32 changed files with 6934 additions and 217 deletions
@ -1,22 +1,25 @@ |
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# -*- coding: utf-8 -*- |
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############################################################################### |
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################################################################################ |
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# |
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# Cybrosys Technologies Pvt. Ltd. |
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# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (odoo@cybrosys.com) |
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# |
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# This program is free software: you can modify |
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# it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE (LGPL) as |
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# published by the Free Software Foundation, either version 3 of the |
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# License, or (at your option) any later version. |
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# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (<https://www.cybrosys.com>) |
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# |
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# You can modify it under the terms of the GNU LESSER |
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# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
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# |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU LESSER GENERAL PUBLIC LICENSE for more details. |
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# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
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# |
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# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
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# along with this program. If not, see <https://www.gnu.org/licenses/>. |
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# (LGPL v3) along with this program. |
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# If not, see <http://www.gnu.org/licenses/>. |
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# |
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############################################################################### |
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################################################################################ |
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from . import controllers |
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from . import models |
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@ -0,0 +1,22 @@ |
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# -*- coding: utf-8 -*- |
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################################################################################ |
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# |
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# Cybrosys Technologies Pvt. Ltd. |
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# |
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# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (<https://www.cybrosys.com>) |
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# |
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# You can modify it under the terms of the GNU LESSER |
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# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
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# |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
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# |
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# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
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# (LGPL v3) along with this program. |
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# If not, see <http://www.gnu.org/licenses/>. |
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# |
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################################################################################ |
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from . import pos_face_recognition |
@ -0,0 +1,38 @@ |
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# -*- coding: utf-8 -*- |
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################################################################################ |
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# |
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# Cybrosys Technologies Pvt. Ltd. |
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# |
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# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (<https://www.cybrosys.com>) |
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# |
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# You can modify it under the terms of the GNU LESSER |
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# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
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# |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
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# |
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# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
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# (LGPL v3) along with this program. |
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# If not, see <http://www.gnu.org/licenses/>. |
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# |
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################################################################################ |
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from odoo import http |
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from odoo.http import request |
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class CashierImage(http.Controller): |
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""" |
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Defining class CashierImage |
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""" |
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@http.route('/cashier/image', type='json', auth='public') |
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def get_cashier_image(self, cashier_id): |
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""" |
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Function to get cashier image |
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:param cashier_id: |
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:return: |
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""" |
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cashier = request.env['hr.employee'].browse(cashier_id) |
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return cashier.image |
@ -1,7 +1,13 @@ |
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## Module <pos_face_recognition> |
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|
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#### 31.10.2023 |
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#### Version 16.0.1.0.0 |
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#### 24.06.2024 |
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#### Version 15.0.1.0.0 |
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#### ADD |
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|
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- Initial commit for Pos Face Recognition |
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|
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#### 23.10.2024 |
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#### Version 16.0.1.1.1 |
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#### UPDT |
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- bug fix in face recognition.Converted functionality from Python to JS. |
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@ -1,22 +1,22 @@ |
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# -*- coding: utf-8 -*- |
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############################################################################### |
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################################################################################ |
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# |
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# Cybrosys Technologies Pvt. Ltd. |
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# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (odoo@cybrosys.com) |
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# |
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# This program is free software: you can modify |
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# it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE (LGPL) as |
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# published by the Free Software Foundation, either version 3 of the |
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# License, or (at your option) any later version. |
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# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (<https://www.cybrosys.com>) |
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# |
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# You can modify it under the terms of the GNU LESSER |
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# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
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# |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU LESSER GENERAL PUBLIC LICENSE for more details. |
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# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
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# |
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# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
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# along with this program. If not, see <https://www.gnu.org/licenses/>. |
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# (LGPL v3) along with this program. |
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# If not, see <http://www.gnu.org/licenses/>. |
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# |
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############################################################################### |
