Cybrosys Technologies
7 months ago
39 changed files with 7160 additions and 171 deletions
|
After Width: | Height: | Size: 628 KiB |
|
After Width: | Height: | Size: 295 KiB |
|
After Width: | Height: | Size: 664 KiB |
|
After Width: | Height: | Size: 1.0 MiB |
|
After Width: | Height: | Size: 1.0 MiB |
|
After Width: | Height: | Size: 673 KiB |
|
After Width: | Height: | Size: 877 KiB |
|
After Width: | Height: | Size: 661 KiB |
|
After Width: | Height: | Size: 654 KiB |
|
After Width: | Height: | Size: 661 KiB |
@ -0,0 +1,26 @@ |
|||
.qr_video { |
|||
display: block; /* Initially visible */ |
|||
} |
|||
|
|||
.qr_video.hidden { |
|||
display: none; /* Will hide the QR scanner when the close button is clicked */ |
|||
} |
|||
|
|||
#close_qr_scanner { |
|||
cursor: pointer; |
|||
color: red; |
|||
font-weight: bold; |
|||
} |
|||
.qr_video_kiosk { |
|||
display: block; /* Initially visible */ |
|||
} |
|||
|
|||
.qr_video_kiosk.hidden { |
|||
display: none; /* Will hide the QR scanner when the close button is clicked */ |
|||
} |
|||
|
|||
#close_qr_scanner_kiosk { |
|||
cursor: pointer; |
|||
color: red; |
|||
font-weight: bold; |
|||
} |
|||
File diff suppressed because one or more lines are too long
@ -0,0 +1,196 @@ |
|||
/** @odoo-module **/ |
|||
import { patch } from "@web/core/utils/patch"; |
|||
const KioskConfirm = require("hr_attendance.kiosk_confirm") |
|||
const session = require('web.session'); |
|||
var rpc = require('web.rpc'); |
|||
const MODEL_URL = '/face_recognized_attendance_login/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); |
|||
|
|||
patch(KioskConfirm.prototype,'face_recognized_attendance_login.kiosk',{ |
|||
events: { |
|||
"click .o_hr_attendance_back_button": function () { this.do_action(this.next_action, {clear_breadcrumbs: true}); }, |
|||
"click .o_hr_attendance_sign_in_out_icon": _.debounce(async function () { |
|||
await this.startWebcam(); |
|||
}, 200, true), |
|||
}, |
|||
// -------To start the camera-------
|
|||
async startWebcam() { |
|||
const video = this.el.querySelector('#video'); |
|||
try { |
|||
const video = this.el.querySelector('#video'); |
|||
if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) { |
|||
throw new Error('getUserMedia is not supported in this browser.'); |
|||
} |
|||
const stream = await navigator.mediaDevices.getUserMedia({ video: true, audio: false }); |
|||
video.srcObject = stream; |
|||
|
|||
video.onloadedmetadata = () => { |
|||
video.play(); |
|||
}; |
|||
this.faceRecognition(video); |
|||
} catch (error) { |
|||
console.error('An error occurred while accessing the camera:', error); |
|||
this.__parentedParent.notifications.add( |
|||
'Unable to access webcam. Please check your device permissions or use a supported browser.', { |
|||
title: 'Webcam Error', |
|||
type: 'danger', |
|||
sticky: true, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
} |
|||
}, |
|||
// -----To start the face recognition-----------
|
|||
async faceRecognition(video) { |
|||
const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(video); |
|||
if (!labeledFaceDescriptors) { |
|||
console.error('No labeled face descriptors available.'); |
|||
this.stopWebcamAndDetection(); |
|||
return; |
|||
} |
|||
if (!this.faceMatcher) { |
|||
const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(); |
|||
this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors]); |
|||
if (labeledFaceDescriptors && labeledFaceDescriptors.descriptor) { |
|||
this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]); |
|||
} else { |
|||
console.error("Could not get face descriptor from reference image"); |
|||
this.__parentedParent.notification.add("Failed to initialize face recognition, Please upload a new, properly formatted image.", { |
|||
type: "danger", |
|||
title: "Image detection failed!", |
|||
}); |
|||
this.stopRecognition(video); |
|||
return; |
|||
} |
|||
} |
|||
let attendanceMarked = false; |
|||
let notificationSent = false; |
|||
this.faceRecognitionInterval = setInterval(async () => { |
|||
try { |
