Metrics
0
Watch 173 Star 574 Fork 143

GVP北京智云视图科技有限公司 / HyperLPRC++Apache-2.0

Sign up for free
Explore and code with more than 2 million developers,Free private repositories !:)
Sign up
HyperLRP是一个开源的、基于深度学习高性能中文车牌识别库,由北京智云视图科技有限公司开发,支持PHP、C/C++、Python语言,Windows/Mac/Linux/Android/IOS 平台。 spread retract

http://www.zeusee.com

  • C++ 69.5%
  • Java 19.7%
  • C 4.3%
  • CMake 2.3%
  • Python 2.2%
  • Other 2.0%
Clone or download
HyperLprGUI.py 29.05 KB
Copy Edit Web IDE Raw Blame History
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794
"""
Author: youngorsu
Email : zhiyongsu@qq.com
Last edited: 2018.1.29
"""
# coding=utf-8
import sys
import os
from PyQt5.QtWidgets import (
QMainWindow,
QLabel,
QLineEdit,
QPushButton,
QHBoxLayout,
QVBoxLayout,
QGridLayout,
QTableWidget,
QWidget,
QAbstractItemView,
QHeaderView,
QGraphicsView,
QGraphicsScene,
QGraphicsPixmapItem,
QSplitter,
QFileDialog,
QTableWidgetItem,
QGraphicsRectItem,
QCheckBox,
QMessageBox,
QGroupBox,
QGraphicsSimpleTextItem,
qApp,
QAction,
QApplication)
from PyQt5.QtGui import QIcon, QColor, QPainter, QImage, QPixmap, QPen, QBrush, QFont, QPalette, QKeySequence
from PyQt5.QtCore import Qt, QDir, QSize, QEventLoop, QThread, pyqtSignal
from hyperlpr_py3 import pipline as pp
import cv2
import numpy as np
import time
import shutil
draw_plate_in_image_enable = 1
plateTypeName = ["蓝", "黄", "绿", "白", "黑 "]
def SimpleRecognizePlateWithGui(image):
t0 = time.time()
images = pp.detect.detectPlateRough(
image, image.shape[0], top_bottom_padding_rate=0.1)
res_set = []
y_offset = 32
for j, plate in enumerate(images):
plate, rect, origin_plate = plate
plate = cv2.resize(plate, (136, 36 * 2))
t1 = time.time()
plate_type = pp.td.SimplePredict(plate)
plate_color = plateTypeName[plate_type]
if (plate_type > 0) and (plate_type < 5):
plate = cv2.bitwise_not(plate)
if draw_plate_in_image_enable == 1:
image[y_offset:y_offset + plate.shape[0], 0:plate.shape[1]] = plate
y_offset = y_offset + plate.shape[0] + 4
image_rgb = pp.fm.findContoursAndDrawBoundingBox(plate)
if draw_plate_in_image_enable == 1:
image[y_offset:y_offset + image_rgb.shape[0],
0:image_rgb.shape[1]] = image_rgb
y_offset = y_offset + image_rgb.shape[0] + 4
image_rgb = pp.fv.finemappingVertical(image_rgb)
if draw_plate_in_image_enable == 1:
image[y_offset:y_offset + image_rgb.shape[0],
0:image_rgb.shape[1]] = image_rgb
y_offset = y_offset + image_rgb.shape[0] + 4
pp.cache.verticalMappingToFolder(image_rgb)
if draw_plate_in_image_enable == 1:
image[y_offset:y_offset + image_rgb.shape[0],
0:image_rgb.shape[1]] = image_rgb
y_offset = y_offset + image_rgb.shape[0] + 4
e2e_plate, e2e_confidence = pp.e2e.recognizeOne(image_rgb)
print("e2e:", e2e_plate, e2e_confidence)
image_gray = cv2.cvtColor(image_rgb, cv2.COLOR_RGB2GRAY)
#print("校正", time.time() - t1, "s")
t2 = time.time()
val = pp.segmentation.slidingWindowsEval(image_gray)
# print val
#print("分割和识别", time.time() - t2, "s")
