def test_raw_panel_manual(panel_image_name):
img = image.Image(panel_image_name)
pan = panel.Panel(img,
panelCorners=[[809, 613], [648, 615], [646, 454],
[808, 452]])
mean, std, num, sat = pan.raw()
assert mean == pytest.approx(45406, rel=0.01)
assert std == pytest.approx(738.0, rel=0.05)
assert num == pytest.approx(26005, rel=0.001)
assert sat == pytest.approx(0, abs=2)
def test_raw_panel_bad_corners(panel_image_name):
img = image.Image(panel_image_name)
pan = panel.Panel(img,
panelCorners=[[460, 599], [583, 599], [584, 478],
[462, 477]])
mean, std, num, sat = pan.raw()
assert mean == pytest.approx(26965, rel=0.01)
assert std == pytest.approx(15396.0, rel=0.05)
assert num == pytest.approx(14824, rel=0.01)
assert sat == pytest.approx(0, abs=2)
def from_filelist(cls, file_list):
if len(file_list) == 0:
raise IOError("No files provided. Check your file paths")
for fle in file_list:
if not os.path.isfile(fle):
raise IOError(
"All files in file list must be a file. The following file is not:\nfle"
)
images = [image.Image(fle) for fle in file_list]
return cls(images)
def test_qr_corners(panel_image_name):
img = image.Image(panel_image_name)
pan = panel.Panel(img)
qr_corners = pan.qr_corners()
good_qr_corners = [[460, 599], [583, 599], [584, 478], [462, 477]]
assert qr_corners is not None
assert len(qr_corners) == len(good_qr_corners)
assert pan.serial == 'RP02-1603036-SC'
for i, pt in enumerate(qr_corners):
# different opencv/zbar versions round differently it seems
assert pt[0] == pytest.approx(good_qr_corners[i][0], abs=3)
assert pt[1] == pytest.approx(good_qr_corners[i][1], abs=3)
def test_panel_corners(panel_image_name):
img = image.Image(panel_image_name)
pan = panel.Panel(img)
panel_pts = pan.panel_corners()
good_pts = [[809, 613], [648, 615], [646, 454], [808, 452]]
assert panel_pts is not None
assert len(panel_pts) == len(good_pts)
assert pan.serial == 'RP02-1603036-SC'
for i, pt in enumerate(panel_pts):
# different opencv/zbar versions round differently it seems
assert pt[0] == pytest.approx(good_pts[i][0], abs=3)
assert pt[1] == pytest.approx(good_pts[i][1], abs=3)
def from_filelist(cls, file_list):
"""
Create Capture instance from List of file paths.
:param file_list: List of str system file paths.
:return: Capture object.
"""
if len(file_list) == 0:
raise IOError("No files provided. Check your file paths.")
for file in file_list:
if not os.path.isfile(file):
raise IOError(f"All files in file list must be a file. The following file is not:\n{file}")
images = [image.Image(file) for file in file_list]
return cls(images)
def test_altum_panel(altum_panel_image_name):
img = image.Image(altum_panel_image_name)
assert img.auto_calibration_image == True
pan = panel.Panel(img)
panel_pts = pan.panel_corners()
good_pts = [[1278, 483], [1176, 491], [1184, 591], [1286, 583]]
assert panel_pts is not None
assert len(panel_pts) == len(good_pts)
assert pan.serial == 'RP04-1901231-SC'
print(panel_pts)
for i, pt in enumerate(panel_pts):
# different opencv/zbar versions round differently it seems
assert pt[0] == pytest.approx(good_pts[i][0], abs=3)
assert pt[1] == pytest.approx(good_pts[i][1], abs=3)
assert pan.qr_corners() == None
def test_panel_corners(panel_image_name):
img = image.Image(panel_image_name)
pan = panel.Panel(img)
panel_pts = pan.panel_corners()
good_pts = [[809, 613], [648, 615], [646, 454], [808, 452]]
assert panel_pts is not None
assert len(panel_pts) == len(good_pts)
assert pan.serial == 'RP02-1603036-SC'
# the particular order of the points is not relevant
# so sort by coordinates
panel_pts = sorted(panel_pts, key=operator.itemgetter(0, 1))
good_pts = sorted(good_pts, key=operator.itemgetter(0, 1))
for i, pt in enumerate(panel_pts):
# different opencv/zbar versions round differently it seems
assert pt[0] == pytest.approx(good_pts[i][0], abs=3)
assert pt[1] == pytest.approx(good_pts[i][1], abs=3)
def test_raw_panel_saturatedl(panel_image_name):
img = image.Image(panel_image_name)
pan = panel.Panel(img,
panelCorners=[[809, 613], [648, 615], [646, 454],
[808, 452]])
#saturate 2500 pixels in the raw image - note that on the undistorted image this
#will result in 2329 saturated pixels
i0 = img.undistorted(img.raw())
i0[500:550, 700:750] = 4095 * 16 + 1
img.set_undistorted(i0)
mean, std, num, sat = pan.raw()
assert mean == pytest.approx(47245, rel=0.01)
assert std == pytest.approx(5846.1, rel=0.05)
assert num == pytest.approx(26005, rel=0.001)
assert sat == pytest.approx(2500, abs=0)
def from_directory(cls,
directory,
progress_callback=None,
exiftool_path=None):
"""
Create and ImageSet recursively from the files in a directory
"""
cls.basedir = directory
matches = []
for root, dirnames, filenames in os.walk(directory):
for filename in fnmatch.filter(filenames, '*.tif'):
matches.append(os.path.join(root, filename))
images = []
if exiftool_path is None and os.environ.get(
'exiftoolpath') is not None:
exiftool_path = os.path.normpath(os.environ.get('exiftoolpath'))
with exiftool.ExifTool(exiftool_path) as exift:
for i, path in enumerate(matches):
images.append(image.Image(path, exiftool_obj=exift))
if progress_callback is not None:
progress_callback(float(i) / float(len(matches)))
