How to run YOLOv5 in real time with an infrared camera

[Jongjae-Lee]

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Question

Hi, I'm trying to run YOLOv5 in real time with an infrared camera(16-bit grayscale camera).

When I type "python detect.py --source 0", it makes " MFVideoFormat_RGB32(codec not found) ", " AttributeError: 'NoneType' object has no attribute 'shape' " error.

If I run with a normal webcam, it works well. What is the problem?

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[github-actions[bot]]

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[Jongjae-Lee]

It works with an infrared images like this

but it doesn't work in real-time

[bit-scientist]

@Jongjae-Lee , does your IR camera provide a 4-channel stream? In that case you may need to split RGB and IR into two, and only provide RGB to cv2.VideoCapture method in line 324 of detect.py.

[glenn-jocher]

@Jongjae-Lee n-channel training and deployment are not officially supported yet, but you could make modifications yourself throughout the dataloaders to support this.

[Jongjae-Lee]

@glenn-jocher Is there no official support for 1-channel training and deployment?

[Jongjae-Lee]

@bit-scientist Thank you for the comment. Unfortunately, my camera only provides 1-channel stream. OTL

[glenn-jocher]

@Jongjae-Lee yes, 1ch datasets and mixed 1ch/3ch datasets (like COCO) are handled automatically. The dataloaders will upscale 1ch images to 3ch by default.

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