Requirements
- Anaconda Python >= 3.7
Quickstart
Quickly train 4 gestures for the model to learn. Press the UP, DOWN, RIGHT, and LEFT arrows on your keyboard to 'label' each gesture in realtime. After 30 seconds you'll be prompted to save (append) the new training data. It will immediately show you a cross-validation score of the fitted data. Initialize, Train, and Predict in less than 60 seconds (using your webcam).
import head_controller.db as db
import head_controller.Camera as Camera
# Initialize gesture training data
db.setup_db()
# Capture webcam gestures with live arrow-key labelling
Camera.capture_review_submit_labels()
# Realtime predict webcam gestures
Camera.check_video_frame_data_predict()
1 maintainer
Metadata
1 maintainer
Release files for head-controller 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| head_controller-1.1.2.tar.gz | 5.7 kB | Without provenance | Details for head_controller-1.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| head_controller-1.1.2-py3.7.egg | Legacy Egg format | - | - | Details for head_controller-1.1.2-py3.7.egg |
Total release size: 24.6 kB
Release files / head_controller-1.1.2.tar.gz
| Download URL | head_controller-1.1.2.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e195d007bc135226e1c8704a8ada0fabbd2bf36cae02680fcb3251c77163cb29
|
|
BLAKE2b-256 checksum How to use checksums |
e01d648aafa393afea535bc1f37de05f24c7350b0cb1629bbdbfc372c7b4dd37
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
Release files / head_controller-1.1.2-py3.7.egg
| Download URL | head_controller-1.1.2-py3.7.egg |
|---|---|
| Size | 18.9 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
ca1a912752962e9c713662294f38960e307d99b7a51967d69ccf74d20b1bb94f
|
|
BLAKE2b-256 checksum How to use checksums |
5f2b3c842d4045faf931af02eebb41aca2c1bc11dd316161338c0e32525e3040
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
Security for head-controller 1.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
