Hey there, first of all a huge thank you for providing the pre-trained model, that's pretty cool :) One question regarding the detection weights:
I failed to reproduce the results for rand init. 1x and 2x (all other checkpoints work fine). From the log I saw that rand init. 1x and 2x are trained in "RGB" format with the respective mean and std. The configs will default to BGR and 1.0 std which results in a box/mask AP ~0. Strangely, even if I use RGB format, mean and std I only get box/mask AP of 0.257 / 0.235 (reported 32.8 / 29.9) for the 1x and 0.304 / 0.278 (reported 38.4 / 34.7) for the 2x model. The rand init. 6x models seems to be trained in BGR and works fine with the config.
Do I miss something here? Maybe these are not the final checkpoints?
Thanks in advance