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modelscope/tests/pipelines/test_document_vl_embedding.py

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# Copyright (c) Alibaba, Inc. and its affiliates.
import os.path as osp
import unittest
import json
from modelscope.hub.snapshot_download import snapshot_download
from modelscope.models import Model
from modelscope.pipelines import pipeline
from modelscope.pipelines.base import Pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.test_utils import test_level
2023-05-22 10:53:18 +08:00
class DocumentVLEmbeddingTest(unittest.TestCase):
def setUp(self) -> None:
self.model_id = 'damo/multi-modal_convnext-roberta-base_vldoc-embedding'
cache_path = snapshot_download(self.model_id)
self.test_image = osp.join(cache_path, 'data/demo.png')
self.test_json = osp.join(cache_path, 'data/demo.json')
self.task = Tasks.document_vl_embedding
def pipeline_inference(self, pipe: Pipeline):
inp = {'images': [self.test_image], 'ocr_info_paths': [self.test_json]}
result = pipe(inp)
print('Results of VLDoc: ')
for k, v in result.items():
print(f'{k}: {v.size()}')
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_run_with_model_name(self):
doc_VL_emb_pipeline = pipeline(task=self.task, model=self.model_id)
self.pipeline_inference(doc_VL_emb_pipeline)
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_run_with_model_from_modelhub(self):
print('test_run_with_model_from_modelhub')
model = Model.from_pretrained(self.model_id)
doc_VL_emb_pipeline = pipeline(task=self.task, model=model)
self.pipeline_inference(doc_VL_emb_pipeline)
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
def test_run_modelhub_default_model(self):
print('test_run_modelhub_default_model')
# default model: VLDoc
vldoc_doc_VL_emb_pipeline = pipeline(self.task)
self.pipeline_inference(vldoc_doc_VL_emb_pipeline)
if __name__ == '__main__':
unittest.main()