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Add option to predict on all videos #749

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merged 4 commits into from
May 18, 2022
Merged

Add option to predict on all videos #749

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96193a6
Add option to predict on all videos
roomrys May 17, 2022
151ed6e
Merge branch 'develop' of https://github.com/talmolab/sleap into liez…
roomrys May 17, 2022
662bedb
Remove print statements for troubleshooting
roomrys May 17, 2022
ef47630
Change wording of new option
roomrys May 18, 2022
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3 changes: 3 additions & 0 deletions sleap/gui/app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1556,6 +1556,9 @@ def encode_range(a: int, b: int) -> Tuple[int, int]:

selection["clip"] = {current_video: encode_range(*clip_range)}
selection["video"] = {current_video: encode_range(0, current_video.num_frames)}
selection["all_videos"] = {
video: encode_range(0, video.num_frames) for video in self.labels.videos
}

selection["suggestions"] = {
video: remove_user_labeled(video, self.labels.get_video_suggestions(video))
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14 changes: 12 additions & 2 deletions sleap/gui/learning/dialog.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,6 +193,7 @@ def frame_selection(self, frame_selection: Dict[str, Dict[Video, List[int]]]):
random_video = 0
clip_length = 0
video_length = 0
all_videos_length = 0

# Determine which options are available given _frame_selection
if "random" in self._frame_selection:
Expand All @@ -219,6 +220,10 @@ def frame_selection(self, frame_selection: Dict[str, Dict[Video, List[int]]]):
video_length = self.count_total_frames_for_selection_option(
self._frame_selection["video"]
)
if "all_videos" in self._frame_selection:
all_videos_length = self.count_total_frames_for_selection_option(
self._frame_selection["all_videos"]
)

# Build list of options
# Priority for default (lowest to highest):
Expand Down Expand Up @@ -252,7 +257,10 @@ def frame_selection(self, frame_selection: Dict[str, Dict[Video, List[int]]]):
prediction_options.append(option)
default_option = option

prediction_options.append(f"entire video ({video_length} frames)")
prediction_options.append(f"entire current video ({video_length} frames)")

if len(self.labels.videos) > 1:
prediction_options.append(f"all videos ({all_videos_length} frames)")

self.pipeline_form_widget.fields["_predict_frames"].set_options(
prediction_options, default_option
Expand Down Expand Up @@ -454,8 +462,10 @@ def get_selected_frames_to_predict(
frames_to_predict = self._frame_selection["clip"]
elif predict_frames_choice.startswith("suggested"):
frames_to_predict = self._frame_selection["suggestions"]
elif predict_frames_choice.startswith("entire video"):
elif predict_frames_choice.startswith("entire current video"):
frames_to_predict = self._frame_selection["video"]
elif predict_frames_choice.startswith("all videos"):
frames_to_predict = self._frame_selection["all_videos"]
elif predict_frames_choice.startswith("user"):
frames_to_predict = self._frame_selection["user"]

Expand Down