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Use video crop coordinates appropriately in create_video_with_all_detections #2524

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Merged
MMathisLab merged 2 commits into from
Feb 19, 2024
Merged

Use video crop coordinates appropriately in create_video_with_all_detections #2524

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6a91c4c
Use video crop coordinates if defined
jeylau Feb 19, 2024
a09d4ed
Pass in a list of coordinates rather than a boolean
jeylau Feb 19, 2024
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16 changes: 14 additions & 2 deletions deeplabcut/utils/make_labeled_video.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@
from pathlib import Path
from functools import partial
from multiprocessing import Pool, get_start_method
from typing import Iterable, Callable, Optional, Union
from typing import Iterable, Callable, List, Optional, Union

import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
Expand Down Expand Up @@ -1009,6 +1009,7 @@ def create_video_with_all_detections(
shuffle=1,
trainingsetindex=0,
displayedbodyparts="all",
cropping: Optional[List[int]] = None,
destfolder=None,
modelprefix="",
confidence_to_alpha: Union[bool, Callable[[float], float]] = False,
Expand Down Expand Up @@ -1040,6 +1041,9 @@ def create_video_with_all_detections(
from config.yaml are used orr a list of strings that are a subset of the full list.
E.g. ['hand','Joystick'] for the demo Reaching-Mackenzie-2018-08-30/config.yaml to select only these two body parts.

cropping: list[int], optional (default=None)
If passed in, the [x1, x2, y1, y2] crop coordinates are used to shift detections appropriately.

destfolder: string, optional
Specifies the destination folder that was used for storing analysis data (default is the path of the video).

Expand Down Expand Up @@ -1081,7 +1085,8 @@ def create_video_with_all_detections(
)

if not (os.path.isfile(outputname)):
print("Creating labeled video for ", str(Path(video).stem))
video_name = str(Path(video).stem)
print("Creating labeled video for ", video_name)
h5file = full_pickle.replace("_full.pickle", ".h5")
data, _ = auxfun_multianimal.LoadFullMultiAnimalData(h5file)
data = dict(
Expand Down Expand Up @@ -1111,6 +1116,11 @@ def create_video_with_all_detections(
clip = vp(fname=video, sname=outputname, codec="mp4v")
ny, nx = clip.height(), clip.width()

x1 = 0
y1 = 0
if cropping is not None:
x1, _, y1, _ = cropping

for n in trange(clip.nframes):
frame = clip.load_frame()
if frame is None:
Expand All @@ -1122,6 +1132,8 @@ def create_video_with_all_detections(
if det.label not in bpts or det.confidence < pcutoff:
continue
x, y = det.pos
x += x1
y += y1
rr, cc = disk((y, x), dotsize, shape=(ny, nx))
alpha = 1
if confidence_to_alpha is not None:
Expand Down