res=""
confidence = 0
if len(val) == 3:
blocks, res, confidence = val
if confidence / 7 > 0.7:
if draw_plate_in_image_enable == 1:
image = pp.drawRectBox(image, rect, res)
for i, block in enumerate(blocks):
block_ = cv2.resize(block, (24, 24))
block_ = cv2.cvtColor(block_, cv2.COLOR_GRAY2BGR)
image[j * 24:(j * 24) + 24, i *
24:(i * 24) + 24] = block_
if image[j * 24:(j * 24) + 24,
i * 24:(i * 24) + 24].shape == block_.shape:
pass
res_set.append([res,
confidence / 7,
rect,
plate_color,
e2e_plate,
e2e_confidence,
len(blocks)])
print("seg:",res,confidence/7)
#print(time.time() - t0, "s")
print("---------------------------------")
return image, res_set
class LicenseRecognizationThread(QThread):
recognization_done_signal = pyqtSignal(list)
def __init__(self, parent=None):
super().__init__(parent)
self.hyperlpr_dir_path = ""
self.filenames = []
def set_parameter(self, filename_list, path):
self.hyperlpr_dir_path = path
self.filenames = filename_list
def run(self):
while True:
time.sleep(1)
if len(self.hyperlpr_dir_path) > 0:
for i in range(0, len(self.filenames)):
path = os.path.join(
self.hyperlpr_dir_path, self.filenames[i])
image = cv2.imdecode(np.fromfile(path, dtype=np.uint8), -1)
image, res_set = SimpleRecognizePlateWithGui(image)
self.recognization_done_signal.emit([i, res_set])
self.hyperlpr_dir_path = ""
class HyperLprImageView(QGraphicsView):
def __init__(self):
super().__init__()
self.init_ui()
def init_ui(self):
scene = QGraphicsScene()
scene.setBackgroundBrush(QColor(100, 100, 100))
scene.setItemIndexMethod(QGraphicsScene.BspTreeIndex)
scene.setSceneRect(scene.itemsBoundingRect())
self.setDragMode(QGraphicsView.RubberBandDrag)
self.setViewportUpdateMode(QGraphicsView.FullViewportUpdate)
self.setRenderHints(QPainter.Antialiasing | QPainter.TextAntialiasing)
self.frame_item = QGraphicsPixmapItem()
self.text_item_offset = 0
self.rect_item_array = []
self.text_item_array = []
for i in range(0, 5):
rect_item = QGraphicsRectItem()
rect_item.setVisible(False)
rect_item.setZValue(20.0)
rect_item.setPen(QPen(Qt.red, 5))
rect_item.setRect(20, 20, 20, 20)
scene.addItem(rect_item)
self.rect_item_array.append(rect_item)
text_item = QGraphicsSimpleTextItem("")
text_item.setBrush(QBrush(Qt.red))
text_item.setZValue(20.0)
text_item.setPos(10, 50)
text_item.setFont(QFont("黑体", 24))
text_item.setVisible(False)
scene.addItem(text_item)
self.text_item_array.append(text_item)
scene.addItem(self.frame_item)
self.curr_factor = 1.0
self.setScene(scene)
def resetRectText(self, res_set):
max_no = len(res_set)
if max_no > 5:
max_no = 5
for i in range(0, 5):
if i < max_no:
curr_rect = res_set[i][2]
self.rect_item_array[i].setRect(int(curr_rect[0]), int(
curr_rect[1]), int(curr_rect[2]), int(curr_rect[3]))
self.rect_item_array[i].setVisible(True)
self.text_item_array[i].setText(
res_set[i][4] + " " + res_set[i][3])
self.text_item_array[i].setPos(
int(curr_rect[0]), int(curr_rect[1]) - 48)
self.text_item_array[i].setVisible(True)
else:
self.text_item_array[i].setVisible(False)
self.rect_item_array[i].setVisible(False)
def wheelEvent(self, event):
factor = event.angleDelta().y() / 120.0
if event.angleDelta().y() / 120.0 > 0:
factor = 1.08
else:
factor = 0.92
if self.curr_factor > 0.1 and self.curr_factor < 10:
self.curr_factor = self.curr_factor * factor
self.scale(factor, factor)
def resetPixmap(self, image):
self.frame_item.setPixmap(QPixmap.fromImage(image))
class HyperLprWindow(QMainWindow):
start_init_signal = pyqtSignal()
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.statusBar().showMessage('Ready')
self.left_action = QAction('上一个', self)
self.left_action.setShortcut(QKeySequence.MoveToPreviousChar)
self.left_action.triggered.connect(self.analyze_last_one_image)
self.right_action = QAction('下一个', self)
self.right_action.setShortcut(QKeySequence.MoveToNextChar)
self.right_action.triggered.connect(self.analyze_next_one_image)
self.rename_image_action = QAction('保存e2e文件名', self)
self.rename_image_action.setShortcut(QKeySequence.MoveToPreviousLine)
self.rename_image_action.triggered.connect(self.rename_current_image_with_info)
self.statusBar()
menubar = self.menuBar()
fileMenu = menubar.addMenu('&Function')
fileMenu.addAction(self.left_action)
fileMenu.addAction(self.right_action)
fileMenu.addAction(self.rename_image_action)
self.image_window_view = HyperLprImageView()
table_widget_header_labels = [
"文件名",
"分割识别",
"置信度",
"颜色",
"E2E识别",
"E2E置信度"]
self.hyperlpr_tableview = QTableWidget(
0, len(table_widget_header_labels))
self.hyperlpr_tableview.setHorizontalHeaderLabels(
table_widget_header_labels)
self.hyperlpr_tableview.setSelectionBehavior(
QAbstractItemView.SelectItems)
self.hyperlpr_tableview.setSelectionMode(
QAbstractItemView.SingleSelection)
self.hyperlpr_tableview.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.hyperlpr_tableview.horizontalHeader().setSectionResizeMode(
QHeaderView.ResizeToContents)
self.hyperlpr_tableview.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.hyperlpr_tableview.cellClicked.connect(
self.recognize_one_license_plate)
self.left_button = QPushButton("<")
self.left_button.setFixedWidth(60)
self.right_button = QPushButton(">")
self.right_button.setFixedWidth(60)
self.left_button.setEnabled(False)
self.right_button.setEnabled(False)
self.left_button.clicked.connect(self.analyze_last_one_image)
self.right_button.clicked.connect(self.analyze_next_one_image)
left_right_layout = QHBoxLayout()
left_right_layout.addStretch()
left_right_layout.addWidget(self.left_button)
left_right_layout.addStretch()
left_right_layout.addWidget(self.right_button)
left_right_layout.addStretch()
self.location_label = QLabel("车牌目录", self)
self.location_text = QLineEdit(self)
self.location_text.setEnabled(False)
#self.location_text.setFixedWidth(300)
self.location_button = QPushButton("...")
