Mr.Li

> Hi, I use the 'detection.json' file in the output folder to generate a similar propfile with bsn_test_prop_file in PGCN. However, I got lower results than the original results of...

> I meet the same problem, did you solve it? thanks u!! Hi, Could you share your code for generating the propfile with bsn_test_prop_file?

> Postprocessing without conducting NMS might be help. Hi, Could you share your code for generating the propfile with bsn_test_prop_file?

> Hello @mrlihellohorld , please check the post-processing code that uses this file: > > https://github.com/frostinassiky/gtad/blob/6deb5b1bc6883b48bd22e0cc593069643c953e3d/gtad_postprocess.py#L106 > > The video classification scores help to assign class labels and reweight the...

> Sorry for the confusing sentence. Your understand is correct. > 1, To decide the class label (or tag), we need to find the top-k classification scores. > 2, From...

I don't quite understand you said. Could you please explain it more clearly? Thank you

Why is "pytracking/evaluation/local.py" not in the downloaded file?thanks

请问Video Salient Object Detection任务的评价指标计算代码参考的哪里啊 我看原始项目没有

> Hi, I haven't met this error. But I found a related issue and a solution [tensorflow/models#5003 (comment)](https://github.com/tensorflow/models/issues/5003#issuecomment-485274023): > > > A "_Key Conv/biases not found in checkpoint_" error also...

> Hi, I think you could treat the process as testing stage. You can pre-process the video and predict labels for it with your trained model with [the testing function](https://github.com/HYPJUDY/Decouple-SSAD/blob/master/decouple_ssad.py#L262)....