diff --git a/.cargo/config.toml b/.cargo/config.toml
new file mode 100644
index 0000000000..9e6d03be69
--- /dev/null
+++ b/.cargo/config.toml
@@ -0,0 +1,5 @@
+[target.aarch64-apple-darwin]
+rustflags = [
+ "-C", "link-arg=-undefined",
+ "-C", "link-arg=dynamic_lookup",
+]
diff --git a/.github/workflows/rust.yml b/.github/workflows/rust.yml
new file mode 100644
index 0000000000..7ced47995b
--- /dev/null
+++ b/.github/workflows/rust.yml
@@ -0,0 +1,52 @@
+name: Rust
+on:
+ push:
+ branches: [ develop, main, master ]
+ pull_request:
+ branches: [ develop, main, master ]
+jobs:
+ rust:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Set up Python
+ uses: actions/setup-python@v7
+ with:
+ python-version: "3.12"
+ - name: Install dependencies
+ run: |
+ sudo apt update
+ sudo apt-get install -y libopenjp2-7 libopenjp2-tools
+ python -m pip install --upgrade pip
+ python -m pip install ruff==0.16.1 pytest pytest-cov pytest-runner
+ pip install uv
+ uv pip install --system torch torchvision --index-url https://download.pytorch.org/whl/cpu
+ uv pip install --system -e .
+ - name: Install Rust
+ uses: dtolnay/rust-toolchain@stable
+ with:
+ components: rustfmt, clippy
+ - name: Install cargo-llvm-cov
+ uses: taiki-e/install-action@cargo-llvm-cov
+ - name: Check formatting
+ run: cargo fmt --all -- --check
+ - name: Run Clippy
+ run: cargo clippy --all-targets --all-features -- -D warnings -A clippy::too_many_arguments
+ - name: Run Rust coverage
+ shell: bash
+ run: |
+ source <(cargo llvm-cov show-env --sh)
+ cargo llvm-cov clean --workspace
+ python -m pip install --force-reinstall --no-deps -e .
+ python -m pytest tests/rust -v
+ cargo test --all-features
+ cargo llvm-cov report --lcov --output-path lcov.info
+ - name: Upload Rust coverage to Codecov
+ uses: codecov/codecov-action@v4
+ env:
+ CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+ with:
+ files: lcov.info
+ flags: rust
+ fail_ci_if_error: false
diff --git a/.readthedocs.yml b/.readthedocs.yml
index 0667574433..c13e447924 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -10,6 +10,7 @@ build:
os: ubuntu-24.04
tools:
python: "3.12"
+ rust: "latest"
apt_packages:
- libopenjp2-7-dev
- libopenjp2-tools
diff --git a/Cargo.toml b/Cargo.toml
new file mode 100644
index 0000000000..eaf76dfa7d
--- /dev/null
+++ b/Cargo.toml
@@ -0,0 +1,12 @@
+[workspace]
+resolver = "2"
+members = [
+ "tiatoolbox/rust/utils/misc",
+]
+
+[workspace.package]
+version = "0.1.0"
+edition = "2024"
+
+[workspace.dependencies]
+pyo3 = "0.29.2"
diff --git a/benchmarks/comparing_misc_functions_in_rust_v_python.ipynb b/benchmarks/comparing_misc_functions_in_rust_v_python.ipynb
new file mode 100644
index 0000000000..89fd20ecdb
--- /dev/null
+++ b/benchmarks/comparing_misc_functions_in_rust_v_python.ipynb
@@ -0,0 +1,48129 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Benchmarking in Rust: Constract Enhancer\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This work focuses on converting code in tiatoolbox/utils/misc.py from Python to Rust with the aim of reducing the time it takes to run the code. Namely, this notebook benchmarks the contrast enhancer using a Rust implementation and compares performance with a Python implementation.\n",
+ "\n",
+ "Rust is a programming language that is proven to be faster than Python, especially for CPU bound operations and processing large amounts of data.\n",
+ "\n",
