8000 Added upper limit of the instance count in prediction score labeling suggestion method by hsingchien · Pull Request #981 · talmolab/sleap · GitHub
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Added upper limit of the instance count in prediction score labeling suggestion method #981

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Merged
merged 15 commits into from
Oct 24, 2022
Merged

Added upper limit of the instance count in prediction score labeling suggestion method #981

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02d418a
added number of instance in prediction score. fixed track naming issue
hsingchien Sep 26, 2022
1106ba4
corrected environment.yml back to default
hsingchien Sep 26, 2022
5b08973
hsingchien Sep 26, 2022
9369a40
hsingchien Sep 26, 2022
f04891d
hsingchien Sep 26, 2022
f7dcb17
Edited test cases to fit the added function of suggestions-prediction…
hsingchien Sep 27, 2022
bca3218
Corrected comments
hsingchien Sep 29, 2022
3a2ceb0
minor cleanup
hsingchien Oct 5, 2022
0bdc9c5
minor cleanup
hsingchien Oct 5, 2022
cf7d4be
changed idx according to roomrys suggestion to solve frame0
hsingchien Oct 8, 2022
4b6443d
corrected comments, added suggestion test
hsingchien Oct 9, 2022
8000 f75711e
corrected format and debug leftovers
hsingchien Oct 9, 2022
33a34c8
Corrected test_suggestions
hsingchien Oct 23, 2022
080729b
Merge branch 'develop' into prediction_score
hsingchien Oct 23, 2022
4c17333
Remove dependency changes (move to seperate PR)
roomrys Oct 24, 2022
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361 changes: 180 additions & 181 deletions sleap/config/suggestions.yaml
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Original file line number Diff line number Diff line change
@@ -1,182 +1,181 @@
main:

- name: method
label: Method
type: stacked
default: " "
options: " ,image features,sample,prediction score,velocity"
" ":

sample:
- name: per_video
label: Samples Per Video
type: int
default: 20
range: 1,3000
- name: sampling_method
label: Sampling method
type: list
options: random,stride
default: stride

"image features":
- name: per_video
label: Initial Samples Per Video
type: int
default: 200
range: 1,3000
- name: sample_method
label: Sampling method
type: list
options: random,stride
default: stride
- name: scale
label: Image Scale
type: double
default: 1.0
- name: merge_video_features
label: Compute Features
type: list
options: per video,across all videos
default: per video
- name: feature_type
label: Image Feature Type
type: list
options: raw images,brisk,hog
default: raw images
- name: brisk_threshold
label: Brisk Keypoint Threshold
type: int
default: 40
- name: vocab_size
label: Bag of Features Vocab Size
type: int
default: 20
- name: pca_components
label: PCA Components
type: int
default: 5
- name: n_clusters
label: K-Means Clusters
type: int
default: 5
- name: per_cluster
label: Samples Per Cluster
type: int
default: 5


strides:

- name: per_video
label: Suggestions per video
type: int
default: 10
range: 1,1000

random:

- name: per_video
label: Suggestions per video
type: int
default: 10
range: 1,1000

# pca:
#
# - name: clusters
# label: Number of clusters
# type: int
# default: 5
# - name: per_cluster
# label: Samples per cluster
# type: int
# default: 5
# - name: initial_samples
# label: Samples before clustering
# type: int
# default: 200
# range: 10,1000
# - name: pca_components
# label: Number of PCA components
# type: int
# default: 5
#
# hog:
#
# - name: clusters
# label: Number of clusters
# type: int
# default: 5
# - name: per_cluster
# label: Samples per cluster
# type: int
# default: 5
# - name: sample_step
# label: Frame sampling step size
# type: int
# default: 5
# - name: pca_components
# label: Number of PCA components
# type: int
# default: 5
#
# brisk:
#
# - name: clusters
# label: Number of clusters
# type: int
# default: 5
# - name: per_cluster
# label: Samples per cluster
# type: int
# default: 5
# - name: initial_samples
# label: Samples before clustering
# type: int
# default: 200
# range: 10,1000
# - name: pca_components
# label: Number of PCA components
# type: int
# default: 5

