object detection piéce metalique with camera basler

[ninja8756]

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Question

Hi ✌ I am working on object Detection with yolov5 and I want to use basler camera to detect objects. how can I do that and get frames from the Basler camera and make detection?

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[UltralyticsAssistant]

👋 Hello @ninja8756, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a ❓ Question about using the Basler camera with YOLOv5, please ensure you have the necessary software to interface with your camera (e.g., Basler's pypylon library for Python) and integrate it to capture frames for processing. If you encounter issues during integration, try sharing some additional details like setup code snippets, errors, or steps causing difficulties, so we can better assist you.

If you believe this is a 🐛 Bug Report, please provide a minimum reproducible example (MRE), including code and steps to reproduce the issue, as well as details on your environment setup.

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Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:

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cd yolov5
pip install -r requirements.txt  # install

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Please note this is an automated response. An Ultralytics engineer will review your question and provide further assistance as soon as possible. Thank you for your patience! 😊

[pderrenger]

@ninja8756 to integrate a Basler camera with YOLOv5 for object detection, you can use the pypylon library to capture frames and pass them to YOLOv5. Here's a minimal example:

from ultralytics import YOLO
from pypylon import pylon

model = YOLO("yolov5s.pt")  # Load YOLOv5 model
camera = pylon.InstantCamera(pylon.TlFactory.GetInstance().CreateFirstDevice())
camera.StartGrabbing(pylon.GrabStrategy_LatestImageOnly)

while camera.IsGrabbing():
    grabResult = camera.RetrieveResult(5000, pylon.TimeoutHandling_ThrowException)
    if grabResult.GrabSucceeded():
        img = grabResult.Array  # Get numpy array
        results = model.predict(img)  # YOLOv5 inference
        results[0].show()

Install pypylon: pip install pypylon. For more details, see the Ultralytics YOLOv5 Predict documentation. Adjust camera settings as needed via Basler's Pylon API.

[github-actions[bot]]

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