Comments (4)
jaybdub
commented on May 28, 2024
2
Hi @shenGrant ,
Thanks for reaching out.
I haven't tested against this version of TensorRT. It's possible there is a layer that isn't supported by TensorRT for this version.
Just to make sure it's not an issue with the generated ONNX file. Are you able to build with this file? mobile_sam_mask_decoder.onnx
If not, is it possible for you to upgrade to a later version of TensorRT?
John
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shenGrant
commented on May 28, 2024
Hi John,
Thanks for your advice.
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egbertYeah
commented on May 28, 2024
tensorrt 8.6.1 is fine.
from nanosam.
csoham96
commented on May 28, 2024
I am facing issue converting the resnet model into engine can you please provide the onnx file for that?
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Related Issues (18)
- Can this model run on RTX GPUs? HOT 1
- image encoder image size is too big ,can reduce 1024 to 640/480 for acceleration? HOT 2
- Issue with building TensorRT engine for the mask decoder HOT 2
- definition of point label HOT 2
- question about mask dimension HOT 3
- Reimplemented nanosam in cpp HOT 1
- trtexec fails to build /mobile_sam_mask_decoder.onnx HOT 5
- Compiled against cuBLASLt 11.10.3.0 but running against cuBLASLt 11.5.1.0. help me please.. HOT 1
- Device memory is insufficient to use tactic for jetson NANO HOT 1
- how can I train a new student model rather than only resnet? HOT 1
- Not an issue! HOT 1
- Does it support multi-target real-time detection and segmentation? HOT 1
- Can you provide the torch model of ResNet18? HOT 2
- How can I write a generator based on this foundation HOT 1
- RuntimeError: Numpy is not available HOT 2
- void
- tensorrt c++ And mask decoder can be fp16 without too big error? HOT 2
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