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################################################################################ |
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from . import hr_employee |
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@ -1,88 +1,31 @@ |
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# -*- coding: utf-8 -*- |
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############################################################################### |
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################################################################################ |
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# |
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# Cybrosys Technologies Pvt. Ltd. |
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# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (odoo@cybrosys.com) |
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# |
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# This program is free software: you can modify |
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# it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE (LGPL) as |
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# published by the Free Software Foundation, either version 3 of the |
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# License, or (at your option) any later version. |
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# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
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# Author: Fathima Mazlin AM (<https://www.cybrosys.com>) |
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# |
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# You can modify it under the terms of the GNU LESSER |
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# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
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# |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU LESSER GENERAL PUBLIC LICENSE for more details. |
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# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
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# |
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# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
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# along with this program. If not, see <https://www.gnu.org/licenses/>. |
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# (LGPL v3) along with this program. |
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# If not, see <http://www.gnu.org/licenses/>. |
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# |
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############################################################################### |
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import base64 |
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import cv2 |
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import face_recognition |
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from io import BytesIO |
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import numpy as np |
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from PIL import Image |
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import time |
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from odoo import api, models |
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################################################################################ |
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from odoo import fields, models |
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class HrEmployee(models.Model): |
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""" |
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Inheriting hr_employee model to add a image field |
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""" |
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_inherit = 'hr.employee' |
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"""For comparing image """ |
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|
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@api.model |
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def camera_open(self, kwargs): |
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"""Capture the image from webcam and compare |
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with already saved image""" |
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cap = cv2.VideoCapture(0) # 0 is the index of the default camera |
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image = self.env['hr.employee'].browse(kwargs["id"]).image_1920 |
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binary_data = base64.b64decode(image) |
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image_bytes = BytesIO(binary_data) |
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pil_image = Image.open(image_bytes) |
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np_image = np.array(pil_image) |
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img_saved = cv2.cvtColor(np_image, cv2.COLOR_BGR2RGB) |
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encode_image_saved = face_recognition.face_encodings(img_saved) |
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face_recognized = 0 |
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start_time = time.time() |
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camera_time = 0 |
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login_now = 0 |
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while True: |
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ret, frame = cap.read() # Read a frame from the camera |
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cv2.imshow('frame', frame) # Display the frame |
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imgs = cv2.resize(frame, (0, 0), None, 0.25, 0.25) |
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imgs = cv2.cvtColor(imgs, cv2.COLOR_BGR2RGB) |
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face_current_frame = face_recognition.face_locations(imgs) |
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encode_current_frame = face_recognition.face_encodings( |
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imgs, |
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face_current_frame) |
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for encodeFace, faceLoc in zip(encode_current_frame, |
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face_current_frame): |
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matches1 = face_recognition.compare_faces(encode_image_saved, |
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encodeFace) |
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face_distance = face_recognition.face_distance( |
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encode_image_saved, |
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encodeFace) |
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match_index = np.argmin(face_distance) |
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elapsed_time = time.time() - start_time |
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if matches1[match_index]: |
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face_recognized = 1 |
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if elapsed_time > 6: |
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login_now = 1 |
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cap.release() |
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break |
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if login_now == 1: |
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break |
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if camera_time < 40 and login_now == 0: |
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camera_time = camera_time + 1 |
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else: |
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cap.release() |
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cv2.destroyAllWindows() |
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break |
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if cv2.waitKey(1) == ord('q'): |
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break |
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cap.release() # Release the camera |
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cv2.destroyAllWindows() # Close all windows |
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return face_recognized |
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image = fields.Binary(string="Image", help="Add image for POS face login") |
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/** @odoo-module **/ |
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const LoginScreen = require('pos_hr.LoginScreen'); |
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import { patch } from "@web/core/utils/patch"; |
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const {_t} = require('web.core'); |
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const {useService} = require("@web/core/utils/hooks"); |
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import { onMounted, useRef, useState } from "@odoo/owl"; |
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var ajax = require('web.ajax'); |
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const {Gui} = require('point_of_sale.Gui'); |
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const {posbus} = require('point_of_sale.utils'); |
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const MODEL_URL = '/pos_face_recognition/static/src/js/weights'; |
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faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL) |
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faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL) |
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faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL) |
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faceapi.nets.tinyFaceDetector.load(MODEL_URL), |
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faceapi.nets.faceLandmark68TinyNet.load(MODEL_URL), |
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faceapi.nets.faceExpressionNet.load(MODEL_URL), |
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faceapi.nets.ageGenderNet.load(MODEL_URL) |
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|
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// patching Login Screen
