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Hello,
I have the following issue when running any of the demo example on retinanet.
May you please advise in this
self.anchor_idxs tensor([], dtype=torch.int64) tensor([], dtype=torch.int64)
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In order for RetinaNet to work, the image shape must be at least 512 by 512. Anything smaller than this, though divisible by 16, will not work. In the below Colab, I've tried out several different ima…
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### 🐛 Describe the bug
This model export was requested by user at https://github.com/pytorch/pytorch/issues/108337 . It is fairly similar to maskrcnn which is one of the priority models that internal…
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Failed op:
- https://github.com/nod-ai/SHARK-Turbine/issues/617
Before fixing expand op, we cannot get any other fail op signature information. The following cmd is blocked by expand.
```
torch-…
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Hi, @ZFTurbo!
I tryed convert retinanet model with backbone resnet50 and it faled.
I used https://github.com/fizyr/keras-retinanet.
```
File "/usr/local/lib/python3.6/dist-packages/kito/__init…
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```
$ retinanet export weights/retinanet_rn50fpn_4gpus.pth model_fp16.plan --batch 1 --size 1280
Loading model from retinanet_rn50fpn_4gpus.pth...
model: ['ResNet50FPN'] max stride is: 128
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Probably if consecutive layers have same layer type stacked they are logged under same dictionary key in the results.
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After upgrading `keras-cv` to v0.6.1 I noticed that predict method of RetinaNet model became really slow comparing with v0.5.1 as result it complicates COCO metrics evaluation.
```
inputs = [SINGL…
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### Prerequisite
- [X] I have searched [Issues](https://github.com/open-mmlab/mmcv/issues) and [Discussions](https://github.com/open-mmlab/mmcv/discussions) but cannot get the expected help.
- [X] Th…
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Hello author, I have a question about loading pretrained models for object detection tasks. The following is the part of loading the pre-trained model in my training log file, which is a little differ…