self.location_button.clicked.connect(self.select_new_dir)
self.location_layout = QHBoxLayout()
self.location_layout.addWidget(self.location_label)
self.location_layout.addWidget(self.location_text)
self.location_layout.addWidget(self.location_button)
self.location_layout.addStretch()
self.check_box = QCheckBox("与文件名比较车牌")
self.check_box.setChecked(True)
self.update_file_path_button = QPushButton('批量识别')
self.update_file_path_button.clicked.connect(
self.batch_recognize_all_images)
self.update_file_path_layout = QHBoxLayout()
self.update_file_path_layout.addWidget(self.check_box)
self.update_file_path_layout.addWidget(self.update_file_path_button)
self.update_file_path_layout.addStretch()
self.save_as_e2e_filename_button = QPushButton("保存e2e文件名")
self.save_as_e2e_filename_button.setEnabled(False)
self.save_as_e2e_filename_button.clicked.connect(self.rename_current_image_with_info)
self.save_layout = QHBoxLayout()
self.save_layout.addWidget(self.save_as_e2e_filename_button)
self.save_layout.addStretch()
self.top_layout = QVBoxLayout()
self.top_layout.addLayout(left_right_layout)
self.top_layout.addLayout(self.location_layout)
self.top_layout.addLayout(self.update_file_path_layout)
self.top_layout.addLayout(self.save_layout)
function_groupbox = QGroupBox("功能区")
function_groupbox.setLayout(self.top_layout)
license_plate_image_label = QLabel("车牌图")
self.license_plate_widget = QLabel("")
block_image_label = QLabel("分割图")
self.block_plate_widget = QLabel("")
filename_label = QLabel("文件名:")
self.filename_edit = QLineEdit()
segmentation_recognition_label = QLabel("分割识别:")
self.segmentation_recognition_edit = QLineEdit()
self.segmentation_recognition_edit.setFont(QFont("黑体", 24, QFont.Bold))
# self.segmentation_recognition_edit.setStyleSheet("color:red")
confidence_label = QLabel("分割识别\n置信度")
self.confidence_edit = QLineEdit()
#self.confidence_edit.setFont(QFont("黑体", 24, QFont.Bold))
# self.confidence_edit.setStyleSheet("color:red")
plate_color_label = QLabel("车牌颜色")
self.plate_color_edit = QLineEdit()
self.plate_color_edit.setFont(QFont("黑体", 24, QFont.Bold))
# self.plate_color_edit.setStyleSheet("color:red")
e2e_recognization_label = QLabel("e2e识别:")
self.e2e_recognization_edit = QLineEdit()
self.e2e_recognization_edit.setFont(QFont("黑体", 24, QFont.Bold))
# self.e2e_recognization_edit.setStyleSheet("color:red")
e2e_confidence_label = QLabel("e2e置信度")
self.e2e_confidence_edit = QLineEdit()
#self.e2e_confidence_edit.setFont(QFont("黑体", 24, QFont.Bold))
# self.e2e_confidence_edit.setStyleSheet("color:red")
info_gridlayout = QGridLayout()
line_index = 0
info_gridlayout.addWidget(filename_label, line_index, 0)
info_gridlayout.addWidget(self.filename_edit, line_index, 1)
line_index += 1
info_gridlayout.addWidget(license_plate_image_label, line_index, 0)
info_gridlayout.addWidget(self.license_plate_widget, line_index, 1)
line_index += 1
info_gridlayout.addWidget(e2e_recognization_label, line_index, 0)
info_gridlayout.addWidget(self.e2e_recognization_edit, line_index, 1)
line_index += 1
info_gridlayout.addWidget(
segmentation_recognition_label, line_index, 0)
info_gridlayout.addWidget(
self.segmentation_recognition_edit, line_index, 1)
line_index += 1
info_gridlayout.addWidget(plate_color_label, line_index, 0)
info_gridlayout.addWidget(self.plate_color_edit, line_index, 1)
line_index += 1
info_gridlayout.addWidget(block_image_label, line_index, 0)
info_gridlayout.addWidget(self.block_plate_widget, line_index, 1)
line_index += 1
info_gridlayout.addWidget(confidence_label, line_index, 0)
info_gridlayout.addWidget(self.confidence_edit, line_index, 1)
line_index += 1
info_gridlayout.addWidget(e2e_confidence_label, line_index, 0)
info_gridlayout.addWidget(self.e2e_confidence_edit, line_index, 1)
info_widget = QGroupBox("分割识别&e2e")
info_widget.setLayout(info_gridlayout)
right_splitter = QSplitter(Qt.Vertical)
right_splitter.addWidget(self.hyperlpr_tableview)
right_splitter.addWidget(function_groupbox)
right_splitter.addWidget(info_widget)
right_splitter.setStretchFactor(0, 2)
right_splitter.setStretchFactor(2, 1)
main_splitter = QSplitter(Qt.Horizontal)
main_splitter.addWidget(self.image_window_view)
main_splitter.addWidget(right_splitter)
main_splitter.setStretchFactor(0, 1)
self.image_filename_list = []
self.hyperlpr_dir_path = ""
self.segmentation_recognition_correct_number = 0
self.color_correct_number = 0
self.e2e_recognization_correct_number = 0
self.current_row = 0
self.batch_recognization_thread = LicenseRecognizationThread()
self.batch_recognization_thread.recognization_done_signal.connect(
self.recognization_done_slot)
self.batch_recognization_thread.start()
self.start_init_signal.connect(self.read_path_and_show_one_image)
self.setCentralWidget(main_splitter)
self.setWindowTitle("HyperLPR车牌识别软件v1.0")
self.start_init_signal.emit()
def read_path_and_show_one_image(self):
hyperlpr_dir_info_filepath = QDir.homePath() + "/hyperlpr_dir_file"
if os.path.exists(hyperlpr_dir_info_filepath):
with open(hyperlpr_dir_info_filepath, 'r') as f:
self.hyperlpr_dir_path = f.read()
if len(self.hyperlpr_dir_path) > 0:
self.reset_info_gui()
if len(self.image_filename_list) > 0:
self.recognize_and_show_one_image(self.image_filename_list[0], 0)
def select_new_dir(self):
self.hyperlpr_dir_path = QFileDialog.getExistingDirectory(
self, "读取文件夹", QDir.currentPath())
if len(self.hyperlpr_dir_path) > 0:
hyperlpr_dir_info_filepath = QDir.homePath() + "/hyperlpr_dir_file"
with open(hyperlpr_dir_info_filepath, 'w') as f:
f.write(self.hyperlpr_dir_path)
self.reset_info_gui()
def rename_current_image_with_info(self):
if len(self.hyperlpr_dir_path) > 0:
target_dir_path = self.hyperlpr_dir_path + "/result"
if not os.path.exists(target_dir_path):
os.makedirs(target_dir_path)
if len(self.plate_color_edit.text())>0 and len(self.e2e_recognization_edit.text())>0:
orign_path = os.path.join(self.hyperlpr_dir_path, self.filename_edit.text())
target_path = os.path.join(target_dir_path,self.plate_color_edit.text()+"-"+self.e2e_recognization_edit.text()+".jpg")
shutil.copyfile(orign_path, target_path)
def reset_info_gui(self):
self.location_text.setText(self.hyperlpr_dir_path)
self.scan_files_with_new_dir(self.hyperlpr_dir_path)
self.fill_table_with_new_info()
def scan_files_with_new_dir(self, path):
name_list = os.listdir(path) # 列出文件夹下所有的目录与文件
self.image_filename_list.clear()
for i in range(0, len(name_list)):
if name_list[i].endswith(
".jpg") or name_list[i].endswith(".png"):
self.image_filename_list.append(name_list[i])
def fill_table_with_new_info(self):
self.hyperlpr_tableview.clearContents()
row_count = self.hyperlpr_tableview.rowCount()
for i in range(row_count, -1, -1):
self.hyperlpr_tableview.removeRow(i)
for i in range(0, len(self.image_filename_list)):
row = self.hyperlpr_tableview.rowCount()
self.hyperlpr_tableview.insertRow(row)
item0 = QTableWidgetItem()
item0.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(row, 0, item0)
self.hyperlpr_tableview.item(
row, 0).setText(
self.image_filename_list[i])
item1 = QTableWidgetItem()
item1.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(row, 1, item1)
