mirror of
https://github.com/azaion/detections.git
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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
21 lines
369 B
YAML
21 lines
369 B
YAML
name: detections-jetson
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services:
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detections:
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build:
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context: .
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dockerfile: Dockerfile.jetson
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ports:
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- "8080:8080"
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runtime: nvidia
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environment:
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LOADER_URL: ${LOADER_URL}
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ANNOTATIONS_URL: ${ANNOTATIONS_URL}
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env_file: .env
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volumes:
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- detections-logs:/app/Logs
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shm_size: 512m
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volumes:
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detections-logs:
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