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main.py
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main.py
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import sys,PIL, os
from PyQt5.uic import loadUi
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QApplication, QFileDialog, QMainWindow
from PyQt5.QtGui import QPixmap, QImage, QIcon
import cv2
import numpy as np
from PIL import Image
from PyQt5.QtWidgets import QApplication
from req_packages.ESRGAN.get_esrgan import enhance_clarity_esrgan, get_enhance_full, get_model_for_enhance
from vehicle_package.tracker import *
from general_package.general_file import *
import time
from person_package.person_detection import get_person_detection, get_person_detection_model, compare_faces
model = get_model()
feature_extractor = build_feature_extractor()
class WelcomeScreen(QMainWindow):
def __init__(self):
super(WelcomeScreen, self).__init__()
loadUi(os.path.join("UIFiles","home.ui"),self)
self.speedtrack.clicked.connect(self.gotospeedtrack)
self.person_track.clicked.connect(self.gotopersontrack)
self.brightness_enhance_home.clicked.connect(self.gotobrightness_enhance_home)
self.clarity_enhance_home.clicked.connect(self.gotobrightness_clarity_home)
self.brightness_general_tracking.clicked.connect(self.gotobrightness_general_tracking)
def gotobrightness_general_tracking(self):
two_dim_window = CreateGeneralTrackingSelection()
widget.addWidget(two_dim_window)
widget.setCurrentIndex(widget.currentIndex()+1)
def gotobrightness_enhance_home(self):
two_dim_window = CreateSpeedTrack()
widget.addWidget(two_dim_window)
widget.setCurrentIndex(widget.currentIndex()+1)
def gotobrightness_clarity_home(self):
two_dim_window = CreateClarityWindowSelection()
widget.addWidget(two_dim_window)
widget.setCurrentIndex(widget.currentIndex()+1)
def gotospeedtrack(self):
two_dim_window = CreateSpeedTrack()
widget.addWidget(two_dim_window)
widget.setCurrentIndex(widget.currentIndex()+1)
def gotopersontrack(self):
person_track_windows = CreatePersonSelection()
widget.addWidget(person_track_windows)
widget.setCurrentIndex(widget.currentIndex()+1)
class CreateClarityWindowSelection(QMainWindow):
def __init__(self):
super(CreateClarityWindowSelection, self).__init__()
loadUi(os.path.join("UIFiles","tracking_person2.ui"), self)
# self.start_video_person.clicked.connect(self.select_person_from_folder)
self.pathFrontglobal=''
self.cancel_trackingtwo.clicked.connect(self.go_to_backhome2)
self.dimselector.clicked.connect(self.check_for_error)
self.folderselect.clicked.connect(self.open_front_box)
self.keep_running = True
self.brightness = 1.0
self.contrast = 1.0
def go_to_backhome2(self):
back_to_home2 = WelcomeScreen()
widget.addWidget(back_to_home2)
widget.setCurrentIndex(widget.currentIndex() + 1)
def check_for_error(self):
if len(self.pathFrontglobal) < 1:
self.error.setText("Please Select the Path to Video")
else:
try:
self.frame_count = 0
# enhance_model = get_model_for_enhance()
self.frame1 = cv2.imread(self.pathFrontglobal)
self.brightness_scale.valueChanged.connect(self.brightness_update)
self.clarity_scale.valueChanged.connect(self.clarity_update)
QApplication.processEvents()
self.frame1=cv2.resize(self.frame1, (380,380), interpolation = cv2.INTER_AREA)