+ "It tests how long it runs in Python and in Rust using different sized inputs. Each input size has multiple tests and the average of all the tests is taken to minimise the impact of any outliers. The x axis shows the size of the input and the y axis shows the average time taken of each input of size x.\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "step1 = 100\n",
+ "step2 = 1000"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Contrast Enhancer with Rust\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "from skimage import exposure\n",
+ "\n",
+ "import tiatoolbox.rust.utils.misc as rmisc\n",
+ "\n",
+ "\n",
+ "def rust_contrast_enhancer(\n",
+ " img: np.ndarray, low_p: int = 2, high_p: int = 98\n",
+ ") -> np.ndarray:\n",
+ " \"\"\"Enhance contrast of the input image using intensity adjustment.\n",
+ "\n",
+ " This method uses both image low and high percentiles.\n",
+ "\n",
+ " Args:\n",
+ " img (:class:`numpy.ndarray`): input image used to obtain tissue mask.\n",
+ " Image should be uint8.\n",
+ " low_p (scalar): low percentile of image values to be saturated to 0.\n",
+ " high_p (scalar): high percentile of image values to be saturated to 255.\n",
+ " high_p should always be greater than low_p.\n",
+ "\n",
+ " Returns:\n",
+ " img (:class:`numpy.ndarray`):\n",
+ " Image (uint8) with contrast enhanced.\n",
+ "\n",
+ " Raises:\n",
+ " AssertionError: Internal errors due to invalid img type.\n",
+ "\n",
+ " \"\"\"\n",
+ " # check if image is not uint8\n",
+ " # check if image is not uint8\n",
+ " dimension_for_rust = 3\n",
+ "\n",
+ " if img.dtype != np.uint8:\n",
+ " msg = \"Image should be uint8.\"\n",
+ " raise AssertionError(msg)\n",
+ " if img.ndim == dimension_for_rust:\n",
+ " return rmisc.contrast_enhancer(img, low_p, high_p)\n",
+ " img_out = img.copy()\n",
+ " percentiles = np.array(np.percentile(img_out, (low_p, high_p)))\n",
+ " p_low, p_high = percentiles[0], percentiles[1]\n",
+ " if p_low >= p_high:\n",
+ " p_low, p_high = np.min(img_out), np.max(img_out)\n",
+ " if p_high > p_low:\n",
+ " img_out = exposure.rescale_intensity(\n",
+ " img_out,\n",
+ " in_range=(p_low, p_high),\n",
+ " out_range=(0.0, 255.0),\n",
+ " )\n",
+ " return img_out.astype(np.uint8)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Contrast Enhancer in Python\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def py_contrast_enhancer(\n",
+ " img: np.ndarray, low_p: int = 2, high_p: int = 98\n",
+ ") -> np.ndarray:\n",
+ " \"\"\"Enhance contrast of the input image using intensity adjustment.\n",
+ "\n",
+ " This method uses both image low and high percentiles.\n",
+ "\n",
+ " Args:\n",
+ " img (:class:`numpy.ndarray`): input image used to obtain tissue mask.\n",
+ " Image should be uint8.\n",
+ " low_p (scalar): low percentile of image values to be saturated to 0.\n",
+ " high_p (scalar): high percentile of image values to be saturated to 255.\n",
+ " high_p should always be greater than low_p.\n",
+ "\n",
+ " Returns:\n",
+ " img (:class:`numpy.ndarray`):\n",
+ " Image (uint8) with contrast enhanced.\n",
+ "\n",
+ " Raises:\n",
+ " AssertionError: Internal errors due to invalid img type.\n",
+ "\n",
+ " \"\"\"\n",
+ " # check if image is not uint8\n",
+ " if img.dtype != np.uint8:\n",
+ " msg = \"Image should be uint8.\"\n",
+ " raise AssertionError(msg)\n",
+ " img_out = img.copy()\n",
+ " percentiles = np.array(np.percentile(img_out, (low_p, high_p)))\n",
+ " p_low, p_high = percentiles[0], percentiles[1]\n",
+ " if p_low >= p_high:\n",
+ " p_low, p_high = np.min(img_out), np.max(img_out)\n",
+ " if p_high > p_low:\n",
+ " img_out = exposure.rescale_intensity(\n",
+ " img_out,\n",
+ " in_range=(p_low, p_high),\n",
+ " out_range=(0.0, 255.0),\n",
+ " )\n",
+ " return img_out.astype(np.uint8)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Comparison of speed it takes to run code in rust vs python\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import time\n",
+ "\n",
+ "sizeofarray = []\n",
+ "timings = []\n",
+ "i = 10\n",
+ "maxarraysize = 10000\n",
+ "while i <= maxarraysize:\n",
+ " python_times = np.empty(0)\n",
+ " rust_times = np.empty(0)\n",
+ " for _j in range(5):\n",
+ " rng = np.random.default_rng()\n",
+ " temp = rng.uniform(0, 255, size=(i, i, 3)).astype(np.uint8)\n",
+ " start_time = time.time()\n",
+ " python_result = py_contrast_enhancer(temp, 2, 96)\n",
+ " python_end_time = time.time() - start_time\n",
+ " python_times = np.append(python_times, python_end_time)\n",
+ " start_time = time.time()\n",
+ " rust_result = rust_contrast_enhancer(temp, 2, 96)\n",
+ " rust_end_time = time.time() - start_time\n",
+ " rust_times = np.append(rust_times, rust_end_time)\n",
+ " if not np.allclose(python_result, rust_result, atol=1):\n",
+ " print(\"Incorrect result\")\n",
+ " sizeofarray.append(i)\n",
+ " timings.append([np.average(python_times), np.average(rust_times)])\n",
+ " if i < step1:\n",
+ " i += 10\n",
+ " elif i < step2:\n",
+ " i += 100\n",
+ " else:\n",
+ " i += 1000"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "plt.plot(sizeofarray, timings)\n",
+ "plt.xlabel(\"Size of array\")\n",
+ "plt.ylabel(\"Time(s)\")\n",
+ "plt.legend([\"Python\", \"Rust\"])\n",
+ "plt.show()"
+ ]
+ }
+ ],
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+ "colab": {
+ "provenance": []
+ },
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+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "2.0.0",
+ "_model_name": "HTMLStyleModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "2.0.0",
+ "_view_name": "StyleView",
+ "background": null,
+ "description_width": "",
+ "font_size": null,
+ "text_color": null
+ }
+ }
+ },
+ "version_major": 2,
+ "version_minor": 0
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/installation.rst b/docs/installation.rst
index 3b7828ad3d..031ce0d1f6 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -8,7 +8,7 @@ Installation
Prerequisites
=============
-The prerequisites for TIAToolbox installation are OpenSlide binaries and OpenJPEG version 2.3.0 or above. Please follow the instructions below to install the prerequisite software according to your platform.
+The prerequisites for TIAToolbox installation are OpenSlide binaries, OpenJPEG version 2.3.0 or above, and the `Rust `_ compiler. Please follow the instructions below to install the prerequisite software according to your platform.
Linux (Ubuntu)
--------------
@@ -18,6 +18,7 @@ On Linux, the prerequisite software can be installed using the following command
.. code-block:: console
$ apt-get -y install libopenjp2-7-dev libopenjp2-tools sqlite3 libsqlite3-0
+ $ curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
The same command is used when working on the Colab or Kaggle platforms. When working on Google Colab, the following packages should be removed **before** installing TIAToolbox, as they conflict and may produce an error message:
@@ -34,6 +35,11 @@ On Windows, ``OpenJPEG`` and ``SQLite`` can be installed using the following ``c
C:\> conda install -c conda-forge openjpeg sqlite
+Rust compiler
+^^^^^^^^^^^^^
+
+Follow the instructions on the `Rust install `_ page to download and install the Rust compiler.
