Skip to content

Fix error in AP calculation and update classes hyena config #4

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Cangonin wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Fix error in AP calculation and update classes hyena config #4

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions .gitignore
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -127,8 +127,7 @@ data-bin/
scripts/libPeak/_peak_detection.cpp

# VSCODE
.vscode/ftp-sync.json
.vscode/settings.json
.vscode/

# Experimental Folder
experimental/*
Expand All @@ -143,4 +142,5 @@ outputs

# Other
results
logs
logs
data/
2 changes: 1 addition & 1 deletion configs/hyenas/finetune_mixup_100.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ task:
min_sample_size: 1000
min_label_size: 2936 # Empty label files have Bytesize 2936, so to exclude them set this to 2936
normalize: true
unique_labels: "['groan', 'oth', 'whoop', 'alarm_rumble', 'squitter', 'squeal', 'feeding', 'giggle', 'growl', 'focal']"
unique_labels: "['groan', 'oth', 'whoop', 'alarm_rumble', 'squitter', 'squeal', 'feeding', 'giggle', 'growl', 'snore', 'focal']"
with_labels: true
conv_feature_layers: '[(127, 63, 1)] +[(512, 10, 5)] + [(512, 3, 4)] + [(512, 3, 3)] + [(512, 3, 2)] + [(512, 3, 1)] + [(512, 2, 1)] * 2'
sample_rate: 24000
Expand Down
6 changes: 5 additions & 1 deletion scripts/get_ap_scores_from_predictions.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,11 @@ def remove_empty_rows(
Tuple[NDArray, NDArray]: Filtered predictions and targets with empty rows removed.

"""
non_empty_indices = np.where(targets.sum(axis=1) != 0)[0]
empty_indices_targets = np.where(targets.sum(axis=1) == 0)[0]
empty_indices_pred = np.where(predictions.sum(axis=1) == 0)[0]
empty_indices = np.intersect1d(empty_indices_pred, empty_indices_targets)
all_indices = np.arange(len(targets))
non_empty_indices = np.setdiff1d(all_indices, empty_indices)
return predictions[non_empty_indices], targets[non_empty_indices]


Expand Down