|||
const detections = await faceapi |
|||
.detectAllFaces(video) |
|||
.withFaceLandmarks() |
|||
.withFaceDescriptors(); |
|||
if (detections.length === 0) { |
|||
if (!notificationSent) { |
|||
this.__parentedParent.notifications.add( |
|||
'No face detected.', { |
|||
title: 'Detection Failed!', |
|||
type: 'danger', |
|||
sticky: false, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
notificationSent = true; |
|||
} |
|||
this.stopWebcamAndDetection(); |
|||
return; |
|||
} |
|||
detections.forEach((detection) => { |
|||
const match = this.faceMatcher.findBestMatch(detection.descriptor); |
|||
if (match._distance < 0.4 && !attendanceMarked) { |
|||
const modal = this.el.querySelector('#video'); |
|||
if (modal) { |
|||
modal.style.display = 'none'; |
|||
} |
|||
attendanceMarked = true; |
|||
notificationSent = false; |
|||
this.markAttendance(); |
|||
clearInterval(this.faceRecognitionInterval); |
|||
this.stopWebcamAndDetection(); |
|||
} |
|||
}); |
|||
if (!attendanceMarked && !notificationSent) { |
|||
this.__parentedParent.notifications.add( |
|||
'Face is not recognized.', { |
|||
title: 'No Match!', |
|||
type: 'danger', |
|||
sticky: false, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
notificationSent = true; |
|||
this.stopWebcamAndDetection(); |
|||
} |
|||
} catch (error) { |
|||
console.error('Error during face recognition:', error); |
|||
this.stopWebcamAndDetection(); |
|||
} |
|||
}, 100); |
|||
}, |
|||
// ---------Fetch labeled face descriptions (employee's face data)------
|
|||
async getLabeledFaceDescriptions(video) { |
|||
const employee_image_base64 = await rpc.query({ |
|||
model: 'hr.employee', |
|||
method: 'get_kiosk_image', |
|||
args: [this.employee_id] |
|||
}); |
|||
if (employee_image_base64) { |
|||
const employee_image = new Image(); |
|||
employee_image.src = "data:image/jpeg;base64," + employee_image_base64; |
|||
try { |
|||
const detections = await faceapi |
|||
.detectSingleFace(employee_image) |
|||
.withFaceLandmarks() |
|||
.withFaceExpressions() |
|||
.withFaceDescriptor(); |
|||
if (!detections) { |
|||
console.error('No face detected in the image.'); |
|||
this.__parentedParent.notifications.add( |
|||
'No face detected in the image.Please upload a new, properly formatted image in the profile.', { |
|||
title: 'Image detection failed!', |
|||
type: 'danger', |
|||
sticky: false, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
return; |
|||
} |
|||
return detections; |
|||
} catch (error) { |
|||
console.error('Error during face detection:', error); |
|||
} |
|||
} else { |
|||
console.error('No image data found for the employee.'); |
|||
} |
|||
}, |
|||
// ----------Function to stop webcam and face detection-----
|
|||
stopWebcamAndDetection() { |
|||
const video = this.el.querySelector('#video'); |
|||
if (video.srcObject) { |
|||
const stream = video.srcObject; |
|||
const tracks = stream.getTracks(); |
|||
tracks.forEach(track => track.stop()); |
|||
video.srcObject = null; //
|
|||
} |
|||
if (this.faceRecognitionInterval) { |
|||
clearInterval(this.faceRecognitionInterval); |
|||
this.faceRecognitionInterval = null; |
|||
} |
|||
this.faceMatcher = null; |
|||
}, |
|||
// ------------Redirecting to welcome/checkout page ----------------------------------
|
|||
markAttendance() { |
|||
const self = this; |
|||
this._rpc({ |
|||
model: 'hr.employee', |
|||
method: 'attendance_manual', |
|||
args: [[this.employee_id], 'hr_attendance.hr_attendance_action_my_attendances'] |
|||
}).then((result) => { |
|||
if (result.action) { |
|||
self.do_action(result.action); |
|||
} else if (result.warning) { |
|||
self.do_warn(result.warning); |
|||
} |
|||
}).catch((error) => { |
|||
console.error('Error marking attendance:', error); |
|||
}); |
|||
}, |
|||
}) |
|||
|
|||
@ -1,42 +1,205 @@ |
|||
odoo.define('face_recognized_attendance_login.my_attendance', function(require){ |
|||
"use strict"; |
|||
/** |
|||
* This file inherit the class MyAttendances, and added the functionality, that |
|||
