default_config.yaml

# general
video_files:    #list of video file paths
data_type: dlc   #either dlc (DeepLabCut) or calms21 (Caltech Mouse Social Interactions)
n_ind: 1 #this will be set as the number of individuals if no detection or annotation files are available
individuals: [null] # The name of the individuals
actions: null
#actions to label (you can also enter them in the GUI)
min_length_frames: 0 #tracklets shorter than this number or frames will be omitted

# loading
max_loaded_frames: 500 #the maximum number of frames kept in RAM
load_chunk: 50 #the number of frames loaded per loading operation
load_buffer: 100 #when you move further than this number of frames from the beginning of the loaded part, earlier frames will be deleted from RAM
backend: pyav_fast        #backend for loading the videos (either 'cv2', 'pyav', 'pyav_fast' or 'decord', depends on which library you have installed; 'pyav' is currently recommended)

# active learning
max_loaded_frames_al: 300 #the maximum number of frames kept in RAM in active learning mode
load_chunk_al: 150 #the number of frames loaded per loading operation in active learning mode
load_buffer_al: 100 #when you move further than this number of frames from the beginning of the loaded part, earlier frames will be deleted from RAM in active learning mode
al_window_num: 10 #the number of active learning windows kept in RAM
al_points_file: null #the path to a pickled dictionary
al_buffer: 20 #the number of frames that will be loaded before the start of an active learning interval
start_al: true #start in active learning mode
hard_negative_classes: []   #a least of labels to add hard negatives for
assessment_n: 10 #the number of samples to pick to assess suggestions

# display
skeleton_size: 4 #size of skeleton markers for displaying DLC data
console_width: 200 #minimum size of the console
actionbar_width: 100 #size of the action bar
default_frequency: 40 #video update interval: the bigger it is the slower the video is played by default
max_frequency: 100 #maximum video update interval
canvas_size:             #canvas size (not necessary if a video is loaded)
- 1280
- 480
font_size: 8 #font size for bounding boxes
detection_update_freq: 1 #interval for bounding box / skeleton marker update (a smaller number means smoother movement, but may slow down the video)
video_upload_window: true #open a file loader dialog to load a video if it is not given
upload_window: false #open an file loader dialog to load skeleton or detection files if they are not given
load_segmentation: ask   #when to open segmentation if it's available ('always', 'never' or 'ask')
cat_choice: false #show a window to choose actions from a long action list (always true if actions is a dictionary)
mask_opacity: 0.3 #the default segmentation mask opacity
segmentation_suffix: .msgpack #the suffix of the segmentation file
skeleton: null #a list of bodypart name tuples to connect in a skeleton
likelihood_cutoff: 0.6 #bodyparts with a lower likelihood will not be displayed
3d_bodyparts: null #a list of bodypart names corresponding to the 3d pose file (used to draw the skeleton)
display_3d: true #display the 3D data by default if provided
display_repr: true #display the reprojections by default if provided
multiview: false #display multiple views if available

# file paths
detection_files: [null] #pickled lists of per-frame detections in [y_min, x_min, y_max, x_max, id] format (one per video view)
skeleton_files: [null] #the DLC output files (one per video view)
suggestion_files: [null] #the paths to the suggestion files (one per video view)
3d_suffix: null #the suffix of the 3d pose file
calibration_path: #the path to a numpy calibration file that can be used with the 3d pose file to display reprojections
suffix: "_annotation.pickle"   #if not null it will be used to create a default output file name
prefix_separator: null #if not null, everything before the first occurence of the separator will be stripped from the default output file name
prior_suffix: null #a suffix or a list of suffixes that will be used to load and display pre-existing annotations; in that case the new and the old annotations will be kept in separate files
DLC_suffix: null
#if not null it will be used to load the skeleton file (if multiple the first suffix that leads to an existing file will be used)
annotator: "unknown annotator"   #will be saved as metadata in the annotation file
project: "unknown project"
# other