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Edje Electronics

チャンネル登録者数 3.8万人

20万 回視聴 ・ 3938いいね ・ 2023/02/13

Let's train, export, and deploy a TensorFlow Lite object detection model on the Raspberry Pi - all through a web browser using Google Colab! We'll walk through a Colab notebook that provides start-to-finish code and instructions for training a custom TFLite model, and then show how to run it on a Raspberry Pi. The notebook uses the TensorFlow Object Detection API to train SSD-MobileNet or EfficientDet models and converts them to TFLite format.

Click this link to the Colab notebook to get started: colab.research.google.com/github/EdjeElectronics/T…

WARNING: Google deprecated the TensorFlow Object Detection API over two years ago. For the sake of legacy code, I've kept this training notebook on life support through various hacks and band-aid fixes, and it is prone to stop working at any point. I will not be providing further support for this video or training notebook.

I highly recommend using the newer PyTorch-based Ultralytics YOLO models for object detection. They perform better and they're much easier to work with. See my video tutorial on how to train YOLO detection models here.    • How to Train YOLO Object Detection Models ...  

-- Other Links --

📸 How to capture and label training data for object detection models:    • How to Capture and Label Training Data to ...  

🏅 TFLite model comparison article: ejtech.io/learn/tflite-object-detection-model-comp…

🍓 Instructions to set up TFLite on the Raspberry Pi:    • How To Run TensorFlow Lite on Raspberry Pi...  

💻 Instructions to run TFLite models on Windows: github.com/EdjeElectronics/TensorFlow-Lite-Object-…

🐜 How to quantize your TFLite model: Still to come!

📄 TFLite GitHub repository: github.com/EdjeElectronics/TensorFlow-Lite-Object-…

-- Chapters --

0:00 Introduction
1:06 Google Colab
1:41 1. Gather Training Images
3:22 2. Install TensorFlow
4:43 3. Upload Images and Prepare Data
8:41 4. Set up Training Configuration
11:20 5. Train Model
13:48 6. Convert Model to TFLite
14:20 7. Test Model
17:50 8. Deploy Model
22:07 9. Quantization
22:30 Conclusion

-- Music --

Blue Wednesday – Japanese Garden
Provided by Lofi Records
Watch:    • Video  
Download/Stream: fanlink.to/Discovery

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