the login/logout is possible only after the face detection |
|||
*/ |
|||
var core = require('web.core'); |
|||
var Widget = require('web.Widget'); |
|||
var rpc = require('web.rpc'); |
|||
var MyAttendances = require('hr_attendance.my_attendances'); |
|||
var login = 0 |
|||
// Login made possible, if and only if the captured image and face of the
|
|||
// employee matched
|
|||
MyAttendances.include({ |
|||
update_attendance: async function () { |
|||
await rpc.query({ |
|||
model:'hr.employee', |
|||
method:'get_login_screen' |
|||
}).then(function (data) { |
|||
login = data |
|||
}); |
|||
if (login==1){ |
|||
var self = this; |
|||
this._rpc({ |
|||
odoo.define('face_recognized_attendance_login.my_attendance', function(require) { |
|||
"use strict"; |
|||
// Required Odoo dependencies
|
|||
var core = require('web.core'); |
|||
var Widget = require('web.Widget'); |
|||
var rpc = require('web.rpc'); |
|||
var MyAttendances = require('hr_attendance.my_attendances'); |
|||
var _t = core._t; |
|||
var login = 0; |
|||
const MODEL_URL = '/face_recognized_attendance_login/static/src/js/weights'; |
|||
// Load face-api.js models
|
|||
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); |
|||
// Extend MyAttendances widget
|
|||
MyAttendances.include({ |
|||
events: _.extend({}, MyAttendances.prototype.events, { |
|||
'click #close_qr_scanner': 'stopWebcamAndDetection', |
|||
}), |
|||
update_attendance: async function() { |
|||
this.faceMatcher = null; |
|||
this.el.querySelector('.close_button').classList.remove('d-none'); // Show the close button
|
|||
await this.startWebcam(); |
|||
}, |
|||
//--------------------------------------------------------------------
|
|||
async startWebcam() { |
|||
const video = this.el.querySelector('#video'); |
|||
console.log("navigator",navigator) |
|||
try { |
|||
if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) { |
|||
throw new Error('Webcam access is not supported or allowed in this browser.'); |
|||
} |
|||
const stream = await navigator.mediaDevices.getUserMedia({ video: true, audio: false }); |
|||
video.srcObject = stream; |
|||
video.onloadedmetadata = () => { |
|||
video.play(); |
|||
}; |
|||
this.faceRecognition(video); |
|||
} catch (error) { |
|||
this.el.querySelector('.close_button').classList.add('d-none'); |
|||
this.__parentedParent.notifications.add( |
|||
'Unable to access webcam. Please check your device permissions or use a supported browser.', { |
|||
title: 'Webcam Error', |
|||
type: 'danger', |
|||
sticky: true, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
} |
|||
}, |
|||
// --------------------Function to stop webcam and face detection------------
|
|||
stopWebcamAndDetection() { |
|||
const video = this.el.querySelector('#video'); |
|||
this.el.querySelector('.close_button').classList.add('d-none'); |
|||
if (video.srcObject) { |
|||
const stream = video.srcObject; |
|||
const tracks = stream.getTracks(); |
|||
tracks.forEach(track => track.stop()); |
|||
video.srcObject = null; //
|
|||
} |
|||
if (this.faceRecognitionInterval) { |
|||
clearInterval(this.faceRecognitionInterval); |
|||
this.faceRecognitionInterval = null; |
|||
} |
|||
this.faceMatcher = null; |
|||
console.log('Camera and detection stopped.'); |
|||
}, |
|||
|
|||
//------------------ Fetch labeled face descriptions (employee's face data)------
|
|||
async getLabeledFaceDescriptions(video) { |
|||
const employee_image_base64 = await rpc.query({ |
|||
model: 'hr.employee', |
|||
method: 'get_login_screen', |
|||
}); |
|||
if (employee_image_base64) { |
|||
const employee_image = new Image(); |
|||
employee_image.src = "data:image/jpeg;base64," + employee_image_base64; |
|||
try { |
|||
const detections = await faceapi |
|||
.detectSingleFace(employee_image) |
|||
.withFaceLandmarks() |
|||
.withFaceExpressions() |
|||
.withFaceDescriptor(); |
|||
console.log(detections) |
|||
if (!detections) { |
|||
console.error('No face detected in the image.'); |
|||
this.__parentedParent.notifications.add( |
|||