# prediction = get_enhance_full(self.frame1, enhance_model)
prediction = cv2.detailEnhance(self.frame1, sigma_s=self.brightness, sigma_r=self.contrast)
# prediction= cv2.addWeighted(self.frame1, self.contrast, np.zeros(self.frame1.shape, self.frame1.dtype), 0, self.brightness)
# kernel1 = np.array([[-1, -1, -1],
# [-1, 8, -1],
# [-1, -1, -1]])
# prediction = cv2.filter2D(prediction, ddepth=-1, kernel=kernel1)
prediction=cv2.resize(prediction, (380,380), interpolation = cv2.INTER_AREA)
# cv2.imshow('dummy',)
prediction = np.array(prediction, dtype=np.uint8)
print(prediction.shape)
# cv2.imshow('dummy', prediction)
self.frame1 = cv2.cvtColor(self.frame1, cv2.COLOR_BGR2RGB)
self.frame1 = QImage(self.frame1.data.tobytes(), self.frame1.shape[1],self.frame1.shape[0],QImage.Format_RGB888)
self.original_photo.setPixmap(QPixmap.fromImage(self.frame1))
self.original_photo.setScaledContents(True)
prediction = QImage(prediction.data.tobytes(), prediction.shape[1],prediction.shape[0],QImage.Format_RGB888)
self.enhance_photo.setPixmap(QPixmap.fromImage(prediction))
self.enhance_photo.setScaledContents(True)
self.error.setText("done")
except:
self.check_for_error()
def open_front_box(self):
filename = QFileDialog.getOpenFileName(filter="Video Files (*.png *.jpg *.jpeg)")
self.pathFrontglobal = filename[0]
if len(self.pathFrontglobal) > 1:
self.pathlabel.setText(self.pathFrontglobal )
def brightness_update(self,value):
self.brightness = value
print(value, self.brightness)
self.check_for_error()
def clarity_update(self, value):
self.contrast = value/100.0
print(value, self.contrast)
self.check_for_error()
class CreateGeneralTrackingSelection(QMainWindow):
def __init__(self):
super(CreateGeneralTrackingSelection, self).__init__()
loadUi(os.path.join("UIFiles","tracking_person.ui"), self)
# self.start_video_person.clicked.connect(self.select_person_from_folder)
self.pathFrontglobal=''
self.cancel_trackingtwo.clicked.connect(self.go_to_backhome2)
self.dimselector.clicked.connect(self.check_for_error)
self.folderselect.clicked.connect(self.open_front_box)
def go_to_backhome2(self):
back_to_home2 = WelcomeScreen()
widget.addWidget(back_to_home2)
widget.setCurrentIndex(widget.currentIndex() + 1)
def check_for_error(self):
if len(self.pathFrontglobal) < 1:
self.error.setText("Please Select the Path to Video")
else:
popup_window = CreateGeneralTracking(self.pathFrontglobal)
widget.addWidget(popup_window)
widget.setCurrentIndex(widget.currentIndex() + 1)
def open_front_box(self):
filename = QFileDialog.getOpenFileName(filter="Video Files (*.avi *.mp4)")
self.pathFrontglobal = filename[0]
if len(self.pathFrontglobal) > 1:
self.pathlabel.setText(self.pathFrontglobal )
class CreateGeneralTracking(QMainWindow):
def __init__(self, path_to_track):
super(CreateGeneralTracking, self).__init__()
loadUi(os.path.join("UIFiles","generaltracking.ui"), self)
self.path_to_track= path_to_track
self.start_generaltracking.clicked.connect(self.start_general_track)
self.frame_count = 0
self.keep_running = True
self.cancel_generaltracking.clicked.connect(self.cancel_genetal_track)
def cancel_genetal_track(self):
self.keep_running = False
back_to_home2 = WelcomeScreen()
widget.addWidget(back_to_home2)
widget.setCurrentIndex(widget.currentIndex() + 1)
def start_general_track(self):
QApplication.processEvents()
cam1 = cv2.VideoCapture(self.path_to_track)
total_frames = int(cam1.get(cv2.CAP_PROP_FRAME_COUNT))
frame_interval = int(cam1.get(cv2.CAP_PROP_FPS))
temp_framelist = []
self.temp_embeds = []
array_count = 0
while self.frame_count<total_frames and self.keep_running:
cam1.set(cv2.CAP_PROP_POS_FRAMES, self.frame_count)
ret1,self.frame1 = cam1.read()
self.frame_count += frame_interval
QApplication.processEvents()
try:
self.frame1 = cv2.cvtColor(self.frame1, cv2.COLOR_BGR2RGB)
self.frame1=cv2.resize(self.frame1, (224,224), interpolation = cv2.INTER_AREA)
normalized_frame = self.frame1 / 255.0
self.temp_embeds.append(feature_extractor.predict( np.expand_dims(normalized_frame,axis=0), verbose=False)[0])
# print(np.asarray(self.temp_embeds).shape)
if np.asarray(self.temp_embeds).shape[0]>SEQUENCE_LENGTH:
self.temp_embeds.pop(0)
# print(np.asarray(self.temp_embeds).shape)
prediction = model.predict(np.expand_dims(np.asarray(self.temp_embeds),axis=0))
print(prediction)
self.ok_generaltracking.setText(CLASSES_LIST[np.argmax(prediction)])
self.frame1=cv2.resize(self.frame1, (608,608), interpolation = cv2.INTER_AREA)
self.frame1 = QImage(self.frame1.data.tobytes(), self.frame1.shape[1],self.frame1.shape[0],QImage.Format_RGB888)
self.embedvideo_generaltracking.setPixmap(QPixmap.fromImage(self.frame1))
self.embedvideo_generaltracking.setScaledContents(True)
except:
self.ok_generaltracking.setText(CLASSES_LIST[0])
class CreatePersonSelection(QMainWindow):
def __init__(self):
super(CreatePersonSelection, self).__init__()
loadUi(os.path.join("UIFiles","tracking_person.ui"), self)
# self.start_video_person.clicked.connect(self.select_person_from_folder)
self.pathFrontglobal=''
self.cancel_trackingtwo.clicked.connect(self.go_to_backhome2)
self.dimselector.clicked.connect(self.check_for_error)
self.folderselect.clicked.connect(self.open_front_box)
def go_to_backhome2(self):
back_to_home2 = WelcomeScreen()
widget.addWidget(back_to_home2)
widget.setCurrentIndex(widget.currentIndex() + 1)
def check_for_error(self):
if len(self.pathFrontglobal) < 1:
self.error.setText("Please Select the Path to Video")
else:
popup_window = CreatePersonTrack(self.pathFrontglobal)
widget.addWidget(popup_window)
widget.setCurrentIndex(widget.currentIndex() + 1)
def open_front_box(self):
filename = QFileDialog.getOpenFileName(filter="Video Files (*.avi *.mp4)")
self.pathFrontglobal = filename[0]
if len(self.pathFrontglobal) > 1:
self.pathlabel.setText(self.pathFrontglobal )
class CreatePersonTrack(QMainWindow):
def __init__(self, path_to_person):
super(CreatePersonTrack, self).__init__()
loadUi(os.path.join("UIFiles","trackingperson.ui"), self)
self.start_video_person.clicked.connect(self.start_person_track)
self.path_to_search_person = None
self.path_to_person= path_to_person
self.frame_count = 0
self.keep_running = True
self.video_cancel_person.clicked.connect(self.cancel_person_track)
def cancel_person_track(self):
self.keep_running = False
back_to_home2 = WelcomeScreen()
widget.addWidget(back_to_home2)
widget.setCurrentIndex(widget.currentIndex() + 1)
def start_person_track(self):
QApplication.processEvents()
self.folderselect_person.clicked.connect(self.select_person_from_folder)
cam1 = cv2.VideoCapture(self.path_to_person)
total_frames = int(cam1.get(cv2.CAP_PROP_FRAME_COUNT))
frame_interval = int(cam1.get(cv2.CAP_PROP_FPS))
while self.frame_count<total_frames and self.keep_running:
cam1.set(cv2.CAP_PROP_POS_FRAMES, self.frame_count)
ret1,self.frame1 = cam1.read()
self.frame_count += frame_interval
QApplication.processEvents()
person_id_model = get_person_detection_model()
if ret1:
self.frame1 = cv2.cvtColor(self.frame1, cv2.COLOR_BGR2RGB)
self.frame1=cv2.resize(self.frame1, (608,608), interpolation = cv2.INTER_AREA)
if self.path_to_search_person is not None:
self.enhance_clarity_person.clicked.connect(self.enhance_clarity)
QApplication.processEvents()
# self.frame1 = compare_faces(self.frame1)
# self.frame1,frame_cropped = get_person_detection(self.frame1,person_id_model)
self.frame1 = get_person_detection(self.frame1,person_id_model,self.image_to_search_person)
self.frame1 = QImage(self.frame1.data.tobytes(), self.frame1.shape[1],self.frame1.shape[0],QImage.Format_RGB888)
self.video_embed_person.setPixmap(QPixmap.fromImage(self.frame1))
self.video_embed_person.setScaledContents(True)
self.frame2 = QImage(self.image_to_search_person.data.tobytes(), self.image_to_search_person.shape[1],self.image_to_search_person.shape[0],QImage.Format_RGB888)
self.video_embed_person_to_check.setPixmap(QPixmap.fromImage(self.frame2))
self.video_embed_person_to_check.setScaledContents(True)
else:
try:
QApplication.processEvents()
# cv2.imshow('ddd', frame_cropped)
self.frame1 = QImage(self.frame1.data.tobytes(), self.frame1.shape[1],self.frame1.shape[0],QImage.Format_RGB888)
self.video_embed_person.setPixmap(QPixmap.fromImage(self.frame1))
self.video_embed_person.setScaledContents(True)
except:
print(self.path_to_search_person)
def select_person_from_folder(self):
if self.keep_running:
QApplication.processEvents()
filename = QFileDialog.getOpenFileName(filter="Video Files (*.png *.jpeg *.jpg)")
self.path_to_search_person = filename[0]
self.image_to_search_person = cv2.imread(self.path_to_search_person)
self.image_to_search_person = cv2.cvtColor(self.image_to_search_person, cv2.COLOR_BGR2RGB)
self.image_to_search_person=cv2.resize(self.image_to_search_person, (224,224), interpolation = cv2.INTER_AREA)
self.start_person_track()
def enhance_clarity(self):
self.image_to_search_person=enhance_clarity_esrgan(self.image_to_search_person)
self.image_to_search_person = np.array(self.image_to_search_person, dtype=np.uint8)
self.image_to_search_person=cv2.resize(self.image_to_search_person, (224,224), interpolation = cv2.INTER_AREA)
self.start_person_track()
# Vehicle Track
class CreateSpeedTrack(QMainWindow):
def __init__(self):
super(CreateSpeedTrack, self).__init__()
loadUi(os.path.join("UIFiles","tracking2.ui"), self)
self.pathTopglobal=''
self.pathFrontglobal=''
self.cancel_trackingtwo.clicked.connect(self.go_to_backhome2)
self.dimselector.clicked.connect(self.check_for_error)
self.folderselect.clicked.connect(self.open_front_box)
def go_to_backhome2(self):
back_to_home2 = WelcomeScreen()
widget.addWidget(back_to_home2)
widget.setCurrentIndex(widget.currentIndex() + 1)
def check_for_error(self):
if len(self.pathFrontglobal) < 1:
