Image recognition using movidius neural compute stick on a rpi0w
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tutorial: image recognition using movidius neural compute stick on raspberry pi zero w
in this tutorial, we will walk through the steps to perform image recognition using the movidius neural compute stick (ncs) on a raspberry pi zero w. the movidius ncs is a usb device that accelerates deep neural network inferences.
prerequisites:
1. raspberry pi zero w (rpi0w) with raspbian os installed
2. movidius neural compute stick (ncs)
3. movidius neural compute sdk installed on your raspberry pi
4. basic knowledge of python and neural networks
steps:
#### 1. set up movidius ncs on raspberry pi zero w:
connect the movidius ncs to one of the usb ports on the raspberry pi zero w.
install the movidius neural compute sdk on your raspberry pi. follow the official documentation for installation instructions.
#### 2. prepare the neural network model:
choose a pre-trained neural network model compatible with the movidius ncs (e.g., mobilenet, googlenet).
convert the model to a format compatible with the ncs using the model optimizer tool provided in the neural compute sdk.
#### 3. write python code for image recognition:
#### 4. run the code:
save the python code in a file (e.g., `image_recognition.py`) on your raspberry pi zero w.
make sure the movidius ncs is connected to the raspberry pi.
run the code using python: `python image_recognition.py`
conclusion:
in this tutorial, you have learned how to perform image recognition using the movidius neural compute stick on a raspberry pi zero w. by following these steps, you can leverage the power of deep neural networks for image processing tasks on edge devices. make sure to explore different neural network models and optimize them for the ncs for better performance.
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