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I1026 15:39:55.119289 15373 detection_data_layer.cpp:58] Window data layer:
batch size: 2
cache_images: 0
root_folder: /VOCdevkit/
I1026 15:39:55.119340 15373 detection_data_layer.cpp:142] n…
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or just rpn_head ?
and should I use the same momentum ,mu and bins as the one stage detector? And if I use cascade_mask_rcnn, how about these hyperparameters?
Thanks a lot.
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I have changed the database and converted to tfrecords . when i run it for minutes, fast_rcnn_loc_loss become 0.0 rpn_loc_loss become nan.
``
![image](https://user-images.githubusercontent.com…
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it seems that the batch_size can only be 1,
when I set the batch_size = 4 or 8 during training, the error occurs:
Traceback (most recent call last):
File "trainval_net.py", line 321, in
…
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我用cascade训练了voc 07,map只有66%,在voc0712上的表现只有75%
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HI, am training on my personal dataset.
But am not using multiscale training and inference.
configs am using from here: '../_base_/models/cascade_mask_rcnn_swin_fpn.py',
but data loader and aug…
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Hi. I was wondering how to get the confusion matrix during the training and saving the results (without using test.py). Here is my code to train DetectoRS on a custom dataset:
````
# Applying Dete…
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Hello,
Thanks for sharing your ready to train code, I was wondering if there any hope to have the pretrained weights on Image-Net ? I can contribute by adding Cascade-RCNN and Faster-RCNN to the m…
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Hello @zhengye1995,
Thank you for your work. I wanted to ask, after training the cascade semantic rcnn with the new W's which epoch weights do you use for computing ZSD and GZSD numbers?
Regar…
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I use MMDtection 3.x. The dataset is voc-format. I have trained a model and get detection_results.pkl
However, I run
```
python tools/analysis_tools/eval_metric.py configs/saga/cascade-rcnn_flir.…