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@@ -38,6 +38,10 @@ Approximate *baseline* [setup](https://github.com/endernewton/tf-faster-rcnn/blo
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- For Mobilenets, we fix the first five layers when fine-tuning the network. All batch normalization parameters are fixed. Weight decay for Mobilenet layers is set to 4e-5.
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- For approximate [FPN](https://arxiv.org/abs/1612.03144) baseline setup we simply resize the image with 800 pixels, add 32^2 anchors, and take 1000 proposals during testing.
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- Check out [here](http://ladoga.graphics.cs.cmu.edu/xinleic/tf-faster-rcnn/)/[here](http://xinlei.sp.cs.cmu.edu/xinleic/tf-faster-rcnn/)/[here](https://drive.google.com/open?id=0B1_fAEgxdnvJSmF3YUlZcHFqWTQ) for the latest models, including longer COCO VGG16 models and Resnet ones.
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![](data/imgs/gt.png) | ![](data/imgs/pred.png)
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:-------------------------:|:-------------------------:
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Displayed Ground Truth on Tensorboard | Displayed Predictions on Tensorboard
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### Additional features
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Additional features not mentioned in the [report](https://arxiv.org/pdf/1702.02138.pdf) are added to make research life easier:

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