dlc-tf / kunin-dlc-240814 /config.yaml
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# Project definitions (do not edit)
Task: demo
scorer: me
date: Aug14
multianimalproject: true
identity:
# Project path (change when moving around)
project_path: /app/kunin-dlc-240814
# Annotation data set configuration (and individual video cropping parameters)
video_sets:
/Users/placeholder.mp4:
crop: 0, 400, 0, 400
individuals:
- mus1
uniquebodyparts: []
multianimalbodyparts:
- snout
- leftear
- rightear
- shoulder
- spine1
- spine2
- spine3
- spine4
- tailbase
- tail1
- tail2
- tailend
bodyparts:
- snout
- leftear
- rightear
- shoulder
- spine1
- spine2
- spine3
- spine4
- tailbase
- tail1
- tail2
- tailend
# Fraction of video to start/stop when extracting frames for labeling/refinement
# Fraction of video to start/stop when extracting frames for labeling/refinement
start: 0
stop: 1
numframes2pick: 16
# Plotting configuration
skeleton:
- - snout
- leftear
- - snout
- rightear
- - snout
- tailbase
skeleton_color: cyan
pcutoff: 0.01
dotsize: 3
alphavalue: 0.7
colormap: spring
# Training,Evaluation and Analysis configuration
TrainingFraction:
- 0.95
iteration: 0
default_net_type: resnet_50
default_augmenter: default
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
croppedtraining: true
resnet: 50