DetectionTeamUCAS / DetectionTeamUCAS/Cascade-RCNN_Tensorflow
rpn_loc_loss is nan, fast_rcnn_loc_loss is 0.0
- Dominant language
- Jupyter Notebook
- Stars
- 90
- Forks
- 31
- PR merge metrics
- No merged PRs in 30d
Description
I have changed the database and converted to tfrecords . when i run it for minutes, fast_rcnn_loc_loss become 0.0 rpn_loc_loss become nan.
``

for t_w = np.log(w/reference_w), I have check picture ,w >0 .So I think reference_w is wrong, I don't know how to modify it .Ask for your help.
Contributor guide
No contributing guide indexed for this repository
Research direction
Reproduce the training run after the database change and TFRecord conversion, then trace the reported rpn_loc_loss and fast_rcnn_loc_loss values through the training entry points. Done means identifying the input or calculation that produces NaN and zero and confirming corrected loss values in a subsequent run.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100