'No face detected in the image.Please upload a new, properly formatted image in the profile.', { |
|||
title: 'Image detection failed!', |
|||
type: 'danger', |
|||
sticky: false, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
return; |
|||
} |
|||
return detections; |
|||
} catch (error) { |
|||
console.error('Error during face detection:', error); |
|||
} |
|||
} else { |
|||
console.error('No image data found for the employee.'); |
|||
} |
|||
}, |
|||
//----------------------------- Face recognition logic---------------
|
|||
async faceRecognition(video) { |
|||
const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(video); |
|||
if (!labeledFaceDescriptors) { |
|||
console.error('No labeled face descriptors available.'); |
|||
this.stopWebcamAndDetection(); |
|||
return; |
|||
} |
|||
if (!this.faceMatcher) { |
|||
const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(); |
|||
this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors]); |
|||
if (labeledFaceDescriptors && labeledFaceDescriptors.descriptor) { |
|||
this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]); |
|||
} else { |
|||
console.error("Could not get face descriptor from reference image"); |
|||
this.__parentedParent.notification.add("Failed to initialize face recognition, Please upload a new, properly formatted image.", { |
|||
type: "danger", |
|||
title: "Image detection failed!", |
|||
}); |
|||
this.stopRecognition(video); |
|||
return; |
|||
} |
|||
} |
|||
let attendanceMarked = false; |
|||
let notificationSent = false; |
|||
this.faceRecognitionInterval = setInterval(async () => { |
|||
try { |
|||
const detections = await faceapi |
|||
.detectAllFaces(video) |
|||
.withFaceLandmarks() |
|||
.withFaceDescriptors(); |
|||
if (detections.length === 0) { |
|||
if (!notificationSent) { |
|||
this.__parentedParent.notifications.add( |
|||
'No face detected.', { |
|||
title: 'Detection Failed!', |
|||
type: 'danger', |
|||
sticky: false, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
notificationSent = true; // Prevent duplicate notifications
|
|||
} |
|||
this.stopWebcamAndDetection(); |
|||
return; |
|||
} |
|||
detections.forEach((detection) => { |
|||
const match = this.faceMatcher.findBestMatch(detection.descriptor); |
|||
if (match._distance < 0.4 && !attendanceMarked) { |
|||
const modal = this.el.querySelector('#video'); |
|||
if (modal) { |
|||
modal.style.display = 'none'; |
|||
} |
|||
attendanceMarked = true; // Set flag to prevent re-matching
|
|||
notificationSent = false; // Reset notification flag
|
|||
this.markAttendance(); |
|||
clearInterval(this.faceRecognitionInterval); |
|||
this.stopWebcamAndDetection(); // Stop webcam and detection
|
|||
} |
|||
}); |
|||
if (!attendanceMarked && !notificationSent) { |
|||
this.__parentedParent.notifications.add( |
|||
'Face is not recognized.', { |
|||
title: 'No Match!', |
|||
type: 'danger', |
|||
sticky: false, |
|||
className: "p-4" |
|||
} |
|||
); |
|||
notificationSent = true; |
|||
this.stopWebcamAndDetection(); |
|||
} |
|||
} catch (error) { |
|||
console.error('Error during face recognition:', error); |
|||
this.stopWebcamAndDetection(); |
|||
} |
|||
}, 100); |
|||
}, |
|||
// ------------Redirecting to welcome/checkout page ----------------------------------
|
|||
markAttendance() { |
|||
const self = this; |
|||
this._rpc({ |
|||
model: 'hr.employee', |
|||
method: 'attendance_manual', |
|||
args: [[self.employee.id], 'hr_attendance.hr_attendance_action_my_attendances'], |
|||
}) |
|||
.then(function(result) { |
|||
args: [[self.employee.id], 'hr_attendance.hr_attendance_action_my_attendances'] |
|||
}).then((result) => { |
|||
if (result.action) { |
|||
self.do_action(result.action); |
|||
} else if (result.warning) { |
|||
self.do_warn(result.warning); |
|||
} |
|||
}).catch((error) => { |
|||
console.error('Error marking attendance:', error); |
|||
}); |
|||
} |
|||
else{ |
|||
window.alert("Failed to recognize the face. Please try again....") |
|||
} |
|||
} |
|||
}); |
|||
}, |
|||
}); |
|||
}); |
|||
|
|||
Binary file not shown.
