trieu

Thanks for bringing this up. I'll try to do minor refactoring gradually, so that the code is easier to read & extend for contributors. I admit after a while not...

I see you are doing YOLOv2. How much is the loss? I suspect yours has not converged.

> Currently I am trying to train the yolo.cfg (version 2) with 2 labels. (I want to recognise Dark Vador and Yoda in my test images.) I changed the number...

In my experiments, the overfitting loss can be around or smaller than `0.1`. In the case of disabling noise augmentation, it can very well be near perfect `0.0`. 3-5 images...

@Dref360 that dict is removed in newer versions, please update your code @AndreaPisoni Please give the steps to reproduce your error.

I think you are doing fine. Just that the model has not converged. A trained voc model with 20 classes has loss around 4.5; so two classes should be significantly...

I'll reopen this issue since a lot of people are complaining about it. However it is worth noting that different users have different experience while training. Some succeeded, some did...

Good suggestions.

According to my understanding, the `_forward()` method is what `reorg` supposed to do. I even renamed the `reorg` to `local flatten` in the console print since it seems to be...

@euler16 I built the tensorflow version as well as training. You can find it [here](https://github.com/thtrieu/darkflow)