Comments (5)
@fcakyon Sorry for the late reply.
This seems like an implementation bug. @GT9505, can you take a look at this config?
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Hi @fcakyon, num_ref_imgs
means the number of reference images you want to sample (output).
frame_range
means the frame intervals to sample the images and filter_key_img
means whether you will put the keyframe into the sampling candidates.
For example, a key image locates at frame t. If frame_range == 2
, the sampling candidates will be the images in t-2 -> t+2
. filter_key_img
decides whether t
exists in sampling candidates.
from mmtracking.
@OceanPang thanks for the fast response.
So when num_ref_imgs=2, frame_range=0, filter_key_img=True
as in here, the number of reference images you want to sample (output) is 2
and sampling candidates will be the images in t -> t
. How does that work out?
from mmtracking.
The code for sampling reference images is in here.
This is a bug, which may introduce some misunderstanding, in the vid config. The filter_key_img
should be False
, when the training data is images rather than videos. But it don't change the output of the function, since the function directly copy the input image with num_ref_imgs
times, as long as frame_range=0
.
We will fix it in next PR.
from mmtracking.
@GT9505 thanks for the feedback.
from mmtracking.
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