Comments (3)
You can convert your own dataset to coco format
from freeanchor.
does it need masks or can it be used on dataset that only has bounding boxes?
from freeanchor.
No need for mask annotation.
from freeanchor.
Related Issues (20)
- 训练loss的一些问题 HOT 2
- Performance gap! HOT 2
- CPU usage goes too high when running demo/webcam.py HOT 9
- 萌新一名,请问必须要搭建maskrcnn-benchmark的环境吗? I'm a beginner ,do I have to install the environment of maskrcnn-benchmark HOT 2
- AttributeError: nms HOT 1
- AttributeError: 'tuple' object has no attribute 'values' HOT 1
- Does FreeAnchor require artificially designed anchor boxes?Such as anchor_rations=[0.5, 1.0, 2.0] HOT 2
- RuntimeError when training HOT 6
- import _c error HOT 2
- How do i test 5,000 images? HOT 1
- import _c error HOT 3
- Any step-by-step results available?
- memory leak in boxlist_iou? HOT 1
- AP gap of ResNet-50 based FreeAnchor
- loss increases when training
- positive bag loss decrease very quickly
- formulation error HOT 3
- 【AP】got unexpected AP results
- 【APs】All APs are -1.0 when I test pretrained_models on 'coco_test-dev'
- Difference between code and paper HOT 1
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from freeanchor.