Guide on transforming the best.pt model of YOLOv8s into JavaScript

After successfully training a custom dataset on YOLOv8s model using Google Colab, I now have the best.pt file that I want to integrate into a web app via JavaScript. I've come across mentions of TensorFlow.js as a potential solution, but I'm still unsure how to proceed with the conversion process.

If anyone can provide guidance or point me towards a helpful resource explaining how to adapt the model for browser-based execution through JavaScript, I would greatly appreciate it. Thank you in advance.

javascripttensorflowpytorchyolov8

Answer №1

To convert a YOLOv8 model into the TF.js format, you can follow the steps outlined in the official Ultralytics documentation:

from ultralytics import YOLO

model = YOLO('best.pt')
model.export(format='tfjs', imgsz=640, half=False, int8=False)

It's important to note that the TensorFlow version used for this conversion process is crucial. For Google Colab users, a current workaround involves reinstalling TensorFlow with the following command:

!pip install tensorflow==2.13.0rc0

After reinstalling TensorFlow, proceed with running the model export script. The resulting files will be stored in the /yolov8n_web_model directory:

/content/yolov8n_web_model

group1-shard1of4.bin
group1-shard2of4.bin
group1-shard3of4.bin
group1-shard4of4.bin
metadata.yaml
model.json

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