mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 10:36:32 +00:00
Oleksandr Bezdieniezhnykh
2149cd6c08
- Dockerfile.jetson: JetPack 6.x L4T base image (aarch64), TensorRT and PyCUDA from apt - requirements-jetson.txt: derived from requirements.txt, no pip tensorrt/pycuda - docker-compose.jetson.yml: runtime: nvidia for NVIDIA Container Runtime - tensorrt_engine.pyx: convert_from_source accepts optional calib_cache_path; INT8 used when cache present, FP16 fallback; get_engine_filename encodes precision suffix to avoid engine cache confusion - inference.pyx: init_ai tries INT8 engine then FP16 on lookup; downloads calibration cache before conversion thread; passes cache path through to convert_from_source - constants_inf: add INT8_CALIB_CACHE_FILE constant - Unit tests for AC-3 (INT8 flag set when cache provided) and AC-4 (FP16 when no cache) Made-with: Cursor
23 lines
861 B
Markdown
23 lines
861 B
Markdown
# Autopilot State
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## Current Step
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flow: existing-code
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step: 9
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name: Implement
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status: in_progress
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sub_step: batch_01
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retry_count: 0
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## Cycle Notes
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AZ-178 cycle (steps 8–14) completed 2026-04-02.
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step: 8 (New Task) — DONE (AZ-178 defined)
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step: 9 (Implement) — DONE (implementation_report_streaming_video.md, 67/67 tests pass)
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step: 10 (Run Tests) — DONE (67 passed, 0 failed)
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step: 11 (Update Docs) — DONE (docs updated during step 9 implementation)
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step: 12 (Security Audit) — DONE (Critical/High findings remediated 2026-04-01; 64/64 tests pass)
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step: 13 (Performance Test) — SKIPPED (500ms latency validated by real-video integration test)
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step: 14 (Deploy) — DONE (all artifacts + 5 scripts created)
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AZ-180 cycle started 2026-04-02.
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step: 8 (New Task) — DONE (AZ-180: Jetson Orin Nano support + INT8)
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step: 9 (Implement) — NOT STARTED
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