OpenCV getCPUTickCount_0

getCPUTickCount_0 returns the current CPU tick counter - a big integer that increments at a rate you don't control and resets whenever it feels like it. Standalone, it's meaningless. Its only real purpose is the classic OpenCV timing idiom: call it, do work, call it again, and divide the difference by the tick frequency to get elapsed seconds.

And that's the honest take on this node: it's useless on its own and moderately awkward as a timer, because to convert ticks to seconds you need cv2.getTickFrequency() - a separate OpenCV function that, in this pack, is a different node (getTickFrequency_0). So a timing workflow looks like: getCPUTickCount_0 before the operation, getCPUTickCount_0 after, subtract, then multiply by the inverse of getTickFrequency_0. Ticks per second is huge (typically tens of millions), and the counter wraps on long runs, so you compute (end - start) / frequency.

Why bother, when ComfyUI has its own timing in the console? Because this measures inside the OpenCV graph, around one specific node or pipeline, with no wall-clock noise from everything else running. If you're profiling whether GaussianBlur_0 or a smaller kernel is faster, or comparing the cost of two OpenCV processing paths, this gives you a same-process, sub-node-level measurement. That's its niche: micro-benchmarking inside the graph.

Let's be real, though - this is one of the thinnest nodes in the pack. It's a raw function with no convenience wrapper, in a pack that's explicit about not hand-tuning anything. If you just want "is this slow?", ComfyUI's own timings and a stopwatch beat a tick counter. You reach for getCPUTickCount_0 when you're doing serious, repeatable micro-benchmarks and you want the measurement as part of the workflow itself.

Inputs and output

No inputs. Output is int - the current CPU tick count. That's the whole interface.

Installing

Part of geroldmeisinger/opencv-comfyui. ComfyUI Manager: search "opencv-comfyui". Or:

cd ComfyUI/custom_nodes
git clone https://github.com/geroldmeisinger/opencv-comfyui

Restart ComfyUI. The pack's requirements.txt installs opencv-contrib-python, numpy, and torch.

Common issues

The only real errors here are conceptual. First: don't treat the number as meaningful time - it's ticks, not seconds, and the scale varies by platform. Second: the counter can wrap, so subtract carefully on long-running processes. Third: if you forget getTickFrequency_0, you're stuck with a tick count you can't convert.

If that sounds like more friction than value, you're not wrong for most workflows. But this is what a pack that wraps all of OpenCV looks like - including the utility functions nobody wraps by hand. It's the pack's personality: the complete, un-curated toolbox, dragons included. When you need a tick counter, it's right there; when you don't, ignore it.