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Pytorch for Jetson devices with GPU support cannot be installed directly and has to be installed using [provided pip wheels](https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-10-now-a…
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implementation for bootcount in cboot is need for rollback-altboot to work.
Ideally we'll patch cboot too keep a bootcount and alter the root in the cmdline before passing it to the kernel (kernel…
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```
tkDNN/build$ ./test_yolo4
Not supported field: batch=1
Not supported field: subdivisions=1
Not supported field: momentum=0.949
Not supported field: decay=0.0005
Not supported field: angle=0
…
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The release of Smart Access provided with the driver is built for `amd64`. Is it possible to add the libraries for `arm64` support to the driver and have CMake link to the appropriate ones based on de…
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- NVIDIA Jetson AGX Xavier [16GB]
* Jetpack 4.6 [L4T 32.6.1]
* NV Power Mode: MODE_30W_ALL - Type: 3
* jetson_stats.service: active
- Libraries:
* CUDA: 10.2.300
* cuDNN: 8.2.1.…
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I am running Ubuntu 18.04. I have installed mmcv==1.3.3, mmdet==2.7.0, using openmim.
I face the following issue when importing from mmdet.core
```
Traceback (most recent call last):
File "too…
lpkoh updated
2 years ago
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Hi there,
I exported the Swin-S model using tools/deploy.py from MMDeploy to onnx format using tools/deploy.py (I know that it is not supported yet but it worked flawlessly nonetheless). I used the …
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paddlepaddle - gpu 版本2.0.0
PaddleDetection版本release 2.0 rc
硬件:jetson nano jetpack4.3
场景:
1、使用tools/train.py 对 路标检测模型(yolov3_mobilenet_v1_roadsign.yml)进行训练,得到best_model。
2、使用tools/export_model.py进…
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环境:AGX、Ubuntu18.04、CUDA10.2、cudnn 8.0.0、jetpack 4.4、python3.6、Paddle2.1.2、TRT7.1
代码:导出PPYOLO-tiny模型后,使用https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.1/deploy/python/infer.py进行预测
…
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XIO: fatal IO error 11 (Resource temporarily unavailable) on X server ""
after 99 requests (99 known processed) with 0 events remaining.
The compiling and linking both succeeded. But when p…