Spaces:
Running
Running
Backend (Phase 1)
This backend exposes your existing CV + trajectory prediction pipeline through FastAPI.
Folder Structure
backend/
app/
api/
dependencies.py
routes/
health.py
live.py
predict.py
core/
serialization.py
uploads.py
ml/
inference.py
model.py
model_fusion.py
sensor_fusion.py
legacy/
dataset.py
dataset_fusion.py
data_loader.py
cv_perception.py
map_renderer.py
visualization.py
services/
pipeline.py
main.py
schemas.py
scripts/
training/
evaluation/
data/
tools/
legacy/
requirements.txt
Notes:
- Runtime model and fusion logic is now under
backend/app/ml. - Legacy helper modules were moved under
backend/app/legacy. - Training, evaluation, and data scripts were moved under
backend/scripts/*. - Root-level
inference.py,model.py,model_fusion.py, andsensor_fusion.pyremain as compatibility wrappers.
Run
From the repository root:
.\\venv\\Scripts\\python.exe -m pip install -r backend/requirements.txt
.\\venv\\Scripts\\python.exe -m uvicorn backend.app.main:app --reload --host 0.0.0.0 --port 8000
Endpoints
GET /api/healthGET /api/live/frames?channel=CAM_FRONT&limit=200GET /api/live/frame-image?path=<dataset_frame_path>POST /api/predict/two-image(multipart form)POST /api/predict/live-fusion(JSON body)
Phase 2 Scene Geometry
Prediction responses now include scene_geometry with image-grounded BEV primitives:
road_polygon: camera-derived drivable area in BEV coordinates.lane_lines: lane candidates projected into BEV.elements: projected actor footprints from detections.quality: confidence score in[0, 1]for extracted scene structure.
Notes:
- The backend keeps using existing model files at repository root.
- Keep running from repo root so relative data paths remain stable.