Skip to content
Merged
Show file tree
Hide file tree
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
fixed annotation text; need to upload new GIF
  • Loading branch information
n-poulsen committed Feb 10, 2025
commit db73377dd7f0b57d8b15fdd86e7aae2c01830d53
Binary file modified docs/images/box1-multi.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file modified docs/images/box1-single.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
11 changes: 9 additions & 2 deletions docs/maDLC_UserGuide.md
Original file line number Diff line number Diff line change
Expand Up @@ -205,7 +205,11 @@ behaviors, and not extract the frames across the whole video. This can be achiev
parameters in the config.yaml file. Also, the user can change the number of frames to extract from each video using
the numframes2extract in the config.yaml file.

**For maDLC, be sure you have labeled frames with closely interacting animals!** Therefore, manually selecting some frames is a good idea if interactions are not highly frequent in the video.
```{TIP}
For maDLC, **be sure you have labeled frames with closely interacting animals**!
Therefore, manually selecting some frames is a good idea if interactions are not highly
frequent in the video.
```

However, picking frames is highly dependent on the data and the behavior being studied. Therefore, it is hard to
provide all purpose code that extracts frames to create a good training dataset for every behavior and animal. If the user feels specific frames are lacking, they can extract hand selected frames of interest using the interactive GUI
Expand Down Expand Up @@ -249,7 +253,10 @@ labels to the bodyparts in the config.yaml file. Thereafter, the user can call t
Note, we also highly recommend that you use more bodypoints that you might otherwise have (see the example below).

**Example Labeling with maDeepLabCut:**
- note you should within an animal be consistent, i.e., all bodyparts on mouse1 should be on mouse1, but across frames "mouse1" can be any of the black mice (as here it is nearly impossible to tell them apart visually). IF you can tell them apart, do label consistently!
Note you should within an animal be consistent, i.e., all bodyparts on mouse1 should be
on mouse1, but across frames "mouse1" can be any of the black mice (as here it is nearly
impossible to tell them apart visually). IF you can tell them apart, do label
consistently!

// FIXME(niels): updated image for napari-deeplabcut annotation GUI

Expand Down