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feature shape:torch.Size([1, 256, 100, 136])
feature shape:torch.Size([1, 256, 50, 68])
feature shape:torch.Size([1, 256, 25, 34])
feature shape:torch.Size([1, 256, 13, 17])
feature shape:torch.Si…
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Hi, when I run " python demo.py demo.jpg ./configs/retinanet_pvt_v2_b5_fpn_1x_coco.py ./checkpoints/retinanet_pvt_v2_b5_fpn_1x_coco.pth', I got this error: KeyError: 'RetinaNet: "pvt_v2_b5: \'pretrain…
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When I tried to use custom dataset using csv-type one,
I got this error `TypeError: __init__() missing 1 required positional argument: 'size'`.
I noticed `img_dim` is missing at ln359 and ln369 i…
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Object detection models don't typically have a formal "image_size" that they operate on. Typically, these models require an image to be divisible by some factor such as 64, 32, or 16.
Instead of r…
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# Focal Loss for Dense Object Detection #
- Author: Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár
- Origin: https://arxiv.org/abs/1708.02002
- Related:
- https://github.co…
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### Checklist
- [X] I have searched related issues but cannot get the expected help.
- [ ] 2. I have read the [FAQ documentation](https://github.com/open-mmlab/mmdeploy/tree/main/docs/en/faq.md) but …
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Traceback (most recent call last):
File "/Users/irateleaf/PycharmProjects/Object_Detection/venv/Demo.py", line 9, in
detector.loadModel()
File "/Users/irateleaf/PycharmProjects/Object_Dete…
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Hi! Thank you for your great work.
I wanted to improve RetinaNet project in detectron2/projects by replacing "retinanet_resnet_fpn_backbone" with "retinanet_vovnet_fpn_backbone".
However, I always e…
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Thanks for your great work！
Do u have ResNeSt+retinanet pretrained models？
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I want to make a comparison on the same code.can i train the retinanet with your code？
can i use this？
python -m torch.distributed.launch --nproc_per_node=1 --master_port=$((RANDOM + 10000))…