Function create_config_template

deeplabcut/utils/auxiliaryfunctions.py:41–166

Creates a template for config.yaml file. This specific order is preserved while saving as yaml file.

(multianimal=False)

def create_config_template(multianimal=False):
    """Creates a template for config.yaml file.

    This specific order is preserved while saving as yaml file.
    """
    if multianimal:
        yaml_str = """\
# Project definitions (do not edit)
Task:
scorer:
date:
multianimalproject:
identity:
\n
# Project path (change when moving around)
project_path:
\n
# Default DeepLabCut engine to use for shuffle creation (either pytorch or tensorflow)
engine: pytorch
\n
# Annotation data set configuration (and individual video cropping parameters)
video_sets:
individuals:
uniquebodyparts:
multianimalbodyparts:
bodyparts:
\n
# Fraction of video to start/stop when extracting frames for labeling/refinement
start:
stop:
numframes2pick:
\n
# Plotting configuration
skeleton:
skeleton_color:
pcutoff:
dotsize:
alphavalue:
colormap:
\n
# Training,Evaluation and Analysis configuration
TrainingFraction:
iteration:
default_net_type:
default_augmenter:
default_track_method:
snapshotindex:
detector_snapshotindex:
batch_size:
\n
# Cropping Parameters (for analysis and outlier frame detection)
cropping:
#if cropping is true for analysis, then set the values here:
x1:
x2:
y1:
y2:
\n