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Network paths are constructed from logical segments, each of which represents a subpath between two subnets through a single gateway device. These segments come in different types, which embody routin…
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### Task motivation
Gene Regulatory Network (GRN) inference is pivotal in systems biology, offering profound insights into the complex mechanisms that govern gene expression and cellular behavior. Th…
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According to the guidebook, I found codes for object detection within only 10 lines, like
#inference.py in jetson-inference
import jetson.utils
import jetson.inference
input = jetson.utils.video…
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Hi,
Thanks for sharing a work!
I have trained a custom model using https://github.com/lyuwenyu/RT-DETR/tree/main/rtdetr_pytorch
network dimension is 1024 x 1024 and converted the .pt to ten…
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Hello, thank you very much for your work. I would like to try applying this network to other downstream tasks.
Do I need to retrain the network? Could you please provide the pre-trained network mode…
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Thank you for your excellent work! :satisfied: :satisfied: :satisfied:
Recently, I have been trying to use TensorRT to accelerate Depth Anything on Jetson Orin NX. However, I found that the infere…
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Thank you for your excellent work! :satisfied: :satisfied: :satisfied:
Recently, I have been trying to use TensorRT to accelerate Depth Anything on Jetson Orin NX. However, I found that the infere…
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Alot of these networks are still too heavy for cpu inference would you be open to a PR to add these models ?
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### OpenVINO Version
2024.01/2024.1.0
### Operating System
Windows System
### Device used for inference
CPU
### Framework
None
### Model used
ssd
### Issue description
When running the benc…
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感谢您的优秀工作!
最近我在尝试在Jetson Orign NX上使用TensorRT对Depth Anything进行加速,但是我发现转换后的trt文件的推理速度和onnx文件相比并没有显著提升,甚至还有下降。其中:
```
ONNX Inference Time: 2.7s per image
```
```
TRT Inference Time: 3.0s per image
…