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| {} |
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| # Dataset Card for DLC Speed Benchmarking ZIP |
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| This supports the dlc-live benchmarking [zip](https://github.com/DeepLabCut/DeepLabCut-live/blob/427c12609307ef685e4193c91026567308820cbe/dlclive/benchmark.py#L40) formally hosted on our Harvard Rowland server. |
| All information can be found in our publication: |
|
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| Real-time, low-latency closed-loop feedback using markerless posture tracking |
| Gary A Kane, Gonçalo Lopes, Jonny L Saunders, Alexander Mathis, Mackenzie W Mathis |
| https://elifesciences.org/articles/61909 |
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|
| ### Direct Use |
|
|
| ```python |
| """ |
| DeepLabCut Toolbox (deeplabcut.org) |
| © A. & M. Mathis Labs |
| |
| Licensed under GNU Lesser General Public License v3.0 |
| """ |
| |
| # Script for running the official benchmark from Kane et al, 2020. |
| # Please share your results at https://github.com/DeepLabCut/DLC-inferencespeed-benchmark |
| |
| import os, pathlib |
| import glob |
| |
| from dlclive import benchmark_videos, download_benchmarking_data |
| |
| datafolder = os.path.join( |
| pathlib.Path(__file__).parent.absolute(), "Data-DLC-live-benchmark" |
| ) |
| |
| if not os.path.isdir(datafolder): # only download if data doesn't exist! |
| # Downloading data.... this takes a while (see terminal) |
| download_benchmarking_data(datafolder) |
| |
| n_frames = 10000 # change to 10000 for testing on a GPU! |
| pixels = [2500, 10000, 40000, 160000, 320000, 640000] |
| |
| dog_models = glob.glob(datafolder + "/dog/*[!avi]") |
| dog_video = glob.glob(datafolder + "/dog/*.avi")[0] |
| mouse_models = glob.glob(datafolder + "/mouse_lick/*[!avi]") |
| mouse_video = glob.glob(datafolder + "/mouse_lick/*.avi")[0] |
| |
| this_dir = os.path.dirname(os.path.realpath(__file__)) |
| # storing results in /benchmarking/results: (for your PR) |
| out_dir = os.path.normpath(this_dir + "/results") |
| |
| if not os.path.isdir(out_dir): |
| os.mkdir(out_dir) |
| |
| for m in dog_models: |
| benchmark_videos(m, dog_video, output=out_dir, n_frames=n_frames, pixels=pixels) |
| |
| for m in mouse_models: |
| benchmark_videos(m, mouse_video, output=out_dir, n_frames=n_frames, pixels=pixels) |
| ``` |
