Comments (3)
Hi @jinyeom , thanks for your interest in DETR! the demo model was trained with an older version of the code, the hyperparameters were a bit different, on 8 nodes with batch size 1 for 700 epochs.
why does the batch size have to be 1?
It's just for simplicity, as dealing with masking would require additional code. With our baseline model (not the demo), what we observe is that if a model was trained with batch size 1, when we evaluate with more than 1 im/gpu the AP drops significantly, presumably due to boundary effects for which the model was not trained for. If we train with more than 1, and evaluate with a different number of images, including 1, there is some variation but it's not significant.
Hope this helps.
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I'm closing the issue following @szagoruyko comments, but please let us know if you have further questions!
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That definitely helped :) Thanks for the explanation!
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Related Issues (20)
- Question about object queries. HOT 4
- I want to train the DETR model on a CPU. How can I make it possible on a small computer, 8gb RAM HOT 3
- Why positional encoding is added to different role in encoder and decoder. HOT 1
- 🐛 Bug: Architecture diagram in README.md renders incorrectly when using dark mode
- continue training with chekckpoint
- How to finetune DETR for semantic segmentation task?
- I do not understand what the mask meaning in "samlpes"
- Process finished with exit code 137 (interrupted by signal 9: SIGKILL)Please read & provide the following
- Very low performance for segmentation task.
- box_cxcywh_to_xyxy
- ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -9) local_rank: 6 (pid: 257736) of binary: /home/public/anaconda3/envs/DL/bin/python
- Average Precision of each class for best epoch and then it's mean HOT 1
- the mAP is chage
- I think there are some errors in the posted code HOT 6
- Queries for images with low number of objects HOT 2
- RuntimeError: Error(s) in loading state_dict for DETRsegm: HOT 2
- Map metrics anomalies after backbone replacement
- when the trained model is used for inference this import error comes: RuntimeError: Failed to import transformers.models.detr.modeling_detr because of the following error (look up to see its traceback): cannot import name 'experimental_functions_run_eagerly' from 'tensorflow.python.eager.def_function' (C:\Anaconda\lib\site-packages\tensorflow\python\eager\def_function.py)
- Get Image masks coordinates.
- GFLOPs instead of GFLOPS?
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