Description
thank you for opening good code!
I have a question.
I implemented your code successfully and viusalized.
but in the visualization image, there is no relationship name.
so I modified your code to get triplet(object1, relationship, object2)
and I got the result.
(I set the relation score threshold = 0.03 as compared to yours 0
sg_eval.py]
line 45 (it may be some different)
rel_score_threshold = float(0.03)
sorted_inds = np.argsort(-scores)
sorted_inds = sorted_inds[scores[sorted_inds] > rel_score_threshold] #[:100]
)
, I used top_prediction object labels and got 923 top triplets
I showed you the part of result in summary.
pant_wearing_jacket
street_on_bus
bus_on_street
sign_on_street
street_on_street
pole_on_street
street_on_sign
pant_wearing_woman
pant_on_street
man_wearing_pant
door_on_bus
street_on_bag
pole_on_sign
woman_wearing_bag
sign_on_bag
bag_wearing_man
jacket_on_street
windshield_on_street
jacket_wearing_woman
jacket_wearing_man
bus_on_bus
sign_on_street
window_on_bus
door_on_street
tire_on_bus
pant_on_bus
window_on_bus
woman_on_street
street_on_window
man_on_street
sign_on_bag
pole_on_sign
bus_on_window
bus_on_sidewalk
sidewalk_on_bus
street_on_sidewalk
tire_on_street
bus_on_sign
woman_wearing_woman
man_wearing_woman
bus_on_light
window_on_street
light_on_street
window_on_door
door_on_window
street_on_window
pant_wearing_person
sign_on_sign
tree_on_street
sign_on_windshield
light_on_bus
bag_on_bus
sign_on_light
bus_on_door
bag_wearing_jacket
person_wearing_bag
street_on_window
bus_on_man
roof_on_street
person_wearing_jacket
pole_on_bus
bus_on_windshield
bus_on_woman
bus_on_jacket
sign_on_window
windshield_on_light
window_on_sidewalk
pole_on_bus
sign_on_sidewalk
sidewalk_on_pant
sign_on_sign
door_on_sidewalk
street_on_building
sidewalk_on_windshield
bag_on_sidewalk
sign_on_window
man_on_bus
sidewalk_on_sign
window_on_door
pant_on_bus
pole_on_sidewalk
street_on_person
window_on_sign
pant_on_roof
window_on_bus
sign_on_bus
pant_wearing_pole
hair_on_street
tire_on_sidewalk
sign_on_sign
bus_on_bag
sign_on_bus
bus_on_woman
man_wearing_person
sidewalk_on_jacket
woman_wearing_person
sign_on_light
pole_on_bag
pole_on_window
bus_on_windshield
door_on_street
bus_on_tree
bag_on_window
tire_on_door
tire_on_bus
street_on_bus
sign_on_windshield
hair_wearing_man
sidewalk_on_sign
bus_on_window
hair_wearing_woman
pant_on_building
hair_wearing_pant
pant_wearing_door
pole_on_street
window_on_sign
pant_wearin
I think it is something different from your paper and the most relationship consist of 'on'.
which variable I have to use to get relationship efficiently corresponding to top_predictions?
thank you Jianwei Yang.