@ -0,0 +1,46 @@ |
|||||
|
.. image:: https://img.shields.io/badge/license-LGPL--3-green.svg |
||||
|
:target: https://www.gnu.org/licenses/lgpl-3.0-standalone.html |
||||
|
:alt: License: LGPL-3 |
||||
|
|
||||
|
Pos Face Recognition |
||||
|
==================== |
||||
|
This module helps you to login pos session by face recognition |
||||
|
|
||||
|
Configuration |
||||
|
============= |
||||
|
* No additional configuration required |
||||
|
|
||||
|
Company |
||||
|
------- |
||||
|
* `Cybrosys Techno Solutions <https://cybrosys.com/>`__ |
||||
|
|
||||
|
License |
||||
|
------- |
||||
|
General Public License, Version 3 (LGPL v3). |
||||
|
(http://www.gnu.org/licenses/lgpl-3.0-standalone.html) |
||||
|
|
||||
|
Credits |
||||
|
------- |
||||
|
Developer: (V15) Bhagyadev KP |
||||
|
Contact: odoo@cybrosys.com |
||||
|
|
||||
|
Contacts |
||||
|
-------- |
||||
|
* Mail Contact : odoo@cybrosys.com |
||||
|
* Website : https://cybrosys.com |
||||
|
|
||||
|
Bug Tracker |
||||
|
----------- |
||||
|
Bugs are tracked on GitHub Issues. In case of trouble, please check there if your issue has already been reported. |
||||
|
|
||||
|
Maintainer |
||||
|
========== |
||||
|
.. image:: https://cybrosys.com/images/logo.png |
||||
|
:target: https://cybrosys.com |
||||
|
|
||||
|
This module is maintained by Cybrosys Technologies. |
||||
|
For support and more information, please visit `Our Website <https://cybrosys.com/>`__ |
||||
|
|
||||
|
Further information |
||||
|
=================== |
||||
|
HTML Description: `<static/description/index.html>`__ |
@ -0,0 +1,25 @@ |
|||||
|
# -*- coding: utf-8 -*- |
||||
|
################################################################################ |
||||
|
# |
||||
|
# Cybrosys Technologies Pvt. Ltd. |
||||
|
# |
||||
|
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
||||
|
# Author: Bhagyadev KP (<https://www.cybrosys.com>) |
||||
|
# |
||||
|
# You can modify it under the terms of the GNU LESSER |
||||
|
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
||||
|
# |
||||
|
# This program is distributed in the hope that it will be useful, |
||||
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
||||
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
||||
|
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
||||
|
# |
||||
|
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
||||
|
# (LGPL v3) along with this program. |
||||
|
# If not, see <http://www.gnu.org/licenses/>. |
||||
|
# |
||||
|
################################################################################ |
||||
|
from . import controllers |
||||
|
from . import models |
||||
|
|
||||
|
|
@ -0,0 +1,52 @@ |
|||||
|
# -*- coding: utf-8 -*- |
||||
|
################################################################################ |
||||
|
# |
||||
|
# Cybrosys Technologies Pvt. Ltd. |
||||
|
# |
||||
|
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
||||
|
# Author: Bhagyadev KP (<https://www.cybrosys.com>) |
||||
|
# |
||||
|
# You can modify it under the terms of the GNU LESSER |
||||
|
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
||||
|
# |
||||
|
# This program is distributed in the hope that it will be useful, |
||||
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
||||
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
||||
|
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
||||
|
# |
||||
|
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
||||
|
# (LGPL v3) along with this program. |
||||
|
# If not, see <http://www.gnu.org/licenses/>. |
||||
|
# |
||||
|
################################################################################ |
||||
|
{ |
||||
|
'name': 'Pos Face Recognition', |
||||
|
'version': '15.0.1.0.0', |
||||
|
'category': 'Point of Sales,Productivity', |
||||
|
'summary': 'User can login pos session by face recognition method', |
||||
|
'description': 'User can login pos session by face recognition ' |
||||
|
'method.If any unauthorized login is detected a warning ' |
||||
|
'message is arise.', |
||||
|
'author': 'Cybrosys Techno Solutions', |
||||
|
'company': 'Cybrosys Techno Solutions', |
||||
|
'maintainer': 'Cybrosys Techno Solutions', |
||||
|
'website': 'https://www.cybrosys.com', |
||||
|
'depends': ['point_of_sale', 'pos_hr'], |
||||
|
'data': [ |
||||
|
'views/hr_employee_view.xml' |
||||
|
], |
||||
|
'assets': { |
||||
|
'point_of_sale.assets': [ |
||||
|
'pos_face_recognition/static/src/js/face-api.min.js', |
||||
|
'pos_face_recognition/static/src/js/LoginScreen.js', |
||||
|
], |
||||
|
'web.assets_qweb': [ |
||||
|
'pos_face_recognition/static/src/xml/**/*', |
||||
|
], |
||||
|
}, |
||||
|
'images': ['static/description/banner.png'], |
||||
|
'license': 'LGPL-3', |
||||
|
'installable': True, |
||||
|
'auto_install': False, |
||||
|
'application': False, |
||||
|
} |
@ -0,0 +1,22 @@ |
|||||
|
# -*- coding: utf-8 -*- |
||||
|
################################################################################ |
||||
|
# |
||||
|
# Cybrosys Technologies Pvt. Ltd. |
||||
|
# |
||||
|
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
||||
|
# Author: Bhagyadev KP (<https://www.cybrosys.com>) |
||||
|
# |
||||
|
# You can modify it under the terms of the GNU LESSER |
||||
|
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
||||
|
# |
||||
|
# This program is distributed in the hope that it will be useful, |
||||
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
||||
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
||||
|
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
||||
|
# |
||||
|
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
||||
|
# (LGPL v3) along with this program. |
||||
|
# If not, see <http://www.gnu.org/licenses/>. |
||||
|
# |
||||
|
################################################################################ |
||||
|
from . import pos_face_recognition |
@ -0,0 +1,38 @@ |
|||||
|
# -*- coding: utf-8 -*- |
||||
|
################################################################################ |
||||
|
# |
||||
|
# Cybrosys Technologies Pvt. Ltd. |
||||
|
# |
||||
|
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
||||
|
# Author: Bhagyadev KP (<https://www.cybrosys.com>) |
||||
|
# |
||||
|
# You can modify it under the terms of the GNU LESSER |
||||
|
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
||||
|
# |
||||
|
# This program is distributed in the hope that it will be useful, |
||||
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
||||
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
||||
|
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
||||
|
# |
||||
|
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
||||
|
# (LGPL v3) along with this program. |
||||
|
# If not, see <http://www.gnu.org/licenses/>. |
||||
|
# |
||||
|
################################################################################ |
||||
|
from odoo import http |
||||
|
from odoo.http import request |
||||
|
|
||||
|
|
||||
|
class CashierImage(http.Controller): |
||||
|
""" |
||||
|
Defining class CashierImage |
||||
|
""" |
||||
|
@http.route('/cashier/image', type='json', auth='public') |
||||
|
def get_cashier_image(self, cashier_id): |
||||
|
""" |
||||
|
Function to get cashier image |
||||
|
:param cashier_id: |
||||
|
:return: |
||||
|
""" |
||||
|
cashier = request.env['hr.employee'].browse(cashier_id) |
||||
|
return cashier.image |
@ -0,0 +1,7 @@ |
|||||
|
## Module <pos_face_recognition> |
||||
|
|
||||
|
#### 24.06.2024 |
||||
|
#### Version 15.0.1.0.0 |
||||
|
#### ADD |
||||
|
|
||||
|
- Initial commit for Pos Face Recognition |
@ -0,0 +1,22 @@ |
|||||
|
# -*- coding: utf-8 -*- |
||||
|
################################################################################ |
||||
|
# |
||||
|
# Cybrosys Technologies Pvt. Ltd. |
||||
|
# |
||||
|
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
||||
|
# Author: Bhagyadev KP (<https://www.cybrosys.com>) |
||||
|
# |
||||
|
# You can modify it under the terms of the GNU LESSER |
||||
|
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
||||
|
# |
||||
|
# This program is distributed in the hope that it will be useful, |
||||
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
||||
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
||||
|
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
||||
|
# |
||||
|
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
||||
|
# (LGPL v3) along with this program. |
||||
|
# If not, see <http://www.gnu.org/licenses/>. |
||||
|
# |
||||
|
################################################################################ |
