random_patching
Random patching utilities.
extract_patches_random(arr, patch_size, target=None, seed=None)
#
Generate patches from an array in a random manner.
The method calculates how many patches the image can be divided into and then extracts an equal number of random patches.
It returns a generator that yields the following:
- patch: np.ndarray, dimension C(Z)YX.
- target_patch: np.ndarray, dimension C(Z)YX, if the target is present, None otherwise.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
arr | ndarray | Input image array. | required |
patch_size | tuple of int | Patch sizes in each dimension. | required |
target | Optional[ndarray] | Target array, by default None. | None |
seed | int or None | Random seed. | None |
Yields:
Type | Description |
---|---|
Generator[ndarray, None, None] | Generator of patches. |
Source code in src/careamics/dataset/patching/random_patching.py
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extract_patches_random_from_chunks(arr, patch_size, chunk_size, chunk_limit=None, seed=None)
#
Generate patches from an array in a random manner.
The method calculates how many patches the image can be divided into and then extracts an equal number of random patches.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
arr | ndarray | Input image array. | required |
patch_size | Union[list[int], tuple[int, ...]] | Patch sizes in each dimension. | required |
chunk_size | Union[list[int], tuple[int, ...]] | Chunk sizes to load from the. | required |
chunk_limit | Optional[int] | Number of chunks to load, by default None. | None |
seed | Optional[int] | Random seed, by default None. | None |
Yields:
Type | Description |
---|---|
Generator[ndarray, None, None] | Generator of patches. |
Source code in src/careamics/dataset/patching/random_patching.py
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