face_size_limit added so we ignore faces that are too small

This commit is contained in:
2022-02-02 21:12:14 +11:00
parent 8b3844d882
commit e1a6348967
3 changed files with 16 additions and 8 deletions

View File

@@ -33,6 +33,7 @@ class Settings(db.Model):
default_refimg_model = db.Column(db.Integer,db.ForeignKey('ai_model.id'), unique=True, nullable=False)
default_scan_model = db.Column(db.Integer,db.ForeignKey('ai_model.id'), unique=True, nullable=False)
default_threshold = db.Column(db.Integer)
face_size_limit = db.Column(db.Integer)
scheduled_import_scan = db.Column(db.Integer)
scheduled_storage_scan = db.Column(db.Integer)
scheduled_bin_cleanup = db.Column(db.Integer)
@@ -40,7 +41,7 @@ class Settings(db.Model):
job_archive_age = db.Column(db.Integer)
def __repr__(self):
return f"<id: {self.id}, import_path: {self.import_path}, storage_path: {self.storage_path}, recycle_bin_path: {self.recycle_bin_path}, default_refimg_model: {self.default_refimg_model}, default_scan_model: {self.default_scan_model}, default_threshold: {self.default_threshold}, scheduled_import_scan:{self.scheduled_import_scan}, scheduled_storage_scan: {self.scheduled_storage_scan}, scheduled_bin_cleanup: {self.scheduled_bin_cleanup}, bin_cleanup_file_age: {self.bin_cleanup_file_age}, job_archive_age: {self.job_archive_age}>"
return f"<id: {self.id}, import_path: {self.import_path}, storage_path: {self.storage_path}, recycle_bin_path: {self.recycle_bin_path}, default_refimg_model: {self.default_refimg_model}, default_scan_model: {self.default_scan_model}, default_threshold: {self.default_threshold}, face_size_limit: {self.face_size_limit}, scheduled_import_scan:{self.scheduled_import_scan}, scheduled_storage_scan: {self.scheduled_storage_scan}, scheduled_bin_cleanup: {self.scheduled_bin_cleanup}, bin_cleanup_file_age: {self.bin_cleanup_file_age}, job_archive_age: {self.job_archive_age}>"
################################################################################
# Helper class that inherits a .dump() method to turn class Settings into json / useful in jinja2
@@ -65,6 +66,7 @@ class SettingsForm(FlaskForm):
default_refimg_model = SelectField( 'Default model to use for reference images', choices=[(c.id, c.name) for c in AIModel.query.order_by('id')] )
default_scan_model = SelectField( 'Default model to use for all scanned images', choices=[(c.id, c.name) for c in AIModel.query.order_by('id')] )
default_threshold = StringField('Face Distance threshold (below is a match):', [validators.DataRequired()])
face_size_limit = StringField('Minimum size of a face:', [validators.DataRequired()])
scheduled_import_scan = IntegerField('Days between forced scan of import path', [validators.DataRequired()])
scheduled_storage_scan = IntegerField('Days between forced scan of storage path', [validators.DataRequired()])
scheduled_bin_cleanup = IntegerField('Days between checking to clean Recycle Bin:', [validators.DataRequired()])
@@ -88,6 +90,7 @@ def settings():
HELP['default_refimg_model']="Default face recognition model used for reference images - cnn is slower/more accurate, hog is faster/less accurate - we scan (small) refimg once, so cnn is okay"
HELP['default_scan_model']="Default face recognition model used for scanned images - cnn is slower/more accurate, hog is faster/less accurate - we scan (large) scanned images lots, so cnn NEEDS gpu/mem"
HELP['default_threshold']="The distance below which a face is considered a match. The default is usually 0.6, we are trying for about 0.55 with kids. YMMV"
HELP['face_size_limit']="The minimum size of a AI detected face, anything below this is so small that all matches fail, so we use this limit to hide them"
HELP['scheduled_import_scan']="The # of days between forced scans of the import path for new images"
HELP['scheduled_storage_scan']="The # of days between forced scans of the storage path for any file system changes outside of Photo Assistant"
HELP['scheduled_bin_cleanup']="The # of days between running a job to delete old files from the Recycle Bin"
@@ -106,6 +109,7 @@ def settings():
s.default_refimg_model = request.form['default_refimg_model']
s.default_scan_model = request.form['default_scan_model']
s.default_threshold = request.form['default_threshold']
s.face_size_limit = request.form['face_size_limit']
s.scheduled_import_scan = request.form['scheduled_import_scan']
s.scheduled_storage_scan = request.form['scheduled_storage_scan']
s.scheduled_bin_cleanup = request.form['scheduled_bin_cleanup']