Comments (2)
willgraf
commented on August 21, 2024
When uploading images significantly smaller than the ~1000x1000 input size, failed with the following error:
Error: HTTP 400: Bad Request: b'{ "error": "padded_shape[0]=189 is not divisible
by block_shape[0]=2\\n\\t [[Node: model_74/model_86_1/conv2d_479/SpaceToBatchND = SpaceToBatchND[T=DT_FLOAT, Tbloc
k_shape=DT_INT32, Tpaddings=DT_INT32, _device=\\"/job:localhost/replica:0/task:0/device:GPU:0\\"](model_74/model_86
_1/dilated_max_pool2d_205/max_pool-0-0-TransposeNCHWToNHWC-LayoutOptimizer, model_74/model_86_1/conv2d_479/SpaceToB
atchND/block_shape, model_74/model_86_1/conv2d_479/SpaceToBatchND/paddings)]]\\n\\t [[Node: model_74/model_87_1/ten
sor_prod2d_139/Tensordot/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer/_9037 = _Recv[client_terminated=false, recv
_device=\\"/job:localhost/replica:0/task:0/device:CPU:0\\", send_device=\\"/job:localhost/replica:0/task:0/device:G
PU:0\\", send_device_incarnation=1, tensor_name=\\"edge_867_m...tOptimizer\\", tensor_type=DT_INT32, _device=\\"/jo
b:localhost/replica:0/task:0/device:CPU:0\\"]()]]" }'
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willgraf
commented on August 21, 2024
I'm going to close this issue, as this is a limitation of the FeatureNet models, but now we have other architectures (RetinaNet, MaskRCNN) which are much more flexible with the input image size.
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