@ -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" |
|||
] |
|||
} |
|||
] |
|||
Binary file not shown.
@ -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" |
|||
] |
|||
} |
|||
] |
|||
Binary file not shown.
@ -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" |
|||
] |
|||
} |
|||
] |
|||
Binary file not shown.
@ -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" |
|||
] |
|||
} |
|||
] |
|||
Binary file not shown.
File diff suppressed because one or more lines are too long
File diff suppressed because it is too large
Binary file not shown.
@ -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 |
|||
] |
|||
} |
|||
] |
|||
} |
|||
] |
|||
Binary file not shown.
File diff suppressed because one or more lines are too long
File diff suppressed because it is too large
Binary file not shown.
@ -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 +1,50 @@ |
|||
<?xml version="1.0" encoding="UTF-8"?> |
|||
<templates xml:space="preserve"> |
|||
<t t-inherit="hr_attendance.HrAttendanceMyMainMenu" |
|||
t-inherit-mode="extension"> |
|||
<xpath expr="//t[@t-set='bodyContent']" position="replace"> |
|||
<t t-set="bodyContent"> |
|||
<div class="justify-content-between mt-2 d-flex small oe_qr_login" style="position:absolute;"> |
|||
<div class="qr_video_kiosk"> |
|||
<div class="close_button d-none position-absolute" |
|||
t-ref="close_button"> |
|||
<button id="close_qr_scanner_kiosk" t-on-click="stopWebcamAndDetection" |
|||
style="position: absolute; right: 5px; z-index: 111;top:-15px;"> |
|||
X |
|||
</button> |
|||
<div class="video-container"> |
|||
<video id="video" width="" height="" autoplay="true" |
|||
style="margin-left:-150px;margin-top:-24px;"/> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
<t t-if="widget.employee"> |
|||
<t t-set="checked_in" |
|||
t-value="widget.employee.attendance_state == 'checked_in'"/> |
|||
<!-- Custom Badge Section --> |
|||
<t t-call="HrAttendanceUserBadge"> |
|||
<t t-set="userId" t-value="widget.employee.id"/> |
|||
<t t-set="userName" t-value="widget.employee.name"/></t> |
|||
<div class="flex-grow-1"> |
|||
<h1 class="mt-5" t-esc="widget.employee.name"/> |
|||
<h3> |
|||
<t t-if="!checked_in">Welcome!</t> |
|||
<t t-else="">Want to check out?</t> |
|||
</h3> |
|||
<h4 class="mt0 mb0 text-muted" t-if="checked_in">Today's work hours: |
|||
<span |
|||
t-esc="widget.hours_today"/> |
|||
</h4> |
|||
</div> |
|||
<t t-call="HrAttendanceCheckInOutButtons"/></t> |
|||
<div class="alert alert-warning" t-else=""> |
|||
<b>Warning</b>: Your user should be linked to an employee to |
|||
use attendance. |
|||
<br/> |
|||
Please contact your administrator. |
|||
</div> |
|||
</t> |
|||
</xpath> |
|||
</t> |
|||
</templates> |
|||
@ -0,0 +1,75 @@ |
|||
<?xml version="1.0" encoding="UTF-8"?> |
|||
<templates xml:space="preserve"> |
|||
<t t-inherit="hr_attendance.HrAttendanceKioskConfirm" |
|||
t-inherit-mode="extension"> |
|||
<xpath expr="//t[@t-set='bodyContent']" position="replace"> |
|||
<t t-set="bodyContent"> |
|||
<div class="justify-content-between mt-2 d-flex small oe_qr_login" style="position:absolute; display:block !important;pointer-events: none"> |
|||
<div class="qr_video"> |
|||
<!-- <div class="close_button d-none position-absolute"--> |
|||
<!-- t-ref="close_button" style="display:block !important;">--> |
|||
<!-- <button id="close_qr_scanner" t-on-click="stopWebcamAndDetection"--> |
|||
<!-- style="position: absolute; right: 5px; z-index: 111;top:-15px;">--> |
|||
<!-- X--> |
|||
<!-- </button>--> |
|||
|
|||
<!-- </div>--> |
|||
<div class="video-container"> |
|||
<video id="video" width="" height="" autoplay="true" |
|||
style="margin-left:-150px;margin-top:-24px;"/> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
<t t-set="checked_in" t-value="widget.employee_state=='checked_in'"/> |
|||
|
|||
<button class="o_hr_attendance_back_button btn btn-block btn-secondary btn-lg d-block d-md-none py-5"> |
|||
<i class="fa fa-chevron-left me-2"/> Go back |
|||
</button> |
|||
|
|||
<t t-if="widget.employee_id" t-call="HrAttendanceUserBadge"> |
|||
<t t-set="userId" t-value="widget.employee_id"/> |
|||
<t t-set="userName" t-value="widget.employee_name"/> |
|||
</t> |
|||
|
|||
<button class="o_hr_attendance_back_button o_hr_attendance_back_button_md btn btn-secondary d-none d-md-inline-flex align-items-center position-absolute top-0 start-0 rounded-circle"> |
|||
<i class="fa fa-2x fa-fw fa-chevron-left me-1" role="img" aria-label="Go back" title="Go back"/> |
|||
</button> |
|||
|
|||
<div t-if="widget.employee_id" class="flex-grow-1"> |
|||
<h1 class="mt-5 mb8"><t t-esc="widget.employee_name"/></h1> |
|||
<h3 class="mt8 mb24"><t t-if="!checked_in">Welcome!</t><t t-else="">Want to check out?</t></h3> |
|||
<h4 class="mt0 mb0 text-muted" t-if="checked_in">Today's work hours: <span t-esc="widget.employee_hours_today"/></h4> |
|||
|
|||
<t t-if="!widget.use_pin" t-call="HrAttendanceCheckInOutButtons"/> |
|||
|
|||
<t t-else=""> |
|||
<h3 class="mt-4 mb0 text-muted">Please enter your PIN to <b t-if="checked_in">check out</b><b t-else="">check in</b></h3> |
|||
<div class="row"> |
|||
<div class="col-md-8 offset-md-2 o_hr_attendance_pin_pad"> |
|||
<div class="row g-0" > |
|||
<div class="col-12 mb8 mt8"> |
|||
<input class="o_hr_attendance_PINbox border-0 bg-white fs-1 text-center" type="password" disabled="true"/> |
|||
</div> |
|||
</div> |
|||
<div class="row g-0"> |
|||
<t t-foreach="['1', '2', '3', '4', '5', '6', '7', '8', '9', ['C', 'btn-warning'], '0', ['ok', 'btn-primary']]" t-as="btn_name"> |
|||
<div class="col-4 p-1"> |
|||
<a href="#" t-attf-class="o_hr_attendance_PINbox_button btn {{btn_name[1]? btn_name[1] : 'btn-secondary border'}} btn-block btn-lg {{ 'o_hr_attendance_pin_pad_button_' + btn_name[0] }} d-flex align-items-center justify-content-center"> |
|||
<t t-esc="btn_name[0]"/> |
|||
</a> |
|||
</div> |
|||
</t> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</t> |
|||
</div> |
|||
<div t-else="" class="alert alert-danger mx-3" role="alert"> |
|||
<h4 class="alert-heading">Error: could not find corresponding employee.</h4> |
|||
<p>Please return to the main menu.</p> |
|||
</div> |
|||
<a role="button" class="oe_attendance_sign_in_out" aria-label="Sign out" title="Sign out"/> |
|||
</t> |
|||
</xpath> |
|||
</t> |
|||
</templates> |
|||
@ -0,0 +1,24 @@ |
|||
<?xml version="1.0" encoding="UTF-8" ?> |
|||
<odoo> |
|||
<!--Calling the controller of scanner from login page--> |
|||
<template id="qr_login" inherit_id="web.login" name="QR scanner"> |
|||
<xpath expr="//div[hasclass('o_login_auth')]" position="before"> |
|||
<div class="justify-content-between mt-2 d-flex small oe_qr_login"> |
|||
<a href="#" id="login_click" t-on-click='_onLoginClick'>Login With QR</a> |
|||
<div class="qr_video"> |
|||
<div class="close_button d-none position-absolute" t-ref="close_button"> |
|||
<button id="close_qr_scanner" style="position: absolute; right: 0px; z-index: 111"> |
|||
X |
|||
</button> |
|||
<div class="video-container"> |
|||
|
|||
<video id="video" width="" height="" autoplay="true"/> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</xpath> |
|||
</template> |
|||
</odoo> |
|||
|
|||
|
|||
Loading…
Reference in new issue