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our repeat step for training and testing
>windows(only cpu)
>python3.6
>keras==2.2.4
>keras-resnet
>six
>scipy
>Pillow
>pandas
>tensorflow==1.12.0
>tqdm
>opencv-python==3.2.0.6
…
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It'd be grand to get a figure on how prior knowledge/data can be useful, especially for rare diseases.
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Nice work!
A small bug I found:
In your models/ucir.py:105 , test_loader should be data_loader.
I want to run experiments on ucir model. Cound you please provide an option file about ucir mod…
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It's a great job and it helps me a lot. I would like to know why background should be filtered out when calculating acc or IOU by VOC?, which will lead to a significantly higher ACC and IOU, thank you
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Can you share the source code on the FCOS? Thanks a lot .
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**I am training for baseline
python -u object_detector_retinanet/keras_retinanet/bin/train.py csv
But this is the error I got:**
File "/home/student/.conda/envs/py37/lib/python3.7/site-pa…
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File "/Users/wenyan/workspace/Research/bodyPose/projects/gccpm-look-into-person-cvpr19.pytorch/train.py", line 87, in train
for batch_data in train_loader:
File "/usr/local/lib/python3.7/s…
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These are all repos with at least 300 stars, maybe there are some credibility with these repos, and if so, is it possible to implement them and add them to the toolkit?
Here are benchmarks done by …
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Could ~40 AP be used in a real-world scenario?Have you made any recent progress in the field of pose estimation?
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Hi,
Thanks for an amazing work!
You may also be interested in the work of our group on style transfer.
Here are some of our recent papers:
A Style-Aware Content Loss for Real-time HD Style Tr…