Comments (1)
Hi @mamunir,
During the evaluation stage, our code will evaluate the result in mAP and save it as a JSON file (COCO format).
After that, you can plot the result or do anything else via the COCO API with the saved file.
Let me know if you have any further questions!
Cheng-Chun
from everypixelmatters.
Related Issues (20)
- some question about baseline
- Error: size mismatch when using the pretained model
- why does the 'atten_map' need another sigmoid ?
- Data augmentation?
- Unable to download weight HOT 2
- pytorch version 1.3.0 is not available on the official website and unable to install it. what is the alternate solution? HOT 6
- Can i use ResNet-101 for training in single GPU?
- google drive link doesn't work HOT 3
- Data annotation link is not available
- Model link is not work HOT 1
- Couldn t find a setup script in /tmp/easy_install-2xsxsqeq/scikit_image-0.20.0.tar.gz HOT 1
- checkpoint link expire HOT 1
- ValueError: bbox should have 2 dimensions, got 1 HOT 1
- Confirmation of the step parameter in the config files HOT 4
- can you provide the training log of cityscapes to foggy_cityscapes? HOT 7
- Fail to get the same results HOT 3
- AttributeError: 'list' object has no attribute 'resize' HOT 7
- dataset for foggy cityscapes
- Some questions of training schedule. HOT 3
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from everypixelmatters.