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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
The text was updated successfully, but these errors were encountered:
For the rand init. experiments, I forgot all the details since it's long time ago. But giving that rand int. has nothing to do with pre-training, I would recommend you directly using Detectron2 here:
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
(reported32.8 / 29.9
) for the 1x and0.304 / 0.278
(reported38.4 / 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
The text was updated successfully, but these errors were encountered: