Comments (4)
when following your steps,
could you elaborate it by copy-paste your code here, thanks
from docarray.
from docarray.
based on the part of your code, I'm guessing your input images are not in the same shape, instead they are arbitrary size images. And if I'm correct about it, you need to add a preprocessing step to resize the images. You can do it by:
d = Document()
d.set_image_blob_shape(shape=(128, 128))
If you are working with DocumentArray as in README, then
from docarray import Document
def preproc(d: Document):
return (d.load_uri_to_image_blob() # load
.set_image_blob_shape(shape=(128, 128)) # <----- ADD to unify the shape, 128 is just an example, use whatever makes sense to you
.set_image_blob_normalization() # normalize color
.set_image_blob_channel_axis(-1, 0)) # switch color axis for the pytorch model later
from docarray.
Thank you!
from docarray.
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from docarray.