Metadata-Version: 2.1
Name: osef
Version: 1.0.2
Summary: Osef file/stream tools.
Author: Outsight Developers
Author-email: support@outsight.tech
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# OSEF library

Library containing utilities to read and parse a stream, live or recorded, retrieved from an
**ALB** (**A**ugmented **L**iDAR **B**ox).

The stream is in the **OSEF** format (**O**pen **SE**rialization **F**ormat):
it's an Outsight-defined serialisation binary format used to encode data streaming out of the ALB. 
It is based on *TLV-encoding*.

Full documentation: https://docs.outsight.ai/software/osef

## Installation
Install from PyPi using pip:
```bash
pip install osef
``` 
## Usage
Open and parse an osef file or stream: 

```python
import osef

osef_path = "path/to/my/file.osef"
# or osef_path="tcp://192.168.2.2:11120"

frame_iterator = osef.parser.parse(osef_path)
for frame_dict in frame_iterator:
    tracked_objects = frame_dict["timestamped_data"]["scan_frame"]["tracked_objects"]
```

or
```python
import osef

osef_path = "path/to/my/file.osef"
# or osef_path="tcp://192.168.2.2:11120"

with osef.parser.OsefStream(osef_path) as osef_stream:
    tlv_iterator = osef.parser.get_tlv_iterator(osef_stream)
    for index, tlv in tlv_iterator:
        tree = osef.parser.build_tree(tlv)
        frame_dict = osef.parser.parse_to_dict(tree)
        tracked_objects = frame_dict["timestamped_data"]["scan_frame"]["tracked_objects"]
```

To find more code samples, see Outsight Code Samples repository:
https://gitlab.com/outsight-public/outsight-code-samples/-/tree/master

