self.view_box = pg.ViewBox(invertY=True, lockAspect=True, enableMouse=False, enableMenu=False)
self.graphics_view.setCentralItem(self.view_box)
self.canvas = pg.ImageItem(axisOrder='row-major')
self.view_box.setMouseMode(pg.ViewBox.RectMode)
self.view_box.addItem(self.canvas)
self.view_box.mouseDragEvent = self.select_zoom
graphing_layout = QtWidgets.QVBoxLayout()
graphing_layout.addWidget(self.ocr_label, alignment=QtCore.Qt.AlignCenter)
graphing_layout.addWidget(self.graphics_view)
# the container for all the image-processing widgets
self.image_processing_group = QtWidgets.QGroupBox('Image Processing')
# rotate
self.rotate_label = QtWidgets.QLabel('<html>Rotate [0°]</html>')
self.rotate_slider = QtWidgets.QSlider(orientation=QtCore.Qt.Horizontal)
self.rotate_slider.setToolTip('The angle to rotate the image')
self.rotate_slider.setMinimum(-180)
self.rotate_slider.setMaximum(180)
self.rotate_slider.setSingleStep(1)
self.rotate_slider.setPageStep(15)
self.rotate_slider.valueChanged.connect(self.update_rotate)
if self.ocr_params['rotate']:
self.rotate_slider.setValue(self.ocr_params['rotate'])
# Gaussian blur
self.blur_label = QtWidgets.QLabel('Gaussian Blur [0]')
self.blur_slider = QtWidgets.QSlider(orientation=QtCore.Qt.Horizontal)
self.blur_slider.setToolTip('The pixel radius to use for the Gaussian blur')
self.blur_slider.setMinimum(0)
self.blur_slider.setMaximum(kwargs.pop('max_blur', 9))
self.blur_slider.setSingleStep(1)
self.blur_slider.valueChanged.connect(self.update_blur)
if self.ocr_params['blur']:
self.blur_slider.setValue(self.ocr_params['blur'])
# threshold
self.threshold_label = QtWidgets.QLabel('Threshold [0]')
self.threshold_checkbox = QtWidgets.QCheckBox()
self.threshold_checkbox.setToolTip('Apply thresholding?')
self.threshold_checkbox.clicked.connect(self.update_threshold_checkbox)
self.threshold_slider = QtWidgets.QSlider(orientation=QtCore.Qt.Horizontal)
self.threshold_slider.setToolTip('The threshold value')
self.threshold_slider.setMinimum(0)
self.threshold_slider.setMaximum(255)
self.threshold_slider.setSingleStep(1)
self.threshold_slider.valueChanged.connect(self.update_threshold)
if self.ocr_params['threshold']:
self.threshold_slider.setValue(self.ocr_params['threshold'])
self.threshold_checkbox.setChecked(True)
else:
self.threshold_slider.setEnabled(False)
self.threshold_checkbox.setChecked(False)
# dilate
self.dilate_label = QtWidgets.QLabel('Dilate [0]')
self.dilate_slider = QtWidgets.QSlider(orientation=QtCore.Qt.Horizontal)
self.dilate_spinbox = QtWidgets.QSpinBox()
self.dilate_spinbox.setToolTip('The number of iterations to apply dilation at the specified radius')
self.dilate_spinbox.setMinimum(1)
self.dilate_spinbox.setMaximum(99)
self.dilate_spinbox.setSingleStep(1)
self.dilate_spinbox.valueChanged.connect(self.update_dilate_iter)
self.dilate_slider.setToolTip('The pixel radius to use for dilation')
self.dilate_slider.setMinimum(0)
self.dilate_slider.setMaximum(kwargs.pop('max_dilate', 9))
self.dilate_slider.setSingleStep(1)
self.dilate_slider.valueChanged.connect(self.update_dilate)
if self.ocr_params['dilate']:
self.dilate_slider.setValue(self.ocr_params['dilate'])
# erode
self.erode_label = QtWidgets.QLabel('Erode [0]')
self.erode_slider = QtWidgets.QSlider(orientation=QtCore.Qt.Horizontal)
self.erode_spinbox = QtWidgets.QSpinBox()
self.erode_spinbox.setToolTip('The number of iterations to apply erosion at the specified radius')
self.erode_spinbox.setMinimum(1)
self.erode_spinbox.setMaximum(99)
self.erode_spinbox.setSingleStep(1)
self.erode_spinbox.valueChanged.connect(self.update_erode_iter)
self.erode_slider.setToolTip('The pixel radius to use for erosion')
self.erode_slider.setMinimum(0)
self.erode_slider.setMaximum(kwargs.pop('max_erode', 9))
self.erode_slider.setSingleStep(1)
self.erode_slider.valueChanged.connect(self.update_erode)
if self.ocr_params['erode']:
self.erode_slider.setValue(self.ocr_params['erode'])
# image-processing layout
ip_layout = QtWidgets.QGridLayout()
ip_layout.addWidget(self.rotate_label, 0, 0)
ip_layout.addWidget(self.rotate_slider, 0, 1)
ip_layout.addWidget(self.blur_label, 1, 0)
ip_layout.addWidget(self.blur_slider, 1, 1)
ip_layout.addWidget(self.threshold_label, 2, 0)
ip_layout.addWidget(self.threshold_slider, 2, 1)
ip_layout.addWidget(self.threshold_checkbox, 2, 2)
ip_layout.addWidget(self.dilate_label, 3, 0)
ip_layout.addWidget(self.dilate_slider, 3, 1)
ip_layout.addWidget(self.dilate_spinbox, 3, 2)
ip_layout.addWidget(self.erode_label, 4, 0)
ip_layout.addWidget(self.erode_slider, 4, 1)
ip_layout.addWidget(self.erode_spinbox, 4, 2)
