Difference between revisions of "V5:Installing ChipWhisperer/Installing ChipWhisperer from Git"

Revision as of 06:25, 8 May 2019 (view source) Adewar (Talk | contribs) ← Older edit		Revision as of 08:40, 13 May 2019 (view source) Adewar (Talk | contribs) Newer edit →
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	python setup.py develop --user		python setup.py develop --user
	</pre>		</pre>
−	The user flag installs ChipWhisperer in the user's <b>local</b> python site-packages directory. Note bleeding-edge development is done on the "develop" branch, which you probably want if you are trying GIT.	+	The user flag installs ChipWhisperer in the user's <b>local</b> python site-packages directory.
	You may also want the OpenADC software, which is necessary to build new firmware for the ChipWhisperer FPGA. This is unnecessary for most users. If you need it:		You may also want the OpenADC software, which is necessary to build new firmware for the ChipWhisperer FPGA. This is unnecessary for most users. If you need it:

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Revision as of 08:40, 13 May 2019

If you want the cutting-edge version of ChipWhisperer, you can clone the repository.

NOTE: On Unix based OS (Mac, Linux, etc), python often links to python2. You may need to replace python and pip calls with python3 and pip3 calls, respectively

If you have Git already set up, this is easy to do:

git clone https://github.com/newaetech/chipwhisperer.git
cd chipwhisperer
git checkout cw5dev
cd software
pip install -r requirements.txt
python setup.py develop --user

The user flag installs ChipWhisperer in the user's local python site-packages directory.

You may also want the OpenADC software, which is necessary to build new firmware for the ChipWhisperer FPGA. This is unnecessary for most users. If you need it:

cd ..
git submodule init
git submodule update
cd openadc/controlsw/python
python setup.py develop --user

Once ChipWhisperer is installed, you can run it through Jupyter by typing

jupyter notebook

into the command prompt, which should open a new Window in your browser. Navigate to chipwhisperer/software/jupyter/ to get started with the new Jupyter tutorials.