Files
modelscope/tests/pipelines/test_head_reconstruction.py
biwen.lbw 10d1fbe86f add head_reconstruction and text_to_head model
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/14099746

* add head_reconstruction and text_to_head model

* change savedir
2023-09-21 10:41:25 +08:00

61 lines
2.1 KiB
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import io
import os
import os.path as osp
import sys
import unittest
import cv2
from modelscope.hub.snapshot_download import snapshot_download
from modelscope.models.cv.face_reconstruction.utils import write_obj
from modelscope.outputs import OutputKeys
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
sys.path.append('.')
class HeadReconstructionTest(unittest.TestCase):
def setUp(self) -> None:
self.task = Tasks.head_reconstruction
self.model_id = 'damo/cv_HRN_head-reconstruction'
self.test_image = 'data/test/images/face_reconstruction.jpg'
def save_results(self, result, save_root):
os.makedirs(save_root, exist_ok=True)
# export obj and texture
mesh = result[OutputKeys.OUTPUT]['mesh']
texture_map = result[OutputKeys.OUTPUT_IMG]
mesh['texture_map'] = texture_map
write_obj(os.path.join(save_root, 'head_recon_result.obj'), mesh)
print(f'Output written to {osp.abspath(save_root)}')
def pipeline_inference(self, pipeline: Pipeline, input_location: str):
result = pipeline(input_location)
self.save_results(result, './head_reconstruction_results')
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
def test_run_by_direct_model_download(self):
model_dir = snapshot_download(self.model_id, revision='v0.2')
head_reconstruction = pipeline(
Tasks.head_reconstruction, model=model_dir)
self.pipeline_inference(head_reconstruction, self.test_image)
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
def test_run_modelhub(self):
head_reconstruction = pipeline(
Tasks.head_reconstruction,
model=self.model_id,
model_revision='v0.2')
self.pipeline_inference(head_reconstruction, self.test_image)
if __name__ == '__main__':
unittest.main()