You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The implementation details are shown in the figure, but I am a bit confused about the crop_size setting of
[450, 600] during the training of the outdoor model.
Additionally, I would like to ask about the specific meaning of ["model"]["pixel_encoder"]["img_size"] in the config file. During training, this variable is set to [500, 700],Does this mean it remains [500, 700] throughout the entire training process?
Furthermore, how should this variable be set during testing? I plan to test on my own dataset, where the img_size settings for different datasets are shown in the figure below.
Looking forward to the release of a foundation-level model trained on a large-scale, diverse dataset mixture, covering perspective, fisheye, and 360-degree camera data.
The text was updated successfully, but these errors were encountered:
[450, 600] during the training of the outdoor model.
Furthermore, how should this variable be set during testing? I plan to test on my own dataset, where the img_size settings for different datasets are shown in the figure below.
The text was updated successfully, but these errors were encountered: