The uploader signs local files and uploads them to the ingestion service. This is useful to upload existing data sets, or to migrate data between Edge Impulse instances. The uploader currently handles these type of files:
.cbor- Files in the Edge Impulse Data Acquisition format. The uploader will not resign these files, only upload them.
.json- Files in the Edge Impulse Data Acquisition format. The uploader will not resign these files, only upload them.
.wav- Lossless audio files. It's recommended to use the same frequency for all files in your data set, as signal processing output might be dependent on the frequency.
.jpg- Image files. It's recommended to use the same ratio for all files in your data set.
You can now also upload data directly from the studio. Go to the Data acquisition page, and click the 'upload' icon. You can select files, the category and the label directly from here.
You can upload files via the Edge Impulse CLI via:
$ edge-impulse-uploader path/to/a/file.wav
You can upload multiple files in one go via:
$ edge-impulse-uploader path/to/many/*.wav
The first time you'll be prompted for a server, and your login credentials (see Edge Impulse Daemon for more information).
Files are automatically uploaded to the
training category, but you can override the category with the
--category option. E.g.:
$ edge-impulse-uploader --category testing path/to/a/file.wav
Or set the category to
split to automatically split data between training and testing sets (recommended for a balanced dataset). This is based on the hash of the file, so this is a deterministic process.
A label is automatically infered from the file name, see the Ingestion service documentation. You can override this with the
--label option. E.g.:
$ edge-impulse-uploader --label noise path/to/a/file.wav
To clear the configuration, run:
$ edge-impulse-uploader --clean
This resets the uploader configuration and will prompt you to log in again.
You can use an API key to authenticate with:
$ edge-impulse-uploader --api-key ei_...
Note that this resets the uploader configuration and automatically configures the uploader's account and project.
The uploader data in the OpenMV dataset format. Pass in the option
--format-openmv and pass the folder of your dataset in to automatically upload data. Data is automatically split between testing and training sets. E.g.:
$ edge-impulse-uploader --format-openmv path/to/your-openmv-dataset
--silent- omits information on startup. Still prints progress information.
--dev- lists development servers, use in conjunction with
--hmac-key <key>- set the HMAC key, only used for files that need to be signed such as
--concurrency <count>- number of files to uploaded in parallel (default: 20).
--progress-start-ix <index>- when set, the progress index will start at this number. Useful to split up large uploads in multiple commands while the user still sees this as one command.
--progress-end-ix <index>- when set, the progress index will end at this number. Useful to split up large uploads in multiple commands while the user still sees this as one command.
--progress-interval <interval>- when set, the uploader will not print an update for every line, but every
intervalperiod (in ms.).
--allow-duplicates- to avoid pollution of your dataset with duplicates, the hash of a file is checked before uploading against known files in your dataset. Enable this flag to skip this check.
Updated 6 months ago