def load_idx(self, idx, **kwargs):
if self.rgb_f is None:
raise ValueError("Please call open_file() first!")
self.rgb_f.seek(0)
self.rgb_f.seek(idx)
image = self.rgb_f
kwds = {}
try:
self._get_header(image, kwds)
except Exception as e:
self.logger.warning("Failed to get image metadata: %s" % (str(e)))
metadata = dict(header=kwds)
# convert to working color profile, if can
if self.clr_mgr.can_profile():
image = self.clr_mgr.profile_to_working_pil(image, kwds)
# convert from PIL to numpy
data_np = np.array(image)
from ginga.RGBImage import RGBImage
data_obj = RGBImage(data_np=data_np, logger=self.logger)
data_obj.io = self
name = self.fileinfo.name + '[{}]'.format(idx)
data_obj.set(name=name,
path=self.fileinfo.filepath,
idx=idx,
header=kwds)
return data_obj
def load_idx(self, idx, **kwargs):
if self.rgb_f is None:
raise ValueError("Please call open_file() first!")
if idx is None:
idx = 0
self.rgb_f.set(cv2.CAP_PROP_POS_FRAMES, idx)
okay, data_np = self.rgb_f.read()
if not okay:
raise ValueError("Error reading index {}".format(idx))
metadata = {}
data_np = self._process_opencv_array(data_np, metadata,
self.fileinfo.filepath)
from ginga.RGBImage import RGBImage
data_obj = RGBImage(data_np=data_np, logger=self.logger,
order=metadata['order'], metadata=metadata)
data_obj.io = self
name = self.fileinfo.name + '[{}]'.format(idx)
data_obj.set(name=name, path=self.fileinfo.filepath, idx=idx)
return data_obj
def load_idx(self, idx, **kwargs):
if self.rgb_f is None:
raise ValueError("Please call open_file() first!")
# TODO: idx ignored for now for RGB images!
#self.rgb_f.seek(0)
#print(dir(self.rgb_f))
okay, data_np = self.rgb_f.read()
if not okay:
raise ValueError("Error reading index {}".format(idx))
# funky indexing because opencv returns BGR images,
# whereas PIL and others return RGB
if len(data_np.shape) >= 3 and data_np.shape[2] >= 3:
data_np = data_np[..., ::-1]
# OpenCv doesn't "do" image metadata, so we punt to piexif
# library (if installed)
kwds = {}
self.piexif_getexif(self._path, kwds)
# OpenCv added a feature to do auto-orientation when loading
# (see https://github.com/opencv/opencv/issues/4344)
# So reset these values to prevent auto-orientation from
# happening later
kwds['Orientation'] = 1
kwds['Image Orientation'] = 1
# convert to working color profile, if can
if self.clr_mgr.can_profile():
data_np = self.clr_mgr.profile_to_working_numpy(data_np, kwds)
from ginga.RGBImage import RGBImage
data_obj = RGBImage(data_np=data_np, logger=self.logger)
data_obj.io = self
name = self.fileinfo.name + '[{}]'.format(idx)
data_obj.set(name=name,
path=self.fileinfo.filepath,
idx=idx,
header=kwds)
return data_obj
