A tool to capture Nest video streams locally or to the Azure cloud, even for users without a Nest subscription. The current release is tested on macOS. Windows and Linux adaptations coming soon (minor tweaks required).
NOTE: Audio recording is currently not supported.
Rename _config.json
to config.json
and specify the following parameters:
Parameter | Description |
---|---|
username |
Nest account username. |
password |
Nest account password. |
path |
Absolute path to local folder where content needs to be stored. Default is the script path. |
frame_rate |
Frame rate for the generated video. Default is 24. |
threshold |
Number of images that need to be combined in a video in a single buffer. Default is 200. |
width |
Image width for the capture image. Default is 1280. |
clear_images |
Determines whether images are removed after video is produced. Default is false. |
produce_video |
Determines whether a video is generated after a threshold of captured images is hit. Default is false. |
upload_to_azure |
Determines whether the final video will be uploaded to Azure Storage. Default is false. |
az_account_name |
Name of the Azure Storage account. |
az_sas_token |
SAS token for the Azure Storage account. Should have write , list and read permissions. |
If you want to generate video, you will need to download ffmpeg
and place it in the tools
folder, in the script root directory.
Alternatively, if you are on Linux, you can install ffmpeg
with the help of the following command:
sudo apt-get install ffmpeg
On macOS, you can install ffmpeg
through Homebrew:
brew install ffmpeg
Make sure you install the requirements for the project, by cd
-ing in the folder with the project, and running:
pip install -r requirements.txt
Run python start.py
after you configured the settings above. Exit by pressing Ctrl+C.
No claims are made in regards to the stability of the application, or its applicability for your purposes. Use at your own risk. Code is licensed under the MIT License. Code can change at any time with no prior notice.
DO NOT USE in critical security/surveillance scenarios.
On macOS, run pip install certifi
and then /Applications/Python\ 3.6/Install\ Certificates.command
.