Comments (2)
The model was trained on Caffe. It is not guaranteed that the converted models work well. If you want to use Caffe2 model, find it here. If you want to use Cascade R-CNN in TensorFlow, you may try this.
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@zhaoweicai
Thanks!
How to do inference using your pre-trained model (without any conversion) in python? I always got this issue:
[libprotobuf ERROR google/protobuf/text_format.cc:312] Error parsing text-format caffe.NetParameter: 2472:26: Message type "caffe.LayerParameter" has no field named "box_group_output_param".
- Python version: 2.7.16
- Caffe version: 1.0.0
from cascade-rcnn.
Related Issues (20)
- have you try stage with IoU thr = 0.8 HOT 1
- Decodebbox layer
- cascade rcnn真的增加了正样本的数量吗 HOT 1
- Where can I find a information about stage weight in the original paper? HOT 1
- hello HOT 1
- rpn foreground accuracy is always 0 HOT 3
- Any Dockerfile?
- inference process HOT 1
- Check failed: error == cudaSuccess (8 vs. 0) invalid device function
- model size HOT 1
- problem when compile the code.
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- trianing res101-15s-800-fpn-cascade problem·
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