'/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