ValueError: operands could not be broadcast together with shapes (896,896,4) (3,) (896,896,4) about ocr_tablenet

[JKYang01]

some follow ups:
I tried another way to crop the table. I transferred the pdf page into a .png file and save the table as a crop image of the pdf image.
the output picture is like this:

and I tried the detection again:
python predict.py --model_weights='./tablenet_pretrained.ckpt' --image_path='./sample_table/test3_table_2.png'

it doesn't give me the error, but feed back with an empty list.
[]

That means the model cannot detect a table on the picture if the picture is the table (lol). I think probably the model is more use to see a table in side of a context (according to the training data).

Another thing I found is, if the pdf page have tables that connects to each other, the model will struggle to identify them as different tables, it will read those tables . and in data I am doing the processing, most of the pdf page have the tables that connects to each other.