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# standard imports
import contextlib
import io
import os
import unittest
# external imports
import requests
import PIL.Image
# bsie imports
from bsie.utils import errors
# objects to test
from bsie.reader.face import FaceExtract
## code ##
def fetch(source, target):
target = os.path.join(os.path.dirname(__file__), target)
if not os.path.exists(target):
with open(target, 'wb') as ofile:
ans = requests.get(source)
ofile.write(ans.content)
class TestFaceExtract(unittest.TestCase):
def setUp(self):
# download test image w/o face
fetch('https://www.bsfs.io/testdata/Quiejoore1ahxa9jahma.jpg', 'faces-noface.jpg')
# download test image w/ face
fetch('https://www.bsfs.io/testdata/ONekai7Ohphooch3aege.jpg', 'faces-ivan.jpg')
# download errounous images
fetch('https://www.bsfs.io/testdata/kie7wo7sheix7thieG2f.gif', 'faces-dimerr.gif')
fetch('https://www.bsfs.io/testdata/Mee1aunooneoSaexohTh.gif', 'faces-valueerr.gif')
def test_essentials(self):
# repr respects min_face_prob
self.assertEqual(repr(FaceExtract(min_face_prob=1.0)), 'FaceExtract(1.0)')
self.assertEqual(repr(FaceExtract(min_face_prob=0.5)), 'FaceExtract(0.5)')
# repr respects type
class Foo(FaceExtract): pass
self.assertEqual(repr(Foo(min_face_prob=0.5)), 'Foo(0.5)')
# comparison respects type
class Foo(): pass
self.assertNotEqual(FaceExtract(), 1234)
self.assertNotEqual(hash(FaceExtract()), hash(1234))
self.assertNotEqual(FaceExtract(), 'hello')
self.assertNotEqual(hash(FaceExtract()), hash('hello'))
self.assertNotEqual(FaceExtract(), Foo())
self.assertNotEqual(hash(FaceExtract()), hash(Foo()))
# comparison respects constructor arguments (except cuda_device)
self.assertEqual(FaceExtract(), FaceExtract())
self.assertEqual(hash(FaceExtract()), hash(FaceExtract()))
self.assertNotEqual(FaceExtract(), FaceExtract(target_size=10))
self.assertNotEqual(hash(FaceExtract()), hash(FaceExtract(target_size=10)))
self.assertNotEqual(FaceExtract(), FaceExtract(min_face_size=10))
self.assertNotEqual(hash(FaceExtract()), hash(FaceExtract(min_face_size=10)))
self.assertNotEqual(FaceExtract(), FaceExtract(min_face_prob=1.))
self.assertNotEqual(hash(FaceExtract()), hash(FaceExtract(min_face_prob=1.)))
self.assertNotEqual(FaceExtract(), FaceExtract(ext_face_size=100))
self.assertNotEqual(hash(FaceExtract()), hash(FaceExtract(ext_face_size=100)))
self.assertNotEqual(FaceExtract(), FaceExtract(thresholds=[0.1,0.1,0.1]))
self.assertNotEqual(hash(FaceExtract()), hash(FaceExtract(thresholds=[0.1,0.1,0.1])))
self.assertNotEqual(FaceExtract(), FaceExtract(factor=1.))
self.assertNotEqual(hash(FaceExtract()), hash(FaceExtract(factor=1.)))
# comparison ignores cuda_device
self.assertEqual(FaceExtract(), FaceExtract(cuda_device='cuda:123'))
self.assertEqual(hash(FaceExtract()), hash(FaceExtract(cuda_device='cuda:123')))
def test_preprocess(self):
testpath = os.path.join(os.path.dirname(__file__), 'faces-noface.jpg')
with PIL.Image.open(testpath) as img:
self.assertEqual(img.size, (199, 148))
# landscape, downscale, no rotation
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 100, None)
self.assertEqual(img.size, (100, 74))
self.assertEqual(denorm((10,10)), (10*1.99, 10*2.0))
# landscape, upscale, no rotation
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 398, None)
self.assertEqual(img.size, (398, 296))
self.assertEqual(denorm((10,10)), (10*0.5, 10*0.5))
# landscape, downscale, 90cw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 100, 90)
self.assertEqual(img.size, (74, 100))
self.assertEqual(denorm((10,10)), (10.0*1.99, 64*2.0))
# landscape, upscale, 90cw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 398, 90)
self.assertEqual(img.size, (296, 398))
self.assertEqual(denorm((10,10)), (10*0.5, 286*0.5))
# landscape, downscale, 90ccw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 100, 270)
self.assertEqual(img.size, (74, 100))
self.assertEqual(denorm((10,10)), (90*1.99, 10*2.0))
# landscape, upscale, 90ccw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 398, 270)
self.assertEqual(img.size, (296, 398))
self.assertEqual(denorm((10,10)), (388*0.5, 10*0.5))
# landscape, downscale, 180
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 100, 180)
self.assertEqual(img.size, (100, 74))
self.assertEqual(denorm((10,10)), (90*1.99, 64*2.0))
# landscape, upscale, 180
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 398, 180)
self.assertEqual(img.size, (398, 296))
self.assertEqual(denorm((10,10)), (388*0.5, 286*0.5))
# portrait, downscale, no rotation
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 100, None)
self.assertEqual(img.size, (74, 100))
self.assertEqual(denorm((10,10)), (10*2.0, 10*1.99))
