万州建网站,哪里搜索引擎优化好,公司注册新流程,郑州网站设计汉狮网络Linux 35.6 JetPack v5.1.4之 pytorch升级 1. 源由2. 升级步骤1#xff1a;获取二进制版本步骤2#xff1a;安装二进制版本步骤3#xff1a;获取torchvision步骤4#xff1a;安装torchvision步骤5#xff1a;检查安装版本 3. 使用4. 补充4.1 torchvision版本问题4.2 支持… Linux 35.6 JetPack v5.1.4之 pytorch升级 1. 源由2. 升级步骤1获取二进制版本步骤2安装二进制版本步骤3获取torchvision步骤4安装torchvision步骤5检查安装版本 3. 使用4. 补充4.1 torchvision版本问题4.2 支持pytorch版本4.3 opencv-python4.6.0问题 1. 源由
鉴于之前NVIDIA提供基于JetPack v5.1.4二进制pytorch版本最高为 v2.1.0。
经过不断地各方努力《Linux 35.6 JetPack v5.1.4之编译 pytorch》我们已经有了python3.8.0的 pytorch v2.4.1.
2. 升级
步骤1获取二进制版本
$ wget https://github.com/SnapDragonfly/pytorch/releases/download/v2.3.1%2Bl4t35.6-cp38-cp38-aarch64/torch-2.3.1l4t35.6-cp38-cp38-linux_aarch64.whl步骤2安装二进制版本
$ sudo pip3 install torch-2.3.1l4t35.6-cp38-cp38-linux_aarch64.whl步骤3获取torchvision
$ git clone https://github.com/SnapDragonfly/vision.git torchvision
$ cd torchvision
$ git checkout nvidia_v0.19.1步骤4安装torchvision
$ export BUILD_VERSION0.19.1
$ sudo python3 setup.py install --user
$ cd ..步骤5检查安装版本
$ git clone https://github.com/SnapDragonfly/jetson-fpv.git
$ cd jetson-fpv
$ sudo ./wrapper.sh version
[sudo] password for daniel:
Skipping CMD_KEYMONITOR execution for module version.
Executing command on module version:Software part of jetson-stats 4.2.12 - (c) 2024, Raffaello Bonghi
Model: NVIDIA Orin Nano Developer Kit - Jetpack 5.1.4 [L4T 35.6.0]
NV Power Mode[0]: 15W
Serial Number: [XXX Show with: jetson_release -s XXX]
Hardware:- P-Number: p3767-0005- Module: NVIDIA Jetson Orin Nano (Developer kit)
Platform:- Distribution: Ubuntu 20.04 focal- Release: 5.10.216-tegra
jtop:- Version: 4.2.12- Service: Active
Libraries:- CUDA: 11.4.315- cuDNN: 8.6.0.166- TensorRT: 8.5.2.2- VPI: 2.4.8- OpenCV: 4.9.0 - with CUDA: YES
DeepStream C/C SDK version: 6.3Python Environment:
Python 3.8.10GStreamer: YES (1.16.3)NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH)OpenCV version: 4.9.0 CUDA TrueYOLO version: 8.3.33Torch version: 2.4.1l4t35.6Torchvision version: 0.19.1a06194369
DeepStream SDK version: 1.1.83. 使用
略参考《Ardupilot开源无人机之Geek SDK讨论》
SnapDragonfly/jetson-fpv $ cd jetson-fpv
$ sudo ./wrapper.sh dsyolo start4. 补充
4.1 torchvision版本问题
若仍然使用之前NVIDIA安装 v2.1.0 版本对应的 torchvision v0.16.1 或者 0.16.2 则会出现以下报错
$ sudo ./wrapper.sh version
Skipping CMD_KEYMONITOR execution for module version.
Executing command on module version:Software part of jetson-stats 4.2.12 - (c) 2024, Raffaello Bonghi
Model: NVIDIA Orin Nano Developer Kit - Jetpack 5.1.4 [L4T 35.6.0]
NV Power Mode[0]: 15W
Serial Number: [XXX Show with: jetson_release -s XXX]
Hardware:- P-Number: p3767-0005- Module: NVIDIA Jetson Orin Nano (Developer kit)
Platform:- Distribution: Ubuntu 20.04 focal- Release: 5.10.216-tegra
jtop:- Version: 4.2.12- Service: Active
Libraries:- CUDA: 11.4.315- cuDNN: 8.6.0.166- TensorRT: 8.5.2.2- VPI: 2.4.8- Vulkan: 1.3.204- OpenCV: 4.9.0 - with CUDA: YES
DeepStream C/C SDK version: 6.3Python Environment:
Python 3.8.10GStreamer: YES (1.16.3)NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH)OpenCV version: 4.9.0 CUDA TrueYOLO version: WARNING ⚠️ torchvision0.16 is incompatible with torch2.4.
Run pip install torchvision0.19 to fix torchvision or pip install -U torch torchvision to update both.
For a full compatibility table see https://github.com/pytorch/vision#installation
8.3.33Torch version: 2.4.1l4t35.6Torchvision version: 0.16.1fdea156
DeepStream SDK version: 1.1.84.2 支持pytorch版本
目前支持4个pytorch版本
Release pytorch-v2.4.1l4t35.6-cp38-cp38-aarch64Release pytorch-v2.3.1l4t35.6-cp38-cp38-aarch64Release pytorch_v2.2.2l4t35.6-cp38-cp38-aarch64Release pytorch_v2.1.2l4t35.6-cp38-cp38-aarch64
4.3 opencv-python4.6.0问题
实际笔者环境是OpenCV4.9.0但是还是报错而使用python代码没有问题。
$ sudo pip3 install torch-2.4.1l4t35.6-cp38-cp38-linux_aarch64.whl
[sudo] password for daniel:
Processing ./torch-2.4.1l4t35.6-cp38-cp38-linux_aarch64.whl
Requirement already satisfied: jinja2 in /usr/lib/python3/dist-packages (from torch2.4.1l4t35.6) (2.10.1)
Requirement already satisfied: sympy in /usr/local/lib/python3.8/dist-packages (from torch2.4.1l4t35.6) (1.13.3)
Requirement already satisfied: fsspec in /usr/local/lib/python3.8/dist-packages (from torch2.4.1l4t35.6) (2024.10.0)
Requirement already satisfied: networkx in /usr/local/lib/python3.8/dist-packages (from torch2.4.1l4t35.6) (3.1)
Requirement already satisfied: typing-extensions4.8.0 in /usr/local/lib/python3.8/dist-packages (from torch2.4.1l4t35.6) (4.12.2)
Requirement already satisfied: filelock in /usr/lib/python3/dist-packages (from torch2.4.1l4t35.6) (3.0.12)
Requirement already satisfied: mpmath1.4,1.1.0 in /usr/local/lib/python3.8/dist-packages (from sympy-torch2.4.1l4t35.6) (1.3.0)
ERROR: ultralytics 8.3.33 requires opencv-python4.6.0, which is not installed.
Installing collected packages: torchAttempting uninstall: torchFound existing installation: torch 2.1.0a041361538.nv23.6Uninstalling torch-2.1.0a041361538.nv23.6:Successfully uninstalled torch-2.1.0a041361538.nv23.6
Successfully installed torch-2.4.1l4t35.6
