update

export.py

@@ -0,0 +1,62 @@
+import os
+import unittest
+
+import cv2
+
+from modelscope.exporters.cv import CartoonTranslationExporter
+from modelscope.msdatasets import MsDataset
+from modelscope.outputs import OutputKeys
+from modelscope.pipelines import pipeline
+from modelscope.pipelines.base import Pipeline
+from modelscope.trainers.cv import CartoonTranslationTrainer
+from modelscope.utils.constant import Tasks
+from modelscope.utils.test_utils import test_level
+
+
+class TestImagePortraitStylizationTrainer(unittest.TestCase):
+
+    def setUp(self) -> None:
+        self.task = Tasks.image_portrait_stylization
+        self.test_image = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/image_cartoon.png'
+
+    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
+    def test_run_with_model_name(self):
+        model_id = 'damo/cv_unet_person-image-cartoon_compound-models'
+
+        data_dir = MsDataset.load(
+            'dctnet_train_clipart_mini_ms',
+            namespace='menyifang',
+            split='train').config_kwargs['split_config']['train']
+
+        data_photo = os.path.join(data_dir, 'face_photo')
+        data_cartoon = os.path.join(data_dir, 'face_cartoon')
+        work_dir = 'exp_localtoon'
+        max_steps = 10
+        trainer = CartoonTranslationTrainer(
+            model=model_id,
+            work_dir=work_dir,
+            photo=data_photo,
+            cartoon=data_cartoon,
+            max_steps=max_steps)
+        trainer.train()
+
+        # export pb file
+        ckpt_path = os.path.join(work_dir, 'saved_models', 'model-' + str(0))
+        pb_path = os.path.join(trainer.model_dir, 'cartoon_h.pb')
+        exporter = CartoonTranslationExporter()
+        exporter.export_frozen_graph_def(
+            ckpt_path=ckpt_path, frozen_graph_path=pb_path)
+
+        # infer with pb file
+        self.pipeline_person_image_cartoon(trainer.model_dir)
+
+    def pipeline_person_image_cartoon(self, model_dir):
+        pipeline_cartoon = pipeline(task=self.task, model=model_dir)
+        result = pipeline_cartoon(input=self.test_image)
+        if result is not None:
+            cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG])
+            print(f'Output written to {os.path.abspath("result.png")}')
+
+
+if __name__ == '__main__':
+    unittest.main()