Environment: CentOS 6.10, Python 3.8.18 (/usr/local/bin/python3.8), GCC 7.3.1 (devtoolset-7), Kernel 2.6.32-431.1.2.0.1.el6.
Core ML Stack: Custom-built PyTorch 1.10.2 (v1.10.2), Pillow 8.1.2 (FreeType disabled, pre-XCB), open_clip_torch (installed via selective dependency isolation to completely bypass the Rust/safetensors/tokenizers wall).
Multimedia Support: Custom-compiled ffmpeg 4.4.5 (--disable-x86asm --enable-gpl --disable-doc) used for parsing Instagram-format .mp4 files and extracting individual frame buffers.
Validation Status: Fully proven end-to-end vector similarity ranking via OpenAI's ViT-B-32 checkpoint (yielding >96% to >99% confidence matches on unstructured photos and video frames). BLIP/captioning is permanently parked due to the legacy glibc/Rust constraint.
SystemIP AddressRAMSwap ConfigSwappinessStatusClone192.168.233.1365.9 GB6.0 GB (/swapfile)DefaultFully Operational / POC CompleteLive128.199.200.2022.0 GB6.0 GB (/swapfile + /swapfile2)15Prepped / Awaiting Artifact Migration 3. Immediate Entry Points for the Next Conversation When opening a fresh session with this checkpoint, pick up directly at Step 1 of the Live Migration Plan:
Verify Persistence on Live: Confirm /etc/fstab and /etc/sysctl.conf settings for the 6GB swap pool and vm.swappiness = 15.
Execute Live Backup: Secure the pre-change backup image/snapshot of Live.
Replicate Artifacts: Copy the verified PyTorch compiled extensions, Python site-packages layout, and ffmpeg binary from Clone to Live.
Live Smoke Test: Run the diagnostic import and model initialization script under htop observation to profile the 2GB memory footprint.
Code Integration: Implement MediaIndexer.py stubs and link real tensor embeddings into the pre-tested SimilarityRule logic inside MediaSearch.py.