def run_c3(image, training_path):
"""reads temperature for a single image"""
#FOR CAMERA 3 ONLY
info = check(image)
valid = info[0]
if valid != None:
return valid
width, height = info[1][0], info[1][1]
exif_json = info[2]
valid_heights = [2124] #pictype 3 heights
valid_widths = [3776] #pictype 3 widths
if width not in valid_widths or height not in valid_heights:
return int(-9999)
if not os.path.exists(os.getcwd()+'/temp/'): #if temp folder doesnt exis, create one
os.makedirs(os.getcwd()+'/temp/')
crop.crop_image(image, "temp/digits.jpg", 435, 0, 70, 30) #crops digits
temperature = ocr_contour.recognize('temp/digits.jpg', training_path) #recognize digit
os.remove(os.getcwd()+'/temp/digits.jpg') #clean up temp dir
temp = ''
for i in temperature:
temp +=i
try:
return int(temp)
except:
return int(-9999)
def run_c2(image, training_path):
'''Reads temperature values from HC500/HC600 Hyperfire cameras
Writes any found mismatches on task3/mismatches/ in a .txt file
w/ a randomly generated filename'''
info = check(image)
valid = check(image)[0]
width, height = info[1][0], info[1][1]
valid_widths = [1920, 2048] # pictype 2 heights
valid_heights = [1080, 1536] # pictype 2 widths
if width not in valid_widths or height not in valid_heights:
return int(-9999)
if not os.path.exists(os.getcwd() + '/temp/'): # if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/temp/')
if height == valid_heights[0] and width == valid_widths[0]: #1920x2040
crop.crop_image(image, "temp/digits.jpg", 1710, 0, 115, 30) # crops digits
elif height == valid_heights[1] and width == valid_widths[1]: #2048x1536
crop.crop_image(image, "temp/digits.jpg", 1850, 0, 105, 30)
temperature = ocr_contour.recognize(os.getcwd() + '/temp/digits.jpg', training_path) # recognize right digit
# os.remove(os.getcwd()+'/temp/digits.jpg') #clean up temp dir
ocr_temp = ''
for digit in temperature:
ocr_temp += digit
if valid != None:
exif_temp = int(valid)
ocr_temp = int(ocr_temp)
try:
if ocr_temp != exif_temp:
if not os.path.exists(os.getcwd() + '/mismatches/'): # if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/mismatches/')
f = open("mismatches/{0}.jpg".format(id_generator()), "w")
f.write("exif temp: {0}, ocr temp: {1}, filename: {2}".format(exif_temp,ocr_temp,image))
return int(ocr_temp)
except:
return int(-9999)
def run_c1(image, training_path):
'''reads temperature of images in a directory. CAMERA 1 ONLY'''
info = check(image)
valid = info[0]
width, height = info[1][0], info[1][1]
exif_json = info[2]
valid_heights = [2448] #pictype 3 heights
valid_widths = [3264] #pictype 3 widths
if width not in valid_widths or height not in valid_heights:
return int(-9999)
if valid != None:
return valid
if not os.path.exists(os.getcwd() + '/temp/'): # if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/temp/')
crop.crop_image(image,'temp/digits.jpg', 790, 2355, 375, 70)
crop.invert(os.getcwd() + '/temp/digits.jpg')
info = ocr_contour.recognize(os.getcwd() + '/temp/digits.jpg', training_path, True)
temp = []
for item in info:
if item[0] == '45':
x1,y1 = item[1][0], item[1][1]
for item in info:
if item[1][0] < x1:
temp.append((item[0], item[1][0]))
final = sorted(temp, key = lambda x: x[1])
temperature = ''
for i in final:
temperature += i[0]
try:
return int(temperature)
except:
return int(-9999)
def run_c4(image, training_path):
"""reads temperature for a single image"""
#FOR CAMERA 4 ONLY
info = check(image)
valid = info[0]
if valid != None:
return valid
width, height = info[1][0], info[1][1]
exif_json = info[2]
valid_heights = [1512] #pictype 4 heights
valid_widths = [2688] #pictype 4 widths
if width not in valid_widths or height not in valid_heights:
return int(-9999)
if not os.path.exists(os.getcwd()+'/temp/'): #if temp folder doesnt exis, create one
os.makedirs(os.getcwd()+'/temp/')
crop.crop_image(image, "temp/digits.jpg", 825, 1445, 145, 70)
temperature = ocr_contour.recognize('temp/digits.jpg', training_path, True) #recognize digits
# im = cv2.imread('temp/digits.jpg') ##debugging
# cv2.imshow('img', im) ##debugging
# cv2.waitKey(0) ##debugging
final = sorted(temperature, key = lambda x: x[1][0]) #sort from left to right
os.remove(os.getcwd()+'/temp/digits.jpg') #clean up temp dir
temp = ''
for digit in final:
temp += digit[0]
try:
return int(temp)
except:
return int(-9999)
def run_c1(image, training_path):
'''reads temperature of images in a directory. CAMERA 1 ONLY'''
info = check(image)
valid = info[0]
width, height = info[1][0], info[1][1]
exif_json = info[2]
valid_heights = [2448] #pictype 3 heights
valid_widths = [3264] #pictype 3 widths
if width not in valid_widths or height not in valid_heights:
return "Temp is: {0}".format(-9999)
if valid != None:
return valid
if not os.path.exists(os.getcwd() +
'/temp/'): # if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/temp/')
crop.crop_image(image, 'temp/digits.jpg', 790, 2355, 375, 70)
crop.invert(os.getcwd() + '/temp/digits.jpg')
info = ocr_contour.recognize(os.getcwd() + '/temp/digits.jpg',
training_path, True)
temp = []
for item in info:
if item[0] == '45':
x1, y1 = item[1][0], item[1][1]
for item in info:
if item[1][0] < x1:
temp.append((item[0], item[1][0]))
final = sorted(temp, key=lambda x: x[1])
temperature = ''
for i in final:
temperature += i[0]
try:
return int(temperature)
except:
return "Temp is: {0}".format(-9999)
def run_c4(image, training_path):
"""reads temperature for a single image"""
#FOR CAMERA 4 ONLY
info = check(image)
valid = info[0]
if valid != None:
return valid
width, height = info[1][0], info[1][1]
exif_json = info[2]
valid_heights = [1512] #pictype 4 heights
valid_widths = [2688] #pictype 4 widths
if width not in valid_widths or height not in valid_heights:
return "Temp is: {0}".format(-9999)
if not os.path.exists(os.getcwd() +
'/temp/'): #if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/temp/')
crop.crop_image(image, "temp/digits.jpg", 825, 1445, 145, 70)
temperature = ocr_contour.recognize('temp/digits.jpg', training_path,
True) #recognize digits
# im = cv2.imread('temp/digits.jpg') ##debugging
# cv2.imshow('img', im) ##debugging
# cv2.waitKey(0) ##debugging
final = sorted(temperature,
key=lambda x: x[1][0]) #sort from left to right
os.remove(os.getcwd() + '/temp/digits.jpg') #clean up temp dir
temp = ''
for digit in final:
temp += digit[0]
try:
return int(temp)
except:
return "Temp is: {0}".format(-9999)
def run_c3(image, training_path):
"""reads temperature for a single image"""
#FOR CAMERA 3 ONLY
info = check(image)
valid = info[0]
if valid != None:
return valid
width, height = info[1][0], info[1][1]
exif_json = info[2]
valid_heights = [2124] #pictype 3 heights
valid_widths = [3776] #pictype 3 widths
if width not in valid_widths or height not in valid_heights:
return "Temp is: {0}".format(-9999)
if not os.path.exists(os.getcwd() +
'/temp/'): #if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/temp/')
crop.crop_image(image, "temp/digits.jpg", 435, 0, 70, 30) #crops digits
temperature = ocr_contour.recognize('temp/digits.jpg',
training_path) #recognize digit
os.remove(os.getcwd() + '/temp/digits.jpg') #clean up temp dir
temp = ''
for i in temperature:
temp += i
try:
return int(temp)
except:
return "Temp is: {0}".format(-9999)
def run_c2(image, training_path):
'''Reads temperature values from HC500/HC600 Hyperfire cameras
Writes any found mismatches on task3/mismatches/ in a .txt file
w/ a randomly generated filename'''
info = check(image)
valid = check(image)[0]
width, height = info[1][0], info[1][1]
valid_widths = [1920, 2048] # pictype 2 heights
valid_heights = [1080, 1536] # pictype 2 widths
if width not in valid_widths or height not in valid_heights:
return "Temp is: {0}".format(-9999)
if not os.path.exists(os.getcwd() +
'/temp/'): # if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/temp/')
if height == valid_heights[0] and width == valid_widths[0]: #1920x2040
crop.crop_image(image, "temp/digits.jpg", 1710, 0, 115,
30) # crops digits
elif height == valid_heights[1] and width == valid_widths[1]: #2048x1536
crop.crop_image(image, "temp/digits.jpg", 1850, 0, 105, 30)
temperature = ocr_contour.recognize(os.getcwd() + '/temp/digits.jpg',
training_path) # recognize right digit
# os.remove(os.getcwd()+'/temp/digits.jpg') #clean up temp dir
ocr_temp = ''
for digit in temperature:
ocr_temp += digit
if valid != None:
exif_temp = int(valid)
ocr_temp = int(ocr_temp)
try:
if ocr_temp != exif_temp:
if not os.path.exists(os.getcwd() + '/mismatches/'
): # if temp folder doesnt exis, create one
os.makedirs(os.getcwd() + '/mismatches/')
f = open("mismatches/{0}.jpg".format(id_generator()), "w")
f.write("exif temp: {0}, ocr temp: {1}, filename: {2}".format(
exif_temp, ocr_temp, image))
return int(ocr_temp)
except:
return "Temp is: {0}".format(-9999)