self.error.setText("Please Select the Path to Video")
else:
self.error.setText('')
self.pathTopglobal = self.pathFrontglobal
cam1 = cv2.VideoCapture(self.pathTopglobal)
while(True):
ret1,frame1 = cam1.read()
if ret1:
path_to_img_filetop = './Temporary Files/' + str(self.pathTopglobal.split('/')[-1][:-4]) + '.jpg'
print(str(self.pathTopglobal.split('/')[-1][:-4]))
cv2.imwrite(path_to_img_filetop, frame1)
break
break
cam2 = cv2.VideoCapture(self.pathFrontglobal)
while(True):
ret2,frame2 = cam2.read()
if ret2:
path_to_img_filefront = './Temporary Files/' + str(self.pathFrontglobal.split('/')[-1][:-4]) + '.jpg'
print(str(self.pathFrontglobal.split('/')[-1][:-4]))
cv2.imwrite(path_to_img_filefront, frame2)
break
break
popup_window = createpopupforthreedimimage(path_to_img_filetop, path_to_img_filefront,self.pathTopglobal,self.pathFrontglobal)
widget.addWidget(popup_window)
widget.setCurrentIndex(widget.currentIndex() + 1)
def open_front_box(self):
filename = QFileDialog.getOpenFileName(filter="Video Files (*.avi *.mp4)")
print(filename)
self.pathFrontglobal = filename[0]
pathtofront = filename[0]
if len(self.pathFrontglobal) > 1:
self.pathlabel.setText(pathtofront)
# Three Dimension Top View Cropping Window
class createpopupforthreedimimage(QMainWindow):
def __init__(self, path_to_img_filetop, path_to_img_filefront,pathTopglobal,pathFrontglobal):
super(createpopupforthreedimimage, self).__init__()
loadUi(os.path.join("UIFiles","dimensionselect.ui"), self)
self.path_to_img_filetop = path_to_img_filetop
self.path_to_img_filefront = path_to_img_filefront
self.pathTopglobal=pathTopglobal
self.pathFrontglobal = pathFrontglobal
cropping = False
img = Image.open(path_to_img_filetop)
img=img.resize((608, 608), PIL.Image.ANTIALIAS)
file_cropped_save_name = path_to_img_filetop[:-4]+'resized_image.jpg'
img.save(file_cropped_save_name)
self.image = cv2.imread(file_cropped_save_name)
oriImage =self.image.copy()
self.oriImage2 =self.image.copy()
x_start, y_start, x_end, y_end = 0, 0, 0, 0
def mouse_crop(event, x, y, flags, param):
global x_start, y_start, x_end, y_end, cropping
if event == cv2.EVENT_LBUTTONDOWN:
x_start, y_start, x_end, y_end = x, y, x, y
cropping = True
elif event == cv2.EVENT_MOUSEMOVE:
try:
if cropping == True:
x_end, y_end = x, y
except:
pass
elif event == cv2.EVENT_LBUTTONUP:
x_end, y_end = x, y
cropping = False
refPoint = [(x_start, y_start), (x_end, y_end)]
self.toprefPoint = refPoint
if len(refPoint) == 2:
cv2.cvtColor(self.oriImage2, cv2.COLOR_BGR2RGB, self.oriImage2)
self.roi=cv2.resize(self.oriImage2, (608,608), interpolation = cv2.INTER_AREA)
cv2.line(self.roi, refPoint[0], refPoint[1], (0, 255, 0) , thickness=2)
self.roi = QImage(self.roi.data.tobytes(), self.roi.shape[1],self.roi.shape[0],QImage.Format_RGB888)
self.front_line.setPixmap(QPixmap.fromImage(self.roi))
self.front_line.setScaledContents(True)
cv2.destroyAllWindows()
self.retrybuttondim2.clicked.connect(self.crop_again)
self.dimcancel2.clicked.connect(self.go_back_to_3Dtrack)
self.dimok2.clicked.connect(self.gotofrontview)
cv2.namedWindow("image")
cv2.setMouseCallback("image", mouse_crop)
while True:
self.i = self.image.copy()
if not cropping:
cv2.imshow("image", self.image)
elif cropping:
