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generalized-iou / g-tensorflow-models

tensorflow/models with GIoU
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Why exp function here? #2

Open jichilen opened 5 years ago

jichilen commented 5 years ago

https://github.com/generalized-iou/g-tensorflow-models/blob/d0ff754286a3b9b106eb3a0b55b4cbedbfb24269/research/object_detection/core/losses.py#L215

should i use the exp function for faster r-cnn training?

https://github.com/generalized-iou/g-tensorflow-models/blob/d0ff754286a3b9b106eb3a0b55b4cbedbfb24269/research/object_detection/core/losses.py#L217 And what weigths should i choose? 0.25 in g-darknet or 10 as paper metioned about?

nathantsoi commented 5 years ago

Excellent question, that exp was from an experiment (since this is used in darknet), it should be removed or behind a flag. I will remove it for now.

Unfortunately I don't have a good answer for the weights, it really depends on the network. You might try even weighting then doing some search for better params