self.image_processing_group.setLayout(ip_layout)
# the container for all the camera widgets
self.camera_config_group = QtWidgets.QGroupBox('Camera Settings')
# ISO
self.iso_combobox = QtWidgets.QComboBox()
self.iso_combobox.setToolTip('The ISO setting of the camera')
self.iso_combobox.addItems(['auto', '100', '200', '320', '400', '500', '640', '800'])
iso = str(kwargs.pop('iso', 'auto'))
if iso == '0':
iso = 'auto'
self.iso_combobox.setCurrentText(iso)
self.update_iso(self.iso_combobox.currentText())
self.iso_combobox.currentTextChanged.connect(self.update_iso)
self.iso_combobox.setEnabled(not self.path)
# resolution
self.resolution_combobox = QtWidgets.QComboBox()
self.resolution_combobox.setToolTip('The resolution of the camera')
self.resolution_combobox.addItems(['VGA', 'SVGA', 'XGA', '720p', 'SXGA', 'UXGA', '1080p', 'MAX'])
self.resolution_combobox.setCurrentText(str(kwargs.pop('resolution', 'VGA')))
self.update_resolution(self.resolution_combobox.currentText())
self.resolution_combobox.currentTextChanged.connect(self.update_resolution)
self.resolution_combobox.setEnabled(not self.path)
# exposure mode
self.exposure_mode_combobox = QtWidgets.QComboBox()
self.exposure_mode_combobox.setToolTip('The exposure mode of the camera')
self.exposure_mode_combobox.addItems(['off', 'auto', 'night', 'nightpreview',
'backlight', 'spotlight', 'sports', 'snow',
'beach', 'verylong', 'fixedfps', 'antishake', 'fireworks'])
self.exposure_mode_combobox.setCurrentText(str(kwargs.pop('exposure_mode', 'auto')))
self.update_exposure_mode(self.exposure_mode_combobox.currentText())
self.exposure_mode_combobox.currentTextChanged.connect(self.update_exposure_mode)
self.exposure_mode_combobox.setEnabled(not self.path)
camera_layout = QtWidgets.QGridLayout()
camera_layout.addWidget(QtWidgets.QLabel('ISO'), 0, 0)
camera_layout.addWidget(self.iso_combobox, 0, 1)
camera_layout.addItem(QtWidgets.QSpacerItem(1, 1, QtWidgets.QSizePolicy.MinimumExpanding), 0, 2)
camera_layout.addWidget(QtWidgets.QLabel('Resolution'), 1, 0)
camera_layout.addWidget(self.resolution_combobox, 1, 1)
camera_layout.addWidget(QtWidgets.QLabel('Exposure Mode'), 2, 0)
camera_layout.addWidget(self.exposure_mode_combobox, 2, 1)
self.camera_config_group.setLayout(camera_layout)
if self.client is None:
self.iso_combobox.setEnabled(False)
self.resolution_combobox.setEnabled(False)
self.exposure_mode_combobox.setEnabled(False)
# the container for all the OCR algorithm widgets
self.ocr_config_group = QtWidgets.QGroupBox('OCR Algorithm Settings')
# tesseract languages
self.tess_lang_combobox = QtWidgets.QComboBox()
self.tess_lang_combobox.addItems(['eng', 'letsgodigital'])
self.tess_lang_combobox.currentTextChanged.connect(self.update_tess_lang)
self.tess_lang_combobox.setToolTip('The language to use for Tesseract')
# tesseract or ssocr
self.tess_radio = QtWidgets.QRadioButton('Tesseract')
self.tess_radio.setToolTip('Use Tesseract')
self.tess_radio.toggled.connect(self.update_algorithm)
self.ssocr_radio = QtWidgets.QRadioButton('SSOCR')
self.ssocr_radio.setToolTip('Use SSOCR')
self.ssocr_radio.toggled.connect(self.update_algorithm)
if self.ocr_params['algorithm'] == 'ssocr':
self.ssocr_radio.setChecked(True)
else:
self.tess_radio.setChecked(True)
algo_layout = QtWidgets.QGridLayout()
algo_layout.addWidget(self.tess_radio, 0, 0)
algo_layout.addWidget(self.tess_lang_combobox, 0, 1)
algo_layout.addItem(QtWidgets.QSpacerItem(1, 1, QtWidgets.QSizePolicy.MinimumExpanding), 0, 2)
algo_layout.addWidget(self.ssocr_radio, 1, 0)
self.ocr_config_group.setLayout(algo_layout)
options_layout = QtWidgets.QVBoxLayout()
options_layout.addWidget(self.image_processing_group)
options_layout.addWidget(self.camera_config_group)
options_layout.addWidget(self.ocr_config_group)
options_layout.addStretch(1)
layout = QtWidgets.QHBoxLayout()
layout.addLayout(graphing_layout)
layout.addLayout(options_layout)
self.setLayout(layout)
if self.path:
self.setAcceptDrops(True)
self.capture_thread = None
self.original_image = utils.to_cv2(self.path)
height, width = self.original_image.shape[:2]
try: # could pass in an already-opened image object (which isn't a path)
basename = os.path.basename(self.path)
except OSError:
basename = 'UNKNOWN'
self.setWindowTitle('OCR || {} [{} x {}]'.format(basename, width, height))
else:
self.setAcceptDrops(False)
self.original_image = None
self.capture_index = 0
self.setWindowTitle('OCR || Capture 0')
self.capture_thread = Capture()
self.capture_thread.add_callback(self.capture)
self.capture_thread.start(self.client)
self.apply_ocr()
