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feat(benchmark): add video CPU benchmarks and kornia transforms #45

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feat(benchmark): add video CPU benchmarks and kornia transforms
ternaus Mar 1, 2026
7fb1aaf
fix(benchmark): address video benchmark feedback
ternaus Mar 1, 2026
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82 changes: 41 additions & 41 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -152,51 +152,51 @@ Benchmarks on 9-channel images (3x stacked RGB) to test OpenCV chunking and libr
The video benchmarks compare CPU-based processing (AlbumentationsX) with GPU-accelerated processing (Kornia) for video transformations. The benchmarks use the [UCF101 dataset](https://www.crcv.ucf.edu/data/UCF101.php), which contains realistic videos from 101 action categories.

<!-- VIDEO_BENCHMARK_TABLE_START -->
| Transform | albumentationsx (video) 2.0.18 [vid/s] | kornia (video) 0.8.0 [vid/s] | torchvision (video) 0.21.0 [vid/s] | Speedup (albx/fastest other) |
| Transform | albumentationsx (video) 2.0.20 [vid/s] | kornia (video) 0.8.0 [vid/s] | torchvision (video) 0.21.0 [vid/s] | Speedup (albx/fastest other) |
|:---------------------|:-----------------------------------------|:-------------------------------|:-------------------------------------|:-------------------------------|
| Affine | 16 ± 1 | 21 ± 0 | **453 ± 0** | 0.04x |
| AutoContrast | 16 ± 0 | 21 ± 0 | **578 ± 17** | 0.03x |
| Blur | **49 ± 2** | 21 ± 0 | - | 2.37x |
| Brightness | 55 ± 3 | 22 ± 0 | **756 ± 435** | 0.07x |
| CenterCrop128 | 586 ± 8 | 70 ± 1 | **1133 ± 235** | 0.52x |
| ChannelDropout | **63 ± 3** | 22 ± 0 | - | 2.89x |
| ChannelShuffle | 56 ± 2 | 20 ± 0 | **958 ± 0** | 0.06x |
| ColorJitter | 13 ± 0 | 19 ± 0 | **69 ± 0** | 0.18x |
| Contrast | 55 ± 4 | 22 ± 0 | **547 ± 13** | 0.10x |
| CornerIllumination | **5 ± 0** | 3 ± 0 | - | 1.88x |
| Elastic | 6 ± 0 | - | **127 ± 1** | 0.05x |
| Equalize | 11 ± 0 | 4 ± 0 | **192 ± 1** | 0.06x |
| Erasing | 70 ± 4 | - | **255 ± 7** | 0.27x |
| GaussianBlur | 28 ± 0 | 22 ± 0 | **543 ± 11** | 0.05x |
| GaussianIllumination | 6 ± 0 | **20 ± 0** | - | 0.30x |
| GaussianNoise | 4 ± 0 | **22 ± 0** | - | 0.16x |
| Grayscale | 73 ± 14 | 22 ± 0 | **838 ± 467** | 0.09x |
| Affine | 17 ± 1 | 21 ± 0 | **453 ± 0** | 0.04x |
| AutoContrast | 13 ± 1 | 21 ± 0 | **578 ± 17** | 0.02x |
| Blur | **52 ± 4** | 21 ± 0 | - | 2.53x |
| Brightness | 58 ± 3 | 22 ± 0 | **756 ± 435** | 0.08x |
| CenterCrop128 | 574 ± 7 | 70 ± 1 | **1133 ± 235** | 0.51x |
| ChannelDropout | **66 ± 2** | 22 ± 0 | - | 3.02x |
| ChannelShuffle | 47 ± 3 | 20 ± 0 | **958 ± 0** | 0.05x |
| ColorJitter | 10 ± 1 | 19 ± 0 | **69 ± 0** | 0.15x |
| Contrast | 50 ± 7 | 22 ± 0 | **547 ± 13** | 0.09x |
| CornerIllumination | **5 ± 0** | 3 ± 0 | - | 2.10x |
| Elastic | 5 ± 0 | - | **127 ± 1** | 0.04x |
