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test_cviw.py
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test_cviw.py
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# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
import unittest
import numpy as np
import paddle
sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "../.."))
from paddlemix.appflow import Appflow
from ppdiffusers.utils import load_image, load_numpy
from tests.testing_utils import _run_slow_test
class OpenSetDetSamAppSlowTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.url = (
"https://paddlenlp.bj.bcebos.com/models/community/CompVis/stable-diffusion-v1-4/overture-creations.png"
)
cls.expected_image = load_numpy(
"https://bj.bcebos.com/v1/paddlenlp/models/community/Sam/SamVitH-1024/overture-creations-mask.npy"
)
if __name__ == "__main__":
def create_test(name, static_mode):
def test_openset_det_sam(self):
paddle.seed(1024)
self.task = Appflow(
app="openset_det_sam",
models=["GroundingDino/groundingdino-swint-ogc", "Sam/SamVitH-1024"],
static_mode=static_mode,
)
prompt = "dog"
image_pil = load_image(self.url)
result = self.task(image=image_pil, prompt=prompt)
boxes = np.array([174, 115, 311, 465])
avg_diff = np.abs(result["boxes"][0] - boxes).mean()
assert avg_diff < 5, f"Error bbox deviates {avg_diff} pixels on average"
avg_diff = np.abs(
result["seg_masks"][0].cpu().numpy().astype(int) - self.expected_image.astype(int)
).mean()
assert avg_diff < 10, f"Error image deviates {avg_diff} pixels on average"
setattr(OpenSetDetSamAppSlowTest, name, test_openset_det_sam)
create_test(name="test_static", static_mode=False)
if _run_slow_test:
create_test(name="test_static", static_mode=True)
unittest.main()