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edgefirst-tracker
ByteTrack multi-object tracking. Installs alone — it does not require the tensor, image, or decoder wheels.
Part of the EdgeFirst HAL
edgefirst-tracker is one of five Python packages built from the EdgeFirst Hardware Abstraction Layer.
The EdgeFirstAI/hal repository is the home for all of them — source, issue tracker, architecture documentation and release notes.
| Package | Provides |
|---|---|
edgefirst-tensor |
Zero-copy tensor allocation and host/GPU/CUDA mapping |
edgefirst-codec |
JPEG and PNG decoding directly into pre-allocated tensors |
edgefirst-image |
GPU-accelerated colour conversion, resize, letterbox, tiling and drawing |
edgefirst-decoder |
YOLO and ModelPack output decoding |
edgefirst-tracker |
ByteTrack (this package) |
Installation
pip install edgefirst-tracker
Requires Python 3.8 or newer and NumPy. Wheels are published for Linux (x86_64, aarch64), macOS (arm64), and Windows (x86_64). This package does not depend on edgefirst-tensor.
Packages install under the PEP 420 edgefirst.* namespace, so the import is edgefirst.tracker.
Quick start
ByteTrack.update takes detections for one timestamp and returns a list of TrackInfo (or None for unmatched rows) of the same length as the input:
import numpy as np
from edgefirst.tracker import ByteTrack
tracker = ByteTrack()
# boxes is (N, 4) XYXY; scores and labels are length N.
boxes = np.array([[0.1, 0.2, 0.3, 0.4]], dtype=np.float32)
scores = np.array([0.9], dtype=np.float32)
labels = np.array([0], dtype=np.intp)
timestamp_ns = 0
tracks = tracker.update(boxes, scores, labels, timestamp_ns)
for t in tracks:
if t is None:
continue
print(t.uuid, t.tracked_location, t.count)
Decoder.decode_tracked on the edgefirst-decoder wheel accepts this ByteTrack (or any object with an update method).
Parameters
| Argument | Default | Meaning |
|---|---|---|
high_conf |
0.7 |
Detections above this score take the first association pass |
iou |
0.25 |
IoU gate for matching a detection to a track |
update |
0.25 |
Kalman update blending factor |
lifespan_ns |
500_000_000 |
Drop a track that has not matched for this many nanoseconds (500 ms) |
Errors
update raises if boxes, scores, and labels disagree on N, or if boxes is not shape (N, 4). Empty detections (N == 0) are valid — unmatched tracks age and expire according to lifespan_ns.
Performance
Association is CPU-only (Kalman + IoU). Typical cost is microseconds per frame at tens of detections; it does not allocate GPU tensors and does not link libedgefirst_tensor. Build the tracker once and call update every frame.
Versioning and changelog
All five edgefirst-* packages are versioned and released together with the HAL itself. Release notes live in the single CHANGELOG.md.
Links
- Changelog — release notes for all packages
- Source — the
halmonorepo - Issue tracker
- Package documentation — the underlying Rust crate
- EdgeFirst
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for edgefirst-tracker 0.32.1
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