jetson nano程序
时间: 2023-09-29 09:09:21 浏览: 91
jetson nano物体识别后提取出自己感兴趣的对象,目标识别,全代码注释讲解,一看就懂
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Jetson Nano是一种高性能的单板计算机,可以运行各种AI和机器学习任务。下面是Jetson Nano的程序示例:
1. 安装TensorFlow
```
sudo apt-get update
sudo apt-get install python3-pip python3-dev libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
sudo pip3 install -U pip testresources setuptools==49.6.0
sudo pip3 install -U numpy==1.19.3 grpcio==1.32.0 absl-py==0.11.0 py-cpuinfo==7.0.0 psutil==5.7.3 portpicker==1.3.1 six==1.15.0 future==0.18.2 mock==4.0.2 h5py==2.10.0 keras-preprocessing==1.1.2 keras-applications==1.0.8 gast==0.3.3 futures protobuf pybind11
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 tensorflow
```
2. 运行图像识别示例
```
cd /usr/local/lib/python3.6/dist-packages/tensorflow/examples/lite/examples/image_classification/raspberry_pi/
python3 classify_picamera.py --model models/mobilenet_v1_1.0_224_quant.tflite --labels models/labels_mobilenet_quant_v1_224.txt
```
3. 运行目标检测示例
```
cd /usr/local/lib/python3.6/dist-packages/tensorflow/models/research/object_detection/
python3 Object_detection_picamera.py --modeldir Sample_TFLite_model/ --graph detect.tflite --labels coco_labels.txt --threshold 0.6
```
这些示例可以帮助你开始使用Jetson Nano进行AI和机器学习开发。
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