"prediction score":

- name: score_limit
label: Low score (lt)
type: double
default: 3.0
range: 0,100
- name: instance_limit
label: Instance count (gte)
type: int
default: 2
range: 1,10

velocity:
- name: node
label: Node
type: list
- name: threshold
label: Velocity Threshold
type: double
default: 0.1
range: 0.1,1.0


- name: target
label: Target
type: stacked
options: "all videos,current video"
default: "all videos"

# Type is stacked because this makes the boxes aligned.

"all videos":
"current video":

- name: generate_button
label: Generate Suggestions
type: button
default: main action
- name: method
label: Method
type: stacked
default: " "
options: " ,image features,sample,prediction score,velocity"
" ":

sample:
- name: per_video
label: Samples Per Video
type: int
default: 20
range: 1,3000
- name: sampling_method
label: Sampling method
type: list
options: random,stride
default: stride

"image features":
- name: per_video
label: Initial Samples Per Video
type: int
default: 200
range: 1,3000
- name: sample_method
label: Sampling method
type: list
options: random,stride
default: stride
- name: scale
label: Image Scale
type: double
default: 1.0
- name: merge_video_features
label: Compute Features
type: list
options: per video,across all videos
default: per video
- name: feature_type
label: Image Feature Type
type: list
options: raw images,brisk,hog
default: raw images
- name: brisk_threshold
label: Brisk Keypoint Threshold
type: int
default: 40
- name: vocab_size
label: Bag of Features Vocab Size
type: int
default: 20
- name: pca_components
label: PCA Components
type: int
default: 5
- name: n_clusters
label: K-Means Clusters
type: int
default: 5
- name: per_cluster
label: Samples Per Cluster
type: int
default: 5

strides:
- name: per_video
label: Suggestions per video
type: int
default: 10
range: 1,1000

random:
- name: per_video
label: Suggestions per video
type: int
default: 10
range: 1,1000

# pca:
#
# - name: clusters
# label: Number of clusters
# type: int
# default: 5
# - name: per_cluster
# label: Samples per cluster
# type: int
# default: 5
# - name: initial_samples
# label: Samples before clustering
# type: int
# default: 200
# range: 10,1000
# - name: pca_components
# label: Number of PCA components
# type: int
# default: 5
#
# hog:
#
# - name: clusters
# label: Number of clusters
# type: int
# default: 5
# - name: per_cluster
# label: Samples per cluster
# type: int
# default: 5
# - name: sample_step
# label: Frame sampling step size
# type: int
# default: 5
# - name: pca_components
# label: Number of PCA components
# type: int
# default: 5
#
# brisk:
#
# - name: clusters
# label: Number of clusters
# type: int
# default: 5
# - name: per_cluster
# label: Samples per cluster
# type: int
# default: 5
# - name: initial_samples
# label: Samples before clustering
# type: int
# default: 200
# range: 10,1000
# - name: pca_components
# label: Number of PCA components
# type: int
# default: 5

"prediction score":
- name: score_limit
label: Low score (lt)
type: double
default: 3.0
range: 0,100
- name: instance_limit_lower
label: Instance count at least
type: int
default: 1
range: 0,10
- name: instance_limit_upper
label: Instance count no more than
type: int
default: 2
range: 0,10

velocity:
- name: node
label: Node
type: list
- name: threshold
label: Velocity Threshold
type: double
default: 0.1
range: 0.1,1.0

- name: target
label: Target
type: stacked
options: "all videos,current video"
default: "all videos"

# Type is stacked because this makes the boxes aligned.

"all videos":
"current video":

- name: generate_button
label: Generate Suggestions
type: button
default: main action
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