wehub-resource-sync
235 lines
7.5 KiB
Python
235 lines
7.5 KiB
Python
# Copyright (c) 2026 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.
|
|
|
|
"""
|
|
视觉变换单元测试 / Vision Transforms Unit Tests
|
|
|
|
测试目标 / Test Target:
|
|
paddle.vision.transforms 模块
|
|
|
|
覆盖的模块 / Covered Modules:
|
|
- paddle.vision.transforms: 图像变换操作
|
|
- Resize, RandomCrop, CenterCrop, Normalize, ToTensor等
|
|
|
|
作用 / Purpose:
|
|
覆盖图像预处理变换的各种代码路径，补充视觉变换功能的测试。
|
|
"""
|
|
|
|
import unittest
|
|
|
|
import numpy as np
|
|
from PIL import Image
|
|
|
|
import paddle
|
|
from paddle.vision.transforms import (
|
|
CenterCrop,
|
|
ColorJitter,
|
|
Compose,
|
|
Grayscale,
|
|
Normalize,
|
|
Pad,
|
|
RandomCrop,
|
|
RandomHorizontalFlip,
|
|
RandomRotation,
|
|
RandomVerticalFlip,
|
|
Resize,
|
|
ToTensor,
|
|
)
|
|
|
|
paddle.disable_static()
|
|
|
|
|
|
def create_test_image(height=64, width=64, channels=3):
|
|
"""创建测试图像 / Create test image"""
|
|
arr = np.random.randint(0, 255, (height, width, channels), dtype=np.uint8)
|
|
return Image.fromarray(arr)
|
|
|
|
|
|
def create_numpy_image(height=64, width=64, channels=3):
|
|
"""创建numpy测试图像 / Create numpy test image"""
|
|
return np.random.randint(0, 255, (height, width, channels), dtype=np.uint8)
|
|
|
|
|
|
class TestResize(unittest.TestCase):
|
|
"""测试Resize变换 / Test Resize transform"""
|
|
|
|
def test_resize_pil(self):
|
|
"""测试PIL图像Resize / Test PIL image resize"""
|
|
resize = Resize(32)
|
|
img = create_test_image(64, 64)
|
|
result = resize(img)
|
|
self.assertEqual(min(result.size), 32)
|
|
|
|
def test_resize_tuple(self):
|
|
"""测试指定尺寸Resize / Test resize to specific size"""
|
|
resize = Resize((32, 48))
|
|
img = create_test_image(64, 64)
|
|
result = resize(img)
|
|
self.assertEqual(result.size, (48, 32))
|
|
|
|
def test_resize_numpy(self):
|
|
"""测试numpy图像Resize (PIL模式) / Test numpy resize via PIL"""
|
|
resize = Resize(32)
|
|
img = create_test_image(64, 64)
|
|
result = resize(img)
|
|
self.assertEqual(min(result.size), 32)
|
|
|
|
|
|
class TestCrop(unittest.TestCase):
|
|
"""测试裁剪变换 / Test crop transforms"""
|
|
|
|
def test_center_crop(self):
|
|
"""测试中心裁剪 / Test center crop"""
|
|
crop = CenterCrop(32)
|
|
img = create_test_image(64, 64)
|
|
result = crop(img)
|
|
self.assertEqual(result.size, (32, 32))
|
|
|
|
def test_random_crop(self):
|
|
"""测试随机裁剪 / Test random crop"""
|
|
crop = RandomCrop(32)
|
|
img = create_test_image(64, 64)
|
|
result = crop(img)
|
|
self.assertEqual(result.size, (32, 32))
|
|
|
|
def test_random_crop_with_padding(self):
|
|
"""测试带填充的随机裁剪 / Test random crop with padding"""
|
|
crop = RandomCrop(32, padding=4)
|
|
img = create_test_image(32, 32)
|
|
result = crop(img)
|
|
self.assertEqual(result.size, (32, 32))
|
|
|
|
|
|
class TestFlipAndRotate(unittest.TestCase):
|
|
"""测试翻转和旋转变换 / Test flip and rotate transforms"""
|
|
|
|
def test_random_horizontal_flip(self):
|
|
"""测试随机水平翻转 / Test random horizontal flip"""
|
|
flip = RandomHorizontalFlip(prob=1.0) # Always flip
|
|
img = create_test_image(32, 32)
|
|
result = flip(img)
|
|
self.assertEqual(result.size, img.size)
|
|
|
|
def test_random_vertical_flip(self):
|
|
"""测试随机垂直翻转 / Test random vertical flip"""
|
|
flip = RandomVerticalFlip(prob=1.0) # Always flip
