Error reported when setting model single channel ch: 1 about ultralytics HOT 8 OPEN

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Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

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from ultralytics.

@zqstdy hello! Thanks for reaching out and detailing the issue you encountered with the single-channel input setup. From what you have described and the screenshots, it seems like there might be something specific about the configuration causing this problem.

Could you please share the configuration snippet you used, especially around input resolutions and channel settings? Also, enabling channels for one might require checking the compatibility of subsequent layers or operations specific to single-channel data. Here's a brief example of how you set the channels to 1 in your data configuration file:

# Inside the YAML data configuration file
nc: 1  # number of channels

Furthermore, ensure your preprocessing steps, if any, are converting images to grayscale correctly (assuming you are using grayscale images for a 1-channel model). For now, verifying your data preprocessing steps and the configuration snippet would be helpful to further diagnose this.

Looking forward to your response!

from ultralytics.

A grayscale image with a size of 640 * 640

Then I want to train the model as a single channel grayscale image, rather than a three channel BGR
Can we currently achieve such a demand?

from ultralytics.

Hello! Yes, you can train a YOLOv8 model with single-channel grayscale images. Make sure your dataset images are properly converted to grayscale and that your model configuration is set to handle one channel.

In your data.yaml, set the number of channels like this:

nc: 1  # number of channels

And ensure your preprocessing converts images to grayscale. If using custom data loading or preprocessing scripts, here’s a simple way to convert an image to grayscale with OpenCV:

import cv2
image = cv2.imread('path_to_image')
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

This should help you set up training for single-channel images! Let us know if you have more questions. 😊

from ultralytics.

First of all, thank you for your reply
nc: 1
As far as I know, the number of categories is set, and the number of channels cannot be changed

ch: 1
The number of channels can be changed, but training will report an error

I hope to use single channel training to improve the inference efficiency of the model

You can do some related testing, but I haven't found any code for single channel processing in the source code yet

from ultralytics.