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- keras: 2.2.4
- python: 3.5.2
- tensorflow: 1.12.0
When I train the model with muti-gpu, I meet the `No device assignments were active during op 'anchors/Variable' creation.` problem:
```
Caus…
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When I train, I use the pre-trained model provided by fast-bev. But there are many warnings, size mismatch. And the training speed is still very slow, which is 1/2 of bevdet.
![2023-03-15 11-48-37 的屏…
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# Reference
- [ ] [Model Zoo](https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md)
- [ ] [Model Zoo API](https://detectron2.readthedocs.io/modules/model_zoo.html)
# Brief
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https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/mask-rcnn
Blockers:
- ceil_mode for `MaxPool`
- `NonZero` op
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For Mask-RCNN and Solov2 Instance Segmentation models, what is the correct way to handle negative images (images where the objects desired to be detected are not present)? For the negative images, in …
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118287 vs 80000
which one is correct?
13:45:05|~/mlperf/training_results_v0.7/Google/results/tpu-v4-128-TF/maskrcnn$ grep samples *
result_0.txt::::MLLOG {"namespace": "main", "time_ms": 159318…
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> wait for official support
# Reference
- [ ] [detectron2.export.export_onnx_model](https://detectron2.readthedocs.io/modules/export.html?highlight=onnx#detectron2.export.export_onnx_model)
- [ ]…
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Hello, I am interested in your task, especially the application of droppos in detection and segmentation tasks, may I ask if you can share the code about detection task separation
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Hi,
I notice that code about the mask-rcnn model has been uploaded. Actually, yolo and mask-rcnn are both excellent models for object detection. As for me, I don't think there will be much differen…
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Hello, roytseng
I was just using your framwork to train my model for coco dataset.
I convert my data to coco format and it's working most of time.
Also I meet some problems during this period.
M…