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running.py
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running.py
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'''This program performs Quality Control on Sub Rolls'''
# check computer ID against const
import subprocess
current_machine_id = subprocess.check_output('wmic csproduct get uuid').decode().split('\n')[1].strip()
if current_machine_id != '03000200-0400-0500-0006-000700080009':
print 'Computer is not verified'
quit()
# External Libraries
import os
import cv2
import threading
import numpy as np
import time
from Queue import Queue
from shutil import copyfile
# My Modules
import camera_setup
import running_window
import program_state
import variables
import info_logger
import handle_config # module to handle config settings
handle_config.init() # config settings need loaded
# AIO DLL
import clr
my_path = os.path.abspath(os.path.dirname(__file__))
AIO_DLL = clr.AddReference(my_path + '/AIOWDMNet.dll')
from AIOWDMNet import AIOWDM # pylint: disable=E0401
AIO_INSTANCE = AIOWDM()
AIO_INSTANCE.RelOutPort(0, 0, 0) # Reset AIO to empty
CAPTURE = camera_setup.main() # Get camera stream
app = running_window.RunningWindow() # GetUI instance
app.start() # Start UI
OUTPUT = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] # current AIO output
AIO_PASS_FAIL_PULSE = [] # array to hold Lane AIO Pass/Fail
AIO_ACTIONS = [] # array to hold AIO Values
LANE_FLAG = [] # array to hold Lane AIO Outputs
THREADS = [] # array to hold threads
THRESHOLD_IMG = [] # shared img
RECTS_ARR = [] # array to hold rectangles
PREV_RECTS_ARR = [] # array to hold last rectangles
BOX_ARR = [] # array to hold contours
AVG_WIDTHS_CURRENT = [] # array to hold [0] current avg width [1] total scanned
AVG_HEIGHTS_CURRENT = [] # array to hold [0] current avg height [1] total scanned
AVG_WIDTHS_TOTAL = [] # array to hold [0] current total width [1] total ran
AVG_HEIGHTS_TOTAL = [] # array to hold [0] current total height [1] total ran
PASS_COUNTS = [] # array to hold total pass count
FAIL_COUNTS = [] # array to hold total fail count
HISTORICAL_FAILS = [] # array to hold past 6 results for the lanes
# Setup variables for number of lanes
for lane in range(handle_config.LANE_COUNT):
AIO_PASS_FAIL_PULSE.append([0, 0])
AIO_ACTIONS.append(0)
LANE_FLAG.append('')
RECTS_ARR.append([])
PREV_RECTS_ARR.append([])
BOX_ARR.append([])
AVG_WIDTHS_CURRENT.append([0, 0])
AVG_HEIGHTS_CURRENT.append([0, 0])
AVG_WIDTHS_TOTAL.append([0, 0])
AVG_HEIGHTS_TOTAL.append([0, 0])
PASS_COUNTS.append(0)
FAIL_COUNTS.append(0)
HISTORICAL_FAILS.append([])
for x in range(0, handle_config.LANE_HISTORY):
HISTORICAL_FAILS[lane].append(0)
class lanePulseThread (threading.Thread):
''' One Per Lane '''
''' This thread listens for pass/fail flags '''
''' After a delay sets the AIO value and clears the flag '''
def __init__(self, lane):
threading.Thread.__init__(self)
self.lane = lane
def run(self):
global LANE_FLAG
lane = self.lane
while not program_state.STOP_PROGRAM:
if program_state.RUN_MODE and LANE_FLAG[lane]: # if flag detected
if LANE_FLAG[lane] == 'Pass':
AIO_PASS_FAIL_PULSE[lane] = [1, 0]
time.sleep(handle_config.AIO_WAIT) # sleep for 200 ms
elif LANE_FLAG[lane] == 'Fail':
AIO_PASS_FAIL_PULSE[lane] = [0, 1]
AIO_ACTIONS[lane] = 1
time.sleep(handle_config.AIO_WAIT) # sleep for 200 ms
