BridgeDepth

• Original code: https://github.com/aeolusguan/BridgeDepth at 9a231601e698
• Code licence: MIT (permissive); files: LICENSE, LICENSE-torchvision
• Weights licence: CC-BY-NC-4.0
• Licence evidence: https://github.com/aeolusguan/BridgeDepth/blob/9a231601e6981d3536fa6a78ebaccebc1edb99a4/README.md#L40
• Training data: Freiburg SceneFlow (FlyingThings3D, Driving, Monkaa)
  • bridgedepth-rvc-pretrain: Freiburg SceneFlow (FlyingThings3D, Driving, Monkaa), NVIDIA Falling Things (FAT), CREStereo synthetic stereo dataset (Megvii), TartanAir, MPI Sintel stereo, not stated by the authors (configs/rvc_pretrain.yaml: Scene Flow, Falling Things, CREStereo, TartanAir, CARLA high-res, Sintel, Virtual KITTI 2 (started from l_sf, Scene Flow); README recommends it for in-the-wild use)
• Licence note: The weights embed Depth Anything V2 weights released under CC-BY-NC-4.0, so they are non-commercial even though the code is MIT.
• Kernel libraries: fastbb
• Variants: bridgedepth-sf, bridgedepth-rvc-pretrain
• Outputs: disparity
• Input size: any H x W >= 16, padded to a multiple of 16
• Tested up to (portable, fp16, RTX 5060 Ti 16 GB): bridgedepth-sf 3000x4000 (13.3 GiB peak allocated, 14.2 reserved); bridgedepth-rvc-pretrain 3000x4000 (13.3 GiB peak allocated, 14.2 reserved)
• bridgedepth-sf 994x1482, first call: portable + torch.compile 111 s (cold Inductor cache).
• bridgedepth-sf original (fp32) 994x1482: original default: its monocular branch (DepthAnything.infer) runs in fp16 even without autocast
• bridgedepth-sf original 994x1482: torch.autocast(fp16) around the forward; original default: its monocular branch (DepthAnything.infer) runs in fp16 even without autocast
• bridgedepth-rvc-pretrain original (fp32) 994x1482: original default: its monocular branch (DepthAnything.infer) runs in fp16 even without autocast
• bridgedepth-rvc-pretrain original 994x1482: torch.autocast(fp16) around the forward; original default: its monocular branch (DepthAnything.infer) runs in fp16 even without autocast
• bridgedepth-sf load / first call: original 4.86 s / 0.119 s (375x1242), portable 1.53 s / 0.442† s, kernels 0.72† s / 0.351† s
• bridgedepth-rvc-pretrain load / first call: original 5.87 s / 1.363 s (375x1242), portable 1.84 s / 0.453† s, kernels 0.76† s / 0.356† s
• † measured in the speed sweep after the portable load (or an earlier size) in the same process: file cache and kernels are warm, so the time is lower than a fresh start.
• Protocol, median of 5 after 3 warm-up, uint8 CUDA input (synthetic for bench_inputs sizes), card defaults; gc before each load; peak = max over the first call and the timed calls

Measured

Original = the original code named under Details, same checkpoint and protocol.

Measured on NVIDIA GeForce RTX 5060 Ti, torch 2.14.1+cu130, fastforks 468fba10, 2026-11-05.

Parity

CPU, float32: max |diff| <= 0.002 vs the original. GPU, float16 (the default), portable and kernels: mean |diff| <= 0.02 px and p99 <= 0.25 px. On real pairs up to 720x1280 the limits are mean 0.06 / p99 1.0 (precision-sensitive there, see Limitations).