def preprocess(self, filepath: Path) -> None:
"""Process one file."""
try:
image = np.array(utils.imread(filepath))
except Exception as e:
logger.warning(f"Cannot read file {filepath}, exception: {e}")
return
filename, extention = filepath.stem, filepath.suffix
out_dir = (self.out_dir / filepath.relative_to(self.in_dir)).parent
out_dir.mkdir(parents=True, exist_ok=True)
patches = cut_with_overlap(
image=image.clip(0, 255).round().astype(np.uint8),
patch_height=self.patch_height,
patch_width=self.patch_width,
height_overlap=self.height_overlap,
width_overlap=self.width_overlap,
min_height=self.min_height,
min_width=self.min_width,
)
for index, patch in enumerate(patches):
out_path = out_dir / f"{filename}_{index}{extention}"
utils.imwrite(uri=out_path, im=patch)
def preprocess(self, image_path: Path):
"""@TODO: Docs. Contribution is welcome."""
try:
_, extension = os.path.splitext(image_path)
kwargs = {
"grayscale": self.grayscale,
"expand_dims": self.expand_dims,
}
if extension.lower() in {"jpg", "jpeg"}:
# imread does not have exifrotate for non-jpeg type
kwargs["exifrotate"] = not self.clear_exif
image = np.array(imread(uri=image_path, **kwargs))
except Exception as e:
print(f"Cannot read file {image_path}, exception: {e}")
return
if self.max_size is not None:
image = longest_max_size(image, self.max_size, self.interpolation)
target_path = self.out_dir / image_path.relative_to(self.in_dir)
target_path.parent.mkdir(parents=True, exist_ok=True)
image = image.clip(0, 255).round().astype(np.uint8)
imwrite(target_path, image)
def preprocess(self, image_path: Path):
try:
if self.extension in ("jpg", "JPG", "jpeg", "JPEG"):
image = np.array(
imread(uri=image_path,
grayscale=self.grayscale,
expand_dims=self.expand_dims,
exifrotate=not self.clear_exif))
else: # imread does not have exifrotate for non-jpeg type
image = np.array(
imread(uri=image_path,
grayscale=self.grayscale,
expand_dims=self.expand_dims))
except Exception as e:
print(f"Cannot read file {image_path}, exception: {e}")
return
if self.max_size is not None:
image = longest_max_size(image, self.max_size, self.interpolation)
target_path = self.out_dir / image_path.relative_to(self.in_dir)
target_path.parent.mkdir(parents=True, exist_ok=True)
image = image.clip(0, 255).round().astype(np.uint8)
imwrite(target_path, image)
def preprocess(self, image_path: Path):
try:
image = np.array(
imread(uri=image_path,
grayscale=self.grayscale,
expand_dims=self.expand_dims,
exifrotate=not self.clear_exif))
except Exception:
return
if self.max_size is not None:
image = longest_max_size(image, self.max_size, self.interpolation)
target_path = self.out_dir / image_path.relative_to(self.in_dir)
target_path.parent.mkdir(parents=True, exist_ok=True)
image = image.clip(0, 255).round().astype(np.uint8)
imwrite(target_path, image)