cv2.rectangle(self.i, (x_start, y_start), (x_end, y_end), (255, 0, 0), 2)
cv2.imshow("image", self.i)
break
def gotofrontview(self):
three_dim_window_front = Createthreedimefront(self.path_to_img_filefront,self.path_to_img_filetop,self.toprefPoint,self.pathTopglobal,self.pathFrontglobal)
widget.addWidget(three_dim_window_front)
widget.setCurrentIndex(widget.currentIndex() + 1)
def go_back_to_3Dtrack(self):
three_dim_window = CreateSpeedTrack()
widget.addWidget(three_dim_window)
widget.setCurrentIndex(widget.currentIndex() + 1)
def crop_again(self):
x_start, y_start, x_end, y_end = 0, 0, 0, 0
def mouse_crop(event, x, y, flags, param):
global x_start, y_start, x_end, y_end, cropping
if event == cv2.EVENT_LBUTTONDOWN:
x_start, y_start, x_end, y_end = x, y, x, y
cropping = True
elif event == cv2.EVENT_MOUSEMOVE:
try:
if cropping == True:
x_end, y_end = x, y
except:
pass
elif event == cv2.EVENT_LBUTTONUP:
x_end, y_end = x, y
cropping = False
refPoint = [(x_start, y_start), (x_end, y_end)]
self.toprefPoint = refPoint
if len(refPoint) == 2:
cv2.cvtColor(self.oriImage2 , cv2.COLOR_BGR2RGB, self.oriImage2 )
self.roi=cv2.resize(self.oriImage2, (608,608), interpolation = cv2.INTER_AREA)
cv2.line(self.roi, refPoint[0], refPoint[1], (0, 255, 0) , thickness=2)
self.roi = QImage(self.roi.data.tobytes(), self.roi.shape[1],self.roi.shape[0],QImage.Format_RGB888)
self.front_line.setPixmap(QPixmap.fromImage(self.roi))
self.front_line.setScaledContents(True)
cv2.destroyAllWindows()
self.retrybuttondim2.clicked.connect(self.crop_again)
self.dimcancel2.clicked.connect(self.go_back_to_3Dtrack)
self.dimok2.clicked.connect(self.gotofrontview)
cv2.namedWindow("image")
cv2.setMouseCallback("image", mouse_crop)
while True:
self.i = self.image.copy()
if not cropping:
cv2.imshow("image", self.image)
elif cropping:
cv2.rectangle(self.i, (x_start, y_start), (x_end, y_end), (255, 0, 0), 2)
cv2.imshow("image", self.i)
break
# Three Dimension Front View Cropping Window
class Createthreedimefront(QMainWindow):
def __init__(self,path_to_img_filefront,path_to_img_filetop,toprefPoint,pathTopglobal,pathFrontglobal):
super(Createthreedimefront, self).__init__()
loadUi(os.path.join("UIFiles","dimensionselectend.ui"), self)
self.path_to_img_filefront = path_to_img_filefront
self.toprefPoint = toprefPoint
self.path_to_img_filetop =path_to_img_filetop
self.pathTopglobal=pathTopglobal
self.pathFrontglobal = pathFrontglobal
cropping = False
img = Image.open(path_to_img_filefront)
img=img.resize((608, 608), PIL.Image.ANTIALIAS)
file_cropped_save_name = path_to_img_filefront[:-4]+'resized_image.jpg'
img.save(file_cropped_save_name)
self.image = cv2.imread(file_cropped_save_name)
oriImage =self.image.copy()
self.oriImage2 =self.image.copy()
x_start, y_start, x_end, y_end = 0, 0, 0, 0
def mouse_crop(event, x, y, flags, param):
global x_start, y_start, x_end, y_end, cropping
if event == cv2.EVENT_LBUTTONDOWN:
x_start, y_start, x_end, y_end = x, y, x, y
cropping = True
elif event == cv2.EVENT_MOUSEMOVE:
try:
if cropping == True:
x_end, y_end = x, y
except:
pass
elif event == cv2.EVENT_LBUTTONUP:
x_end, y_end = x, y
cropping = False
refPoint = [(x_start, y_start), (x_end, y_end)]
self.frontrefPoint = refPoint
if len(refPoint) == 2:
self.roi = self.oriImage2
# cv2.imshow("Cropped", self.roi)
cv2.cvtColor(self.roi, cv2.COLOR_BGR2RGB, self.roi)
self.roi=cv2.resize(self.roi, (608,608), interpolation = cv2.INTER_AREA)
cv2.line(self.roi, refPoint[0], refPoint[1], (0, 255, 0) , thickness=2)
self.roi = QImage(self.roi.data.tobytes(), self.roi.shape[1],self.roi.shape[0],QImage.Format_RGB888)
self.endline.setPixmap(QPixmap.fromImage(self.roi))
self.endline.setScaledContents(True)
cv2.destroyAllWindows()
self.retrybuttondim.clicked.connect(self.crop_again)
self.dimcancel.clicked.connect(self.go_back_to_3Dtrack)
self.dimok.clicked.connect(self.goto3DPredicting)
cv2.namedWindow("image")
cv2.setMouseCallback("image", mouse_crop)
while True:
self.i = self.image.copy()
if not cropping:
cv2.imshow("image", self.image)
elif cropping:
cv2.rectangle(self.i, (x_start, y_start), (x_end, y_end), (255, 0, 0), 2)
cv2.imshow("image", self.i)
break
def go_back_to_3Dtrack(self):
three_dim_window = CreateSpeedTrack()
widget.addWidget(three_dim_window)
widget.setCurrentIndex(widget.currentIndex() + 1)
def crop_again(self):
x_start, y_start, x_end, y_end = 0, 0, 0, 0
def mouse_crop(event, x, y, flags, param):
global x_start, y_start, x_end, y_end, cropping
if event == cv2.EVENT_LBUTTONDOWN:
x_start, y_start, x_end, y_end = x, y, x, y
cropping = True
elif event == cv2.EVENT_MOUSEMOVE:
try:
if cropping == True:
x_end, y_end = x, y
except:
pass
elif event == cv2.EVENT_LBUTTONUP:
x_end, y_end = x, y
cropping = False
refPoint = [(x_start, y_start), (x_end, y_end)]
self.frontrefPoint = refPoint
print(refPoint)
if len(refPoint) == 2:
self.roi = self.oriImage2
cv2.cvtColor(self.roi, cv2.COLOR_BGR2RGB, self.roi)
self.roi=cv2.resize(self.roi, (608,608), interpolation = cv2.INTER_AREA)
cv2.line(self.roi, refPoint[0], refPoint[1], (0, 255, 0) , thickness=2)
self.roi = QImage(self.roi.data.tobytes(), self.roi.shape[1],self.roi.shape[0],QImage.Format_RGB888)
self.endline.setPixmap(QPixmap.fromImage(self.roi))
self.endline.setScaledContents(True)
cv2.destroyAllWindows()
self.retrybuttondim.clicked.connect(self.crop_again)
self.dimcancel.clicked.connect(self.go_back_to_3Dtrack)
self.dimok.clicked.connect(self.goto3DPredicting)
cv2.namedWindow("image")
cv2.setMouseCallback("image", mouse_crop)
while True:
self.i = self.image.copy()
if not cropping:
cv2.imshow("image", self.image)
elif cropping:
cv2.rectangle(self.i, (x_start, y_start), (x_end, y_end), (255, 0, 0), 2)
cv2.imshow("image", self.i)
break
def goto3DPredicting(self):
twodimloader = Createthreedimloader(self.pathTopglobal,self.pathFrontglobal,self.toprefPoint,self.frontrefPoint)
widget.addWidget(twodimloader)
widget.setCurrentIndex(widget.currentIndex() + 1)
# Three Dimension Completion Window
class Createthreedimloader(QMainWindow):
def __init__(self,pathTopglobal,pathFrontglobal,firstredpoint,endrefpoint):
super(Createthreedimloader, self).__init__()
loadUi(os.path.join("UIFiles","runspeedtrack.ui"), self)
self.pathTopglobal = pathTopglobal
self.pathFrontglobal = pathFrontglobal
self.toprefPoint = firstredpoint
self.frontrefPoint = endrefpoint
print(self.toprefPoint ,self.frontrefPoint )
self.frame_count = 0
self.keep_running = True
print(self.toprefPoint[0][1],self.toprefPoint[1][1] ,self.frontrefPoint[0][1],self.frontrefPoint[1][1] )