+
macOS
-----
@@ -56,6 +62,11 @@ MacPorts
$ port install openjpeg sqlite
+Rust compiler
+^^^^^^^^^^^^^
+
+ $ curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
+
Installing Stable Release
=========================
diff --git a/pyproject.toml b/pyproject.toml
index a3ec388a6f..59469e7465 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -133,7 +133,10 @@ torchvision = [
omit = ['tests/*', 'tiatoolbox/__main__.py', '*/utils/env_detection.py', 'tiatoolbox/typing.py']
[build-system]
- requires = ["setuptools"]
+ requires = [
+ "setuptools",
+ "setuptools-rust",
+ ]
build-backend = "setuptools.build_meta"
[tool.distutils.bdist_wheel]
@@ -298,3 +301,10 @@ ignore_missing_imports = true
# Default local target: minimum supported Python (requires-python lower bound).
# CI overrides this per job with --python-version for 3.12-3.14.
python_version = "3.12"
+
+[[tool.setuptools-rust.ext-modules]]
+target = "tiatoolbox.rust.utils.misc"
+path = "tiatoolbox/rust/utils/misc/Cargo.toml"
+binding = "PyO3"
+#Uncomment below for release
+#debug = false
diff --git a/tests/rust/__init__.py b/tests/rust/__init__.py
new file mode 100644
index 0000000000..a692396c18
--- /dev/null
+++ b/tests/rust/__init__.py
@@ -0,0 +1 @@
+"""Unit test package for rust code in tiatoolbox."""
diff --git a/tests/rust/test_misc.py b/tests/rust/test_misc.py
new file mode 100644
index 0000000000..a77da1a9c2
--- /dev/null
+++ b/tests/rust/test_misc.py
@@ -0,0 +1,63 @@
+"""Test for rust functionality."""
+
+import numpy as np
+
+from tiatoolbox import utils
+
+
+def test_contrast_enhancer() -> None:
+ """Test contrast enhancement functionality."""
+ input_array = np.array(
+ [
+ [
+ [37, 244, 193, 106, 235, 128, 71, 140, 47],
+ [103, 184, 72, 20, 188, 238, 126, 7, 0],
+ [137, 195, 204, 32, 203, 170, 101, 77, 133],
+ ]
+ ],
+ dtype=np.uint8,
+ )
+
+ # expected output of the contrast_enhancer
+ result_array = np.array(
+ [
+ [
+ [35, 255, 203, 110, 248, 133, 72, 146, 46],
+ [106, 193, 73, 17, 198, 251, 131, 3, 0],
+ [143, 205, 215, 30, 214, 178, 104, 78, 139],
+ ]
+ ],
+ dtype=np.uint8,
+ )
+
+ # Calculating the contrast enhanced version of input_array
+ output_array = utils.misc.contrast_enhancer(input_array, low_p=2, high_p=98)
+ # The out_put array should be equal to expected result_array
+ assert np.all(result_array == output_array)
+ input_array = np.array(
+ [
+ [
+ [0],
+ [0],
+ [0],
+ ]
+ ],
+ dtype=np.uint8,
+ )
+
+ # expected output of the contrast_enhancer
+ result_array = np.array(
+ [
+ [
+ [0],
+ [0],
+ [0],
+ ]
+ ],
+ dtype=np.uint8,
+ )
+
+ # Calculating the contrast enhanced version of input_array
+ output_array = utils.misc.contrast_enhancer(input_array, low_p=2, high_p=98)
+ # The out_put array should be equal to expected result_array
+ assert np.all(result_array == output_array)
diff --git a/tests/test_utils.py b/tests/test_utils.py
index f27115de5e..efa71b4ed7 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -915,6 +915,41 @@ def test_contrast_enhancer() -> None:
output_array = utils.misc.contrast_enhancer(input_array, low_p=2, high_p=98)
