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Урок 1.
00:07:28
Course Introduction
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Урок 2.
00:20:08
For Windows users - Flutter 2.2 Setup
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Урок 3.
00:26:16
For MAC Users - Flutter 2.2 Setup
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Урок 4.
00:03:51
Creating Project and Installing Dependences
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Урок 5.
00:10:20
Adding SplashScreen
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Урок 6.
00:04:11
Creating Home Page
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Урок 7.
00:13:35
Home Page Design - Completed
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Урок 8.
00:06:59
Downloading Dataset and Perform Training on Dataset - Get Trained Model
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Урок 9.
00:06:53
Adding TFlite Functions
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Урок 10.
00:02:10
Creating Functions for Capturing Image and Pick Image from Gallery
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Урок 11.
00:04:38
Completing App and Texting the App
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Урок 12.
00:02:08
create new project
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Урок 13.
00:06:09
Add Splash Screen
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Урок 14.
00:14:40
Implement Live Camera Feature
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Урок 15.
00:03:09
Add and Load TfLite Model for Face Mask Detection
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Урок 16.
00:04:25
Run Model on Camera Stream Frames
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Урок 17.
00:01:50
Finishing the App and Testing the App
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Урок 18.
00:03:54
Ceating and Setting up the project
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Урок 19.
00:09:35
Completing the SplashScreen
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Урок 20.
00:13:24
Completing the Home Page Design
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Урок 21.
00:05:00
Creating Funtions for Uploading and Capturing Photos
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Урок 22.
00:09:42
Download Model and Training it
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Урок 23.
00:04:35
Installing Tflite and ImagePicker
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Урок 24.
00:06:17
Adding Image Recognition Funtions and Testing our App
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Урок 25.
00:03:33
Setup the Project & Everything
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Урок 26.
00:02:11
Installing TfLite in our App
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Урок 27.
00:06:00
Downloading our Dataset and Training our Model
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Урок 28.
00:02:48
Creating Funtions and Testing our app
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Урок 29.
00:06:01
Setup the Project || Ui & Everything
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Урок 30.
00:07:34
Download Dataset and Training our Model
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Урок 31.
00:02:18
Installing TfLite in our application
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Урок 32.
00:03:49
Creating Funtions and Testing our App
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Урок 33.
00:01:58
Create and Setting up Project
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Урок 34.
00:06:46
Add Splash Screen
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Урок 35.
00:08:05
HomeScreen part 1
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Урок 36.
00:08:22
HomeScreen part 2
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Урок 37.
00:08:34
HomeScreen part 3
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Урок 38.
00:05:03
Implement Capture Image and Pick image from Gallery Functions
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Урок 39.
00:07:04
Create API Service
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Урок 40.
00:14:40
Get Image Caption Predictions Response from API
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Урок 41.
00:00:53
Calling the getResponse Function
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Урок 42.
00:16:54
Implement Live Camera Stream Function
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Урок 43.
00:22:45
Finalising the App and Testing the App
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Урок 44.
00:02:48
Create and Setup New Project
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Урок 45.
00:03:38
Install Required Packages
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Урок 46.
00:10:50
Implement Live Camera Function
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Урок 47.
00:01:20
Add Object Detection Model to our Project
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Урок 48.
00:04:28
Load Model into our Flutter Project
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Урок 49.
00:05:29
Run Model on Stream Frame
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Урок 50.
00:10:11
Implement Boxes Around Detected Objects Function
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Урок 51.
00:03:51
Finishing the App and Testing the App
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Урок 52.
00:03:12
Create and Setup Project
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Урок 53.
00:05:31
Add Splash Screen
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Урок 54.
00:01:17
Create Home Page
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Урок 55.
00:07:06
Implement Live Camera Function
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Урок 56.
00:05:04
Add Model and Load Model
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Урок 57.
00:02:27
Run Model on Stream Frame
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Урок 58.
00:08:01
Finish the App and Testing the App
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Урок 59.
00:02:25
Create Project & Setup Everything
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Урок 60.
00:07:16
Add Splash Screen
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Урок 61.
00:01:06
Create Home Page
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Урок 62.
00:06:12
Initialise Live Camera
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Урок 63.
00:09:56
Implement Live Camera Function
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Урок 64.
00:05:27
Add Model in our Project and Load Model
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Урок 65.
00:06:43
Run Model on Camera Stream Frames
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Урок 66.
00:03:49
Finish the App and Testing the App
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Урок 67.
00:02:09
Create and Setup New Project
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Урок 68.
00:04:49
Splash Screen
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Урок 69.
00:06:57
Implement Live Camera Feature for Dogs Breed Recognition
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Урок 70.
00:04:30
Load Model and Run Model for Dog's Breed Live Identification
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Урок 71.
00:02:30
Finishing the App and Testing the App
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Урок 72.
00:03:01
Create New Project and Installing Dependencies
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Урок 73.
00:03:31
Splash Screen
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Урок 74.
00:04:13
Implement Live Camera Feature
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Урок 75.
00:03:02
Load Model and Run Model
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Урок 76.
00:01:25
Finishing the App and Testing the App
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Урок 77.
00:04:01
Create and Setup Project
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Урок 78.
00:03:22
Add Splash Screen
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Урок 79.
00:07:26
Google ML Vision Setup
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Урок 80.
00:08:47
Home Page
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Урок 81.
00:05:10
Implement Pick Image and Capture Image Function
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Урок 82.
00:05:32
Finishing the App and Testing the App
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Урок 83.
00:02:10
Create and Setup Project
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Урок 84.
00:03:25
Add Splash Screen and Installing Dependencies
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Урок 85.
00:07:52
Setup the Google Machine Learning Vision
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Урок 86.
00:11:59
Image Stream Frame Scanner Utils
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Урок 87.
00:11:39
Implement Live Camera Stream Feature
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Урок 88.
00:05:17
Toggle between Front Camera and Back Camera
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Урок 89.
00:03:19
Perform Face Detection on Camera Stream Frame
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Урок 90.
00:10:38
Draw Rectangles around All Detected Faces in Live Camera Stream Frame
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Урок 91.
00:02:00
Finishing the app and Testing the app