config.yaml

    # Project definitions (do not edit)
Task: Example
scorer: Maski
date: May1
multianimalproject: true
identity: false

    # Project path (change when moving around)
project_path: W:\Python\Example-Maski-2022-05-01

    # Annotation data set configuration (and individual video cropping parameters)
video_sets:
  W:\Python\Example-Maski-2022-05-01\videos\Horse Walk-5J1lxVgXsOY-480p-1651401758058.mp4:
    crop: 0, 640, 0, 480
  W:\Python\Example-Maski-2022-05-01\videos\How fast does an Ostrich run.mov-1r-b8uY7C9E-480p-1651401905685.mp4:
    crop: 0, 720, 0, 480
  W:\Python\Example-Maski-2022-05-01\videos\videoplayback.mp4:
    crop: 0, 640, 0, 360
individuals:
- individual1
- individual2
- individual3
uniquebodyparts: []
multianimalbodyparts:
- righthandbottom
- righthandtop
- lefthandbottom
- lefthanbdtop
- rightlegbottom
- rightlegtop
- leftlegbottom
- leftlegtop
- head
- body1
- body2
bodyparts: MULTI!

    # Fraction of video to start/stop when extracting frames for labeling/refinement
start: 0
stop: 1
numframes2pick: 20

    # Plotting configuration
skeleton:
- - righthandbottom
  - righthandtop
- - lefthandbottom
  - lefthanbdtop
- - rightlegbottom
  - rightlegtop
- - leftlegbottom
  - leftlegtop
- - head
  - body1
- - body1
  - body2
skeleton_color: black
pcutoff: 0.6
dotsize: 12
alphavalue: 0.7
colormap: rainbow

    # Training,Evaluation and Analysis configuration
TrainingFraction:
- 0.95
iteration: 0
default_net_type: dlcrnet_ms5
default_augmenter: multi-animal-imgaug
default_track_method: ellipse
snapshotindex: -1
batch_size: 8

    # Cropping Parameters (for analysis and outlier frame detection)
cropping: false
    #if cropping is true for analysis, then set the values here:
x1: 0
x2: 640
y1: 277
y2: 624

    # Refinement configuration (parameters from annotation dataset configuration also relevant in this stage)
corner2move2:
- 50
- 50
move2corner: true