# The out_put array should be equal to expected result_array
assert np.all(result_array == output_array)
+ # Calculating the contrast enhanced version of input_array
+ input_array = np.array([0, 255], dtype=np.uint8)
+ result_array = np.array([0, 255], dtype=np.uint8)
+ output_array = utils.misc.contrast_enhancer(input_array, low_p=98, high_p=2)
+ # The out_put array should be equal to expected result_array
+ assert np.all(result_array == output_array)
+ input_array = np.array([0, 0], dtype=np.uint8)
+ result_array = np.array([0, 0], dtype=np.uint8)
+ output_array = utils.misc.contrast_enhancer(input_array, low_p=98, high_p=2)
+ # The out_put array should be equal to expected result_array
+ assert np.all(result_array == output_array)
+
+ input_array = np.array(
+ [
+ [37, 244, 193, 106, 235, 128, 71, 140, 47],
+ [103, 184, 72, 20, 188, 238, 126, 7, 0],
+ [137, 195, 204, 32, 203, 170, 101, 77, 133],
+ ],
+ dtype=np.uint8,
+ )
+
+ # expected output of the contrast_enhancer
+ result_array = np.array(
+ [
+ [35, 255, 203, 110, 248, 133, 72, 146, 46],
+ [106, 193, 73, 17, 198, 251, 131, 3, 0],
+ [143, 205, 215, 30, 214, 178, 104, 78, 139],
+ ],
+ dtype=np.uint8,
+ )
+
+ # Calculating the contrast enhanced version of input_array
+ output_array = utils.misc.contrast_enhancer(input_array, low_p=2, high_p=98)
+ # The out_put array should be equal to expected result_array
+ assert np.all(result_array == output_array)
def test_load_stain_matrix(track_tmp_path: Path) -> None:
diff --git a/tiatoolbox/rust/utils/misc/Cargo.toml b/tiatoolbox/rust/utils/misc/Cargo.toml
new file mode 100644
index 0000000000..da570b3cf1
--- /dev/null
+++ b/tiatoolbox/rust/utils/misc/Cargo.toml
@@ -0,0 +1,13 @@
+[package]
+name = "misc"
+version.workspace = true
+edition.workspace = true
+
+[lib]
+name = "misc"
+crate-type = ["cdylib", "rlib"]
+
+[dependencies]
+ndarray = "0.17.2"
+numpy = "0.29.0"
+pyo3 = { workspace = true, features = ["extension-module"] }
diff --git a/tiatoolbox/rust/utils/misc/__init__.pyi b/tiatoolbox/rust/utils/misc/__init__.pyi
new file mode 100644
index 0000000000..7f37b6f44e
--- /dev/null
+++ b/tiatoolbox/rust/utils/misc/__init__.pyi
@@ -0,0 +1,10 @@
+# tiatoolbox/rust/utils/misc.pyi
+
+import numpy as np
+from numpy.typing import NDArray
+
+def contrast_enhancer(
+ img: NDArray[np.uint8],
+ low_p: int,
+ high_p: int,
+) -> NDArray[np.uint8]: ...
diff --git a/tiatoolbox/rust/utils/misc/src/lib.rs b/tiatoolbox/rust/utils/misc/src/lib.rs
new file mode 100644
index 0000000000..a38668b9f1
--- /dev/null
+++ b/tiatoolbox/rust/utils/misc/src/lib.rs
@@ -0,0 +1,81 @@
+use ndarray::{Array1, Array3};
+use numpy::{IntoPyArray, PyArray3, PyReadonlyArray3};
+use pyo3::prelude::*;
+
+fn rescale_intensity(x: f32, in_range_low: f32, in_range_high: f32, range: f32) -> u8 {
+ //asssumes out_min = 0 and out_max = 255
+ if x <= in_range_low {
+ 0
+ } else if x >= in_range_high {
+ 255
+ } else {
+ (255.0 * ((x - in_range_low) / range)) as u8
+ }
+}
+
+fn rust_contrast_enhancer(img: Array3, low_p: u8, high_p: u8) -> Array3 {
+ /*Get tissue mask based on the luminosity of the input image.
