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active.yaml
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active.yaml
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expert:
- name: conf_job
label: Node (confmap) Training Profile
type: list
default: a
options: a,b,c
- name: _view_conf
label: View Node Profile...
type: button
- name: _use_trained_confmaps
label: Use trained confmap model
type: bool
default: False
- name: paf_job
label: Edge (paf) Training Profile
type: list
default: a
options: a,b,c
- name: _use_trained_pafs
label: Use trained paf model
type: bool
default: False
- name: _dont_use_pafs
label: Single-instance mode (without pafs)
type: bool
default: False
- name: _view_paf
label: View Edge Profile...
type: button
- name: centroid_job
label: Centroid Training Profile
type: list
default: a
options: a,b,c
- name: _view_centoids
label: View Centroid Profile...
type: button
- name: _use_trained_centroids
label: Use trained centroid model
type: bool
default: False
- name: instance_crop
label: Crop images to instances (for training)
type: bool
default: False
- name: _use_centroids
label: Centroid detection (for inference)
type: bool
default: False
- name: min_crop_size
label: Minimum crop size
type: list
dtype: int
options: 0,64,128,256,512
default: 0
- name: negative_samples
label: Negative samples (if cropping)
type: int
default: 0
range: 0,1000
- name: batch_size
label: Batch Size
type: int
default: 2
- name: scale
label: Image rescaling factor
type: double
default: 1
- name: sigma_confmaps
label: Sigma for confmaps
type: double
default: 5.0
- name: sigma_pafs
label: Sigma for pafs
type: double
default: 5.0
- name: _predict_frames
label: Predict On
type: list
options: current frame,random frames
default: current frame
- name: _view_datagen
label: View Training Image Inputs...
type: button
learning:
- name: min_crop_size
label: Minimum crop size
type: list
dtype: int
options: 0,64,128,256,512
default: 0
- name: negative_samples
label: Negative samples
type: int
default: 20
range: 0,1000
- name: batch_size
label: Batch Size
type: int
default: 2
- name: sigma_confmaps
label: Sigma for confmaps
type: double
default: 5.0
- name: sigma_pafs
label: Sigma for pafs
type: double
default: 5.0
- name: _predict_frames
label: Predict On
type: list
options: current frame,random frames
default: current frame
- name: _view_datagen
label: View Training Image Inputs...
type: button
inference:
- name: conf_job
label: Node (confmap) Training Profile
type: list
default: a
options: a,b,c
- name: paf_job
label: Edge (paf) Training Profile
type: list
default: a
options: a,b,c
- name: centroid_job
label: Centroid Training Profile
type: list
default: a
options: a,b,c
- name: _predict_frames
label: Predict On
type: list
options: current frame,random frames
default: current frame