||||
|
from . import hr_employee |
@ -0,0 +1,31 @@ |
|||||
|
# -*- coding: utf-8 -*- |
||||
|
################################################################################ |
||||
|
# |
||||
|
# Cybrosys Technologies Pvt. Ltd. |
||||
|
# |
||||
|
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) |
||||
|
# Author: Bhagyadev KP (<https://www.cybrosys.com>) |
||||
|
# |
||||
|
# You can modify it under the terms of the GNU LESSER |
||||
|
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3. |
||||
|
# |
||||
|
# This program is distributed in the hope that it will be useful, |
||||
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of |
||||
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
||||
|
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. |
||||
|
# |
||||
|
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE |
||||
|
# (LGPL v3) along with this program. |
||||
|
# If not, see <http://www.gnu.org/licenses/>. |
||||
|
# |
||||
|
################################################################################ |
||||
|
from odoo import fields, models |
||||
|
|
||||
|
|
||||
|
class HrEmployee(models.Model): |
||||
|
""" |
||||
|
Inheriting hr_employee model to add a image field |
||||
|
""" |
||||
|
_inherit = 'hr.employee' |
||||
|
|
||||
|
image = fields.Binary(string="Image", help="Add image for POS face login") |
After Width: | Height: | Size: 3.6 KiB |
After Width: | Height: | Size: 310 B |
After Width: | Height: | Size: 1.3 KiB |
After Width: | Height: | Size: 1.4 KiB |
After Width: | Height: | Size: 576 B |
After Width: | Height: | Size: 733 B |
After Width: | Height: | Size: 911 B |
After Width: | Height: | Size: 1.1 KiB |
After Width: | Height: | Size: 1.2 KiB |
After Width: | Height: | Size: 3.4 KiB |
After Width: | Height: | Size: 673 B |
After Width: | Height: | Size: 878 B |
After Width: | Height: | Size: 653 B |
After Width: | Height: | Size: 905 B |
After Width: | Height: | Size: 839 B |
After Width: | Height: | Size: 427 B |
After Width: | Height: | Size: 627 B |
After Width: | Height: | Size: 1.2 KiB |
After Width: | Height: | Size: 988 B |
After Width: | Height: | Size: 1.2 KiB |
After Width: | Height: | Size: 1.5 KiB |
After Width: | Height: | Size: 1.1 KiB |
After Width: | Height: | Size: 1.9 KiB |
After Width: | Height: | Size: 1.1 KiB |
After Width: | Height: | Size: 2.1 KiB |
After Width: | Height: | Size: 4.4 KiB |
After Width: | Height: | Size: 589 B |
After Width: | Height: | Size: 3.4 KiB |
After Width: | Height: | Size: 1.7 KiB |
After Width: | Height: | Size: 2.3 KiB |
After Width: | Height: | Size: 967 B |
After Width: | Height: | Size: 1.6 KiB |
After Width: | Height: | Size: 3.8 KiB |
After Width: | Height: | Size: 5.0 KiB |
After Width: | Height: | Size: 38 KiB |
After Width: | Height: | Size: 40 KiB |
After Width: | Height: | Size: 38 KiB |
After Width: | Height: | Size: 38 KiB |
After Width: | Height: | Size: 52 KiB |
After Width: | Height: | Size: 40 KiB |
After Width: | Height: | Size: 167 KiB |
After Width: | Height: | Size: 76 KiB |
After Width: | Height: | Size: 174 KiB |
After Width: | Height: | Size: 77 KiB |
After Width: | Height: | Size: 287 KiB |
After Width: | Height: | Size: 190 KiB |
After Width: | Height: | Size: 314 KiB |
After Width: | Height: | Size: 113 KiB |
After Width: | Height: | Size: 168 KiB |
After Width: | Height: | Size: 46 KiB |
After Width: | Height: | Size: 7.7 KiB |
@ -0,0 +1,635 @@ |
|||||
|
<div style="background-color: #714B67; height: 810px; width: 100%; padding: 15px; position: relative;"> |
||||
|
<!-- TITLE BAR --> |
||||
|
<div class="d-flex align-items-center justify-content-between" |
||||
|
style="border-bottom: 1px solid #875A7B; padding: 15px; display: flex; justify-content: space-between; align-items: center;"> |
||||
|
<img src="assets/misc/cybrosys-logo.png" width="42" height="42" |
||||
|
style="width: 42px; height: 42px;"/> |
||||
|
<div> |
||||
|
<div style="color: #7C7BAD; font-size: 14px; font-family: 'Montserrat', sans-serif; font-weight: bold; background-color: white; display: inline-block; padding: 3px 10px; border-radius: 50px;" |
||||
|
class="mr-2"> |
||||
|
<i class="fa fa-check mr-1"></i>Community |
||||
|
</div> |
||||
|
<div style="color: #875A7B; font-size: 14px; font-family: 'Montserrat', sans-serif; font-weight: bold; background-color: white; display: inline-block; padding: 3px 10px; border-radius: 50px;" |
||||
|
class="mr-2"> |
||||
|
<i class="fa fa-check mr-1"></i>Enterprise |
||||
|
</div> |
||||
|
<div style="color: #017E84; font-size: 14px; font-family: 'Montserrat', sans-serif; font-weight: bold; background-color: white; display: inline-block; padding: 3px 10px; border-radius: 50px;" |
||||
|
class="mr-2"> |
||||
|
<i class="fa fa-check mr-1"></i>Odoo sh |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- END OF TITLE BAR --> |
||||
|
<div class="container"> |
||||
|
<div class="row"> |
||||
|
<div class="col-sm-12 col-md-12 col-lg-12"> |
||||
|
<!-- APP HERO --> |
||||
|
<h1 style="color: #FFFFFF; font-weight: bolder; font-size: 50px; text-align: center; margin-top: 50px;">Pos Face Recognition</h1> |
||||
|
<p style="color:#FFFFFF; padding: 8px 15px; text-align: center; font-size: 24px;">POS Session Login by Face Recognition.</p> |
||||
|
<!-- END OF APP HERO --> |
||||
|
<img src="./assets/screenshots/hero.gif" class="img-responsive" |
||||
|
width="100%" height="auto"/> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- NAVIGATION SECTION --> |
||||
|
<div class="d-flex align-items-center" |
||||
|
style="border-bottom: 2px solid #714B67; padding: 15px 0px; margin-top: 300px;"> |
||||
|
<div class="d-flex justify-content-center align-items-center mr-2" |
||||
|
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;"> |
||||
|
<img src="assets/misc/compass.png"/> |
||||
|
</div> |
||||
|
<h2 class="mt-2" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;"> |
||||
|
Explore This |
||||
|
Module</h2> |
||||
|
</div> |
||||
|
<div class="row my-4" style="font-family: 'Montserrat', sans-serif;"> |
||||
|
<div class="col-sm-12 col-md-6 my-3"> |
||||
|
<a href="#overview"> |
||||
|
<div class="d-flex justify-content-between align-items-center" |
||||
|
style="background-color: #f5f5f5; padding: 30px; width: 100%;"> |
||||
|
<div> |
||||
|
<span style="color: #714B67; font-size: 24px; font-weight: 500; display: block;">Overview</span> |
||||
|
<span |
||||
|
style="color: #714B67; font-size: 16px; font-weight: 400; color:#282F33; display: block;">Learn |
||||
|
more about this |
||||
|
module</span> |
||||
|
</div> |
||||
|
<img src="assets/misc/right-arrow.png" width="36" height="36"/> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
<div class="col-sm-12 col-md-6 my-3"> |
||||
|
<a href="#features"> |
||||
|
<div class="d-flex justify-content-between align-items-center" |
||||
|
style="background-color: #f5f5f5; padding: 30px; width: 100%;"> |
||||
|
<div> |
||||
|
<span style="color: #714B67; font-size: 24px; font-weight: 500; display: block;">Features</span> |
||||
|
<span |
||||
|
style="color: #714B67; font-size: 16px; font-weight: 400; color:#282F33; display: block;">View |
||||
|
features of this |
||||
|
module</span> |
||||
|
</div> |
||||
|
<img src="assets/misc/right-arrow.png" width="36" height="36"/> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
<div class="col-sm-12 col-md-6 my-3"> |
||||
|
<a href="#screenshots"> |
||||
|
<div class="d-flex justify-content-between align-items-center" |
||||
|
style="background-color: #f5f5f5; padding: 30px; width: 100%;"> |
||||
|
<div> |
||||
|
<span style="color: #714B67; font-size: 24px; font-weight: 500; display: block;">Screenshots</span> |
||||
|
<span |
||||
|
style="color: #714B67; font-size: 16px; font-weight: 400; color:#282F33; display: block;">View |
||||
|
screenshots for this |
||||
|
module</span> |
||||
|
</div> |
||||
|
<img src="assets/misc/right-arrow.png" width="36" height="36"/> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- END OF NAVIGATION SECTION --> |
||||
|
|
||||
|
<!-- OVERVIEW SECTION --> |
||||
|
<div class="d-flex align-items-center" |
||||
|
style="border-bottom: 2px solid #714B67; padding: 15px 0px;" id="overview"> |
||||
|
<div class="d-flex justify-content-center align-items-center mr-2" |
||||
|
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;"> |
||||
|
<img src="assets/misc/pie-chart.png"/> |
||||
|
</div> |
||||
|
<h2 class="mt-2" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;"> |
||||
|
Overview |
||||
|
</h2> |
||||
|
</div> |
||||
|
<div class="row" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-weight: 400; font-size: 14px; line-height: 200%;"> |
||||
|
<div class="col-sm-12 py-4">This module helps you to login pos session by face recognition. |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- END OF OVERVIEW SECTION --> |
||||
|
|
||||
|
<!-- FEATURES SECTION --> |
||||
|
<div class="d-flex align-items-center" |
||||
|
style="border-bottom: 2px solid #714B67; padding: 15px 0px;" id="features"> |
||||
|
<div class="d-flex justify-content-center align-items-center mr-2" |
||||
|
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;"> |
||||
|
<img src="assets/misc/features.png"/> |
||||
|
</div> |
||||
|
<h2 class="mt-2" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;"> |
||||
|
Features |
||||
|
</h2> |
||||
|
</div> |
||||
|
<div class="row" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-weight: 400; font-size: 14px; line-height: 200%;"> |
||||
|
<div class="col-sm-12 col-md-6"> |
||||
|
<div class="d-flex align-items-center" |
||||
|
style="margin-top: 40px; margin-bottom: 40px"> |
||||
|
<img src="assets/misc/check-box.png" class="mr-2"/> |
||||
|
<span style="font-family: 'Montserrat', sans-serif; font-size: 18px; font-weight: bold;">Community Support.</span> |
||||
|
</div> |
||||
|
</div> |
||||
|
<div class="col-sm-12 col-md-6"> |
||||
|
<div class="d-flex align-items-center" |
||||
|
style="margin-top: 40px; margin-bottom: 40px"> |
||||
|
<img src="assets/misc/check-box.png" class="mr-2"/> |
||||
|
<span style="font-family: 'Montserrat', sans-serif; font-size: 18px; font-weight: bold;">Login by using face recognition.</span> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- END OF FEATURES SECTION --> |
||||
|
|
||||
|
<!-- SCREENSHOTS SECTION --> |
||||
|
<div class="d-flex align-items-center" |
||||
|
style="border-bottom: 2px solid #714B67; padding: 15px 0px;" |
||||
|
id="screenshots"> |
||||
|
<div class="d-flex justify-content-center align-items-center mr-2" |
||||
|
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;"> |
||||
|
<img src="assets/misc/pictures.png"/> |
||||
|
</div> |
||||
|
<h2 class="mt-2" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;"> |
||||
|
Screenshots |
||||
|
</h2> |
||||
|
</div> |
||||
|
<div class="row"> |
||||
|
<div class="col-sm-12"> |
||||
|
<div style="display: block; margin: 30px auto;"> |
||||
|
<p style="font-weight: 400; font-family: 'Montserrat', sans-serif; font-size: 14px;"> |
||||
|
Go to Employee module. Select the employee and add employee image on the field marked in the below image |
||||
|
</p> |
||||
|
<img src="assets/screenshots/1.png" class="img-thumbnail"> |
||||
|
</div> |
||||
|
<div class="col-lg-12 my-2"> |
||||
|
<p style="font-weight: 400; font-family: 'Montserrat', sans-serif; font-size: 14px;">Go to POS -> Dashboard -> Settings. Then Add the respective employees |
||||
|
</p> |
||||
|
<img src="assets/screenshots/2.png" |
||||
|
class="img-responsive img-thumbnail border" width="100%" |
||||
|
height="auto"/> |
||||
|
<img src="assets/screenshots/3.png" |
||||
|
class="img-responsive img-thumbnail border" width="100%" |
||||
|
height="auto"/> |
||||
|
</div> |
||||
|
<div style="display: block; margin: 30px auto;"> |
||||
|
<p style="font-weight: 400; font-family: 'Montserrat', sans-serif; font-size: 14px;"> |
||||
|
Go to POS dashboard and start a new session. |
||||
|
</p> |
||||
|
<img src="assets/screenshots/4.png" class="img-thumbnail"> |
||||
|
</div> |
||||
|
<div style="display: block; margin: 30px auto;"> |
||||
|
<p style="font-weight: 400; font-family: 'Montserrat', sans-serif; font-size: 14px;"> |
||||
|
click on select cashier. |
||||
|
</p> |
||||
|
<img src="assets/screenshots/5.png" class="img-thumbnail"> |
||||
|
</div> |
||||
|
<div style="display: block; margin: 30px auto;"> |
||||
|
<p style="font-weight: 400; font-family: 'Montserrat', sans-serif; font-size: 14px;"> |
||||
|
Select any cashier. Web camera will be opened . |
||||
|
</p> |
||||
|
<img src="assets/screenshots/6.png" class="img-thumbnail"> |
||||
|
<img src="assets/screenshots/7.png" class="img-thumbnail"> |
||||
|
</div> |
||||
|
<div style="display: block; margin: 30px auto;"> |
||||
|
<p style="font-weight: 400; font-family: 'Montserrat', sans-serif; font-size: 14px;"> |
||||
|
If face matches you will enter the POS session. |
||||
|
</p> |
||||
|
<img src="assets/screenshots/8.png" class="img-thumbnail"> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- END OF SCREENSHOTS SECTION --> |
||||
|
|
||||
|
<!-- RELATED PRODUCTS --> |
||||
|
<div class="row"> |
||||
|
<div class="col-lg-12 d-flex flex-column justify-content-center" |
||||
|
style="text-align: center; padding: 2.5rem 1rem !important;"> |
||||
|
<h2 style="color: #212529 !important;">Suggested Products</h2> |
||||
|
<hr style="border: 3px solid #714B67 !important; background-color: #714B67 !important; width: 80px !important; margin-bottom: 2rem !important;"/> |
||||
|
<div id="demo1" class="row carousel slide" data-ride="carousel"> |
||||
|
<!-- The slideshow --> |
||||
|
<div class="carousel-inner"> |
||||
|
<div class="carousel-item active" style="min-height:0px"> |
||||
|
<div class="col-xs-12 col-sm-4 col-md-4 mb16 mt16" |
||||
|
style="float:left"> |
||||
|
<a href="https://apps.odoo.com/apps/modules/15.0/pos_credit_limit/" |
||||
|
target="_blank"> |
||||
|
<div style="border-radius:10px"> |
||||
|
<img class="img img-responsive center-block" |
||||
|
style="border-top-left-radius:10px; border-top-right-radius:10px" |
||||
|
src="./assets/modules/l1.png"> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
<div class="col-xs-12 col-sm-4 col-md-4 mb16 mt16" |
||||
|
style="float:left"> |
||||
|
<a href="https://apps.odoo.com/apps/modules/15.0/pos_report_generator/" |
||||
|
target="_blank"> |
||||
|
<div style="border-radius:10px"> |
||||
|
<img class="img img-responsive center-block" |
||||
|
style="border-top-left-radius:10px; border-top-right-radius:10px" |
||||
|
src="./assets/modules/l2.png"> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
<div class="col-xs-12 col-sm-4 col-md-4 mb16 mt16" |
||||
|
style="float:left"> |
||||
|
<a href="https://apps.odoo.com/apps/modules/15.0/dashboard_pos/" |
||||
|
target="_blank"> |
||||
|
<div style="border-radius:10px"> |
||||
|
<img class="img img-responsive center-block" |
||||
|
style="border-top-left-radius:10px; border-top-right-radius:10px" |
||||
|
src="./assets/modules/l3.png"> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
</div> |
||||
|
<div class="carousel-item" style="min-height:0px"> |
||||
|
<div class="col-xs-12 col-sm-4 col-md-4 mb16 mt16" |
||||
|
style="float:left"> |
||||
|
<a href="https://apps.odoo.com/apps/modules/15.0/login_pos_direct/" |
||||
|
target="_blank"> |
||||
|
<div style="border-radius:10px"> |
||||
|
<img class="img img-responsive center-block" |
||||
|
style="border-top-left-radius:10px; border-top-right-radius:10px" |
||||
|
src="./assets/modules/l4.png"> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
<div class="col-xs-12 col-sm-4 col-md-4 mb16 mt16" |
||||
|
style="float:left"> |
||||
|
<a href="https://apps.odoo.com/apps/modules/15.0/pos_book_order/" |
||||
|
target="_blank"> |
||||
|
<div style="border-radius:10px"> |
||||
|
<img class="img img-responsive center-block" |
||||
|
style="border-top-left-radius:10px; border-top-right-radius:10px" |
||||
|
src="./assets/modules/l5.png"> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
<div class="col-xs-12 col-sm-4 col-md-4 mb16 mt16" |
||||
|
style="float:left"> |
||||
|
<a href="https://apps.odoo.com/apps/modules/15.0/multi_barcodes_pos/" |
||||
|
target="_blank"> |
||||
|
<div style="border-radius:10px"> |
||||
|
<img class="img img-responsive center-block" |
||||
|
style="border-top-left-radius:10px; border-top-right-radius:10px" |
||||
|
src="./assets/modules/l6.png"> |
||||
|
</div> |
||||
|
</a> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- Left and right controls --> |
||||
|
<a class="carousel-control-prev" href="#demo1" data-slide="prev" |
||||
|
style="left:-25px;width: 35px;color: #000;"> |
||||
|
<span class="carousel-control-prev-icon"> |
||||
|
<i class="fa fa-chevron-left" |
||||
|
style="font-size:24px"></i> |
||||
|
</span> |
||||
|
</a> |
||||
|
<a class="carousel-control-next" href="#demo1" data-slide="next" |
||||
|
style="right:-25px;width: 35px;color: #000;"> |
||||
|
<span class="carousel-control-next-icon"> |
||||
|
<i class="fa fa-chevron-right" |
||||
|
style="font-size:24px"></i> |
||||
|
</span> |
||||
|
</a> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- END OF RELATED PRODUCTS --> |
||||
|
|
||||
|
