suryafyi

@sagarkar10 , were you able to find a solution for this? I face the same problem with tiny-yolov3. Some detections are missing with the tf implementation.

This stackoverflow answer might help you to run ROLO with the newer versions of tensorflow http://stackoverflow.com/questions/41789133/c-state-and-m-state-in-tensorflow-lstm

He separates out the target of interest from the rest by applying IoU of all​ detection rectangles with ground truth values and selecting the rectangle with max IoU score. This...

@rishabh135 It is most likely the `yolo_out` folder doesn't exist for the sequence `os` is looking for.

If you want to use the vanilla ROLO network, you must have a dataset curated to suit the needs of the default code. Take a look at the code `3rd...

> @masoumeh1 Do I have to manually take my video , and run yolo on it and put that output of frames with bounding boxes in yolo_out ? Yes, you...

Simply follow the sample groundtruth format as found in [http://guanghan.info/projects/ROLO/DATA/DATA.zip](DATA.zip)

It unreasonable and rhetoric. Asking for GT during testing - and if not used for accuracy calculation - would bring on the wrath of any machine learning scientist. Although, due...

Using GT in test is 'faulty'. Among all YOLO detections, it chooses one detection (target) from all frames to track by IoU. This is 'separating out the target'

I get the same error while trying to use the converted weights on the network. Any possible workaround to this problem? @haoran1062 Were you able to find a solution?