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Compare image files in different directories

Project description

ImDiff: Compare Directories of Images

ImDiff compares either two image files or two directory trees that contain image files with matching relative paths. It is intended for workflows where generated images need visual review as part of test development, golden-file updates, or artifact triage.

The project exposes the same comparison engine through two interfaces:

  • python -m imdiff LEFT RIGHT opens a Tk-based review window when the GUI stack is available, or warns and falls back to summary mode when it is not.
  • python -m imdiff --summary LEFT RIGHT prints a non-interactive summary and exits with a non-zero status when differences are found without importing any GUI-only modules.

When both arguments are directories, ImDiff walks the union of both directory trees, pairs files by relative path, and classifies each entry as:

  • identical: byte-identical files or text files with no unified diff output
  • similar: images whose normalized RMSE is below the project threshold
  • different: images or text files whose contents differ materially
  • different-size: image pairs with different dimensions
  • missing or new: a file exists on only one side
  • failed-to-load: a file exists but Pillow could not decode it as an image

The interactive directory view combines a file tree, image panes, and file operations so a reviewer can inspect left, right, and diff images, switch zoom policies, and copy or delete files directly from the comparison session.

This utility requires that the Tk Python packages be installed on the system. Hint for those running Ubuntu:

apt install python3-pil python3-pil.imagetk python3-tk

The application also depends on numpy and ttkbootstrap for image math and themed Tk widgets.

Usage

Compare two image files:

python -m imdiff path/to/expected.png path/to/actual.png

Compare two directories and print a CI-friendly summary:

python -m imdiff --summary tests/baseline-images tests/generated-images

By default the normalized RMSE is measured over the whole image, which tolerates the many tiny GPU/driver rendering variations that show up across large images. To instead catch small but concentrated differences, select a sliding-window size with --window; the reported score becomes the worst-scoring window of that size:

python -m imdiff --window medium tests/baseline-images tests/generated-images

The available window sizes are global (the default, whole image), small (32x32), medium (64x64), large (128x128), and xlarge (256x256). You can also pass an explicit pixel size as WIDTH,HEIGHT, for example --window 1024,1024, when none of the presets fit. A window larger than the image is clamped to the image size. The flag applies to both the interactive windows and --summary mode.

When the GUI cannot be imported or Tk cannot start, the default interactive command warns on stderr and continues in the same summary mode used by --summary. This makes headless CI environments safe without changing the CLI command line.

Programmatic comparison

The same comparison core is available to other Python code, such as test harnesses that compare a captured screenshot against a stored reference:

from imdiff import ImageComparator, RmseWindow

comparator = ImageComparator(reference_png, actual_png, RmseWindow.Medium)

status = comparator.diff_info  # 'identical', 'missing', 'different-size', ...
if isinstance(status, float):  # a same-size pair: status is the normalized RMSE
    assert status <= 0.03, f'normalized RMSE {status:g} exceeded threshold'

comparator.diff                # grayscale difference image (PIL.Image)
comparator.high_contrast_diff  # histogram-stretched difference image

diff_info returns a symbolic status string for presence, size, and load problems, or the normalized RMSE (range [0, 1]) when both images decode at the same size. The metric honors the window passed to the constructor: Global scores the whole image, while any other RmseWindow reports the largest score found across every window position of that size. The window may also be an explicit (width, height) tuple instead of a preset. A window larger than the image is clamped to the image size. Decoded images and derived results are cached on first use and recomputed after copy_left_to_right, copy_right_to_left, delete_files, or an explicit clear.

The normalized_rmse(left_data, right_data, window) function is also exported for callers that already hold equally sized RGBA arrays.

Repository Layout

  • imdiff/image_comparator.py is the comparison core: the RmseWindow sizes, the normalized_rmse metric, and the lazy ImageComparator model shared by the CLI and GUI.
  • imdiff/list_files.py pairs files across directory trees.
  • imdiff/cli/ contains the command-line entry points and summary printing.
  • imdiff/gui/ contains the Tk windows, canvases, menus, and directory browser.
  • developing/architecture.md describes the component relationships in more detail.

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