<!-- OUR SERVICES --> |
||||
|
|
||||
|
<div class="d-flex align-items-center" |
||||
|
style="border-bottom: 2px solid #714B67; padding: 15px 0px;"> |
||||
|
<div class="d-flex justify-content-center align-items-center mr-2" |
||||
|
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;"> |
||||
|
<img src="assets/misc/star.png"/> |
||||
|
</div> |
||||
|
<h2 class="mt-2" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;"> |
||||
|
Our Services |
||||
|
</h2> |
||||
|
</div> |
||||
|
|
||||
|
<div class="container my-5"> |
||||
|
<div class="row"> |
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #1dd1a1 !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/cogs.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Customization</h6> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #ff6b6b !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/wrench.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Implementation</h6> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #6462CD !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/lifebuoy.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Support</h6> |
||||
|
</div> |
||||
|
|
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #ffa801 !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/user.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Hire |
||||
|
Odoo |
||||
|
Developer</h6> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #54a0ff !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/puzzle.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Integration</h6> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #6d7680 !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/update.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Migration</h6> |
||||
|
</div> |
||||
|
|
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #786fa6 !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/consultation.png" |
||||
|
class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Consultancy</h6> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #f8a5c2 !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/training.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Implementation</h6> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-4 d-flex flex-column justify-content-center align-items-center my-4"> |
||||
|
<div class="d-flex justify-content-center align-items-center mx-3 my-3" |
||||
|
style="background-color: #e6be26 !important; border-radius: 15px !important; height: 80px; width: 80px;"> |
||||
|
<img src="assets/icons/license.png" class="img-responsive" |
||||
|
height="48px" width="48px"> |
||||
|
</div> |
||||
|
<h6 class="text-center" |
||||
|
style="font-family: Montserrat, 'sans-serif' !important; font-weight: bold;"> |
||||
|
Odoo |
||||
|
Licensing Consultancy</h6> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
</div> |
||||
|
|
||||
|
<!-- OUR INDUSTRIES --> |
||||
|
|
||||
|
<div class="d-flex align-items-center" |
||||
|
style="border-bottom: 2px solid #714B67; padding: 15px 0px;"> |
||||
|
<div class="d-flex justify-content-center align-items-center mr-2" |
||||
|
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;"> |
||||
|
<img src="assets/misc/corporate.png"/> |
||||
|
</div> |
||||
|
<h2 class="mt-2" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;"> |
||||
|
Our |
||||
|
Industries |
||||
|
</h2> |
||||
|
</div> |
||||
|
|
||||
|
<div class="container my-5"> |
||||
|
<div class="row"> |
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/trading-black.png" |
||||
|
class="img-responsive mb-3" height="48px" width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
Trading |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
Easily procure |
||||
|
and |
||||
|
sell your products</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/pos-black.png" |
||||
|
class="img-responsive mb-3" height="48px" width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
POS |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
Easy |
||||
|
configuration |
||||
|
and convivial experience</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/education-black.png" |
||||
|
class="img-responsive mb-3" height="48px" width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
Education |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
A platform for |
||||
|
educational management</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/manufacturing-black.png" |
||||
|
class="img-responsive mb-3" height="48px" |
||||
|
width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
Manufacturing |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
Plan, track and |
||||
|
schedule your operations</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/ecom-black.png" |
||||
|
class="img-responsive mb-3" height="48px" width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
E-commerce & Website |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
Mobile |
||||
|
friendly, |
||||
|
awe-inspiring product pages</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/service-black.png" |
||||
|
class="img-responsive mb-3" height="48px" width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
Service Management |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
Keep track of |
||||
|
services and invoice</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/restaurant-black.png" |
||||
|
class="img-responsive mb-3" height="48px" width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
Restaurant |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
Run your bar or |
||||
|
restaurant methodically</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
|
||||
|
<div class="col-lg-3"> |
||||
|
<div class="my-4 d-flex flex-column justify-content-center" |
||||
|
style="background-color: #f6f8f9 !important; border-radius: 0px; padding: 2rem !important; height: 250px !important;"> |
||||
|
<img src="assets/icons/hotel-black.png" |
||||
|
class="img-responsive mb-3" height="48px" width="48px"> |
||||
|
<h5 style="font-family: Montserrat, sans-serif !important; color: #000 !important; font-weight: bold;"> |
||||
|
Hotel Management |
||||
|
</h5> |
||||
|
<p style="font-family: Montserrat, sans-serif !important; font-size: 0.9rem !important;"> |
||||
|
An |
||||
|
all-inclusive |
||||
|
hotel management application</p> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- SUPPORT --> |
||||
|
<div class="d-flex align-items-center" |
||||
|
style="border-bottom: 2px solid #714B67; padding: 15px 0px;"> |
||||
|
<div class="d-flex justify-content-center align-items-center mr-2" |
||||
|
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;"> |
||||
|
<img src="assets/misc/customer-support.png"/> |
||||
|
</div> |
||||
|
<h2 class="mt-2" |
||||
|
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;"> |
||||
|
Support |
||||
|
</h2> |
||||
|
</div> |
||||
|
<div class="container mt-5"> |
||||
|
<div class="row"> |
||||
|
<div class="col-sm-12 col-md-6"> |
||||
|
<div style="background-color: #F6F8F9; padding: 30px; display: flex; align-items: center;"> |
||||
|
<div class="mr-4" |
||||
|
style="background-color: #714B67; display: inline-block; height: 70px; width: 70px; display: flex; align-items: center; justify-content: center;"> |
||||
|
<img src="assets/misc/support.png" height="48" |
||||
|
width="48" |
||||
|
style="width: 42px; height: 42px;"/> |
||||
|
</div> |
||||
|
<div> |
||||
|
<h4>Need Help?</h4> |
||||
|
<p style="line-height: 100%;">Got questions or need |
||||
|
help? |
||||
|
Get in touch.</p> |
||||
|
<a href="mailto:odoo@cybrosys.com"> |
||||
|
<p style="font-weight: 400; font-size: 28px; line-height: 80%; color: #714B67;"> |
||||
|
odoo@cybrosys.com</p> |
||||
|
</a> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<div class="col-sm-12 col-md-6"> |
||||
|
<div style="background-color: #F6F8F9; padding: 30px; display: flex; align-items: center;"> |
||||
|
<div class="mr-4" |
||||
|
style="background-color: #2AC44D; display: inline-block; height: 70px; width: 70px; display: flex; align-items: center; justify-content: center;"> |
||||
|
<img src="assets/misc/whatsapp.png" height="52" |
||||
|
width="52" |
||||
|
style="width: 52px; height: 52px;"/> |
||||
|
</div> |
||||
|
<div> |
||||
|
<h4>WhatsApp</h4> |
||||
|
<p style="line-height: 100%;">Say hi to us on |
||||
|
WhatsApp!</p> |
||||
|
<a href="https://api.whatsapp.com/send?phone=918606827707"> |
||||
|
<p style="font-weight: 400; font-size: 28px; line-height: 80%; color: #714B67;"> |
||||
|
+91 86068 |
||||
|
27707</p> |
||||
|
</a> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<div class="row"> |
||||
|
<div class="col-sm-12 my-5 d-flex justify-content-center align-items-center"> |
||||
|
<img src="assets/misc/logo.png" width="144" height="31" |
||||
|
style="width:144px; height: 31px; margin-top: 40px;"/> |
||||
|
</div> |
||||
|
</div> |
||||
|
</div> |
||||
|
<!-- END OF SUPPORT --> |
||||
|
</div> |
@ -0,0 +1,140 @@ |
|||||
|
odoo.define('pos_face_recognition.FaceLoginScreen', function (require) { |
||||
|
"use strict"; |
||||
|
const LoginScreen = require('pos_hr.LoginScreen'); |
||||
|
const {patch} = require('web.utils'); |
||||
|
const {_t} = require('web.core'); |
||||
|
const {useService} = require("@web/core/utils/hooks"); |
||||
|
const {useState} = owl.hooks; |
||||
|
const {useRef} = owl.hooks; |
||||
|
var ajax = require('web.ajax'); |
||||
|
const {Gui} = require('point_of_sale.Gui'); |
||||
|
const {posbus} = require('point_of_sale.utils'); |
||||
|
const MODEL_URL = '/pos_face_recognition/static/src/js/weights'; |
||||
|
faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL) |
||||
|
faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL) |
||||
|
faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL) |
||||
|
faceapi.nets.tinyFaceDetector.load(MODEL_URL), |
||||
|
faceapi.nets.faceLandmark68TinyNet.load(MODEL_URL), |
||||
|
faceapi.nets.faceExpressionNet.load(MODEL_URL), |
||||
|
faceapi.nets.ageGenderNet.load(MODEL_URL) |
||||
|
|
||||
|
// patching Login Screen
|
||||
|
patch(LoginScreen.prototype, 'pos_hr/static/src/js/LoginScreen.js', { |
||||
|
// setup function
|
||||
|
setup() { |
||||
|
// super.setup(...arguments);
|
||||
|
this.state = useState({ |
||||
|
imageUrl: false |
||||
|
}) |
||||
|
this.rpc = useService("rpc"); |
||||
|
this.root = useRef("LoginRoot"); |
||||
|
this.faceMatcher = null; |
||||
|
}, |
||||
|
|
||||
|
// overriding back function
|
||||
|
async back() { |
||||
|
await this.loadImage() |
||||
|
}, |
||||
|
// overriding selectCashier function
|
||||
|
async selectCashier() { |
||||
|
const list = this.env.pos.employees.map((employee) => { |
||||
|
return { |
||||
|
id: employee.id, |
||||
|
item: employee, |
||||
|
label: employee.name, |
||||
|
isSelected: false, |
||||
|
}; |
||||
|
}); |
||||
|
|
||||
|
const employee = await this.selectEmployee(list); |
||||
|
if (employee) { |
||||
|
this.env.pos.set_cashier(employee); |
||||
|
this.back(); |
||||
|
} |
||||
|
this.root.el.querySelector('#login-screen').style.zIndex = -1 |
||||
|
}, |
||||
|
|
||||
|
// Function to loadimage
|
||||
|
async loadImage() { |
||||
|
var cashier_id = this.env.pos.changed.cashier.id |
||||
|
await ajax.jsonRpc('/cashier/image/', 'call', { |
||||
|
cashier_id: cashier_id, |
||||
|
}).then(async data => { |
||||
|
if (data) { |
||||
|
this.have_image = data |
||||
|
const employee_image = this.root.el.querySelector('#employee_image') |
||||
|
employee_image.src = "data:image/jpeg;base64," + data |
||||
|
await this.startWebcam() |
||||
|
} else { |
||||
|
await Gui.showPopup("ErrorPopup", { |
||||
|
'title': _t('Authentication failed'), |
||||
|
'body': _t('Selected cashier have no image..'), |
||||
|
}); |
||||
|
location.reload(); |
||||
|
} |
||||
|
}); |
||||
|
}, |
||||
|
|
||||
|
// Function to start webcam
|
||||
|
startWebcam() { |
||||
|
const video = this.root.el.querySelector('#video') |
||||
|
navigator.mediaDevices.getUserMedia( |
||||
|
{video: true, audio: false} |
||||
|
).then((stream) => { |
||||
|
video.srcObject = stream |
||||
|
}).catch((error) => { |
||||
|
console.error(error) |
||||
|
}).then(this.faceRecognition(video)) |
||||
|
}, |
||||
|
|
||||
|
// Function to get the descriptions of cashier image
|
||||
|
async getLabeledFaceDescriptions() { |
||||
|
const employee_image = this.root.el.querySelector('#employee_image'); |
||||
|
const detections = await faceapi |
||||
|
.detectSingleFace(employee_image) |
||||
|
.withFaceLandmarks() |
||||
|
.withFaceExpressions() |
||||
|
.withFaceDescriptor(); |
||||
|
return detections |
||||
|
}, |
||||
|
// Function which compares the webcam image with cashier image
|
||||
|
async faceRecognition(video) { |
||||
|
const labeledFaceDescriptors = await this.getLabeledFaceDescriptions() |
||||
|
if (!this.faceMatcher) { |
||||
|
this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]); |
||||
|
} |
||||
|
video.addEventListener('play', () => { |
||||
|
const canvas = faceapi.createCanvasFromMedia(video); |
||||
|
document.body.append(canvas); |
||||
|
const displaySize = {width: video.width, height: video.height} |
||||
|
faceapi.matchDimensions(canvas, displaySize) |
||||
|
setInterval(async () => { |
||||
|
const detections = await faceapi |
||||
|
.detectAllFaces(video) |
||||
|
.withFaceLandmarks() |
||||
|
.withFaceExpressions() |
||||
|
.withFaceDescriptors(); |
||||
|
detections.forEach((detection) => { |
||||
|
const match = this.faceMatcher.findBestMatch(detection.descriptor); |
||||
|
if (match._distance < 0.4) { // Adjust threshold as needed
|
||||
|
const modal = document.getElementById('WebCamModal'); |
||||
|
if (modal) { |
||||
|
modal.style.display = 'none'; |
||||
|
this.props.resolve({ |
||||
|
confirmed: false, |
||||
|
payload: false |
||||
|
}); |
||||
|
this.trigger('close-temp-screen'); |
||||
|
this.env.pos.hasLoggedIn = true; |
||||
|
posbus.trigger('start-cash-control'); |
||||
|
video.srcObject.getTracks().forEach(track => track.stop()); |
||||
|
canvas.remove(); |
||||
|
} |
||||
|
} else { |
||||
|
} |
||||
|
}); |
||||
|
}, 100); |
||||
|
}) |
||||
|
}, |
||||
|
}); |
||||
|
}); |
@ -0,0 +1,618 @@ |
|||||
|
[ |
||||
|
{ |
||||
|
"weights": [ |
||||
|
{ |
||||
|
"name": "entry_flow/conv_in/filters", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005431825039433498, |
||||
|
"min": -0.7441600304023892 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/conv_in/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/separable_conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005691980614381678, |
||||
|
"min": -0.6090419257388395 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/separable_conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.009089225881239947, |
||||
|
"min": -1.1179747833925135 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/separable_conv0/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/separable_conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00683894624897078, |
||||
|
"min": -0.8138346036275228 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/separable_conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011632566358528886, |
||||
|
"min": -1.3028474321552352 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/separable_conv1/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/expansion_conv/filters", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010254812240600587, |
||||
|
"min": -0.9229331016540528 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_0/expansion_conv/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/separable_conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0052509616403018725, |
||||
|
"min": -0.6406173201168285 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/separable_conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010788509424994973, |
||||
|
"min": -1.4564487723743214 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/separable_conv0/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/separable_conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00553213918910307, |
||||
|
"min": -0.7025816770160899 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/separable_conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.013602388606351965, |
||||
|
"min": -1.6186842441558837 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/separable_conv1/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/expansion_conv/filters", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.007571851038465313, |
||||
|
"min": -1.158493208885193 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "entry_flow/reduction_block_1/expansion_conv/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005766328409606335, |
||||
|
"min": -0.6688940955143349 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.012136116214826995, |
||||
|
"min": -1.5776951079275094 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv0/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004314773222979377, |
||||
|
"min": -0.5652352922102984 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.01107162026798024, |
||||
|
"min": -1.2400214700137868 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv1/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0036451735917259667, |
