feat: Implement ONNX model inference for BEN2, Depth Anything 3, and MoGe

- Added `ben2_onnx.py` for BEN2 ONNX inference with preprocessing.
- Introduced `da3_onnx.py` for Depth Anything 3 inference, including camera projection calculations.
- Created `moge_onnx.py` for MoGe-2 ONNX inference and post-processing.
- Implemented shared ONNX Runtime session helpers in `onnx_runtime.py`.
- Added model synchronization script `sync_models.py` for downloading and verifying ONNX models.
- Developed unit tests for BEN2, Depth Anything 3, and MoGe ONNX models to ensure functionality.
- Updated `vendor.lock.toml` to remove unused artifacts.

vendor.lock.toml

@@ -1,32 +1,5 @@
 schema_version = 1
 
-[artifacts.depth-anything-3]
-revision = "3d835ec1a5802d64a8b8b15f817a1ab54809bfe4"
-filename = "depth-anything-3.tar.gz"
-url = "https://codeload.github.com/ByteDance-Seed/Depth-Anything-3/tar.gz/3d835ec1a5802d64a8b8b15f817a1ab54809bfe4"
-sha256 = "98aa2dd53ab44b96cef5190ae4841c6ae51797d099b784e08e12a1a55bd3a69b"
-patches = "depth-anything-3"
-
-[artifacts.ben2]
-revision = "2c99a5da477b5523585bfa5c893888a6e818a8f6"
-filename = "ben2.tar.gz"
-url = "https://codeload.github.com/PramaLLC/BEN2/tar.gz/2c99a5da477b5523585bfa5c893888a6e818a8f6"
-sha256 = "01fd26716f3ff3a3f18ad2336c768af5b759edfc7c38bb3bf733b7c86eee6282"
-
-[artifacts.moge]
-revision = "925b8ed835a7a9cdb7578ba15c658a0afc969030"
-filename = "moge.tar.gz"
-url = "https://codeload.github.com/microsoft/MoGe/tar.gz/925b8ed835a7a9cdb7578ba15c658a0afc969030"
-sha256 = "c6d90b2564d643f0f3ae65b5ffe163abaea3b55d194c6e2ba9976d67f552bd26"
-patches = "moge"
-
-[artifacts.utils3d]
-revision = "3fab839f0be9931dac7c8488eb0e1600c236e183"
-filename = "utils3d.tar.gz"
-url = "https://codeload.github.com/EasternJournalist/utils3d/tar.gz/3fab839f0be9931dac7c8488eb0e1600c236e183"
-sha256 = "f1f167b1f68809bea391a66dd0d2ad0e14f7382cbddf087b655181c31a285abb"
-patches = "utils3d"
-
 [uv]
 version = "0.11.3"