Comments (3)
From what I can tell from manual inspection of the data and one of the evaluation scripts:
seg_swin(:,1) % is video id
seg_swin(:,2) % is sample rate
seg_swin(:,3) % is first frame of window
seg_swin(:,4) % is last frame of window
seg_swin(:,5) % is start time of window (in s)
seg_swin(:,6) % is end time of window (in s)
seg_swin(:,7) % is always 0 in both res_seg_swin.mats
seg_swin(:,8) % is always 0 in both res_seg_swin.mats
seg_swin(:,9) % is final confidence in box (only for network_classification/result/res_seg_swin; otherwise 0)
seg_swin(:,10) % is confidence in box for network_proposal/result/res_seg_swin.mat; otherwise 0
seg_swin(:,11) % is the class; 0 in network_proposal/result/res_seg_swin.mat
seg_swin(:,12) % is always 0.25 in both res_seg_swin.mats; perhaps the iou with the previous segment?
seg_swin(:,13) % is always 0 in both res_seg_swin.mats
seg_swin(:,14) % is always 0 in both res_seg_swin.mats
There does not appear to be any script in the repo that creates this file.
from scnn.
Actually, there does seem to be some code that creates a seg_swin.mat: https://github.com/zhengshou/scnn/blob/master/demo/run_demo.m
There is no information on seg_swin(:,[7 8 13 14]), so I guess we can ignore them?
And to answer the question: "what does the file used for?", you can use it to run the evaluation script linked in my previous message to get the final mAP.
from scnn.
Hi,
Sorry for the late reply.
We have already explained in the readme file what does each column in this mat file mean.
Yes, you can ignore [7 8 13 14].
from scnn.
Related Issues (20)
- demo problem HOT 2
- issue about demo result HOT 1
- Changes to VideoDataLayer break test cases for C3D HOT 1
- extract_image_features.bin HOT 3
- The question about eval result HOT 2
- The problem of the run_demo.m and the demo_list_test_uniform16_proposal.lst HOT 2
- Question of the training details of training my own models
- Possible to share the results file for THUMOS14 test? HOT 2
- Cannot use C3D v1.1 for demo HOT 3
- prob files in pred/pro/output/ are not created HOT 5
- the outputs of proposal network (probabilities of proposals) are same and very low HOT 1
- MEXaction2 HOT 1
- run demo problem about 000001.prob
- Why not use cls network in prediction?
- how windows 10 ?
- !@
- Bug in run_demo.py at line 194.
- label tool
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from scnn.