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I successfully ran inferencer.py to test my own dataset, which includes images collected from various online maps. Two sample images from the dataset are displayed below. To align with the images in Cityscale, I resized all my images to 2024x2024 pixels.
However, I observed poor results, suggesting the algorithm did not perform well. One sample images from the results is displayed below. I guess that adjusting the YAML parameters appropriately might improve the outcome. Could you please provide a more detailed explanation of these parameters and their functions?
The text was updated successfully, but these errors were encountered:
Hi, first of all, I think you may want to try to scale the images such that they are 1.0m / pixel. That's how these checkpoints are trained. Can you give this a try first?
I successfully ran inferencer.py to test my own dataset, which includes images collected from various online maps. Two sample images from the dataset are displayed below. To align with the images in Cityscale, I resized all my images to 2024x2024 pixels.
However, I observed poor results, suggesting the algorithm did not perform well. One sample images from the results is displayed below. I guess that adjusting the YAML parameters appropriately might improve the outcome. Could you please provide a more detailed explanation of these parameters and their functions?
The text was updated successfully, but these errors were encountered: