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config.yaml
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config.yaml
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# Project definitions (do not edit)
Task: openfield
scorer: Pranav
date: Aug20
multianimalproject: false
identity:
# Project path (change when moving around)
project_path: examples
# Annotation data set configuration (and individual video cropping parameters)
video_sets:
/Data/openfield-Pranav-2018-08-20/videos/m1s1.mp4:
crop: 0, 640, 0, 480
/Data/openfield-Pranav-2018-08-20/videos/m1s2.mp4:
crop: 0, 640, 0, 480
/Data/openfield-Pranav-2018-08-20/videos/m2s1.mp4:
crop: 0, 640, 0, 480
/Data/openfield-Pranav-2018-08-20/videos/m3s1.mp4:
crop: 0, 640, 0, 480
/Data/openfield-Pranav-2018-08-20/videos/m3s2.mp4:
crop: 0, 640, 0, 480
/Data/openfield-Pranav-2018-08-20/videos/m4s1.mp4:
crop: 0, 640, 0, 480
/Data/openfield-Pranav-2018-08-20/videos/m5s1.mp4:
crop: 0, 800, 0, 800
/Data/openfield-Pranav-2018-08-20/videos/m6s1.mp4:
crop: 0, 800, 0, 800
/Data/openfield-Pranav-2018-08-20/videos/m6s2.mp4:
crop: 0, 800, 0, 800
/Data/openfield-Pranav-2018-08-20/videos/m7s1.mp4:
crop: 0, 800, 0, 800
/Data/openfield-Pranav-2018-08-20/videos/m7s2.mp4:
crop: 0, 800, 0, 800
/Data/openfield-Pranav-2018-08-20/videos/m7s3.mp4:
crop: 0, 800, 0, 800
/Data/openfield-Pranav-2018-08-20/videos/m8s1.mp4:
crop: 0, 800, 0, 800
bodyparts:
- snout
- leftear
- rightear
- tailbase
start: 0
stop: 1
numframes2pick: 20
# Plotting configuration
skeleton: []
skeleton_color: black
pcutoff: 0.4
dotsize: 8
alphavalue: 0.7
colormap: jet
# Training,Evaluation and Analysis configuration
TrainingFraction:
- 0.95
iteration: 1
default_net_type: resnet_50
default_augmenter: default
snapshotindex: -1
batch_size: 1
# 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: