TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi
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A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
**Help Wanted!** The example training dataset in the [Google Colab tutorial](https://colab.research.google.com/github/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Train_TFLite2_Object_Detction_Model.ipynb) uses images of coins from the United States. I like using coins as an example, because it's easy for...
TF1 Colab - RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
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I tried to follow your explanation for setting up the Raspberry Pi with a USB-Webcam and I think it works out well. But it works only when I use the...
Hi, I would like to ask about compatibility these example with other tflite, exported at the Azure Custom Vision. To train my custom dataset, I used MS Azure Custom Vision....
When switching from the legacy camera stack under Raspberry Pi OS with debian 10 to the new libcamera camera stack (in Raspberry Pi OS with debian 11 it is standard),...
I have successfully trained my custom model and used it for object detection. However, I am facing a slight issue regarding the if-else condition on my custom model. I only...
I wants to detect only person, how to modify the existing code?
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I kinda wanted to save some time as i had a deadline so i went to teachable machine to train a small object detection classifier and downloaded the model.tflite file...