item2 = QTableWidgetItem()
item2.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(row, 2, item2)
item3 = QTableWidgetItem()
item3.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(row, 3, item3)
item4 = QTableWidgetItem()
item4.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(row, 4, item4)
item5 = QTableWidgetItem()
item5.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(row, 5, item5)
if len(self.image_filename_list) > 0:
self.left_button.setEnabled(True)
self.right_button.setEnabled(True)
self.save_as_e2e_filename_button.setEnabled(True)
def analyze_last_one_image(self):
if self.current_row > 0:
self.recognize_one_license_plate(self.current_row-1, 0)
def analyze_next_one_image(self):
if self.current_row < (len(self.image_filename_list)-1):
self.recognize_one_license_plate(self.current_row + 1, 0)
def recognize_one_license_plate(self, row, col):
if col == 0 and row < len(self.image_filename_list):
self.current_row = row
self.recognize_and_show_one_image(
self.image_filename_list[row], row)
def recognize_and_show_one_image(self, image_filename_text, row):
if image_filename_text.endswith(".jpg"):
print(image_filename_text)
path = os.path.join(self.hyperlpr_dir_path, image_filename_text)
image = cv2.imdecode(np.fromfile(path, dtype=np.uint8), -1)
image, res_set = SimpleRecognizePlateWithGui(image)
img = QImage(
image.data,
image.shape[1],
image.shape[0],
image.shape[1] * image.shape[2],
QImage.Format_RGB888)
self.image_window_view.resetPixmap(img.rgbSwapped())
self.image_window_view.resetRectText(res_set)
if len(res_set) > 0:
curr_rect = res_set[0][2]
image_crop = image[int(curr_rect[1]):int(
curr_rect[1] + curr_rect[3]), int(curr_rect[0]):int(curr_rect[0] + curr_rect[2])]
curr_plate = cv2.resize(image_crop, (204, 108))
plate_img = QImage(
curr_plate.data,
curr_plate.shape[1],
curr_plate.shape[0],
curr_plate.shape[1] *
curr_plate.shape[2],
QImage.Format_RGB888)
self.license_plate_widget.setPixmap(
QPixmap.fromImage(plate_img.rgbSwapped()))
# print(res_set[0][6])
block_crop = image[0:24, 0:(24 * int(res_set[0][6]))]
curr_block = cv2.resize(
block_crop, (24 * int(res_set[0][6]), 24))
block_image = QImage(
curr_block.data,
curr_block.shape[1],
curr_block.shape[0],
curr_block.shape[1] *
curr_block.shape[2],
QImage.Format_RGB888)
self.block_plate_widget.setPixmap(
QPixmap.fromImage(block_image.rgbSwapped()))
self.segmentation_recognition_edit.setText(res_set[0][0])
if res_set[0][0] in image_filename_text:
self.segmentation_recognition_edit.setStyleSheet("color:black")
else:
self.segmentation_recognition_edit.setStyleSheet("color:red")
self.filename_edit.setText(image_filename_text)
self.confidence_edit.setText("%.3f" % (float(res_set[0][1])))
self.plate_color_edit.setText(res_set[0][3])
if res_set[0][3] in image_filename_text:
self.plate_color_edit.setStyleSheet("color:black")
else:
self.plate_color_edit.setStyleSheet("color:red")
self.e2e_recognization_edit.setText(res_set[0][4])
if res_set[0][4] in image_filename_text:
self.e2e_recognization_edit.setStyleSheet("color:black")
else:
self.e2e_recognization_edit.setStyleSheet("color:red")
self.e2e_confidence_edit.setText(
"%.3f" % (float(res_set[0][5])))
else:
self.license_plate_widget.clear()
self.block_plate_widget.clear()
self.segmentation_recognition_edit.setText("")
self.filename_edit.setText(image_filename_text)
self.confidence_edit.setText("")
self.plate_color_edit.setText("")
self.e2e_recognization_edit.setText("")
self.e2e_confidence_edit.setText("")
