如何从Python和Django访问和控制文档扫描仪[ADF前端和后端]，如柯达或Hp

我已经试过使用扫描仪了。它可以与柯达扫描仪进行通信，但它只扫描第一页，使其清晰，其余页面完全模糊。 而且pyinsane2不再具有可维护性。而且我也不知道如何使用Libsane，它是Pyinsane2的继承者。 我需要一个帮助来控制和扫描PythonDjango

def scan_process(request):
    pyinsane2.init()
    try:
        devices = pyinsane2.get_devices()
        assert (len(devices) > 0)
        device = devices[0]
        print("I'm going to use the following scanner: %s" % (str(device)))
        try:
            pyinsane2.set_scanner_opt(device, "source", "ADF Front")
            # pyinsane2.set_scanner_opt(device, 'duplex', ['both'])
        except PyinsaneException:
            print("No document feeder found")
        pyinsane2.set_scanner_opt(device, 'mode', ['Color'])

        pyinsane2.maximize_scan_area(device)
        source = 'Auto'
        if (device.options['source'].constraint_type
                == pyinsane.SaneConstraintType.STRING_LIST):
            if 'Auto' in device.options['source'].constraint:
                source = 'Auto'
            elif 'FlatBed' in device.options['source'].constraint:
                source = 'FlatBed'
        else:
            print("Warning: Unknown constraint type on the source: %d"% device.options['source'].constraint_type)
        res = 200
        colour = 'Color'
        # set_scanner_opt(device, 'resolution', res)
        # set_scanner_opt(device, 'source', source)
        # set_scanner_opt(device, 'mode', colour)
        set_scanner_opt(device,'quality','maximum')
        # set_scanner_opt(device,'duplex','both')
        #
        pyinsane2.maximize_scan_area(device)
        scan_session = device.scan(multiple=True)

        try:
            while True:
                try:
                    scan_session.scan.read()
                except EOFError:
                    print("Got a page ! (current number of pages read: %d)" % (len(scan_session.images)))
        except StopIteration:
            print("Document feeder is now empty. Got %d pages" % len(scan_session.images))
        for idx in range(0, len(scan_session.images)):
            image = scan_session.images[idx]

            file_name = 'Scan_'
            file_extension = '.pdf' #.bmp
            file_name_new = file_name + str(datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%S"))
            lsfile_name = str((BASE_DIR + '/Bigflow_Demojs/media/' + file_name_new + file_extension))

            lsfile_name_db  = str(('/media/' + file_name_new + file_extension))

            path = Path(lsfile_name)
            path.parent.mkdir(parents=True, exist_ok=True)

            image.save(lsfile_name)   #### Save the Scanned Data

            # from io import BytesIO   ##### Detect The Barcode Data
            # buffered = BytesIO()
            # image.save(buffered, format="JPEG")
            # img_str = base64.b64encode(buffered.getvalue())
            # test = img_str
            #
            # obj_code = base64code.bar_qrcode()
            # obj_code.base64_data = img_str
            # ldict_data = obj_code.read_base64()
            #
            # barcode_data = ldict_data
            # img_path_db = lsfile_name_db
            #
            # out_data = {}
            # out_data = {"MESSAGE":"FOUND","DATA":ldict_data,"IMAGE_PATH":lsfile_name_db}

            # image.save("GRT_%d.bmp" % idx)
            # return JsonResponse(out_data,safe=False)


    except Exception as e:
        str(e)
    # finally:
        # pyinsane2.exit()

它需要扫描所有页面的正面和背面