cv-model-pt_to_hef/README.md

👀 cv-model-pt_to_hef Overview

Convert Computer Vision model .pt to .hef for Rasberry Pi 5 Hailo AI HAT

🔎 Preparation

1. Go to theHAILO AI DEVELOPER ZONEadress and download .zip file with this configration: Software Package[AI Software Suite], Software Sub-Package[AI Software Suite], Architecture[x86], OS[Linux], Python Version[3.8]
2. In model training, place 60%–80% of the photos you use into the train/images folder. The photos should be raw, unlabelled images — there should be no labeling process applied to them. You don’t need labels or a classes.txt file; only the images folder is required.

3. Get your .pt model and convert it to .onnx

1. Run this .py code at the same directory with your .pt model:

!pip install ultralytics
from ultralytics import YOLO

model = YOLO("model.pt")
model.export(format="onnx")

3. Start a chat with BotFather by typing /start.
4. Create a new bot with the /newbot command.
5. Follow the prompts to name your bot and choose a username.
6. Copy the API token provided by BotFather.

📦 Setup

1. ``

🎉 Run

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