My take: tensorflow lite + mediapipe was great but google really neglected it in the last 3 years or so. Mediapipe didn't have many meaningful update in last 3

My take: tensorflow lite + mediapipe was great but google really neglected it in the last 3 years or so. Mediapipe didn't have many meaningful update in last 3 years. A lot of models today are outdated or slow. TF Lite supported NPU (like apple ANU) but mediapipe never did. They had also too much mess with different branding: MLKit, Firebase ML, TF lite, LiteRT. This days probably better to stick with onnxruntime via hugging face transformers or transformers.js library or wait until executorch mature. I haven't seen any SOTA model officially released having official port to tensorflow lite / liteRT for a long time: SAM2, EfficientSAM, EdgeSAM, DFINE, DEIM, Whisper, Lite-Whisper, Kokoro, DepthAnythingV2 - everything is pytorch by default but with still big communities for ONNX and MLX