||||
|
"min": -0.4848080876995536 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.008791744942758598, |
||||
|
"min": -1.134135097615859 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_0/separable_conv2/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004915751896652521, |
||||
|
"min": -0.6095532351849126 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010868691463096469, |
||||
|
"min": -1.3368490499608656 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv0/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005010117269029804, |
||||
|
"min": -0.6012140722835765 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010311148213405235, |
||||
|
"min": -1.3816938605963016 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv1/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004911523706772748, |
||||
|
"min": -0.7367285560159123 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.008976466047997568, |
||||
|
"min": -1.2207993825276693 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "middle_flow/main_block_1/separable_conv2/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/separable_conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005074804436926748, |
||||
|
"min": -0.7104726211697447 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/separable_conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011453078307357489, |
||||
|
"min": -1.4545409450344011 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/separable_conv0/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/separable_conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.007741751390344957, |
||||
|
"min": -1.1380374543807086 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/separable_conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011347713189966538, |
||||
|
"min": -1.497898141075583 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/separable_conv1/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/expansion_conv/filters", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006717281014311547, |
||||
|
"min": -0.8329428457746318 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/reduction_block/expansion_conv/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/separable_conv/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0027201742518181892, |
||||
|
"min": -0.3237007359663645 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/separable_conv/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
512 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010076364348916447, |
||||
|
"min": -1.330080094056971 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "exit_flow/separable_conv/bias", |
||||
|
"shape": [ |
||||
|
512 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/age/weights", |
||||
|
"shape": [ |
||||
|
512, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.008674054987290326, |
||||
|
"min": -1.2664120281443876 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/age/bias", |
||||
|
"shape": [ |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/gender/weights", |
||||
|
"shape": [ |
||||
|
512, |
||||
|
2 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0029948226377075793, |
||||
|
"min": -0.34140978069866407 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/gender/bias", |
||||
|
"shape": [ |
||||
|
2 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
} |
||||
|
], |
||||
|
"paths": [ |
||||
|
"age_gender_model-shard1" |
||||
|
] |
||||
|
} |
||||
|
] |
@ -0,0 +1,606 @@ |
|||||
|
[ |
||||
|
{ |
||||
|
"weights": [ |
||||
|
{ |
||||
|
"name": "dense0/conv0/filters", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0057930146946626555, |
||||
|
"min": -0.7125408074435067 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv0/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006473719839956246, |
||||
|
"min": -0.6408982641556684 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010509579321917366, |
||||
|
"min": -1.408283629136927 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005666389652326995, |
||||
|
"min": -0.7252978754978554 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010316079270605948, |
||||
|
"min": -1.1760330368490781 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0063220320963392074, |
||||
|
"min": -0.853474333005793 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010322785377502442, |
||||
|
"min": -1.4658355236053466 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv3/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0042531527724920535, |
||||
|
"min": -0.5741756242864272 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010653339647779278, |
||||
|
"min": -1.1825207009035 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005166931012097527, |
||||
|
"min": -0.6355325144879957 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011478300188101974, |
||||
|
"min": -1.3888743227603388 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006144821410085641, |
||||
|
"min": -0.8479853545918185 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010541967317169788, |
||||
|
"min": -1.3809977185492421 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005769844849904378, |
||||
|
"min": -0.686611537138621 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010939095534530341, |
||||
|
"min": -1.2689350820055196 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv3/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0037769308277204924, |
||||
|
"min": -0.40790852939381317 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.01188667194516051, |
||||
|
"min": -1.4382873053644218 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006497045825509464, |
||||
|
"min": -0.8381189114907208 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011632198913424622, |
||||
|
"min": -1.3377028750438316 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005947182225246056, |
||||
|
"min": -0.7969224181829715 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011436844339557722, |
||||
|
"min": -1.4524792311238306 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006665432686899222, |
||||
|
"min": -0.8998334127313949 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.01283421422920975, |
||||
|
"min": -1.642779421338848 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv3/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004711699953266218, |
||||
|
"min": -0.6737730933170692 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010955964817720302, |
||||
|
"min": -1.3914075318504784 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv0/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00554193468654857, |
||||
|
"min": -0.7149095745647656 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.016790372250126858, |
||||
|
"min": -2.484975093018775 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv1/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006361540626077091, |
||||
|
"min": -0.8142772001378676 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.01777329678628959, |
||||
|
"min": -1.7062364914838006 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv2/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006900275922289082, |
||||
|
"min": -0.8625344902861353 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.015449936717164282, |
||||
|
"min": -1.9003422162112067 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv3/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/weights", |
||||
|
"shape": [ |
||||
|
256, |
||||
|
7 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004834276554631252, |
||||
|
"min": -0.7203072066400565 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/bias", |
||||
|
"shape": [ |
||||
|
7 |
||||
|
], |
||||
|
"dtype": "float32" |
||||
|
} |
||||
|
], |
||||
|
"paths": [ |
||||
|
"face_expression_model-shard1" |
||||
|
] |
||||
|
} |
||||
|
] |
@ -0,0 +1,691 @@ |
|||||
|
[ |
||||
|
{ |
||||
|
"weights": [ |
||||
|
{ |
||||
|
"name": "dense0/conv0/filters", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004853619781194949, |
||||
|
"min": -0.5872879935245888 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv0/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004396426443960153, |
||||
|
"min": -0.7298067896973853 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00635151559231328, |
||||
|
"min": -0.5589333721235686 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.009354315552057004, |
||||
|
"min": -1.2628325995276957 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0029380727048013726, |
