Specific image requirements

[drsanjayrana]

Hi,

This looks quite impressive but I can't seem to be able to get it to work for any image other than your examples.
Parts.90_boundaries_outer.zip. For the cases where it does work, the output looks quite different to the image. I was wondering if the input data has to be of a certain format, colour etc.

error trace for my own image as below:

python maptrace.py -c Parts.90_boundaries_outer.tif

found 0 labels computing areas... Traceback (most recent call last): File "maptrace.py", line 1109, in main() File "maptrace.py", line 1094, in main num_labels, labels, slices, colors = get_labels_and_colors(mask, opts) File "maptrace.py", line 625, in get_labels_and_colors areas, bins = np.histogram(labels.flatten(), bins=num_labels, range=(1, num_labels + 1)) File "C:\Anaconda3\lib\site-packages\numpy\lib\function_base.py", line 721, in histogram raise ValueError('bins must be positive, when an integer') ValueError: bins must be positive, when an integer

Sanjay.

[RRYontz]

My initial guess, since your source image is a 24MB tiff, is that it is a "MULTI-MEGAPIXEL IMAGE" (see 3rd bullet in the README.md file) and not supported. I too am wanting to trace a multi-megapixel image and am hopeful that after studying this for a bit, I might be able to find a way to apply this to the larger images. I am not worried about the speed at the moment, but need a good automated tool to process batch scans of engineering plans.