Max-Fu

k = k0 + log2(√(wh)/224) where k0 equals 4, k equals the output-layer's layer number, w and h are the width and height of the regional proposal.

Thank you for answering this question! I just finished my implementation of FPN over the new Tensorflow Object Detection API. I implemented this algorithm in roi pooling layer.

Choosing ROI is definitely the better choice. Then I was just confused about where to add this formula.

The training result was not as good as the one mentioned in the paper (I only trained for 2 days). RPN loss was also many times larger than the Faster...

Hi! I am trying to train the ddpg model (with cnn) in the 'Duckietown-loop_pedestrians-v0' environment; however, it took roughly a day to get to 1434 step, which is far away...

Using `nvidia-smi` I get that the program uses 1696MiB with batch size 32. I definitely think that it is on the small side.

Thanks! I was testing that line and I got cuda. Just to make sure, step is referring to "total_timesteps."

``` git branch is * daffy (END) ``` Can you explain how to get the duckietown gym version? I am somewhat new to gym.

Ah that make sense. I will update asap. Thanks!

Problem fixed. Thanks @Velythyl