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Hi,
Just wanted to know as in RetinaNet we can give any size input to network. Should we resize the images before feeding it to network to 800x1333 as mentioned in generator.py code. My images are …
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The RPN is not finding any boxes
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Hi, I tried with various versions of tensorflow and keras, but not able to run the code. If possible add the requirements.txt.
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in yolo3, you use concept from feature pyramid networks, can you explain why 'feature pyramid' likes dssd, retinanet outperform 'feature pyramid' likes ssd for object detection (not segmentation)? tha…
ghost updated
5 years ago
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Hello, firstly, I'd like to express our gratitude for the opportunity to contribute to the advancement of mitosis detection and the associated challenges. We are currently engaged in scientific resear…
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Hello everyone,
I was wondering which model will be available for custom object detection once the switch to PyTorch is completed. Will it still be Yolov3 using the DarkNet backend, or will you be …
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**Describe the bug**
I am trying to run ONNX simplifier on a model from MLPerf (retinanet-resnext50 800x800). However, the simplifier crashes with a segmentation fault, seems like a null pointer de…
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Hi @jaspereb will it be possible to try this tutorial on window OS for my own custom dataset ?
Help will be much grateful..
ghost updated
4 years ago
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Hello, did you use coco2017_train.pkl or coco2017_train.json in the experiment? I found that using gen_noisy_cococ.py is to generate coco2017_train.pkl
UnicodeDecodeError: 'utf-8' codec can't decod…
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**For an end-user, the command `docker image build ./` doesn't work properly**
The docker file doesn't create a virtual environment and it is also not able to download the models.
**To Reproduce**…