Bug : Model can't detect all the labels in a given class

[nv-vankit]

The second example in the readme (https://github.com/nv-vankit/nanoowl) says we're giving a single threshold for this single class. But however, It looks like the single threshold given to the single class doesn't detect the inner multi labels. Like in this example 2 prompt, we're having single class label "owl" and inside that we're detecting the region of interest "wing, eye". But given the code, it's only detecting wings, not eyes.

The example from the readme is as follows :
python3 tree_predict.py
--prompt="[an owl [a wing, an eye]]"
--threshold=0.15
--image_encoder_engine=../data/owl_image_encoder_patch32.engine

The output image has been attached.