||||
|
"min": -0.5846764682554731 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0049374802439820535, |
||||
|
"min": -0.6171850304977566 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.009941946758943446, |
||||
|
"min": -1.3421628124573652 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0030300481062309416, |
||||
|
"min": -0.5272283704841838 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005672684837790097, |
||||
|
"min": -0.7431217137505026 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010712201455060173, |
||||
|
"min": -1.5639814124387852 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv3/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0030966934035806097, |
||||
|
"min": -0.3839899820439956 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0039155554537679636, |
||||
|
"min": -0.48161332081345953 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.01023082966898002, |
||||
|
"min": -1.094698774580862 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0027264176630506327, |
||||
|
"min": -0.3871513081531898 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004583378632863362, |
||||
|
"min": -0.5454220573107401 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00915846403907327, |
||||
|
"min": -1.117332612766939 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.003091680419211294, |
||||
|
"min": -0.5966943209077797 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005407439727409214, |
||||
|
"min": -0.708374604290607 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00946493943532308, |
||||
|
"min": -1.2399070660273235 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004409168514550901, |
||||
|
"min": -0.9788354102303 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004478132958505668, |
||||
|
"min": -0.6493292789833219 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011063695888893277, |
||||
|
"min": -1.2501976354449402 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv3/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.003909627596537272, |
||||
|
"min": -0.6646366914113363 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.003213915404151468, |
||||
|
"min": -0.3374611174359041 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010917326048308728, |
||||
|
"min": -1.4520043644250609 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.002800439152063108, |
||||
|
"min": -0.38085972468058266 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0050568851770139206, |
||||
|
"min": -0.6927932692509071 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.01074961213504567, |
||||
|
"min": -1.3222022926106174 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0030654204242369708, |
||||
|
"min": -0.5487102559384177 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00591809165244009, |
||||
|
"min": -0.917304206128214 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.01092823346455892, |
||||
|
"min": -1.366029183069865 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.002681120470458386, |
||||
|
"min": -0.36463238398234055 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0048311497650894465, |
||||
|
"min": -0.5797379718107336 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.011227761062921263, |
||||
|
"min": -1.4483811771168429 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv3/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0034643323982463162, |
||||
|
"min": -0.3360402426298927 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.003394978887894574, |
||||
|
"min": -0.49227193874471326 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010051267287310432, |
||||
|
"min": -1.2765109454884247 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv0/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.003142924752889895, |
||||
|
"min": -0.4588670139219247 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00448304671867221, |
||||
|
"min": -0.5872791201460595 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.016063522357566685, |
||||
|
"min": -2.3613377865623026 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv1/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00287135781026354, |
||||
|
"min": -0.47664539650374765 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006002906724518421, |
||||
|
"min": -0.7923836876364315 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.017087187019048954, |
||||
|
"min": -1.6061955797906016 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv2/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.003124481205846749, |
||||
|
"min": -0.46242321846531886 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv3/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
256, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006576311588287353, |
||||
|
"min": -1.0193282961845398 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv3/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
256, |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.015590153955945782, |
||||
|
"min": -1.99553970636106 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense3/conv3/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.004453541601405424, |
||||
|
"min": -0.6546706154065973 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/weights", |
||||
|
"shape": [ |
||||
|
256, |
||||
|
136 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.010417488509533453, |
||||
|
"min": -1.500118345372817 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/bias", |
||||
|
"shape": [ |
||||
|
136 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0025084222648658005, |
||||
|
"min": 0.07683877646923065 |
||||
|
} |
||||
|
} |
||||
|
], |
||||
|
"paths": [ |
||||
|
"face_landmark_68_model-shard1" |
||||
|
] |
||||
|
} |
||||
|
] |
@ -0,0 +1,397 @@ |
|||||
|
[ |
||||
|
{ |
||||
|
"weights": [ |
||||
|
{ |
||||
|
"name": "dense0/conv0/filters", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.008194216092427571, |
||||
|
"min": -0.9423348506291708 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv0/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006839508168837603, |
||||
|
"min": -0.8412595047670252 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.009194007106855804, |
||||
|
"min": -1.2779669878529567 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0036026100317637128, |
||||
|
"min": -0.3170296827952067 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv1/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.000740380117706224, |
||||
|
"min": -0.06367269012273527 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 1, |
||||
|
"min": 0 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 1, |
||||
|
"min": 0 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense0/conv2/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0037702228508743585, |
||||
|
"min": -0.6220867703942692 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0033707996209462483, |
||||
|
"min": -0.421349952618281 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.014611541991140328, |
||||
|
"min": -1.8556658328748217 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv0/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.002832523046755323, |
||||
|
"min": -0.30307996600281956 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.006593170586754294, |
||||
|
"min": -0.6329443763284123 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.012215249211180444, |
||||
|
"min": -1.6001976466646382 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv1/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.002384825547536214, |
||||
|
"min": -0.3028728445370992 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005859645441466687, |
||||
|
"min": -0.7617539073906693 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.013121426806730382, |
||||
|
"min": -1.7845140457153321 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense1/conv2/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0032247188044529336, |
||||
|
"min": -0.46435950784122243 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.002659512618008782, |
||||
|
"min": -0.32977956463308894 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
64, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.015499923743453681, |
||||
|
"min": -1.9839902391620712 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv0/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0032450980999890497, |
||||
|
"min": -0.522460794098237 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005911862382701799, |
||||
|
