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Название Flutter Artificial Intelligence Course - Build 15+ AI Apps
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[TGx]Downloaded from torrentgalaxy.to .txt 585б
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1 94б
1.1 icon.jpg 58.05Кб
1.2 background.jpg 392.58Кб
1. Ceating and Setting up the project.mp4 30.55Мб
1. Ceating and Setting up the project.srt 3.58Кб
1. Course Introduction.mp4 136.52Мб
1. Course Introduction.srt 6.70Кб
1. Create and Setting up Project.mp4 22.84Мб
1. Create and Setting up Project.srt 2.10Кб
1. Create and Setup New Project.mp4 27.86Мб
1. Create and Setup New Project.mp4 21.71Мб
1. Create and Setup New Project.srt 2.16Кб
1. Create and Setup New Project.srt 1.88Кб
1. Create and Setup Project.mp4 28.63Мб
1. Create and Setup Project.mp4 21.50Мб
1. Create and Setup Project.srt 2.10Кб
1. Create and Setup Project.srt 1.94Кб
1. create new project.mp4 22.40Мб
1. create new project.srt 1.71Кб
1. Create New Project and Installing Dependencies.mp4 29.93Мб
1. Create New Project and Installing Dependencies.srt 2.82Кб
1. Create Project & Setup Everything.mp4 24.15Мб
1. Create Project & Setup Everything.srt 2.11Кб
1. Creating Project and Installing Dependences.mp4 33.15Мб
1. Creating Project and Installing Dependences.srt 4.31Кб
1. For Windows Users - Flutter Complete Setup.mp4 113.66Мб
1. For Windows Users - Flutter Complete Setup.srt 20.56Кб
1. Setup the Project & Everything.mp4 38.04Мб
1. Setup the Project & Everything.srt 3.57Кб
1. Setup the Project Ui & Everything.mp4 53.71Мб
1. Setup the Project Ui & Everything.srt 6.93Кб
1. We are also adding new 3 Apps till next week..html 55б
10 39.76Кб
10. Implement Live Camera Stream Function.mp4 133.96Мб
10. Implement Live Camera Stream Function.srt 14.62Кб
11 383.23Кб
11. Finalising the App and Testing the App.mp4 206.03Мб
11. Finalising the App and Testing the App.srt 23.03Кб
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2 4.48Кб
2.1 camera.jpg 51.46Кб
2.1 cat_dog_icon.png 42.42Кб
2.1 frame.jpg 37.91Кб
2.1 fruits.png 33.73Кб
2.1 icon.jpg 58.05Кб
2.1 icon.png 19.96Кб
2.1 jarvis.jpg 190.83Кб
2.1 labels.txt 80б
2.1 splash.png 37.73Кб
2.1 start.png 17.61Кб
2.2 back.jpg 109.89Кб
2.2 back.jpg 323.98Кб
2.2 back.jpg 59.41Кб
2.2 background.jpg 392.58Кб
2.2 face.jpg 66.79Кб
2.2 jarvis.jpg 133.37Кб
2.2 model_unquant.tflite 2.05Мб
2.3 camera.jpg 51.46Кб
2.3 dog.png 42.79Кб
2.3 frame.jpg 93.85Кб
2.3 stop.png 3.82Кб
2. Adding SplashScreen.mp4 77.95Мб
2. Adding SplashScreen.srt 10.10Кб
2. Add Splash Screen.mp4 58.87Мб
2. Add Splash Screen.mp4 54.36Мб
2. Add Splash Screen.mp4 48.57Мб
2. Add Splash Screen.mp4 43.98Мб
2. Add Splash Screen.srt 8.37Кб
2. Add Splash Screen.srt 8.30Кб
2. Add Splash Screen.srt 6.64Кб
2. Add Splash Screen.srt 5.71Кб
2. Add Splash Screen and Installing Dependencies.mp4 29.60Мб
2. Add Splash Screen and Installing Dependencies.srt 3.63Кб
2. Completing the SplashScreen.mp4 78.38Мб
2. Completing the SplashScreen.srt 10.42Кб
2. Download Dataset and Training our Model.mp4 61.49Мб
2. Download Dataset and Training our Model.srt 8.31Кб
2. For MAC Users - Flutter Complete Setup.mp4 318.88Мб
2. For MAC Users - Flutter Complete Setup.srt 29.24Кб
2. Installing TfLite in our App.mp4 17.55Мб
2. Installing TfLite in our App.srt 2.26Кб
2. Install Required Packages.mp4 28.12Мб
2. Install Required Packages.srt 3.63Кб
2. Splash Screen.mp4 40.79Мб
2. Splash Screen.mp4 29.71Мб
2. Splash Screen.srt 5.53Кб
2. Splash Screen.srt 4.15Кб
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3.1 camera.jpg 51.46Кб
3.1 cat_dog_icon.png 42.42Кб
3.1 icon.jpg 58.05Кб
3.1 labels.txt 22б
3.2 background.jpg 392.58Кб
3.2 jarvis.jpg 133.37Кб
3.2 model_unquant.tflite 2.05Мб
3. Completing the Home Page Design.mp4 116.32Мб
3. Completing the Home Page Design.srt 12.48Кб
3. Create Home Page.mp4 10.68Мб
3. Create Home Page.mp4 7.80Мб
3. Create Home Page.srt 1.06Кб
3. Create Home Page.srt 1.05Кб
3. Creating Home Page.mp4 35.70Мб
3. Creating Home Page.srt 4.35Кб
3. Downloading our Dataset and Training our Model.mp4 51.29Мб
3. Downloading our Dataset and Training our Model.srt 6.51Кб
3. HomeScreen part 1.mp4 61.28Мб
3. HomeScreen part 1.srt 6.92Кб
3. Implement Live Camera Feature.mp4 120.13Мб
3. Implement Live Camera Feature.mp4 33.82Мб
3. Implement Live Camera Feature.srt 13.59Кб
3. Implement Live Camera Feature.srt 4.14Кб
3. Implement Live Camera Feature for Dogs Breed Recognition.mp4 56.52Мб
3. Implement Live Camera Feature for Dogs Breed Recognition.srt 7.06Кб
3. Implement Live Camera Function.mp4 88.63Мб
3. Implement Live Camera Function.srt 8.68Кб
3. Installing TfLite in our application.mp4 19.23Мб
3. Installing TfLite in our application.srt 2.45Кб
3. Setup the Google Machine Learning Vision.mp4 67.76Мб
3. Setup the Google Machine Learning Vision.srt 7.92Кб
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4.1 cat_dog_icon.png 42.42Кб
4.1 jarvis.jpg 133.37Кб
4.1 labels.txt 22б
4.1 labelsfruits.txt 81б
4.1 model.tflite 9.03Мб
4.1 ssd_mobilenet.txt 665б
4.2 camera.jpg 51.46Кб
4.2 labels.txt 1.67Кб
4.2 model.tflite 9.85Мб
4.2 modelfruits.tflite 8.56Мб
4.2 ssd_mobilenet.tflite 3.99Мб
4. Add and Load TfLite Model for Face Mask Detection.mp4 26.55Мб
4. Add and Load TfLite Model for Face Mask Detection.srt 3.13Кб
4. Add Object Detection Model to our Project.mp4 13.24Мб
4. Add Object Detection Model to our Project.srt 1.38Кб
4. Creating Funtions and Testing our app.mp4 24.56Мб
4. Creating Funtions and Testing our App.mp4 35.84Мб
4. Creating Funtions and Testing our app.srt 2.91Кб
4. Creating Funtions and Testing our App.srt 3.64Кб
4. Creating Funtions for Uploading and Capturing Photos.mp4 43.21Мб
4. Creating Funtions for Uploading and Capturing Photos.srt 5.02Кб
4. Home Page Design - Completed.mp4 123.73Мб
4. Home Page Design - Completed.srt 12.76Кб
4. HomeScreen part 2.mp4 69.27Мб
4. HomeScreen part 2.srt 6.66Кб
4. Image Stream Frame Scanner Utils.mp4 91.96Мб
4. Image Stream Frame Scanner Utils.srt 8.95Кб
4. Implement Live Camera Function.mp4 56.84Мб
4. Implement Live Camera Function.srt 6.57Кб
4. Initialise Live Camera.mp4 46.81Мб
4. Initialise Live Camera.srt 5.60Кб
4. Load Model and Run Model.mp4 26.58Мб
4. Load Model and Run Model.srt 3.24Кб
4. Load Model and Run Model for Dog's Breed Live Identification.mp4 38.64Мб
4. Load Model and Run Model for Dog's Breed Live Identification.srt 4.54Кб
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5.1 labels.txt 74б
5.1 posenet_mv1_075_float_from_checkpoints.tflite 4.81Мб
5.2 model_unquant.tflite 2.05Мб
5. Add Model and Load Model.mp4 44.24Мб
5. Add Model and Load Model.srt 5.23Кб
5. Downloading Dataset and Perform Training on Dataset - Get Trained Model.mp4 56.95Мб
5. Downloading Dataset and Perform Training on Dataset - Get Trained Model.srt 8.46Кб
5. Download Model and Training it.mp4 77.20Мб
5. Download Model and Training it.srt 11.26Кб
