Comments (2)
You're completely right! I apologise about this and thank you for your interest!
The data is here:
https://1drv.ms/u/s!Ako0GB-Fly5dgfcp-sBbUO-NE1k9cA?e=xcTCnw
Furthermore, to use it you might need to edit the builtin.py
file which registers the VOC dataset via a register_coco_instances
call. Editing that should be trivial.
I plan to do a commit to make it easier to use sometime this week.
from imtfa.
You're completely right! I apologise about this and thank you for your interest!
The data is here:
https://1drv.ms/u/s!Ako0GB-Fly5dgfcp-sBbUO-NE1k9cA?e=xcTCnw
Furthermore, to use it you might need to edit the
builtin.py
file which registers the VOC dataset via aregister_coco_instances
call. Editing that should be trivial.I plan to do a commit to make it easier to use sometime this week.
Many thanks for your reply!
from imtfa.
Related Issues (16)
- Why is seed_9 used for iMTFA configs for the NOVEL + ALL classes? HOT 3
- Parsing to windows
- NaN losses
- How to convert VOC XML to COCO format HOT 1
- How to run the model in a N-way K-shot manner? HOT 3
- map and recall after training of every session
- 'model_reset.pth' in second stage HOT 1
- Models for the Mask-RCNN HOT 1
- ValueError: path '/home/danganea/Desktop/paper/iMTFA_code/detectron2/layers/csrc/vision.cpp' cannot be absolute
- Usage of few shots of novel classes
- Training on ImageNet to compare with Siamese-Mask-RCNN
- Paper architecture
- onedrive link is not accessible
- Model link is invalid
- AssertionError: Checkpoint checkpoints/coco/faster_rcnn_R_50_FPN_fc_fullclsag_base/model_reset.pth not found!
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from imtfa.