ssd.pytorch
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Training images of different dimensions (and additional questions on config & custom training)
Thanks for the great work! I have 2 questions:
- I wanna do custom training on images of different dimensions, could your training pipeline handle that? or I needa write my own logic to address them?
- I saw
min_dim
in the config. What does it actually mean? - for custom training, in general what are the configurations I may need to tweak?
Thank you so much!