AIO_PASS_FAIL_PULSE[lane] = [0, 0]
AIO_ACTIONS[lane] = 0
LANE_FLAG[lane] = ''
class aioThread (threading.Thread):
''' Master '''
''' This thread controls the AIO '''
''' If running mode - Sets AIO to running state with any Pass/Fail values '''
''' If calibrate mode - Sets AIO to stop running '''
def __init__(self):
threading.Thread.__init__(self)
def run(self):
global AIO_ACTIONS, OUTPUT
LAST_OUTPUT = []
while not program_state.STOP_PROGRAM:
if program_state.RUN_MODE:
if handle_config.LANE_COUNT == 4:
# Set AIO to running (high on 8) and any pulses
OUTPUT = [
AIO_PASS_FAIL_PULSE[0][0], AIO_PASS_FAIL_PULSE[0][1], # Lane 1 Pass, Fail
AIO_PASS_FAIL_PULSE[1][0], AIO_PASS_FAIL_PULSE[1][1], # Lane 2 Pass, Fail
AIO_PASS_FAIL_PULSE[2][0], AIO_PASS_FAIL_PULSE[2][1], # Lane 3 Pass, Fail
AIO_PASS_FAIL_PULSE[3][0], AIO_PASS_FAIL_PULSE[3][1], # Lane 4 Pass, Fail
1, # Running
0, 0, 0
]
else:
# Set AIO to running (high on 8) and any pulses
OUTPUT = [
AIO_PASS_FAIL_PULSE[0][0], AIO_PASS_FAIL_PULSE[0][1], # Lane 1 Pass, Fail
AIO_PASS_FAIL_PULSE[1][0], AIO_PASS_FAIL_PULSE[1][1], # Lane 2 Pass, Fail
AIO_PASS_FAIL_PULSE[2][0], AIO_PASS_FAIL_PULSE[2][1], # Lane 3 Pass, Fail
0, 0, # No Lane 4
1, # Running
AIO_ACTIONS[0], AIO_ACTIONS[1], AIO_ACTIONS[2]
]
elif program_state.CALIBRATE_MODE:
# Set AIO to stop
OUTPUT = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
# Only send update if it is different than last value
if OUTPUT != LAST_OUTPUT:
AIO_INSTANCE.RelOutPort(0, 0, variables.CALCULATE_IO_VALUE(OUTPUT))
LAST_OUTPUT = OUTPUT[:]
class statsThread (threading.Thread):
''' Master '''
''' This thread calculates the running statistics and flags pass/fail'''
def __init__(self):
threading.Thread.__init__(self)
def calculate_avg(self, array, newVal):
total = array[0] * array[1]
new_total = total + newVal
new_total_count = array[1] + 1
new_avg = new_total / new_total_count
return [new_avg, new_total_count]
def run(self):
global LANE_FLAG # flag to alert AIO
global RECTS_ARR # contains current bounding rectangles
global BOX_ARR # contains current bounding boxes
global PASS_COUNTS, FAIL_COUNTS # total counts
global AVG_WIDTHS_TOTAL, AVG_HEIGHTS_TOTAL # total average width/height
global AVG_WIDTHS_CURRENT, AVG_HEIGHTS_CURRENT # current average width/height
while not program_state.STOP_PROGRAM:
if not program_state.RUN_MODE:
# Reset stats
for lane in range(handle_config.LANE_COUNT):
AIO_PASS_FAIL_PULSE[lane] = [0, 0]
AIO_ACTIONS[lane] = 0
LANE_FLAG[lane] = ''
# Skip everything else
pass
for lane in range(handle_config.LANE_COUNT):
# if lanes rectangle hasn't changed then skip
if RECTS_ARR[lane] == PREV_RECTS_ARR[lane]:
continue
else:
PREV_RECTS_ARR[lane] = RECTS_ARR[lane]
# If blob deteced within our scan section
if len(RECTS_ARR[lane]) > 0 and len(BOX_ARR[lane]) > 0:
current_box = BOX_ARR[lane][:]
high_pos = max([position[1] for position in current_box])
exiting_box = handle_config.LANE_HEIGHT_START + \
handle_config.LANE_HEIGHT - \
handle_config.EDGE_GAP
# if blob is exiting the box
if high_pos > exiting_box:
# if the averages haven't been added yet we add them
if AVG_WIDTHS_CURRENT[lane][0] > 0 and AVG_HEIGHTS_CURRENT[lane][0] > 0:
average_width = AVG_WIDTHS_CURRENT[lane][0]
average_height = AVG_HEIGHTS_CURRENT[lane][0]
# Calculate total AVG width and height
AVG_WIDTHS_TOTAL[lane] = self.calculate_avg(AVG_WIDTHS_TOTAL[lane], average_width)
AVG_HEIGHTS_TOTAL[lane] = self.calculate_avg(AVG_HEIGHTS_TOTAL[lane], average_height)
if average_width < handle_config.LANE_FAIL_WIDTHS_LOW[lane] or \
average_width > handle_config.LANE_FAIL_WIDTHS_HIGH[lane] or \
average_height < handle_config.LANE_FAIL_HEIGHTS_LOW[lane] or \
average_height > handle_config.LANE_FAIL_HEIGHTS_HIGH[lane]:
FAIL_COUNTS[lane] += 1
LANE_FLAG[lane] = 'Fail'
HISTORICAL_FAILS[lane].insert(0, 1)
else:
PASS_COUNTS[lane] += 1
LANE_FLAG[lane] = 'Pass'
HISTORICAL_FAILS[lane].insert(0, 0)
HISTORICAL_FAILS[lane].pop()
info_logger.result(lane, int(average_width), int(average_height))
# Reset arrays
AVG_WIDTHS_CURRENT[lane] = [0, 0]
AVG_HEIGHTS_CURRENT[lane] = [0, 0]
# If a valid blob then count it
else:
current_rect = RECTS_ARR[lane][:]
try:
if current_rect[1][0] > current_rect[1][1]:
w = current_rect[1][0]
h = current_rect[1][1]
else:
w = current_rect[1][1]
h = current_rect[1][0]
# Calculate AVG width and height
AVG_WIDTHS_CURRENT[lane] = self.calculate_avg(AVG_WIDTHS_CURRENT[lane], w)
AVG_HEIGHTS_CURRENT[lane] = self.calculate_avg(AVG_HEIGHTS_CURRENT[lane], h)
except Exception as e:
info_logger.stats_error(lane, current_rect, RECTS_ARR, e)
class imgProc (threading.Thread):
''' Master '''
''' This thread controls the displayed image '''
''' Displays any contours along with run information and AIO state '''
def __init__(self):
threading.Thread.__init__(self)
def run(self):
global THRESHOLD_IMG # Thresholded image
global RECTS_ARR # contains current bounding rectangles
global PASS_COUNTS, FAIL_COUNTS # total counts
global AVG_WIDTHS_TOTAL, AVG_HEIGHTS_TOTAL # average width/height
logo_x_offset = 560
logo_y_offset = 50
mcs_logo = cv2.imread(handle_config.LOGO_LOCATION)
mcs_logo = cv2.resize(mcs_logo, (0,0), fx=1.25, fy=1.25)
stats_font_size = 1
if handle_config.LANE_COUNT == 4:
stats_font_size = 0.8
while not program_state.STOP_PROGRAM:
_, FRAME = CAPTURE.read() # Take each FRAME
CROPPED = FRAME[handle_config.FRAME_HEIGHT_START:handle_config.FRAME_HEIGHT_END, handle_config.FRAME_WIDTH_START:handle_config.FRAME_WIDTH_END]
GRAY = cv2.cvtColor(CROPPED, cv2.COLOR_BGR2GRAY) # Turn image to Grayscale
_, THRESHOLD_IMG = cv2.threshold(GRAY, handle_config.WHITE_THRESH, 255, 0) # Run threshold on gray image
DISPLAY_IMG = CROPPED
if program_state.THRESH_MODE:
DISPLAY_IMG = THRESHOLD_IMG
for lane in range(handle_config.LANE_COUNT):
if len(RECTS_ARR[lane]) > 0 and len(BOX_ARR[lane]) > 0:
color = handle_config.RED
current_rect = RECTS_ARR[lane]
current_box = BOX_ARR[lane]
if current_rect[1][0] > current_rect[1][1]:
w = current_rect[1][0]
h = current_rect[1][1]
else:
w = current_rect[1][1]
h = current_rect[1][0]
calc_dimensions = variables.dimension_calc(lane, w, h)
if variables.is_pass(lane, w, h):
color = handle_config.GREEN
start_pos = min([position[0] for position in current_box])
high_pos = min([position[1] for position in current_box])
highest_pos = max([position[1] for position in current_box])
low_pos = max([position[1] for position in current_box]) + 15
exiting_box = handle_config.LANE_HEIGHT_START + \
handle_config.LANE_HEIGHT - \
handle_config.EDGE_GAP
if highest_pos > exiting_box:
cv2.drawContours(CROPPED, [current_box], 0, handle_config.ORANGE, 2)
else:
cv2.drawContours(CROPPED, [current_box], 0, color, 2)
cv2.putText(CROPPED, calc_dimensions, (start_pos, high_pos), handle_config.FONT, stats_font_size, color, 2)
if program_state.CALIBRATE_MODE:
pixel_dimensions = '{0}px x {1}px'.format(int(w), int(h))
cv2.putText(CROPPED, pixel_dimensions, (start_pos, low_pos), handle_config.FONT, stats_font_size, handle_config.RED, 2)
if program_state.REQUEST_CALIBRATE:
for lane in range(handle_config.LANE_COUNT): # loop through lanes
if RECTS_ARR[lane]: # if lane has contour
current_rect = RECTS_ARR[lane]
if current_rect[1][0] > current_rect[1][1]:
w = current_rect[1][0]
h = current_rect[1][1]
else:
w = current_rect[1][1]
h = current_rect[1][0]
handle_config.PIXEL_WIDTHS[lane] = w
handle_config.PIXEL_HEIGHTS[lane] = h
# Adjust ratios to match calibration
for index, width in enumerate(handle_config.PIXEL_WIDTHS):
handle_config.WIDTH_RATIOS[index] = handle_config.ACTUAL_WIDTH / width
for index, height in enumerate(handle_config.PIXEL_HEIGHTS):
handle_config.HEIGHT_RATIOS[index] = handle_config.ACTUAL_HEIGHT / height
# Update low highs for calibration
for index, ratio in enumerate(handle_config.WIDTH_RATIOS):
handle_config.LANE_FAIL_WIDTHS_LOW[index] = handle_config.FAIL_WIDTH_LOW / ratio
for index, ratio in enumerate(handle_config.WIDTH_RATIOS):
handle_config.LANE_FAIL_WIDTHS_HIGH[index] = handle_config.FAIL_WIDTH_HIGH / ratio
for index, ratio in enumerate(handle_config.HEIGHT_RATIOS):
handle_config.LANE_FAIL_HEIGHTS_LOW[index] = handle_config.FAIL_HEIGHT_LOW / ratio
for index, ratio in enumerate(handle_config.HEIGHT_RATIOS):
handle_config.LANE_FAIL_HEIGHTS_HIGH[index] = handle_config.FAIL_HEIGHT_HIGH / ratio
handle_config.setValue('CALIBRATION', 'PIXEL_WIDTHS', handle_config.PIXEL_WIDTHS)
handle_config.setValue('CALIBRATION', 'PIXEL_HEIGHTS', handle_config.PIXEL_HEIGHTS)
program_state.request_calibration(False)
# Not Thresh Mode
not_thresh_statement = (lane for lane in range(handle_config.LANE_COUNT) if not program_state.THRESH_MODE and not program_state.CALIBRATE_MODE)
for lane in not_thresh_statement:
AVG_TEXT = '% PASSED: 0'
AVG_WIDTHS_TEXT = 'AVG LENGTH: ' + str(int(AVG_WIDTHS_TOTAL[lane][0] * handle_config.WIDTH_RATIOS[lane])) + 'mm'
AVG_HEIGHTS_TEXT = 'AVG THICKNESS: ' + str(int(AVG_HEIGHTS_TOTAL[lane][0] * handle_config.HEIGHT_RATIOS[lane])) + 'mm'
if PASS_COUNTS[lane] > 0:
AVG_TEXT = '% PASSED: ' + str(100 * PASS_COUNTS[lane] / (PASS_COUNTS[lane] + FAIL_COUNTS[lane]))
cv2.putText(CROPPED, 'LANE ' + str(lane + 1), (handle_config.LANE_WIDTH_START[lane], handle_config.TEXT_Y), handle_config.FONT, stats_font_size, handle_config.RED, 2)
cv2.putText(CROPPED, 'PASS: ' + str(PASS_COUNTS[lane]), (handle_config.LANE_WIDTH_START[lane], handle_config.TEXT_Y + 30), handle_config.FONT, stats_font_size, handle_config.RED, 2)
cv2.putText(CROPPED, 'FAIL: ' + str(FAIL_COUNTS[lane]), (handle_config.LANE_WIDTH_START[lane], handle_config.TEXT_Y + 60), handle_config.FONT, stats_font_size, handle_config.RED, 2)
cv2.putText(CROPPED, AVG_TEXT, (handle_config.LANE_WIDTH_START[lane], handle_config.TEXT_Y + 90), handle_config.FONT, stats_font_size, handle_config.RED, 2)
if AVG_WIDTHS_TOTAL[lane][0] > 0:
cv2.putText(CROPPED, AVG_WIDTHS_TEXT, (handle_config.LANE_WIDTH_START[lane], handle_config.TEXT_Y + 120), handle_config.FONT, stats_font_size, handle_config.RED, 2)
if AVG_HEIGHTS_TOTAL[lane][0] > 0:
cv2.putText(CROPPED, AVG_HEIGHTS_TEXT, (handle_config.LANE_WIDTH_START[lane], handle_config.TEXT_Y + 150), handle_config.FONT, stats_font_size, handle_config.RED, 2)
all_lanes_pass = sum(PASS_COUNTS)
all_lanes_fail = sum(FAIL_COUNTS)
if all_lanes_pass + all_lanes_fail > 0:
fail_perc = 100.0 * all_lanes_fail / (all_lanes_pass + all_lanes_fail)
running_total_txt = 'RUNNING TOTAL:- '
running_total_txt += 'PASSED = ' + str(all_lanes_pass)
running_total_txt += ' FAILED = ' + str(all_lanes_fail)
running_total_txt += ' % FAILED = {:.1f}%'.format(fail_perc)
# get boundary of this text
textsize = cv2.getTextSize(running_total_txt, handle_config.FONT, 1, 2)[0]
# get coords based on boundary
textX = (CROPPED.shape[1] - textsize[0]) / 2
textPos = 825
if handle_config.LANE_COUNT == 3:
textPos = 880
cv2.putText(CROPPED, running_total_txt, (textX, textPos), handle_config.FONT, 1, handle_config.RED, 2)
cv2.line(CROPPED, (0, textPos - 35), (2000, textPos - 35), handle_config.RED, 2)
cv2.line(CROPPED, (0, textPos + 15), (2000, textPos + 15), handle_config.RED, 2)
# Show Lane Boundaries
cv2.rectangle(CROPPED, (handle_config.LANE_X1, handle_config.LANE_Y1), (handle_config.LANE_X2, handle_config.LANE_Y2), handle_config.YELLOW, 2)
cv2.rectangle(CROPPED, (handle_config.SPLIT_X1, handle_config.LANE_Y1), (handle_config.SPLIT_X2, handle_config.LANE_Y2), handle_config.YELLOW, 2)
if handle_config.LANE_COUNT == 4:
cv2.rectangle(CROPPED, (handle_config.SPLIT_X3, handle_config.LANE_Y1), (handle_config.SPLIT_X4, handle_config.LANE_Y2), handle_config.YELLOW, 2)
# Lane Traffic Calculations
red_fail = '111111'
yellow_fail = '111'
for lane in range(handle_config.LANE_COUNT): # loop through lanes
traffic_colour = handle_config.GREEN
history = ''.join(str(e) for e in HISTORICAL_FAILS[lane])
if red_fail in history:
traffic_colour = handle_config.RED
elif yellow_fail in history:
traffic_colour = handle_config.YELLOW
cv2.rectangle(CROPPED, (handle_config.TRAFFIC_X1[lane], handle_config.TRAFFIC_Y1), (handle_config.TRAFFIC_X2[lane], handle_config.TRAFFIC_Y2), traffic_colour, -1)
# Show MCS Logo
CROPPED[
logo_y_offset : logo_y_offset + mcs_logo.shape[0],
logo_x_offset : logo_x_offset + mcs_logo.shape[1]
] = mcs_logo
outputTxt = 'OUTPUT: ' + str(OUTPUT)
# get boundary of this text
textsize = cv2.getTextSize(outputTxt, handle_config.FONT, 1, 2)[0]
# get coords based on boundary
textX = (CROPPED.shape[1] - textsize[0]) / 2
# Show current AIO
cv2.putText(CROPPED, outputTxt, (textX, 435), handle_config.FONT, 1, handle_config.RED, 2)
# Show min/max values
max_length = 'MAX LENGTH = ' + str(int(handle_config.FAIL_WIDTH_HIGH)) + 'mm '
min_length = 'MIN LENGTH = ' + str(int(handle_config.FAIL_WIDTH_LOW)) + 'mm '
max_thickness = 'MAX THICKNESS = ' + str(int(handle_config.FAIL_HEIGHT_HIGH)) + 'mm'
min_thickness = 'MIN THICKNESS = ' + str(int(handle_config.FAIL_HEIGHT_LOW)) + 'mm'
cv2.putText(CROPPED, 'CURRENT REJECT SETTINGS', (240, 950), handle_config.FONT, 1, handle_config.RED, 2)
cv2.line(CROPPED, (50, 965), (875, 965), handle_config.RED, 2)
cv2.putText(CROPPED, max_length + max_thickness, (50, 1000), handle_config.FONT, 1, handle_config.RED, 2)
cv2.putText(CROPPED, min_length + min_thickness, (50, 1050), handle_config.FONT, 1, handle_config.RED, 2)
window_name = 'LINE VIEW'
if DISPLAY_IMG != []:
cv2.namedWindow(window_name, cv2.WND_PROP_FULLSCREEN)
cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
cv2.imshow(window_name, DISPLAY_IMG)
# Required for loop no need for key read
k = cv2.waitKey(1) & 0xFF
class laneThread (threading.Thread):
def __init__(self, lane):
threading.Thread.__init__(self)
self.lane = lane
def run(self):
global THRESHOLD_IMG # Thresholded image
global RECTS_ARR # contains current bounding rectangles
while not program_state.STOP_PROGRAM:
lane = self.lane
while len(THRESHOLD_IMG) == 0:
pass
LANE_RECTS = []
LANE_BOXES = []
THRESH_LANE_IMG = THRESHOLD_IMG[handle_config.LANE_HEIGHT_START:handle_config.LANE_HEIGHT_END, handle_config.LANE_WIDTH_START[lane]:handle_config.LANE_WIDTH_END[lane]]
# run opencv find contours, only external boxes
CONTOURS, _ = cv2.findContours(THRESH_LANE_IMG, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if CONTOURS:
try:
contour = max(CONTOURS, key=cv2.contourArea) # find the biggest area
except Exception as e:
info_logger.lane_error(lane, CONTOURS, e)
rect = cv2.minAreaRect(contour)
box = cv2.boxPoints(rect)[:]
box = np.int64(box)
start_pos = min([position[1] for position in box])
# if area big enough
# if contour within top bound
if cv2.contourArea(contour) > handle_config.MIN_AREA and \
start_pos > handle_config.EDGE_GAP:
for position in box:
position[0] += handle_config.LANE_WIDTH_START[lane]
position[1] += handle_config.LANE_HEIGHT_START
LANE_RECTS = rect
LANE_BOXES = box
RECTS_ARR[lane] = LANE_RECTS
BOX_ARR[lane] = LANE_BOXES
class resultsExportThread (threading.Thread):
''' One Per Lane '''
''' This thread listens for pass/fail flags '''
''' After a delay sets the AIO value and clears the flag '''
def __init__(self):
threading.Thread.__init__(self)
def run(self):
global AVG_WIDTHS_CURRENT, AVG_HEIGHTS_CURRENT # current average width/height
global AVG_WIDTHS_TOTAL, AVG_HEIGHTS_TOTAL # total average width/height
global PASS_COUNTS, FAIL_COUNTS # total counts
exporting = False
while not program_state.STOP_PROGRAM:
current_time = time.strftime('%X')
if current_time in handle_config.EXPORT_TIMES:
if exporting == False:
# Reset stats
for lane in range(handle_config.LANE_COUNT):
AVG_WIDTHS_CURRENT[lane] = [0, 0]
AVG_HEIGHTS_CURRENT[lane] = [0, 0]
AVG_WIDTHS_TOTAL[lane] = [0, 0]
AVG_HEIGHTS_TOTAL[lane] = [0, 0]
PASS_COUNTS[lane] = 0
FAIL_COUNTS[lane] = 0
result_location = handle_config.CURRENT_RESULTS
template_location = handle_config.TEMPLATE_FILE
destination = handle_config.FOLDER_LOCATION + time.strftime('%Y-%m-%d_%p') + '.csv'
copyfile(result_location, destination)
copyfile(template_location, result_location)
exporting = True
else:
exporting = False
THREADS.append(aioThread())
THREADS.append(statsThread())
THREADS.append(imgProc())
THREADS.append(resultsExportThread())
for lane in range(handle_config.LANE_COUNT):
THREADS.append(lanePulseThread(lane))
THREADS.append(laneThread(lane))
for thread in THREADS:
thread.start()
# Wait for stop program
while program_state.STOP_PROGRAM == False:
pass
print('Stopping')
# Wait for all threads to complete
for t in THREADS:
t.join()
print('Exiting Main Thread')
CAPTURE.release() # Release everything if job is finished
AIO_INSTANCE.RelOutPort(0, 0, 0) # Reset AIO to empty
cv2.destroyAllWindows() # Destroy all opencv windows
app.root.destroy() # Destroy tkInter windows