Comments (5)
@alen-mask
You can refer to this. If you have any questions, please feel free to contact us.
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I close this issue because there was no response for a long time, please reopen it if there are still problems.
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Hi @sfzhang15 ,
I just use the shapes dataset(coco format) for training and test since the ATSS_dcnv2_X_101_64x4d_FPN_2x.pth for coco you uploaded works fine.
However, no bounding box was returned by the new trained model, do i have to make extra modifications besides https://github.com/tianzhi0549/FCOS/issues/54 ?
test log:
1001.jpeg inference time: 0.19s
im_name
len(boxes): 0
1127.jpeg inference time: 0.19s
im_name
len(boxes): 0
1215.jpeg inference time: 0.18s
im_name
len(boxes): 0
1102.jpeg inference time: 0.18s
im_name
len(boxes): 0
1245.jpeg inference time: 0.18s
im_name
len(boxes): 0
1125.jpeg inference time: 0.19s
im_name
len(boxes): 0
1089.jpeg inference time: 0.19s
im_name
len(boxes): 0
1191.jpeg inference time: 0.20s
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After some debug work, i found scors of the predictions from trained model are very low, and after resetting thresholds_for_classes values to 0.1 for my datasets(3 classes of target object+1 background)in atss_demo.py file, the result is not so good: all predicted bboxes before selecting are with wrong labels and wrong locations.
I guess much more modifications are required to train custom datasets.
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@alen-mask
Sorry for the late reply. After preparing your own dataset, you can debug the codes with one training iteration via PyCharm to ensure correctness. When all required changes are ensured, you can begin to train the model. The learning rate and its schedule may also need to be adjusted appropriately.
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Related Issues (20)
- No module named 'atss_core' HOT 1
- C1083: 无法打开包括文件: “cpu/vision.h”: No such file or directory HOT 1
- 大batch_size和多目标检测的双层for循环导致ATSS算法执行时间长,GPU利用率低,如何提升性能与效率? HOT 3
- cannot import name '_C' from 'atss_core'
- file HOT 1
- How to get the model's test-dev result? Is that right if I change or edit some coding lines in test_net.py? HOT 2
- How can I do batch processing in demo?
- where is the ATSS? HOT 5
- resnet50 is not official version? HOT 1
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- About sigmoid focal loss cpu.
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- total stride size
- The full version of ATSS applied to FCOS HOT 3
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- Train on own dataset
- YOLOv3
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