Comments (1)
- I think your case is same as #13. The
target_size: [[800, 960]]
is a list including one element[800, 960]
. It always random choise same rect size.
batch_transforms:
- BatchRandomResize: {target_size: [[800, 960]], random_size: True, random_interp: True, keep_ratio: False}
- Perhaps your can try the
BatchRandomResize
style as #13 using latest code, although I think the logic is same.
# reset eval_size
eval_size: [352, 608]
batch_transforms:
- BatchRandomResize: {target_size: [[352, 608]], random_size: True, random_interp: True, keep_ratio: False}
- NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
- NormalizeBox: {}
- BboxXYXY2XYWH: {}
- Permute: {}
- Make sure
self.inputs['im_shape'] == self.inputs['image'])[2:]
in here
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