5. Finishing the App and Testing the App.mp4 26.38Мб
5. Finishing the App and Testing the App.mp4 16.54Мб
5. Finishing the App and Testing the App.srt 2.37Кб
5. Finishing the App and Testing the App.srt 1.18Кб
5. HomeScreen part 3.mp4 68.89Мб
5. HomeScreen part 3.srt 7.73Кб
5. Implement Live Camera Function.mp4 82.55Мб
5. Implement Live Camera Function.srt 8.91Кб
5. Implement Live Camera Stream Feature.mp4 97.65Мб
5. Implement Live Camera Stream Feature.srt 9.88Кб
5. Load Model into our Flutter Project.mp4 33.49Мб
5. Load Model into our Flutter Project.srt 4.01Кб
5. Run Model on Camera Stream Frames.mp4 32.78Мб
5. Run Model on Camera Stream Frames.srt 3.21Кб
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6.1 mobilenet_v1_1.0_224.tflite 16.12Мб
6.2 mobilenet_v1_1.0_224.txt 11.22Кб
6. Adding TFlite Functions.mp4 69.20Мб
6. Adding TFlite Functions.srt 4.21Кб
6. Add Model in our Project and Load Model.mp4 49.70Мб
6. Add Model in our Project and Load Model.srt 5.92Кб
6. Finishing the App and Testing the App.mp4 22.89Мб
6. Finishing the App and Testing the App.srt 1.66Кб
6. Implement Capture Image and Pick image from Gallery Functions.mp4 45.13Мб
6. Implement Capture Image and Pick image from Gallery Functions.srt 5.02Кб
6. Installing Tflite and ImagePicker.mp4 45.96Мб
6. Installing Tflite and ImagePicker.srt 4.59Кб
6. Run Model on Stream Frame.mp4 41.88Мб
6. Run Model on Stream Frame.mp4 19.21Мб
6. Run Model on Stream Frame.srt 4.00Кб
6. Run Model on Stream Frame.srt 2.13Кб
6. Toggle between Front Camera and Back Camera.mp4 45.25Мб
6. Toggle between Front Camera and Back Camera.srt 4.56Кб
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7. Adding Image Recognition Funtions and Testing our App.mp4 60.31Мб
7. Adding Image Recognition Funtions and Testing our App.srt 5.60Кб
7. Create API Service.mp4 45.93Мб
7. Create API Service.srt 7.24Кб
7. Creating Functions for Capturing Image and Pick Image from Gallery.mp4 23.33Мб
7. Creating Functions for Capturing Image and Pick Image from Gallery.srt 2.36Кб
7. Finish the App and Testing the App.mp4 74.84Мб
7. Finish the App and Testing the App.srt 6.84Кб
7. Implement Boxes Around Detected Objects Function.mp4 83.78Мб
7. Implement Boxes Around Detected Objects Function.srt 8.90Кб
7. Perform Face Detection on Camera Stream Frame.mp4 24.84Мб
7. Perform Face Detection on Camera Stream Frame.srt 2.76Кб
7. Run Model on Camera Stream Frames.mp4 49.35Мб
7. Run Model on Camera Stream Frames.srt 5.54Кб
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8. Completing App and Texting the App.mp4 47.96Мб
8. Completing App and Texting the App.srt 4.91Кб
8. Draw Rectangles around All Detected Faces in Live Camera Stream Frame.mp4 87.26Мб
8. Draw Rectangles around All Detected Faces in Live Camera Stream Frame.srt 8.58Кб
8. Finishing the App and Testing the App.mp4 41.06Мб
8. Finishing the App and Testing the App.srt 3.59Кб
8. Finish the App and Testing the App.mp4 38.15Мб
8. Finish the App and Testing the App.srt 3.41Кб
8. Get Image Caption Predictions Response from API.mp4 119.65Мб
8. Get Image Caption Predictions Response from API.srt 11.85Кб
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9. Calling the getResponse Function.mp4 7.87Мб
9. Calling the getResponse Function.srt 839б
9. Finishing the app and Testing the app.mp4 24.23Мб
9. Finishing the app and Testing the app.srt 2.10Кб
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TutsNode.com.txt 63б