Community on-host nodes for DepthAI.
Project description
DepthAI Nodes
DepthAI Nodes package includes parser nodes for decoding and postprocessing outputs from Neural Network node in DepthAI.
NOTE: The project is in an alpha state, so it may be missing some critical features or contain bugs - please report any feedback!
Table of Contents
Installation
The depthai_nodes
package requires Python 3.8 or later and depthai v3
installed.
While the depthai v3
is not yet released on PyPI, you can install it with the following command:
pip install --extra-index-url https://artifacts.luxonis.com/artifactory/luxonis-python-release-local/ depthai==3.0.0a5
The depthai_nodes
package is hosted on PyPI, so you can install it with pip
.
To install the package, run:
pip install depthai-nodes
Manual installation
If you want to manually install the package from GitHub repositoory you can run:
git clone git@github.com:luxonis/depthai-nodes.git
and then inside the directory run:
pip install .
Note: You'll still need to manually install depthai v3
.
Contributing
If you want to contribute to this project, read the instructions in CONTRIBUTING.md
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file depthai_nodes-0.1.0.tar.gz
.
File metadata
- Download URL: depthai_nodes-0.1.0.tar.gz
- Upload date:
- Size: 94.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 61148dc4085bed2dc371b69a9a53c9d7d61beb401f6b7acfe7fbaeca9d6b7024 |
|
MD5 | 1978654bf398735e29feaeb6b2fa0780 |
|
BLAKE2b-256 | f64b0501765e3536eff9dec337141b5bd11faee0340904631d0ccb32e99dd890 |
File details
Details for the file depthai_nodes-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: depthai_nodes-0.1.0-py3-none-any.whl
- Upload date:
- Size: 138.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16d92ae4d17d75c38859efc68893056d1579c89464334770f8625113f2550e4e |
|
MD5 | 4fddd043c9bd3532d0c1b2509e2aa809 |
|
BLAKE2b-256 | 859ba486ba0e091b079630e84b84b35ede7abbf1b1385baf58c6ed91a0af0943 |