Loading docs/source/api_doc/tagging/tagging_benchmark.plot.py +28 −1 Original line number Diff line number Diff line Loading @@ -2,7 +2,7 @@ import random from benchmark import BaseBenchmark, create_plot_cli from imgutils.tagging import get_deepdanbooru_tags, get_wd14_tags, get_mldanbooru_tags, get_deepgelbooru_tags, \ get_camie_tags get_camie_tags, get_pixai_tags class DeepdanbooruBenchmark(BaseBenchmark): Loading Loading @@ -95,6 +95,32 @@ class CamieBenchmark(BaseBenchmark): _ = get_camie_tags(image_file, model_name=self.model_name) class PixAITaggerBenchmark(BaseBenchmark): def __init__(self, model_name: str): BaseBenchmark.__init__(self) self.model_name = model_name def load(self): from imgutils.tagging.pixai import _open_tags, _open_preprocess, _open_onnx_model, \ _open_default_category_thresholds _ = _open_tags(self.model_name) _ = _open_preprocess(self.model_name) _ = _open_onnx_model(self.model_name) _ = _open_default_category_thresholds(self.model_name) def unload(self): from imgutils.tagging.pixai import _open_tags, _open_preprocess, _open_onnx_model, \ _open_default_category_thresholds _open_tags.cache_clear() _open_preprocess.cache_clear() _open_onnx_model.cache_clear() _open_default_category_thresholds.cache_clear() def run(self): image_file = random.choice(self.all_images) _ = get_pixai_tags(image_file, model_name=self.model_name) if __name__ == '__main__': create_plot_cli( [ Loading @@ -113,6 +139,7 @@ if __name__ == '__main__': ('mldanbooru', MLDanbooruBenchmark()), ('camie-initial', CamieBenchmark('initial')), ('camie-refined', CamieBenchmark('refined')), ('pixai-tagger-v0.9', PixAITaggerBenchmark('v0.9')), ], title='Benchmark for Tagging Models', run_times=10, Loading Loading
docs/source/api_doc/tagging/tagging_benchmark.plot.py +28 −1 Original line number Diff line number Diff line Loading @@ -2,7 +2,7 @@ import random from benchmark import BaseBenchmark, create_plot_cli from imgutils.tagging import get_deepdanbooru_tags, get_wd14_tags, get_mldanbooru_tags, get_deepgelbooru_tags, \ get_camie_tags get_camie_tags, get_pixai_tags class DeepdanbooruBenchmark(BaseBenchmark): Loading Loading @@ -95,6 +95,32 @@ class CamieBenchmark(BaseBenchmark): _ = get_camie_tags(image_file, model_name=self.model_name) class PixAITaggerBenchmark(BaseBenchmark): def __init__(self, model_name: str): BaseBenchmark.__init__(self) self.model_name = model_name def load(self): from imgutils.tagging.pixai import _open_tags, _open_preprocess, _open_onnx_model, \ _open_default_category_thresholds _ = _open_tags(self.model_name) _ = _open_preprocess(self.model_name) _ = _open_onnx_model(self.model_name) _ = _open_default_category_thresholds(self.model_name) def unload(self): from imgutils.tagging.pixai import _open_tags, _open_preprocess, _open_onnx_model, \ _open_default_category_thresholds _open_tags.cache_clear() _open_preprocess.cache_clear() _open_onnx_model.cache_clear() _open_default_category_thresholds.cache_clear() def run(self): image_file = random.choice(self.all_images) _ = get_pixai_tags(image_file, model_name=self.model_name) if __name__ == '__main__': create_plot_cli( [ Loading @@ -113,6 +139,7 @@ if __name__ == '__main__': ('mldanbooru', MLDanbooruBenchmark()), ('camie-initial', CamieBenchmark('initial')), ('camie-refined', CamieBenchmark('refined')), ('pixai-tagger-v0.9', PixAITaggerBenchmark('v0.9')), ], title='Benchmark for Tagging Models', run_times=10, Loading