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Why do I get better result with D0 than D7?
I am following section "5. Inference for images" of README and I tried it with two models: D0 and D7. Unexpectedly the result of D0 is much better than D7. See these results:
Result with D0:

Result with D7:

Am I doing something wrong? Is this related to --hparams="image_size=1920x1280"?
try without --hparams="image_size=1920x1280" default D7 is underneath image_size=1536x1536
and default D0 is 512 So with D0 and image_size=1920x1280 you set a better definition whenever D7 and image_size=1920x1280 is less than default
try without --hparams="image_size=1920x1280" default D7 is underneath image_size=1536x1536
I tried without --hparams="image_size=1920x1280" and the result is very similar:

and default D0 is 512 So with D0 and image_size=1920x1280 you set a better definition whenever D7 and image_size=1920x1280 is less than default
How this --hparams="image_size=1920x1280" is used by the code? Is input image get resized to default sizes (e.g. 1536x1536 for D7)? Is there any padding or something else?
you can see the image resized by the code using the script : #Visualize TFRecord python3 dataset/inspect_tfrecords.py