# portrait, upscale, no rotation
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 398, None)
self.assertEqual(img.size, (296, 398))
self.assertEqual(denorm((10,10)), (10*0.5, 10*0.5))
# portrait, downscale, 90cw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 100, 90)
self.assertEqual(img.size, (100, 74))
self.assertEqual(denorm((10,10)), (10.0*2.0, 90*1.99))
# portrait, upscale, 90cw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 398, 90)
self.assertEqual(img.size, (398, 296))
self.assertEqual(denorm((10,10)), (10*0.5, 388*0.5))
# portrait, downscale, 90ccw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 100, 270)
self.assertEqual(img.size, (100, 74))
self.assertEqual(denorm((10,10)), (64*2.0, 10*1.99))
# portrait, upscale, 90ccw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 398, 270)
self.assertEqual(img.size, (398, 296))
self.assertEqual(denorm((10,10)), (286*0.5, 10*0.5))
# portrait, downscale, 180
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 100, 180)
self.assertEqual(img.size, (74, 100))
self.assertEqual(denorm((10,10)), (64*2.0, 90*1.99))
# portrait, upscale, 180
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath).rotate(90, expand=True), 398, 180)
self.assertEqual(img.size, (296, 398))
self.assertEqual(denorm((10,10)), (286*0.5, 388*0.5))
# square image
testpath = os.path.join(os.path.dirname(__file__), 'faces-ivan.jpg')
with PIL.Image.open(testpath) as img:
self.assertEqual(img.size, (561, 561))
# square, downscale, no rotation
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 51, None)
self.assertEqual(img.size, (51, 51))
self.assertEqual(denorm((10,10)), (10*11, 10*11))
# square, upscale, no rotation
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 1122, None)
self.assertEqual(img.size, (1122, 1122))
self.assertEqual(denorm((10,10)), (10*0.5, 10*0.5))
# square, downscale, 90cw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 51, 90)
self.assertEqual(img.size, (51, 51))
self.assertEqual(denorm((10,10)), (10.0*11, 41*11))
# square, upscale, 90cw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 1122, 90)
self.assertEqual(img.size, (1122, 1122))
self.assertEqual(denorm((10,10)), (10*0.5, 1112*0.5))
# square, downscale, 90ccw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 51, 270)
self.assertEqual(img.size, (51, 51))
self.assertEqual(denorm((10,10)), (41*11, 10*11))
# square, upscale, 90ccw
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 1122, 270)
self.assertEqual(img.size, (1122, 1122))
self.assertEqual(denorm((10,10)), (1112*0.5, 10*0.5))
# square, downscale, 180
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 51, 180)
self.assertEqual(img.size, (51, 51))
self.assertEqual(denorm((10,10)), (41*11, 41*11))
# square, upscale, 180
img, denorm = FaceExtract.preprocess(PIL.Image.open(testpath), 1122, 180)
self.assertEqual(img.size, (1122, 1122))
self.assertEqual(denorm((10,10)), (1112*0.5, 1112*0.5))
def test_call(self):
with contextlib.redirect_stderr(io.StringIO()): # NOTE: hide warnings from facenet_pytorch
rdr = FaceExtract()
# discards non-image files
self.assertRaises(errors.UnsupportedFileFormatError, rdr,
__file__)
# raises on invalid image
self.assertRaises(errors.UnsupportedFileFormatError, rdr,
os.path.join(os.path.dirname(__file__), 'testimage_exif_corrupted.jpg'))
# raises on missing file
self.assertRaises(errors.ReaderError, rdr,
os.path.join(os.path.dirname(__file__), 'invalid.jpg'))
# raises on dimensions error (pytorch RuntimeError)
self.assertRaises(errors.ReaderError, rdr,
os.path.join(os.path.dirname(__file__), 'faces-dimerr.gif'))
# raises on content error (ValueError)
self.assertRaises(errors.ReaderError, rdr,
os.path.join(os.path.dirname(__file__), 'faces-valueerr.gif'))
# may return empty list
self.assertListEqual(FaceExtract(min_face_prob=1)(
os.path.join(os.path.dirname(__file__), 'faces-noface.jpg')), [])
self.assertListEqual(FaceExtract(min_face_prob=1)(
os.path.join(os.path.dirname(__file__), 'faces-ivan.jpg')), [])
# returns faces
faces = rdr(os.path.join(os.path.dirname(__file__), 'faces-ivan.jpg'))
# check if face was detected
self.assertEqual(len(faces), 1)
# check ucid
self.assertSetEqual({f['ucid'] for f in faces}, {
'926dc1684dd453aa2c3c8daf1c82ecf918514ef0de416b6b842235c23bec32ee',
})
# check embedding
for face in faces:
self.assertEqual(face['embedding'].shape, (512, ))
# check bbox
self.assertAlmostEqual(faces[0]['x'], 275.8, 2)
self.assertAlmostEqual(faces[0]['y'], 91.67, 2)
self.assertAlmostEqual(faces[0]['width'], 50.5, 2)
self.assertAlmostEqual(faces[0]['height'], 65.42, 2)
## main ##
if __name__ == '__main__':
unittest.main()
## EOF ##
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