Eunwoo Shin

Results 10 comments of Eunwoo Shin

@vinnamkim I implemented again based on your comments. Could you check again?

> @eunwoosh this PR is not required for 2.1, so please retarget back to develop Ok I changed target branch to develop

> Could you elaborate why you changed `max` -> `min`? `max` might be semantically right as the cache would downscale if input image is larger than the criteria which is...

Hi @nowbug , thanks for finding the issue. First of all I want to say that OTX 2.0 currently doesn't validate distributed training, so it can be a little bit...

Here is validation result. Benchmark medium dataset was used. Task | Model | FP32 acc diff | INT8 acc diff -- | -- | -- | -- multi_class_cls | deit_tiny...

Hi @j99ca, As Harim said, configurable input size won't be included in OTX 2.0 release, but we have a plan to enable it later. When it's enabled isn't decided but...

Hi @j99ca , #3759 is preparation step for configurable input size. That PR just enables transforms in recipe to use `$(input_size)`. I'm now implementing configurable input size using #3759. Currently,...

#3788 is merged. OTX supports non-square input size now.