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patch(LoginScreen.prototype, 'pos_hr/static/src/js/LoginScreen.js', { |
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// setup function
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setup() { |
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this._super.apply(this, arguments); |
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this.root = useRef("LoginRoot"); |
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this.ImageRoot = useRef("ImageRoot"); |
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this.faceMatcher = null; |
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}, |
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// overriding back function
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async back() { |
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await this.loadImage() |
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}, |
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// Function to loadimage
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async loadImage() { |
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var cashier_id = this.env.pos.get_cashier().id |
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await ajax.jsonRpc('/cashier/image/', 'call', { |
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cashier_id: cashier_id, |
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}).then(async data => { |
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if (data) { |
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this.have_image = data |
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const employee_image = this.ImageRoot.el; |
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employee_image.src = "data:image/jpeg;base64," + data |
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await this.startWebcam() |
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} else { |
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await Gui.showPopup("ErrorPopup", { |
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'title': _t('Authentication failed'), |
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'body': _t('Selected cashier have no image..'), |
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}); |
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location.reload(); |
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} |
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}); |
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}, |
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// Function to start webcam
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startWebcam() { |
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const video = this.root.el.querySelector('#video') |
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navigator.mediaDevices.getUserMedia( |
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{video: true, audio: false} |
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).then((stream) => { |
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video.srcObject = stream |
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}).catch((error) => { |
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console.error(error) |
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}).then(this.faceRecognition(video)) |
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}, |
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// Function to get the descriptions of cashier image
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async getLabeledFaceDescriptions() { |
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const employee_image = this.ImageRoot.el; |
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const detections = await faceapi |
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.detectSingleFace(employee_image) |
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.withFaceLandmarks() |
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.withFaceExpressions() |
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.withFaceDescriptor(); |
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return detections |
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}, |
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// Function which compares the webcam image with cashier image
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async faceRecognition(video) { |
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const labeledFaceDescriptors = await this.getLabeledFaceDescriptions() |
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if (!this.faceMatcher) { |
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this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]); |
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} |
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this.root.el.querySelector('.screen-login').style.zIndex = -1 |
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video.addEventListener('play', () => { |
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const canvas = faceapi.createCanvasFromMedia(video); |
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document.body.append(canvas); |
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const displaySize = {width: video.width, height: video.height} |
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faceapi.matchDimensions(canvas, displaySize) |
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setInterval(async () => { |
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const detections = await faceapi |
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.detectAllFaces(video) |
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.withFaceLandmarks() |
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.withFaceExpressions() |
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.withFaceDescriptors(); |
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detections.forEach((detection) => { |
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const match = this.faceMatcher.findBestMatch(detection.descriptor); |
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if (match._distance < 0.4) { // Adjust threshold as needed
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const modal = this.root.el.querySelector('#WebCamModal'); |
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if (modal) { |
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modal.style.display = 'none'; |
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this.props.resolve({ |
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confirmed: false, |
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payload: false |
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}); |
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this.trigger('close-temp-screen'); |
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this.env.pos.hasLoggedIn = true; |
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this.env.posbus.trigger('start-cash-control'); |
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video.srcObject.getTracks().forEach(track => track.stop()); |
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canvas.remove(); |
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} |
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} else { |
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Gui.showPopup("ErrorPopup", { |
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'title': _t('Unauthorized Access Detected'), |
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'body': _t('Face Recognition Failed..'), |
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}); |
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location.reload(); |
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} |
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}); |
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}, 300); |
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}) |
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}, |
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}); |
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@ -1,64 +0,0 @@ |
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odoo.define('pos_face_recognition.pos_face_recognition', function (require) { |
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'use strict'; |
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const LoginScreen = require('pos_hr.LoginScreen'); |
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const Registries = require('point_of_sale.Registries'); |
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const SelectCashierMixin = require('pos_hr.SelectCashierMixin'); |
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const rpc = require('web.rpc'); |
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const FaceRecognition = (LoginScreen) => |
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class extends LoginScreen { |
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/** |
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For camera open |
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**/ |
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async cameraOpen(employee) { |
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var self= this |
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await rpc.query({ |
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model:'hr.employee', |
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method:'camera_open', |
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args: [employee] |
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}).then( function(data){ |
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if (data == 1) { |
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self.env.pos.set_cashier(employee); |
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self.props.resolve({ confirmed: true, payload: true }); |
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self.trigger('close-temp-screen'); |
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} else { |
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self.showPopup('ErrorPopup',{ |
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'title': "Unauthorized Access detected", |
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'body': "Face Recognition Failed", |
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}); |
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return; |
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} |
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}); |
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} |
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/** |
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For selecting the cashier |
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**/ |
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async selectCashier() { |
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if (this.env.pos.config.module_pos_hr) { |
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const employeesList = this.env.pos.employees |
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.filter((employee) => employee.id !== |
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this.env.pos.get_cashier().id).map((employee) => { |
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return { |
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id: employee.id, |
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item: employee, |
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label: employee.name, |
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isSelected: false, |
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}; |
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}); |
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let {confirmed, payload: employee} = |
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await this.showPopup('SelectionPopup', { |
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title: this.env._t('Change Cashier'), |
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list: employeesList, |
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}); |
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if (!confirmed) { |
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return; |
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} |
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if (employee) { |
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employee = await this.cameraOpen(employee); |
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} |
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return employee; |
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} |
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} |
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} |
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Registries.Component.extend(LoginScreen, FaceRecognition); |
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return FaceRecognition; |
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}); |
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[ |
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{ |
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"weights": [ |
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{ |
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"name": "entry_flow/conv_in/filters", |
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"shape": [ |
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3, |
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3, |
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3, |
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32 |
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], |
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"dtype": "float32", |
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"quantization": { |
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"dtype": "uint8", |
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"scale": 0.005431825039433498, |
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"min": -0.7441600304023892 |
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} |
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}, |
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{ |
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"name": "entry_flow/conv_in/bias", |
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"shape": [ |
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32 |
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], |
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"dtype": "float32" |
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}, |
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{ |
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"name": "entry_flow/reduction_block_0/separable_conv0/depthwise_filter", |
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"shape": [ |
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3, |
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3, |
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32, |
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1 |
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], |
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"dtype": "float32", |
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"quantization": { |
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"dtype": "uint8", |
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"scale": 0.005691980614381678, |
|||
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|||
"name": "conv1/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
16, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.004001977630690033, |
|||
"min": -0.5042491814669441 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv1/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
16, |
|||
32 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.013836609615999109, |
|||
"min": -1.411334180831909 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv1/bias", |
|||
"shape": [ |
|||
32 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.0015159862590771096, |
|||
"min": -0.30926119685173037 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv2/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
32, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.002666276225856706, |
|||
"min": -0.317286870876948 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv2/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
32, |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.015265831292844286, |
|||
"min": -1.6792414422128714 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv2/bias", |
|||
"shape": [ |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.0020280554598453, |
|||
"min": -0.37113414915168985 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv3/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
64, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.006100742489683862, |
|||
"min": -0.8907084034938438 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv3/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
64, |
|||
128 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.016276211832083907, |
|||
"min": -2.0508026908425725 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv3/bias", |
|||
"shape": [ |
|||
128 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.003394414279975143, |
|||
"min": -0.7637432129944072 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv4/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
128, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.006716050119961009, |
|||
"min": -0.8059260143953211 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv4/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
128, |
|||
256 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.021875603993733724, |
|||
"min": -2.8875797271728514 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv4/bias", |
|||
"shape": [ |
|||
256 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.0041141652009066415, |
|||
"min": -0.8187188749804216 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv5/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
256, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.008423839597141042, |
|||
"min": -0.9013508368940915 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv5/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
256, |
|||
512 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.030007277283014035, |
|||
"min": -3.8709387695088107 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv5/bias", |
|||
"shape": [ |
|||
512 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.008402082966823203, |
|||
"min": -1.4871686851277068 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv8/filters", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
512, |
|||
25 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.028336129469030042, |
|||
"min": -4.675461362389957 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv8/bias", |
|||
"shape": [ |
|||
25 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.002268134028303857, |
|||
"min": -0.41053225912299807 |
|||
} |
|||
} |
|||
], |
|||
"paths": [ |
|||
"tiny_face_detector_model-shard1" |
|||
] |
|||
} |
|||
] |
@ -0,0 +1,36 @@ |
|||
<?xml version="1.0" encoding="UTF-8"?> |
|||
<templates xml:space="preserve"> |
|||
<!-- Replacing LoginScreen to add a modal--> |
|||
<t t-inherit="pos_hr.LoginScreen" t-inherit-mode="extension"> |
|||
<xpath expr="//div[hasclass('login-overlay')]" position="replace"> |
|||
<div class="login-overlay" t-ref="LoginRoot"> |
|||
<div id="WebCamModal" |
|||
style="display: block; margin-top: 250px; margin-left: 780px; left: 0; top: 260px; width: 500px; background-color: transparent"> |
|||
<div class="container" style="z-index: 1"> |
|||
<video id="video" width="400" height="400" autoplay="" |
|||
muted=""/> |
|||
<img id="employee_image" t-ref="ImageRoot" |
|||
style="visibility: hidden; height: 10px; width: 10px"/> |
|||
</div> |
|||
</div> |
|||
<div class="screen-login"> |
|||
<div class="login-title"><small>Log in to </small> |
|||
<t t-esc="shopName" /> |
|||
</div> |
|||
<div class="login-body"> |
|||
<span class="login-element"> |
|||
<img class="login-barcode-img" |
|||
src="/point_of_sale/static/img/barcode.png" /> |
|||
<div class="login-barcode-text">Scan your badge</div> |
|||
</span> |
|||
<span class="login-or">or</span> |
|||
<span class="login-element"> |
|||
<button class="login-button select-cashier" |
|||
t-on-click="() => this.selectCashier()">Select Cashier</button> |
|||
</span> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</xpath> |
|||
</t> |
|||
</templates> |
@ -0,0 +1,14 @@ |
|||
<?xml version="1.0" encoding="utf-8"?> |
|||
<odoo> |
|||
<!-- inherit hr.employee view--> |
|||
<record id="view_employee_form" model="ir.ui.view"> |
|||
<field name="name">hr.employee.view.form.inherit.pos.face.recognition</field> |
|||
<field name="model">hr.employee</field> |
|||
<field name="inherit_id" ref="hr.view_employee_form"/> |
|||
<field name="arch" type="xml"> |
|||
<xpath expr="//field[@name='pin']" position="after"> |
|||
<field name="image"/> |
|||
</xpath> |
|||
</field> |
|||
</record> |
|||
</odoo> |
Loading…
Reference in new issue