def run_on_photo(photo_id): model = LocationModel() sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) from photonix.classifiers.runners import results_for_model_on_photo, get_or_create_tag photo, results = results_for_model_on_photo(model, photo_id) if photo and results['country']: from photonix.photos.models import PhotoTag photo.clear_tags(source='C', type='L') country_tag = get_or_create_tag(library=photo.library, name=results['country']['name'], type='L', source='C') PhotoTag(photo=photo, tag=country_tag, source='C', confidence=1.0, significance=1.0).save() if results['city']: city_tag = get_or_create_tag(library=photo.library, name=results['city']['name'], type='L', source='C', parent=country_tag) PhotoTag(photo=photo, tag=city_tag, source='C', confidence=0.5, significance=0.5).save() return photo, results
def run_on_photo(photo_id): model = ObjectModel() sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) from photonix.classifiers.runners import results_for_model_on_photo, get_or_create_tag photo, results = results_for_model_on_photo(model, photo_id) if photo: from django.utils import timezone from photonix.photos.models import PhotoTag photo.clear_tags(source='C', type='O') for result in results: tag = get_or_create_tag(library=photo.library, name=result['label'], type='O', source='C') PhotoTag(photo=photo, tag=tag, source='C', confidence=result['score'], significance=result['significance'], position_x=result['x'], position_y=result['y'], size_x=result['width'], size_y=result['height']).save() photo.classifier_object_completed_at = timezone.now() photo.classifier_object_version = getattr(model, 'version', 0) photo.save() return photo, results
def run_on_photo(photo_id): model = StyleModel() sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) from photonix.classifiers.runners import results_for_model_on_photo, get_or_create_tag photo, results = results_for_model_on_photo(model, photo_id) if photo: from django.utils import timezone from photonix.photos.models import PhotoTag photo.clear_tags(source='C', type='S') for name, score in results: tag = get_or_create_tag(library=photo.library, name=name, type='S', source='C') PhotoTag(photo=photo, tag=tag, source='C', confidence=score, significance=score).save() photo.classifier_style_completed_at = timezone.now() photo.classifier_style_version = getattr(model, 'version', 0) photo.save() return photo, results
def run_on_photo(photo_id): model = StyleModel() sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) from photonix.classifiers.runners import results_for_model_on_photo, get_or_create_tag photo, results = results_for_model_on_photo(model, photo_id) if photo and results is not None: from photonix.photos.models import PhotoTag photo.clear_tags(source='C', type='S') for name, score in results: tag = get_or_create_tag(library=photo.library, name=name, type='S', source='C') PhotoTag(photo=photo, tag=tag, source='C', confidence=score, significance=score).save() return photo, results