PI classifier
This pacakge will install the cacophony pipeline tracking onto a RPI
You will also need to install these system packages in order to run the package
sudo apt install python3-opencv libglib2.0-dev libgirepository1.0-dev libcairo2-dev libcairo2 python3-dbus build-essential libdbus-glib-1-dev libgirepository1.0-dev
Once installed the tracking can be run using pi_classifier
The default config is installed with this package if you would like to override the config you can create a config file at
/etc/cacophony/classifier.yaml
Metadata
Release files for classifier-pipeline 0.0.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| classifier_pipeline-0.0.14.tar.gz | 42.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| classifier_pipeline-0.0.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.2 MB
Release files / classifier_pipeline-0.0.14.tar.gz
| Download URL | classifier_pipeline-0.0.14.tar.gz |
|---|---|
| Size | 42.0 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.10.14
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Release files / classifier_pipeline-0.0.14-py3-none-any.whl
| Download URL | classifier_pipeline-0.0.14-py3-none-any.whl |
|---|---|
| Size | 202.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/5.1.1 CPython/3.10.14
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