Expand description
§yscv-cli
Command-line tool for real-time inference (detection + tracking + recognition pipeline), camera diagnostics, and dataset evaluation. Argument-driven (no subcommands).
# Enumerate camera devices (filtered by optional name match)
cargo run -p yscv-cli --features native-camera -- --list-cameras
# Run camera diagnostics with a frame budget and JSON report output
cargo run -p yscv-cli --features native-camera -- \
--diagnose-camera \
--diagnose-frames 120 \
--diagnose-report report.json
# Evaluate detection predictions against COCO ground truth
cargo run -p yscv-cli -- \
--eval-detection-coco-gt gt.json \
--eval-detection-coco-pred pred.json \
--eval-iou 0.5 \
--eval-score 0.0
# Default invocation runs the live pipeline (detect → track → recognize)
cargo run -p yscv-cli --features native-camera -- \
--camera --device 0 --detect-target people --detect-score 0.4§Modes
| Flag | What it does |
|---|---|
--list-cameras | Enumerate camera devices, optionally filtered by name |
--diagnose-camera | Run camera capture diagnostics, write JSON report |
--validate-diagnostics-report <path> | Validate a previously saved diagnostics report against thresholds |
--eval-detection-{jsonl,coco,openimages,yolo,voc,kitti,widerface}-* | Run detection evaluation against the named dataset format |
--eval-tracking-{jsonl,mot}-* | Run tracking evaluation (MOTA / MOTP / IDF1 / HOTA) |
| (default) | Live pipeline: camera capture → detection → tracking → optional recognition, with benchmarking and event logging |
§Features
[features]
native-camera = [] # Live camera input§Configuration
JSON-based config for thresholds, model paths, and pipeline options.
§Tests
42 tests covering config parsing, pipeline setup, evaluation output.