| Equalize | 9 ± 1 | 4 ± 0 | **192 ± 1** | 0.05x |
| Erasing | 63 ± 3 | - | **255 ± 7** | 0.25x |
| GaussianBlur | 23 ± 0 | 22 ± 0 | **543 ± 11** | 0.04x |
| GaussianIllumination | 7 ± 0 | **20 ± 0** | - | 0.37x |
| GaussianNoise | 3 ± 0 | **22 ± 0** | - | 0.13x |
| Grayscale | 65 ± 4 | 22 ± 0 | **838 ± 467** | 0.08x |
| HorizontalFlip | 55 ± 1 | 22 ± 0 | **978 ± 49** | 0.06x |
| Hue | 12 ± 1 | **20 ± 0** | - | 0.63x |
| Invert | 82 ± 4 | 22 ± 0 | **843 ± 176** | 0.10x |
| LinearIllumination | **5 ± 0** | 4 ± 0 | - | 1.17x |
| MedianBlur | **18 ± 0** | 8 ± 0 | - | 2.19x |
| Normalize | 15 ± 1 | 22 ± 0 | **461 ± 0** | 0.03x |
| Hue | 15 ± 1 | **20 ± 0** | - | 0.77x |
| Invert | 63 ± 5 | 22 ± 0 | **843 ± 176** | 0.07x |
| LinearIllumination | **5 ± 0** | 4 ± 0 | - | 1.23x |
| MedianBlur | **18 ± 0** | 8 ± 0 | - | 2.13x |
| Normalize | 12 ± 1 | 22 ± 0 | **461 ± 0** | 0.03x |
| Pad | 59 ± 3 | - | **760 ± 338** | 0.08x |
| Perspective | 15 ± 1 | - | **435 ± 0** | 0.04x |
| PlankianJitter | **26 ± 1** | 11 ± 0 | - | 2.37x |
| PlasmaBrightness | 1 ± 0 | **17 ± 0** | - | 0.07x |
| PlasmaContrast | 1 ± 0 | **17 ± 0** | - | 0.06x |
| PlasmaShadow | 2 ± 0 | **19 ± 0** | - | 0.08x |
| Posterize | 69 ± 12 | - | **631 ± 15** | 0.11x |
| RGBShift | **25 ± 1** | 22 ± 0 | - | 1.14x |
| Rain | **25 ± 1** | 4 ± 0 | - | 6.64x |
| RandomCrop128 | 529 ± 15 | 65 ± 0 | **1133 ± 15** | 0.47x |
| RandomGamma | **66 ± 3** | 22 ± 0 | - | 3.05x |
| RandomResizedCrop | 15 ± 0 | 6 ± 0 | **182 ± 16** | 0.08x |
| Resize | 14 ± 1 | 6 ± 0 | **140 ± 35** | 0.10x |
| Rotate | 23 ± 1 | 22 ± 0 | **534 ± 0** | 0.04x |
| SaltAndPepper | **10 ± 0** | 9 ± 0 | - | 1.08x |
| Saturation | 10 ± 1 | **37 ± 0** | - | 0.27x |
| Sharpen | 26 ± 0 | 18 ± 0 | **420 ± 9** | 0.06x |
| Solarize | 60 ± 1 | 21 ± 0 | **628 ± 6** | 0.10x |
| Perspective | 15 ± 0 | - | **435 ± 0** | 0.03x |
| PlankianJitter | **21 ± 3** | 11 ± 0 | - | 1.92x |
| PlasmaBrightness | 1 ± 0 | **17 ± 0** | - | 0.06x |
| PlasmaContrast | 1 ± 0 | **17 ± 0** | - | 0.07x |
| PlasmaShadow | 1 ± 0 | **19 ± 0** | - | 0.07x |
| Posterize | 44 ± 6 | - | **631 ± 15** | 0.07x |
| RGBShift | 20 ± 2 | **22 ± 0** | - | 0.90x |
| Rain | **23 ± 1** | 4 ± 0 | - | 6.01x |
| RandomCrop128 | 541 ± 9 | 65 ± 0 | **1133 ± 15** | 0.48x |
| RandomGamma | **43 ± 4** | 22 ± 0 | - | 1.99x |
| RandomResizedCrop | 15 ± 1 | 6 ± 0 | **182 ± 16** | 0.08x |
| Resize | 15 ± 0 | 6 ± 0 | **140 ± 35** | 0.11x |
| Rotate | 27 ± 1 | 22 ± 0 | **534 ± 0** | 0.05x |
| SaltAndPepper | 7 ± 0 | **9 ± 0** | - | 0.78x |
| Saturation | 9 ± 1 | **37 ± 0** | - | 0.23x |
| Sharpen | 23 ± 1 | 18 ± 0 | **420 ± 9** | 0.05x |
| Solarize | 51 ± 2 | 21 ± 0 | **628 ± 6** | 0.08x |
| ThinPlateSpline | 1 ± 0 | **45 ± 1** | - | 0.03x |
| VerticalFlip | 66 ± 3 | 22 ± 0 | **978 ± 5** | 0.07x |
| VerticalFlip | 69 ± 2 | 22 ± 0 | **978 ± 5** | 0.07x |
<!-- VIDEO_BENCHMARK_TABLE_END -->