"min": -0.792189559282041 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.021025861478319356, |
||||
|
"min": -2.2077154552235325 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv1/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.00349616945958605, |
||||
|
"min": -0.46149436866535865 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/depthwise_filter", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
128, |
||||
|
1 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.008104994250278847, |
||||
|
"min": -1.013124281284856 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/pointwise_filter", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
128, |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.029337059282789044, |
||||
|
"min": -3.5791212325002633 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "dense2/conv2/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0038808938334969913, |
||||
|
"min": -0.4230174278511721 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/weights", |
||||
|
"shape": [ |
||||
|
128, |
||||
|
136 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.014016061670639936, |
||||
|
"min": -1.8921683255363912 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "fc/bias", |
||||
|
"shape": [ |
||||
|
136 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.0029505149698724935, |
||||
|
"min": 0.088760145008564 |
||||
|
} |
||||
|
} |
||||
|
], |
||||
|
"paths": [ |
||||
|
"face_landmark_68_tiny_model-shard1" |
||||
|
] |
||||
|
} |
||||
|
] |
@ -0,0 +1,402 @@ |
|||||
|
[ |
||||
|
{ |
||||
|
"paths": [ |
||||
|
"mtcnn_model-shard1" |
||||
|
], |
||||
|
"weights": [ |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv1/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
10 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv1/bias", |
||||
|
"shape": [ |
||||
|
10 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/prelu1_alpha", |
||||
|
"shape": [ |
||||
|
10 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv2/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
10, |
||||
|
16 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv2/bias", |
||||
|
"shape": [ |
||||
|
16 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/prelu2_alpha", |
||||
|
"shape": [ |
||||
|
16 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv3/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
16, |
||||
|
32 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv3/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/prelu3_alpha", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv4_1/weights", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
2 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv4_1/bias", |
||||
|
"shape": [ |
||||
|
2 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv4_2/weights", |
||||
|
"shape": [ |
||||
|
1, |
||||
|
1, |
||||
|
32, |
||||
|
4 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "pnet/conv4_2/bias", |
||||
|
"shape": [ |
||||
|
4 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/conv1/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
28 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/conv1/bias", |
||||
|
"shape": [ |
||||
|
28 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/prelu1_alpha", |
||||
|
"shape": [ |
||||
|
28 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/conv2/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
28, |
||||
|
48 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/conv2/bias", |
||||
|
"shape": [ |
||||
|
48 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/prelu2_alpha", |
||||
|
"shape": [ |
||||
|
48 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/conv3/weights", |
||||
|
"shape": [ |
||||
|
2, |
||||
|
2, |
||||
|
48, |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/conv3/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/prelu3_alpha", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/fc1/weights", |
||||
|
"shape": [ |
||||
|
576, |
||||
|
128 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/fc1/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/prelu4_alpha", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/fc2_1/weights", |
||||
|
"shape": [ |
||||
|
128, |
||||
|
2 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/fc2_1/bias", |
||||
|
"shape": [ |
||||
|
2 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/fc2_2/weights", |
||||
|
"shape": [ |
||||
|
128, |
||||
|
4 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "rnet/fc2_2/bias", |
||||
|
"shape": [ |
||||
|
4 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv1/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
32 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv1/bias", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/prelu1_alpha", |
||||
|
"shape": [ |
||||
|
32 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv2/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
32, |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv2/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/prelu2_alpha", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv3/weights", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
64, |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv3/bias", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/prelu3_alpha", |
||||
|
"shape": [ |
||||
|
64 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv4/weights", |
||||
|
"shape": [ |
||||
|
2, |
||||
|
2, |
||||
|
64, |
||||
|
128 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/conv4/bias", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/prelu4_alpha", |
||||
|
"shape": [ |
||||
|
128 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc1/weights", |
||||
|
"shape": [ |
||||
|
1152, |
||||
|
256 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc1/bias", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/prelu5_alpha", |
||||
|
"shape": [ |
||||
|
256 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc2_1/weights", |
||||
|
"shape": [ |
||||
|
256, |
||||
|
2 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc2_1/bias", |
||||
|
"shape": [ |
||||
|
2 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc2_2/weights", |
||||
|
"shape": [ |
||||
|
256, |
||||
|
4 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc2_2/bias", |
||||
|
"shape": [ |
||||
|
4 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc2_3/weights", |
||||
|
"shape": [ |
||||
|
256, |
||||
|
10 |
||||
|
] |
||||
|
}, |
||||
|
{ |
||||
|
"dtype": "float32", |
||||
|
"name": "onet/fc2_3/bias", |
||||
|
"shape": [ |
||||
|
10 |
||||
|
] |
||||
|
} |
||||
|
] |
||||
|
} |
||||
|
] |
@ -0,0 +1,273 @@ |
|||||
|
[ |
||||
|
{ |
||||
|
"weights": [ |
||||
|
{ |
||||
|
"name": "conv0/filters", |
||||
|
"shape": [ |
||||
|
3, |
||||
|
3, |
||||
|
3, |
||||
|
16 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.009007044399485869, |
||||
|
"min": -1.2069439495311063 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"name": "conv0/bias", |
||||
|
"shape": [ |
||||
|
16 |
||||
|
], |
||||
|
"dtype": "float32", |
||||
|
"quantization": { |
||||
|
"dtype": "uint8", |
||||
|
"scale": 0.005263455241334205, |
||||
|
"min": -0.9211046672334858 |
||||
|
} |
||||
|
}, |
||||
|
{ |
||||
|
"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 fixed-top w-100 h-100 bg-view" t-ref="LoginRoot"> |
||||
|
<div id="WebCamModal" |
||||
|
style="display: none; 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" |
||||
|
style="visibility: hidden; height: 10px; width: 10px"/> |
||||
|
</div> |
||||
|
</div> |
||||
|
<div id="login-screen" class="screen-login position-absolute top-0 start-0 bottom-0 end-0 d-flex flex-column py-4 m-auto w-100 rounded bg-view text-center fw-bolder"> |
||||
|
<div class="login-title fs-2 mb-3 mb-lg-0">Log in to |
||||
|
<span class="text-primary" t-esc="shopName"/> |
||||
|
</div> |
||||
|
<div class="login-body d-flex d-flex flex-column flex-sm-row align-items-center justify-content-around px-3 py-4"> |
||||
|
<span class="login-element border rounded"> |
||||
|
<img class="login-barcode-img img-fluid" |
||||
|
src="/point_of_sale/static/img/barcode.png"/> |
||||
|
<div class="login-barcode-text mt-2">Scan your badge</div> |
||||
|
</span> |
||||
|
<span class="login-or m-2 fs-2 text-muted">or</span> |
||||
|
<span class="login-element"> |
||||
|
<button class="login-button select-cashier btn btn-lg btn-secondary" |
||||
|
t-on-click="() => this.selectCashier(this.root.el.querySelector('#WebCamModal').style.display = 'block');">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> |