face_size_limit added so we ignore faces that are too small
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@@ -242,13 +242,14 @@ class Settings(Base):
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default_refimg_model = Column(Integer,ForeignKey('ai_model.id'), unique=True, nullable=False)
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default_scan_model = Column(Integer,ForeignKey('ai_model.id'), unique=True, nullable=False)
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default_threshold = Column(Integer)
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face_size_limit = Column(Integer)
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scheduled_import_scan = Column(Integer)
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scheduled_storage_scan = Column(Integer)
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scheduled_bin_cleanup = Column(Integer)
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bin_cleanup_file_age = Column(Integer)
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def __repr__(self):
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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}>"
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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}>"
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################################################################################
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# Class describing Person to Refimg link in DB via sqlalchemy
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@@ -1913,16 +1914,18 @@ def InitialValidationChecks():
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####################################################################################################################################
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# AddFaceToFile(): adds the specified face, location & model_used to the specified file
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####################################################################################################################################
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def AddFaceToFile( locn_data, face_data, file_eid, model_id ):
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def AddFaceToFile( locn_data, face_data, file_eid, model_id, settings ):
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w = locn_data[1] - locn_data[3]
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h = locn_data[2] - locn_data[0]
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if w < settings.face_size_limit or h < settings.face_size_limit:
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return
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face = Face( face=face_data.tobytes(), locn=json.dumps(locn_data), w=w, h=h )
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session.add(face)
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session.commit()
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ffl = FaceFileLink( face_id=face.id, file_eid=file_eid, model_used=model_id )
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session.add(ffl)
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session.commit()
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return face
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return
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####################################################################################################################################
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# DelFacesForFile(): quick func to delete any faces associated with the specified file
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@@ -2022,7 +2025,7 @@ def ScanFileForPerson( job, e, force=False ):
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face_locations = face_recognition.face_locations(im, model=model.name )
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unknown_encodings = face_recognition.face_encodings(im, known_face_locations=face_locations)
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for locn, face in zip( face_locations, unknown_encodings ):
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AddFaceToFile( locn, face, e.id, model.id )
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AddFaceToFile( locn, face, e.id, model.id, settings )
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file_h.faces_created_on = time.time()
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faces = session.query(Face).join(FaceFileLink).filter(FaceFileLink.file_eid==e.id).all()
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@@ -33,6 +33,7 @@ class Settings(db.Model):
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default_refimg_model = db.Column(db.Integer,db.ForeignKey('ai_model.id'), unique=True, nullable=False)
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default_scan_model = db.Column(db.Integer,db.ForeignKey('ai_model.id'), unique=True, nullable=False)
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default_threshold = db.Column(db.Integer)
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face_size_limit = db.Column(db.Integer)
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scheduled_import_scan = db.Column(db.Integer)
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scheduled_storage_scan = db.Column(db.Integer)
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scheduled_bin_cleanup = db.Column(db.Integer)
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@@ -40,7 +41,7 @@ class Settings(db.Model):
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job_archive_age = db.Column(db.Integer)
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def __repr__(self):
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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}>"
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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}>"
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################################################################################
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# Helper class that inherits a .dump() method to turn class Settings into json / useful in jinja2
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@@ -65,6 +66,7 @@ class SettingsForm(FlaskForm):
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default_refimg_model = SelectField( 'Default model to use for reference images', choices=[(c.id, c.name) for c in AIModel.query.order_by('id')] )
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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')] )
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default_threshold = StringField('Face Distance threshold (below is a match):', [validators.DataRequired()])
