Samuel Prevost b87f933b9e feat(solver): iterative homography solver with circle datums
Replace the two-pass closed-form deskew (getPerspectiveTransform +
per-axis scale corrections) with an alternating-minimisation loop around
cv.findHomography (internal Levenberg–Marquardt). Each outer iteration
recomputes per-datum point correspondences from the current H and the
datum's shape constraint, then findHomography refines H. Confidence
drives per-correspondence replication; primary gets a 3× gauge boost.

- Add EllipseDatum type (center + two conjugate semi-axis endpoints +
  known diameter) with 3-handle Konva rendering and coin presets.
- Generalise primary selection to any datum type. Priority rect >
  ellipse > line; within type, confidence then image size. Warm-start
  anchors: rect = 4 axis-aligned corners; ellipse = 4 conjugate-axis
  samples on a world circle; line = 2 endpoints + 2 synthetic
  perpendicular points (isotropic image-scale assumption).
- Direction-agnostic shape residuals: Procrustes-fit ideal (w × h) rect
  to projected corners; midpoint-preserving line rescale; radial-snap
  ellipse samples to a circle at projectPoint(H, center).
- Drop the "at least one rectangle" requirement. Any datum combination
  works; diagnostics widgets auto-pick a scale reference across types.
- Diagnostics: replace X/Y axis-correction cards with RMS residual +
  iteration count; per-datum table shows a residual breakdown column
  (edge %, perp Δ°, iso/skew/dia).
- Detect period-2 oscillation in the outer loop and warn to console.
- Relative convergence threshold so the affine and perspective entries
  of H are weighted comparably.
- Guard diagnostic diameter via geometric-mean-radius for non-circular
  conics; guard collinear-axes ellipses; fix Mat leak in
  solveHomography on the exception path.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 17:42:40 +02:00
2026-04-14 23:25:59 +02:00
2026-04-16 17:59:01 +02:00

Skwik

Client-side image deskewing tool. Upload a photo taken at an angle, place reference measurements on known objects, and get a perspective-corrected output with real-world scale.

Everything runs in the browser -- no server, no uploads.

How it works

  1. Upload a JPG or HEIC image (HEIC is converted automatically)
  2. Review EXIF data -- camera, lens, focal length
  3. Place datums on the image -- rectangles or lines with known real-world dimensions
  4. Run correction -- OpenCV.js computes a perspective transform and outputs a corrected image

The algorithm

The highest-confidence rectangle datum defines the initial perspective correction via getPerspectiveTransform. All other datums (rectangles and lines) are projected through that transform and measured. Per-axis weighted scale corrections are computed from the discrepancies, folded back into the destination rectangle, and a single clean warpPerspective produces the output. One matrix, one warp, no post-hoc distortion.

Datum confidence scores (1--5) act as weights in the correction.

Quick start

pnpm install
pnpm dev

Open http://localhost:5173.

Build

pnpm build      # type-check + production build
pnpm preview    # serve the build locally

Lint & format

pnpm lint       # eslint (strict TS + Vue)
pnpm lint:fix   # auto-fix
pnpm format     # prettier
pnpm type-check # vue-tsc

Stack

Layer Tech
Framework Vue 3 + TypeScript (strict)
Build Vite
Components shadcn-vue + Tailwind CSS v4
Canvas Konva.js + vue-konva
CV OpenCV.js 4.12 (WASM)
HEIC heic-to
EXIF exifr
State Pinia

Datum presets

Rectangles: A3, A4, A5, A6, 15x10 cm. Custom dimensions supported. Lines: any length.

How Skwik compares

There are plenty of tools that do part of what Skwik does, but none that combine everything:

Tool Client-side Multi-datum weighting Real-world mm scale Measurement tools Scale bar export
Skwik
MYOG Perspective Correction
PerspectiveFix
PicFix.pro
ImageOnline Perspective
Toolschimp Image Measure
Aspose Deskew

Most deskew tools just pull 4 corners to a rectangle without any real-world dimensions -- the output has no scale. Most measurement tools calibrate against a single reference and don't correct perspective. Skwik uses multiple weighted datums (rectangles + lines, each with a confidence score) to solve both problems in one pass, and lets you measure distances or export with a scale bar on the corrected image.

License

MIT

Description
Client-side image deskewing tool. Upload a photo taken at an angle, place reference measurements on known objects, and get a perspective-corrected output with real-world scale.
https://serv.e1n.sh/skiwk
Readme GPL-3.0 1.2 MiB
Languages
Vue 74.1%
TypeScript 24.7%
CSS 1.1%