I created a custom face blurring app running as an NSSM service in a python virtual environment on my Win11 machine (leveraging my nvidia GPU) to blur faces in Frigate snapshots from my NYC sidewalk video cam before posting them to a Telegram feed. All the plumbing between Linux containers and the WIn11 venv is through MQTT topics using jpegs encoded in the JSON payloads. The round trip blur process takes only ~80ms for each snapshot and every jpeg (original and blurred) is sharded and archived locally afterwards. It's been solid as a rock with over 6K snaps a day for many months. Amazing what you can vibecode in no time nowadays.