config.yaml

# Project definitions (do not edit)
Task: Reaching
scorer: Mackenzie
date: Aug30

# Project path (change when moving around)
project_path: WILL BE AUTOMATICALLY UPDATED BY DEMO CODE

# Annotation data set configuration (and individual video cropping parameters)
video_sets:
  WILL BE AUTOMATICALLY UPDATED BY DEMO CODE:
    crop: 0, 832, 0, 747
bodyparts:
- Hand
- Finger1
- Tongue
- Joystick1
- Joystick2
start: 0
stop: 1
numframes2pick: 40

# Plotting configuration
skeleton: [['Hand', 'Finger1'], ['Joystick1', 'Joystick2']]
skeleton_color: blue
pcutoff: 0.4
dotsize: 12
alphavalue: 0.7
colormap: jet


# Training,Evaluation and Analysis configuration
TrainingFraction:
- 0.95
iteration: 0
default_net_type: resnet_50
snapshotindex: -1
batch_size: 4

# 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