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I have trained RT-DETR using Paddle. Then I exported it as described in the README and in various previous issues (e.g. #95). However, I get a strange output:
notice how tile_3.tmp_0 has shape (). The reshape2_56.tmp_0 hast shape (batch, 6), which seems to be correct.
The output of the network for a batch size of 9 is a single (label, score, bbox) for each of the 9 images:
The tile_3.tmp_0 output produces a single value of "300". The single bbox seems to be the one with the highest confidence.
Hello,
I have trained RT-DETR using Paddle. Then I exported it as described in the README and in various previous issues (e.g. #95). However, I get a strange output:
these are the trt bindings:
notice how tile_3.tmp_0 has shape (). The reshape2_56.tmp_0 hast shape (batch, 6), which seems to be correct.
The output of the network for a batch size of 9 is a single (label, score, bbox) for each of the 9 images:
The tile_3.tmp_0 output produces a single value of "300". The single bbox seems to be the one with the highest confidence.
Any ideas what may cause this?
Viewing the ONNX with www.netron.app shows this:
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