Masonmason
67a1031009
The key issue was in InferencePipeline._process_data() where a 5-second while loop was blocking waiting for inference results. This completely serialized processing and prevented multiple dongles from working in parallel. Changes: - Replace blocking while loop with single non-blocking call - Use timeout=0.001 for get_latest_inference_result (async pattern) - Use block=False for put_input to prevent queue blocking - Increase worker queue timeout from 0.1s to 1.0s - Handle async processing status properly This matches the pattern from the standalone code that achieved 4.xx FPS (1 dongle) vs 9.xx FPS (2 dongles) scaling. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>