self.start_video.clicked.connect(self.proceed)
# self.cancelthreed.clicked.connect(self.go_to_backhome)
def proceed(self):
QApplication.processEvents()
end = 0
tracker = EuclideanDistTracker()
cap = cv2.VideoCapture(self.pathTopglobal)
f = 25.0
w = int(1000/(f-1))
object_detector = cv2.createBackgroundSubtractorMOG2(history=None,varThreshold=None)
kernalOp = np.ones((3,3),np.uint8)
kernalOp2 = np.ones((5,5),np.uint8)
kernalCl = np.ones((11,11),np.uint8)
fgbg=cv2.createBackgroundSubtractorMOG2(detectShadows=True)
kernal_e = np.ones((5,5),np.uint8)
total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
frame_interval = int(cap.get(cv2.CAP_PROP_FPS))
while True:
# cap.set(cv2.CAP_PROP_POS_FRAMES, self.frame_count)
ret,frame = cap.read()
# self.frame_count += frame_interval
QApplication.processEvents()
cv2.cvtColor(frame, cv2.COLOR_BGR2RGB, frame)
# self.roi=cv2.resize(self.roi, (608,608), interpolation = cv2.INTER_AREA)
if not ret:
break
frame = cv2.resize(frame, None, fx=0.5, fy=0.5)
height,width,_ = frame.shape
print(height, width)
roi = frame
mask = object_detector.apply(roi)
_, mask = cv2.threshold(mask, 250, 255, cv2.THRESH_BINARY)
fgmask = fgbg.apply(roi)
ret, imBin = cv2.threshold(fgmask, 200, 255, cv2.THRESH_BINARY)
mask1 = cv2.morphologyEx(imBin, cv2.MORPH_OPEN, kernalOp)
mask2 = cv2.morphologyEx(mask1, cv2.MORPH_CLOSE, kernalCl)
e_img = cv2.erode(mask2, kernal_e)
_,contours,_ = cv2.findContours(e_img,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
detections = []
for cnt in contours:
area = cv2.contourArea(cnt)
#THRESHOLD
if area > 1000:
x,y,w,h = cv2.boundingRect(cnt)
cv2.rectangle(roi,(x,y),(x+w,y+h),(0,255,0),3)
detections.append([x,y,w,h])
#Object Tracking
boxes_ids = tracker.update(detections)
for box_id in boxes_ids:
x,y,w,h,id = box_id
if(tracker.getsp(id)<tracker.limit()):
cv2.putText(roi,str(id)+" "+str(tracker.getsp(id)),(x,y-15), cv2.FONT_HERSHEY_PLAIN,1,(255,255,0),2)
cv2.rectangle(roi, (x, y), (x + w, y + h), (0, 255, 0), 3)
else:
cv2.putText(roi,str(id)+ " "+str(tracker.getsp(id)),(x, y-15),cv2.FONT_HERSHEY_PLAIN, 1,(0, 0, 255),2)
cv2.rectangle(roi, (x, y), (x + w, y + h), (0, 165, 255), 3)
s = tracker.getsp(id)
print(x, y, h, w, s, id)
if (tracker.f[id] == 1 and s != 0):
tracker.capture(roi, x, y, h, w, s, id)
# DRAW LINES
cv2.line(roi, (0, 410), (960, 410), (0, 0, 255), 2)
# cv2.line(roi, (0, 430), (960, 430), (0, 0, 255), 2)
cv2.line(roi, (0, 235), (960, 235), (0, 0, 255), 2)
# cv2.line(roi, (0, 255), (960, 255), (0, 0, 255), 2)
QApplication.processEvents()
print(roi.shape)
roi = QImage(roi.data.tobytes(), roi.shape[1],roi.shape[0],QImage.Format_RGB888)
self.video_embed.setPixmap(QPixmap.fromImage(roi))
self.video_embed.setScaledContents(True)
def go_to_backhome(self):
back_to_home1 = WelcomeScreen()
widget.addWidget(back_to_home1)
widget.setCurrentIndex(widget.currentIndex() + 1)
app = QApplication(sys.argv)
welcome = WelcomeScreen()
widget = QtWidgets.QStackedWidget()
widget.addWidget(welcome)
widget.setFixedHeight(900)
widget.setFixedWidth(1200)
widget.setWindowTitle('Chennaipol')
widget.setWindowIcon(QIcon(os.path.join('icons','icon.png')))
widget.show()
try:
sys.exit(app.exec_())
except:
print("Exiting")