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Function _plot_trajectories

deeplabcut/utils/plotting.py:363–414  ·  view source on GitHub ↗
(
    h5file,
    bodyparts=None,
    individuals=None,
    show=False,
    resolution=100,
    linewidth=1.0,
    colormap="viridis",
    alpha=1.0,
    pcutoff=0.01,
    suffix="",
    image_type=".png",
    dest_folder=None,
)

Source from the content-addressed store, hash-verified

361
362
363def _plot_trajectories(
364 h5file,
365 bodyparts=None,
366 individuals=None,
367 show=False,
368 resolution=100,
369 linewidth=1.0,
370 colormap="viridis",
371 alpha=1.0,
372 pcutoff=0.01,
373 suffix="",
374 image_type=".png",
375 dest_folder=None,
376):
377 df = pd.read_hdf(h5file)
378 if bodyparts is None:
379 bodyparts = list(df.columns.get_level_values("bodyparts").unique())
380 if individuals is None:
381 try:
382 individuals = set(df.columns.get_level_values("individuals"))
383 except KeyError:
384 individuals = [""]
385 if dest_folder is None:
386 vname = os.path.basename(h5file).split("DLC")[0]
387 vid_folder = os.path.dirname(h5file)
388 dest_folder = os.path.join(vid_folder, "plot-poses", vname)
389 auxiliaryfunctions.attempt_to_make_folder(dest_folder, recursive=True)
390 # Keep only the individuals and bodyparts that were labeled
391 labeled_bpts = [bp for bp in df.columns.get_level_values("bodyparts").unique() if bp in bodyparts]
392 # Either display the animals defined in the config if they are found
393 # in the dataframe, or all the trajectories regardless of their names
394 try:
395 animals = set(df.columns.get_level_values("individuals"))
396 except KeyError:
397 animals = {""}
398 cfg = {
399 "colormap": colormap,
400 "alphavalue": alpha,
401 "pcutoff": pcutoff,
402 }
403 for animal in animals.intersection(individuals) or animals:
404 PlottingResults(
405 dest_folder,
406 df,
407 cfg,
408 labeled_bpts,
409 animal,
410 show,
411 suffix + animal + image_type,
412 resolution=resolution,
413 linewidth=linewidth,
414 )
415
416
417def _plot_paf_performance(

Callers 3

after_adapt_inferenceMethod · 0.90
plot_trajectoriesFunction · 0.85

Calls 3

PlottingResultsFunction · 0.85
uniqueMethod · 0.80
splitMethod · 0.45

Tested by

no test coverage detected