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Avoid redundant superanimal colormap calls during pytorch inference #3159

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Merged
MMathisLab merged 2 commits into from
Jan 9, 2026
Merged

Avoid redundant superanimal colormap calls during pytorch inference #3159

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c1aaebe
Avoid redundant superanimal colormap calls and unnecessary output pat…
juan-cobos Dec 6, 2025
ef181d5
Merge branch 'main' into avoid-redundant-colormap-calls
MMathisLab Jan 9, 2026
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15 changes: 9 additions & 6 deletions deeplabcut/pose_estimation_pytorch/modelzoo/inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -149,6 +149,10 @@ def _video_inference_superanimal(
if not os.path.exists(dest_folder):
os.makedirs(dest_folder)

if create_labeled_video:
superanimal_colormaps = get_superanimal_colormaps()
colormap = superanimal_colormaps[superanimal_name]

for video_path in video_paths:
print(f"Processing video {video_path}")

Expand Down Expand Up @@ -199,14 +203,13 @@ def _video_inference_superanimal(
with open(output_json, "w") as f:
json.dump(predictions, f, cls=NumpyEncoder)

output_video = output_path / f"{output_prefix}_labeled.mp4"
if len(output_suffix) > 0:
output_video = output_video.with_stem(output_video.stem + output_suffix)

superanimal_colormaps = get_superanimal_colormaps()
colormap = superanimal_colormaps[superanimal_name]

if create_labeled_video:

output_video = output_path / f"{output_prefix}_labeled.mp4"
if len(output_suffix) > 0:
output_video = output_video.with_stem(output_video.stem + output_suffix)

create_video(
video_path,
output_h5,
Expand Down