Object detection with custom YOLOv5 model about yolov8-streamlit-detection-tracking HOT 4 CLOSED

Hi, You just need to do two simple steps:

1: Place the model (Your custom model .pt file) inside the weights folder

2: Add the name of the weight pt file inside settings.py

# ML Model config
MODEL_DIR = ROOT / 'weights'
# DETECTION_MODEL = MODEL_DIR / 'yolov8n.pt' # Comment out this line and

# Place your custom model pt file name here
DETECTION_MODEL = MODEL_DIR / 'my_detection_model.pt'

from yolov8-streamlit-detection-tracking.

Dear sir @CodingMantras,
I followed your guide but I faced this error.
Please let me know how to fix it.
Thank you.

ERROR ❌️ weights/best_IWIS23.pt appears to be an Ultralytics YOLOv5 model originally trained with https://github.com/ultralytics/yolov5. This model is NOT forwards compatible with YOLOv8 at https://github.com/ultralytics/ultralytics. Recommend fixes are to train a new model using the latest 'ultralytics' package or to run a command with an official YOLOv8 model, i.e. 'yolo predict model=yolov8n.pt'

from yolov8-streamlit-detection-tracking.

This repo is created using the yolov8 code and it is obvious from the ERROR that, the yolov5 trained model will not work here. You can use a model trained with yolov8 train.py in this case.

from yolov8-streamlit-detection-tracking.

Dear @CodingMantras,
I got it.
Thank you very much.

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