+
+ Args:
+ img: Array
+ Input image used to obtain tissue mask.
+ threshold (float):
+ Luminosity threshold used to determine tissue area.
+
+ Returns:
+ tissue_mask
+ Binary tissue mask.
+
+ */
+ let img_out = img.to_owned();
+ let len = img.len();
+ let mut flat_img_out: Array1 = img_out.into_shape_with_order(len).unwrap();
+
+ if let Some(slice) = flat_img_out.as_slice_mut() {
+ slice.sort_unstable();
+ }
+
+ let lenf32: f32 = len as f32;
+
+ let p_low_index: f32 = (lenf32 - 1.0) * low_p as f32 / 100.0;
+ let p_low_index_difference = p_low_index - p_low_index.floor();
+ let mut p_low = (1.0 - p_low_index_difference)
+ * flat_img_out[p_low_index.floor() as usize] as f32
+ + p_low_index_difference * flat_img_out[p_low_index.ceil() as usize] as f32;
+
+ let p_high_index: f32 = (lenf32 - 1.0) * high_p as f32 / 100.0;
+ let p_high_index_difference = p_high_index - p_high_index.floor();
+ let mut p_high = (1.0 - p_high_index_difference)
+ * flat_img_out[p_high_index.floor() as usize] as f32
+ + p_high_index_difference * flat_img_out[p_high_index.ceil() as usize] as f32;
+
+ if p_low >= p_high {
+ p_low = flat_img_out[0].into();
+ p_high = flat_img_out[len - 1].into();
+ }
+
+ if p_high > p_low {
+ let range = p_high - p_low;
+ return img.mapv(|x| rescale_intensity(x.into(), p_low, p_high, range));
+ }
+
+ img
+}
+
+#[pyfunction]
+fn contrast_enhancer<'py>(
+ py: Python<'py>,
+ img: PyReadonlyArray3<'py, u8>,
+ low_p: u8,
+ high_p: u8,
+) -> Bound<'py, PyArray3> {
+ let data = img.as_array().to_owned();
+ rust_contrast_enhancer(data, low_p, high_p).into_pyarray(py)
+}
+
+/// Contrast enhancer implemented in Rust.
+#[pymodule]
+fn misc(m: &Bound<'_, PyModule>) -> PyResult<()> {
+ m.add_function(wrap_pyfunction!(contrast_enhancer, m)?)?;
+ Ok(())
+}
diff --git a/tiatoolbox/utils/misc.py b/tiatoolbox/utils/misc.py
index 6c8002ed59..b84061355f 100644
--- a/tiatoolbox/utils/misc.py
+++ b/tiatoolbox/utils/misc.py
@@ -31,6 +31,7 @@
from tqdm.auto import tqdm, trange
from tqdm.dask import TqdmCallback
+import tiatoolbox.rust.utils.misc as rmisc
from tiatoolbox import logger
from tiatoolbox.annotation.storage import Annotation, AnnotationStore, SQLiteStore
from tiatoolbox.utils.exceptions import FileNotSupportedError
@@ -430,6 +431,9 @@ def contrast_enhancer(img: np.ndarray, low_p: int = 2, high_p: int = 98) -> np.n
if img.dtype != np.uint8:
msg = "Image should be uint8."
raise AssertionError(msg)
+ dimension_for_rust = 3
+ if img.ndim == dimension_for_rust:
+ return rmisc.contrast_enhancer(img, low_p, high_p)
img_out = img.copy()
percentiles = np.array(np.percentile(img_out, (low_p, high_p)))
p_low, p_high = percentiles[0], percentiles[1]