self.fill_table_widget_with_res_info(res_set, row)
def batch_recognize_all_images(self):
self.segmentation_recognition_correct_number = 0
self.color_correct_number = 0
self.e2e_recognization_correct_number = 0
self.batch_recognization_thread.set_parameter(
self.image_filename_list, self.hyperlpr_dir_path)
def recognization_done_slot(self, result_list):
row = result_list[0]
res_set = result_list[1]
self.fill_table_widget_with_res_info(res_set, row)
if row == len(self.image_filename_list) - 1:
total_number = len(self.image_filename_list)
row_count = self.hyperlpr_tableview.rowCount()
if row_count > total_number:
self.hyperlpr_tableview.removeRow(total_number)
self.hyperlpr_tableview.insertRow(total_number)
item0 = QTableWidgetItem()
item0.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(total_number, 0, item0)
self.hyperlpr_tableview.item(
total_number, 0).setText(
"统计结果")
item1 = QTableWidgetItem()
item1.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(total_number, 1, item1)
self.hyperlpr_tableview.item(
total_number,
1).setText(
"{0} / {1} = {2: .3f}".format(
self.segmentation_recognition_correct_number,
total_number,
self.segmentation_recognition_correct_number /
total_number))
item2 = QTableWidgetItem()
item2.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(total_number, 2, item2)
item3 = QTableWidgetItem()
item3.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(total_number, 3, item3)
self.hyperlpr_tableview.item(
total_number, 3).setText(
"{0} / {1} = {2: .3f}".format(self.e2e_recognization_correct_number, total_number,
self.e2e_recognization_correct_number / total_number))
item4 = QTableWidgetItem()
item4.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(total_number, 4, item4)
self.hyperlpr_tableview.item(
total_number, 4).setText(
"{0} / {1} = {2: .3f}".format(self.color_correct_number, total_number,
self.color_correct_number / total_number))
item5 = QTableWidgetItem()
item5.setTextAlignment(Qt.AlignCenter)
self.hyperlpr_tableview.setItem(total_number, 5, item5)
def fill_table_widget_with_res_info(self, res_set, row):
image_filename_text = self.image_filename_list[row]
if len(res_set) > 0:
self.hyperlpr_tableview.item(row, 1).setText(res_set[0][0])
if res_set[0][0] in image_filename_text:
self.hyperlpr_tableview.item(
row, 1).setForeground(
QBrush(
QColor(
0, 0, 255)))
self.segmentation_recognition_correct_number += 1
else:
self.hyperlpr_tableview.item(
row, 1).setForeground(
QBrush(
QColor(
255, 0, 0)))
self.hyperlpr_tableview.item(
row, 2).setText(
"%.3f" %
(float(
res_set[0][1])))
self.hyperlpr_tableview.item(row, 3).setText(res_set[0][3])
if res_set[0][3] in image_filename_text:
self.hyperlpr_tableview.item(
row, 3).setForeground(
QBrush(
QColor(
0, 0, 255)))
self.color_correct_number += 1
else:
self.hyperlpr_tableview.item(
row, 3).setForeground(
QBrush(
QColor(
255, 0, 0)))
self.hyperlpr_tableview.item(row, 4).setText(res_set[0][4])
if res_set[0][4] in image_filename_text:
self.hyperlpr_tableview.item(
row, 4).setForeground(
QBrush(
QColor(
0, 0, 255)))
self.e2e_recognization_correct_number += 1
else:
self.hyperlpr_tableview.item(
row, 4).setForeground(
QBrush(
QColor(
255, 0, 0)))
self.hyperlpr_tableview.item(
row, 5).setText(
"%.3f" %
(float(
res_set[0][5])))
if __name__ == '__main__':
app = QApplication(sys.argv)
hyper_lpr_widow = HyperLprWindow()
hyper_lpr_widow.showMaximized()
sys.exit(app.exec_())

Comment ( 0 )

You need to Sign in for post a comment

C++
1
https://gitee.com/zeusees/HyperLPR.git
git@gitee.com:zeusees/HyperLPR.git

Help Search