Vector-first desktop mask annotation studio for batch image workflows.
Project description
maskstudio
MaskStudio is a vector-first desktop mask annotation studio for batch image workflows. It opens a folder or a single image, keeps editable annotations as Shapely geometry in image coordinates, and saves deterministic grayscale PNG masks beside the source images.
Supported operations
- Open a folder or single image (non-interactive path resolution)
- Paint, polygon, rectangle, and hole tools with edge-aware refinement
- Contour edit mode with vertex and edge handles
- Overview plus detail split view with adjustable ROI
- Undo/redo history per document
- Deterministic
<stem>_mask.pngoutput (modeL, black mask on white)
Requirements
- Python 3.12 or newer
- Dependencies installed automatically by
pip:numpy,opencv-python,Pillow,pydantic,PySide6,shapely - On Linux, a working X11 or Wayland session is required for the Qt runtime
Install
pip install maskstudio
Checking the version
import maskstudio
print(maskstudio.__version__)
Configuration
MaskStudio does not require credentials or environment variables. Inputs are passed either to the Python API or to the installed CLI launcher.
import maskstudio
result = maskstudio.annotate_masks()
result = maskstudio.annotate_masks("/path/to/folder")
result = maskstudio.annotate_masks("/path/to/image.png")
maskstudio
maskstudio /path/to/folder
maskstudio /path/to/image.png
See docs/configuration.md for the detailed input resolution flow and supported raster formats.
Quickstart
Annotate every image in a folder
import maskstudio
result = maskstudio.annotate_masks("/path/to/folder")
for saved_mask in result:
print(saved_mask)
Annotate a single image
import maskstudio
result = maskstudio.annotate_masks("/path/to/image.png")
print(f"Saved {len(result)} mask(s)")
Open the graphical folder picker
import maskstudio
result = maskstudio.annotate_masks()
if not result.saved_paths:
print("Session finished with no saved masks")
Use the installed CLI launcher
maskstudio /path/to/folder
Public API
| Module | Symbol | Description |
|---|---|---|
maskstudio |
annotate_masks(path=None) |
Launch the GUI and return an AnnotationResult. |
maskstudio |
__version__ |
Installed package version string. |
maskstudio.models |
AnnotationRequest |
Frozen Pydantic request with optional path. |
maskstudio.models |
AnnotationResult |
Frozen Pydantic result with saved_paths. |
maskstudio.exceptions |
MaskStudioError |
Base class for every typed exception. |
maskstudio.exceptions |
NoImagesFoundError |
Raised when a folder has no supported images. |
maskstudio.exceptions |
UnsupportedImageError |
Raised when a file is not a supported image. |
Supported input formats
The discovery layer accepts these raster formats case-insensitively:
.png, .jpg, .jpeg, .bmp, .tif, .tiff, .webp. Files whose name
already matches *_mask.png are skipped during folder scanning.
Saved output rules
- Output path is always
<original_stem>_mask.pngin the source directory. - Saved masks are always PNG, mode
L. - Background pixels are white (
255); annotated pixels are black (0). - Saved files never contain alpha, outlines, or display-only styling.
Error handling
import maskstudio
from maskstudio.exceptions import MaskStudioError, NoImagesFoundError
try:
result = maskstudio.annotate_masks("/path/to/folder")
except NoImagesFoundError as error:
print(f"No images in {error.path}")
except MaskStudioError as error:
print(f"MaskStudio failed: {error}")
See docs/errors.md for the full exception hierarchy.
Additional docs
- docs/configuration.md — Input resolution, picker behavior, and supported formats.
- docs/errors.md — Exception hierarchy and recovery patterns.
Contributing
See CONTRIBUTING.md for the development setup, test commands, and the full build and publish workflow.
Project details
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