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face_size_limit = StringField('Minimum size of a face:', [validators.DataRequired()])
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scheduled_import_scan = IntegerField('Days between forced scan of import path', [validators.DataRequired()])
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scheduled_storage_scan = IntegerField('Days between forced scan of storage path', [validators.DataRequired()])
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scheduled_bin_cleanup = IntegerField('Days between checking to clean Recycle Bin:', [validators.DataRequired()])
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@@ -88,6 +90,7 @@ def settings():
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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"
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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"
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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"
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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"
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HELP['scheduled_import_scan']="The # of days between forced scans of the import path for new images"
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HELP['scheduled_storage_scan']="The # of days between forced scans of the storage path for any file system changes outside of Photo Assistant"
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HELP['scheduled_bin_cleanup']="The # of days between running a job to delete old files from the Recycle Bin"
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@@ -106,6 +109,7 @@ def settings():
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s.default_refimg_model = request.form['default_refimg_model']
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s.default_scan_model = request.form['default_scan_model']
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s.default_threshold = request.form['default_threshold']
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s.face_size_limit = request.form['face_size_limit']
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s.scheduled_import_scan = request.form['scheduled_import_scan']
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s.scheduled_storage_scan = request.form['scheduled_storage_scan']
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s.scheduled_bin_cleanup = request.form['scheduled_bin_cleanup']
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@@ -8,6 +8,7 @@ insert into AI_MODEL values ( 2, 'cnn', 'more accurate / much slower' );
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create table SETTINGS(
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ID integer, BASE_PATH varchar, IMPORT_PATH varchar, STORAGE_PATH varchar, RECYCLE_BIN_PATH varchar,
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DEFAULT_REFIMG_MODEL integer, DEFAULT_SCAN_MODEL integer, DEFAULT_THRESHOLD float,
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FACE_SIZE_LIMIT integer,
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SCHEDULED_IMPORT_SCAN integer, SCHEDULED_STORAGE_SCAN integer,
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SCHEDULED_BIN_CLEANUP integer, BIN_CLEANUP_FILE_AGE integer,
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JOB_ARCHIVE_AGE integer,
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@@ -146,8 +147,8 @@ insert into PERSON values ( (select nextval('PERSON_ID_SEQ')), 'mum', 'Mandy', '
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insert into PERSON values ( (select nextval('PERSON_ID_SEQ')), 'cam', 'Cameron', 'De Paoli' );
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insert into PERSON values ( (select nextval('PERSON_ID_SEQ')), 'mich', 'Michelle', 'De Paoli' );
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-- DEV(ddp):
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insert into SETTINGS ( id, base_path, import_path, storage_path, recycle_bin_path, default_refimg_model, default_scan_model, default_threshold, scheduled_import_scan, scheduled_storage_scan, scheduled_bin_cleanup, bin_cleanup_file_age, job_archive_age ) values ( (select nextval('SETTINGS_ID_SEQ')), '/home/ddp/src/photoassistant/', 'images_to_process/', 'photos/', '.pa_bin/', 1, 1, '0.55', 1, 1, 7, 30, 3 );
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insert into SETTINGS ( id, base_path, import_path, storage_path, recycle_bin_path, default_refimg_model, default_scan_model, default_threshold, face_size_limit, scheduled_import_scan, scheduled_storage_scan, scheduled_bin_cleanup, bin_cleanup_file_age, job_archive_age ) values ( (select nextval('SETTINGS_ID_SEQ')), '/home/ddp/src/photoassistant/', 'images_to_process/', 'photos/', '.pa_bin/', 1, 1, '0.55', 43, 1, 1, 7, 30, 3 );
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-- DEV(cam):
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--insert into SETTINGS ( id, base_path, import_path, storage_path, recycle_bin_path, default_refimg_model, default_scan_model, default_threshold, scheduled_import_scan, scheduled_storage_scan, scheduled_bin_cleanup, bin_cleanup_file_age, job_archive_age ) values ( (select nextval('SETTINGS_ID_SEQ')), 'c:/Users/cam/Desktop/code/python/photoassistant/', 'c:\images_to_process', 'photos/', '.pa_bin/', 1, 1, '0.55', 1, 1, 7, 30, 3 );
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--insert into SETTINGS ( id, base_path, import_path, storage_path, recycle_bin_path, default_refimg_model, default_scan_model, default_threshold, face_size_limit, scheduled_import_scan, scheduled_storage_scan, scheduled_bin_cleanup, bin_cleanup_file_age, job_archive_age ) values ( (select nextval('SETTINGS_ID_SEQ')), 'c:/Users/cam/Desktop/code/python/photoassistant/', 'c:\images_to_process', 'photos/', '.pa_bin/', 1, 1, '0.55', 43, 1, 1, 7, 30, 3 );
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-- PROD:
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--insert into SETTINGS ( id, base_path, import_path, storage_path, recycle_bin_path, default_refimg_model, default_scan_model, default_threshold, scheduled_import_scan, scheduled_storage_scan, scheduled_bin_cleanup, bin_cleanup_file_age, job_archive_age ) values ( (select nextval('SETTINGS_ID_SEQ')), '/export/docker/storage/', 'Camera_uploads/', 'photos/', '.pa_bin/', 1, 1, '0.55', 1, 1, 7, 30, 4 );
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--insert into SETTINGS ( id, base_path, import_path, storage_path, recycle_bin_path, default_refimg_model, default_scan_model, default_threshold, face_size_limit, scheduled_import_scan, scheduled_storage_scan, scheduled_bin_cleanup, bin_cleanup_file_age, job_archive_age ) values ( (select nextval('SETTINGS_ID_SEQ')), '/export/docker/storage/', 'Camera_uploads/', 'photos/', '.pa_bin/', 1, 1, '0.55', 43, 1, 1, 7, 30, 4 );
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