# create a dictionary to index the images so we can sort them
# into captures
# {
# "capture_id": [img1, img2, ...]
# }
captures_index = {}
for img in images:
c = captures_index.get(img.capture_id)
if c is not None:
c.append(img)
else:
captures_index[img.capture_id] = [img]
captures = []
for cap_imgs in captures_index:
imgs = captures_index[cap_imgs]
newcap = capture.Capture(imgs)
captures.append(newcap)
if progress_callback is not None:
progress_callback(1.0)
return cls(captures)
def test_RP06_panel_raw(panel_images_RP06):
test_mean = [33082, 34347, 33971, 34186, 33371]
test_std = [474.7, 582.6, 476.3, 464, 658.9]
test_num = [3616, 3552, 3669, 3612, 3729]
test_sat = [0, 0, 0, 0, 0]
for i, m, s, n, sa in zip(panel_images_RP06, test_mean, test_std, test_num,
test_sat):
img = image.Image(i)
pan = panel.Panel(img)
mean, std, num, sat = pan.raw()
assert pan.panel_detected()
print('mean {:f} std {:f} num {:f} sat {:f}'.format(
mean, std, num, sat))
print('m {:f} s {:f} n {:f} sa {:f}'.format(m, s, n, sa))
assert mean == pytest.approx(m, rel=0.1)
assert std == pytest.approx(s, rel=0.1)
assert num == pytest.approx(n, rel=0.1)
assert sat == pytest.approx(sa, rel=0.1)
def test_altum_panel(altum_panel_image_name):
img = image.Image(altum_panel_image_name)
assert img.auto_calibration_image == True
pan = panel.Panel(img)
panel_pts = pan.panel_corners()
good_pts = [[1278, 483], [1176, 491], [1184, 591], [1286, 583]]
assert panel_pts is not None
assert len(panel_pts) == len(good_pts)
assert pan.serial == 'RP04-1901231-SC'
# the particular order of the points is not relevant
# so sort by coordinates
panel_pts = sorted(panel_pts, key=operator.itemgetter(0, 1))
good_pts = sorted(good_pts, key=operator.itemgetter(0, 1))
for i, pt in enumerate(panel_pts):
# different opencv/zbar versions round differently it seems
assert pt[0] == pytest.approx(good_pts[i][0], abs=3)
assert pt[1] == pytest.approx(good_pts[i][1], abs=3)
assert pan.qr_corners() == None
def bad_dls2_horiz_irr_image():
image_path = os.path.join('data', 'ALTUM0SET', '000')
return image.Image(os.path.join(image_path, 'IMG_0000_1.tif'))
def altum_lwir_image(altum_files_dir):
return image.Image(os.path.join(altum_files_dir, 'IMG_0000_6.tif'))
def altum_flight_image(altum_flight_image_name):
return image.Image(altum_flight_image_name)
def panel_altum_image(panel_altum_file_name):
return image.Image(panel_altum_file_name)
def img2(files_dir):
return image.Image(os.path.join(files_dir, 'IMG_0000_2.tif'))
def test_append_list():
imgs = [image.Image(fle) for fle in file_list()]
cap = capture.Capture(imgs[0])
assert len(cap.images) == 1
cap.append_images(imgs[1:])
assert len(cap.images) == 5
def test_from_images():
imgs = [image.Image(fle) for fle in file_list()]
cap = capture.Capture(imgs)
assert cap is not None
assert len(cap.images) == len(file_list())
def test_panel_not_detected(flight_image_name):
img = image.Image(flight_image_name)
pan = panel.Panel(img)
assert pan.panel_detected() == False
def image_from_file(filename):
return image.Image(filename)
def test_append_list(panel_rededge_file_list):
imgs = [image.Image(fle) for fle in panel_rededge_file_list]
cap = capture.Capture(imgs[0])
assert len(cap.images) == 1
cap.append_images(imgs[1:])
assert len(cap.images) == 5
def from_file(cls, file_name):
return cls(image.Image(file_name))
def panel_altum_capture(panel_altum_file_list):
imgs = [image.Image(fle) for fle in panel_altum_file_list]
return capture.Capture(imgs)
def test_altum_lwir(altum_lwir_image_name):
img = image.Image(altum_lwir_image_name)
assert img.auto_calibration_image == False
pan = panel.Panel(img)
assert pan.panel_detected() == False
def test_unordered_coordinates(panel_image_name):
img = image.Image(panel_image_name)
ordered_corners = [(809, 613), (648, 615), (646, 454), (808, 452)]
unordered_corners = [(648, 615), (809, 613), (808, 452), (646, 454)]
pan = panel.Panel(img, panelCorners=unordered_corners)
assert pan.ordered_panel_coordinates() == ordered_corners
def append_file(self, file_name):
self.append_image(image.Image(file_name))
def test_altum_images(non_panel_altum_file_list):
imgs = [image.Image(fle) for fle in non_panel_altum_file_list]
cap = capture.Capture(imgs)
assert cap is not None
assert len(cap.images) == len(non_panel_altum_file_list)
def from_filelist(cls, file_list):
images = [image.Image(fle) for fle in file_list]
return cls(images)
def test_from_images(panel_rededge_file_list):
imgs = [image.Image(fle) for fle in panel_rededge_file_list]
cap = capture.Capture(imgs)
assert cap is not None
assert len(cap.images) == len(panel_rededge_file_list)