## Performance Highlights
Expand Down
19 changes: 18 additions & 1 deletion benchmark/cli.py
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Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,11 @@ def _ensure_venv(library: str, media: str, repo_root: Path) -> Path:
logger.info("Installing dependencies for %s (%s)...", library, media)
subprocess.run([str(python), "-m", "pip", "install", "-q", "-U", "uv"], check=True)

base_req = repo_root / "requirements" / "requirements.txt"
# Torch video venvs use a base without opencv to avoid duplicate libavdevice (av vs cv2)
if media == "video" and library in ("torchvision", "kornia"):
base_req = repo_root / "requirements" / "requirements-base-video-torch.txt"
else:
base_req = repo_root / "requirements" / "requirements.txt"
subprocess.run(
[str(python), "-m", "uv", "pip", "install", "-q", "-U", "-r", str(base_req)],
check=True,
Expand Down Expand Up @@ -132,6 +136,7 @@ def _run_single(
transforms_filter: list[str] | None = None,
verbose: bool = False,
num_channels: int = 3,
video_device: str | None = None,
) -> None:
python = _ensure_venv(library, media, repo_root)

Expand Down Expand Up @@ -162,6 +167,8 @@ def _run_single(
cmd += ["--max-warmup", str(max_warmup)]
if num_channels != 3:
cmd += ["--num-channels", str(num_channels)]
if media == "video" and video_device is not None:
cmd += ["--video-device", video_device]

import os

Expand Down Expand Up @@ -212,6 +219,8 @@ def _cmd_run_gcp(args: argparse.Namespace, repo_root: Path, local_output_dir: Pa
remote_args += ["--num-items", str(args.num_items)]
if args.num_runs != 5:
remote_args += ["--num-runs", str(args.num_runs)]
if media == "video" and getattr(args, "video_device", None):
remote_args += ["--video-device", args.video_device]

runner = GCPRunner(config)
runner.run(
Expand Down Expand Up @@ -268,6 +277,7 @@ def cmd_run(args: argparse.Namespace) -> None:
transforms_filter=args.transforms,
verbose=args.verbose,
num_channels=args.num_channels,
video_device=getattr(args, "video_device", None),
)
return

Expand Down Expand Up @@ -305,6 +315,7 @@ def cmd_run(args: argparse.Namespace) -> None:
transforms_filter=args.transforms,
verbose=args.verbose,
num_channels=args.num_channels,
video_device=getattr(args, "video_device", None),
)

logger.info("All benchmarks complete. Results in: %s", output_dir)
Expand Down Expand Up @@ -418,6 +429,12 @@ def build_parser() -> argparse.ArgumentParser:
"Implies --num-channels 9 for image mode."
),
)
run_p.add_argument(
"--video-device",
choices=["cpu", "cuda"],
default=None,
help="Force device for video benchmarks (default: cuda if available else cpu). Only with --media video.",
)

# ------------------------------------------------------------------
# compare
Expand Down
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