|
|
img = create_test_image(32, 32)
|
|
result = flip(img)
|
|
self.assertEqual(result.size, img.size)
|
|
|
|
def test_random_rotation(self):
|
|
"""测试随机旋转 / Test random rotation"""
|
|
rotation = RandomRotation(45)
|
|
img = create_test_image(64, 64)
|
|
result = rotation(img)
|
|
self.assertIsNotNone(result)
|
|
|
|
|
|
class TestNormalize(unittest.TestCase):
|
|
"""测试归一化变换 / Test normalize transform"""
|
|
|
|
def test_normalize_tensor(self):
|
|
"""测试张量归一化 / Test tensor normalization"""
|
|
normalize = Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])
|
|
x = paddle.to_tensor(np.random.rand(3, 32, 32).astype('float32'))
|
|
result = normalize(x)
|
|
self.assertEqual(result.shape, [3, 32, 32])
|
|
|
|
def test_normalize_numpy(self):
|
|
"""测试numpy归一化 / Test numpy normalization"""
|
|
normalize = Normalize(
|
|
mean=[127.5, 127.5, 127.5],
|
|
std=[127.5, 127.5, 127.5],
|
|
data_format='HWC',
|
|
)
|
|
img = create_numpy_image(32, 32).astype('float32')
|
|
result = normalize(img)
|
|
self.assertEqual(result.shape, (32, 32, 3))
|
|
|
|
|
|
class TestToTensorAndTranspose(unittest.TestCase):
|
|
"""测试ToTensor / Test ToTensor"""
|
|
|
|
def test_to_tensor_pil(self):
|
|
"""测试PIL图像转张量 / Test PIL image to tensor"""
|
|
to_tensor = ToTensor()
|
|
img = create_test_image(32, 32)
|
|
result = to_tensor(img)
|
|
self.assertEqual(result.shape, [3, 32, 32])
|
|
# Values should be in [0, 1]
|
|
self.assertTrue(float(result.max().numpy()) <= 1.0)
|
|
|
|
def test_to_tensor_numpy(self):
|
|
"""测试numpy图像转张量 / Test numpy image to tensor"""
|
|
to_tensor = ToTensor()
|
|
img = create_numpy_image(32, 32).astype('float32')
|
|
result = to_tensor(img)
|
|
self.assertIsNotNone(result)
|
|
|
|
|
|
class TestColorTransforms(unittest.TestCase):
|
|
"""测试颜色变换 / Test color transforms"""
|
|
|
|
def test_grayscale(self):
|
|
"""测试灰度化 / Test grayscale"""
|
|
grayscale = Grayscale()
|
|
img = create_test_image(32, 32, 3)
|
|
result = grayscale(img)
|
|
self.assertEqual(result.mode, 'L')
|
|
|
|
def test_grayscale_keep_channels(self):
|
|
"""测试保持通道数的灰度化 / Test grayscale with num_output_channels=3"""
|
|
grayscale = Grayscale(num_output_channels=3)
|
|
img = create_test_image(32, 32, 3)
|
|
result = grayscale(img)
|
|
self.assertEqual(result.mode, 'RGB')
|
|
|
|
def test_color_jitter(self):
|
|
"""测试颜色抖动 / Test color jitter"""
|
|
jitter = ColorJitter(
|
|
brightness=0.2, contrast=0.2, saturation=0.2, hue=0.1
|
|
)
|
|
img = create_test_image(32, 32)
|
|
result = jitter(img)
|
|
self.assertEqual(result.size, img.size)
|
|
|
|
|
|
class TestCompose(unittest.TestCase):
|
|
"""测试Compose组合变换 / Test Compose transformation"""
|
|
|
|
def test_compose_basic(self):
|
|
"""测试基本Compose / Test basic compose"""
|
|
transform = Compose(
|
|
[
|
|
Resize(64),
|
|
CenterCrop(32),
|
|
ToTensor(),
|
|
Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
|
|
]
|
|
)
|
|
img = create_test_image(128, 128)
|
|
result = transform(img)
|
|
self.assertEqual(result.shape, [3, 32, 32])
|
|
|
|
def test_pad_transform(self):
|
|
"""测试Pad填充变换 / Test Pad transform"""
|
|
pad = Pad(4)
|
|
img = create_test_image(32, 32)
|
|
result = pad(img)
|
|
self.assertEqual(result.size, (40, 40))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|