'/Users/sanjaymamidipaka/Downloads/Energizer Latest/ZSAPIBP1C_MASTERDATATYPES_2021-05-05_23_58.csv',
'/Users/sanjaymamidipaka/Downloads/Energizer Latest/ZSAPIBP1C_PLEVELS_ATTRS_2021-05-05_23_58.csv',
'/Users/sanjaymamidipaka/Downloads/Energizer Latest/ZSAPIBP1C_KEYFIGURES_2021-05-05_23_58.csv',
'/Users/sanjaymamidipaka/Downloads/Energizer Latest/ZSAPIBP1C_ATTRIBUTES_AS_KEYFIGURE_2021-05-05_23_58.csv',
'/Users/sanjaymamidipaka/Downloads/Energizer Latest/ZSAPIBP1C_TIMEPROFILE_2021-05-05_23_58.csv',
'/Users/sanjaymamidipaka/Downloads/Energizer Latest/ZSAPIBP1C_PA_ATTRIBUTES_2021-05-05_23_58.csv'
]
timeprofile_instance = timeprofile(writer, energizerlatestpaths)
timeprofile_instance.run()
masterdata_instance = masterdata(writer, energizerlatestpaths)
masterdata_instance.run()
virtualReference_instance = virtualReference(writer, energizerlatestpaths)
virtualReference_instance.run()
attributes_instance = attributes(writer, energizerlatestpaths)
attributes_instance.run()
planninglevels_instance = planninglevels(writer, energizerlatestpaths)
planninglevels_instance.run()
keyfigures_instance = keyfigures(writer, energizerlatestpaths)
keyfigures_instance.run()
attributesaskf_instance = attributesaskf(writer, energizerlatestpaths)
attributesaskf_instance.run()
writer.book.close() #close the workbook
screen1=cv2.resize(screen1,(480,320))
#screen1=np.array(ImageGrab.grab(bbox=(40,180,1000,840)))
screen1=cv2.cvtColor(screen1, cv2.COLOR_BGR2RGB)
gray=cv2.resize(cv2.cvtColor(screen1,cv2.COLOR_BGR2GRAY),(480,320))
screen2=cv2.resize(screen1,(480,320))
cv2.imshow('window',screen2)
gray=cv2.resize(cv2.cvtColor(screen1,cv2.COLOR_BGR2GRAY),(480,320))
cv2.imshow('GRAY',gray)
cv2.imshow('GaussianBlur',cv2.resize(cv2.GaussianBlur(screen1,(45,45),10),(480,320)))
#img5=cv2.imread(r'C:\Users\Abhi\Desktop\Robotics_course_upenn\Motion_planning\Plant\plantvillage\Tomato___Late_blight\0ab1cab4-a0c9-4323-9a64-cdafa4342a9b___GHLB2 Leaf 8918.JPG')
labels=predict1.predict1(model_final,screen1)
#print(a)
data=pd.DataFrame(columns={'label','percent'})
label.append(labels)
percent=attributes.attributes(img5)
percents.append(percent)
#print "loop took {} seconds",format(t)
#current_time=time.time()
#time.sleep(1)
#print('sss')
if cv2.waitKey(1) & 0xFF == ord('q'):
print('q')
cv2.destroyAllWindows()
data['label']=label
data['percent']=percents
data.to_csv(r'datasheet_very_2nd_useful.csv', index = False, header=True)
stop_threads=True
sys.exit()
break
