Commit Graph
6 Commits
Author SHA1 Message Date
Siddharth Kumar Sah 85b1cfc10a chore: rename Stirling-Image to ashim across entire codebase
Complete rebrand from Stirling-Image to ashim following the project
move to https://github.com/ashim-hq/ashim.

Changes across 117 files:
- Package scope: @stirling-image/* → @ashim/*
- GitHub URLs: stirling-image/stirling-image → ashim-hq/ashim
- Docker Hub: stirlingimage/stirling-image → ashimhq/ashim
- GitHub Pages: stirling-image.github.io → ashim-hq.github.io
- All branding text: "Stirling Image" → "ashim"
- Docker service/volumes/user: stirling → ashim
- Database: stirling.db → ashim.db
- localStorage keys: stirling-token → ashim-token
- Environment variables: STIRLING_GPU → ASHIM_GPU
- Python cache dirs: .cache/stirling-image → .cache/ashim
- SVG filter IDs, test prefixes, and all other references
2026-04-14 20:55:42 +08:00
Siddharth Kumar Sah 92d4d2d9c6 feat(smart-crop): overhaul with face detection, social presets, and 3 modes
Replace the confusing 2-mode smart crop with a clear 3-mode system:
- Subject Focus: Sharp attention/entropy saliency crop with social media presets
- Face Focus: MediaPipe face detection with headshot framing presets
- Auto Trim: Border removal with optional pad-to-square

Adds detectFaces() to AI package, face preset constants, backward
compatibility for old mode names, and comprehensive integration tests.
2026-04-13 00:47:53 +08:00
5d8556254f fix: batch file ordering and format preservation for image tools (#20)
* feat: add resolveOutputFormat utility for input format preservation

* fix: preserve file order in batch processing with X-File-Results header

Collect all results before streaming the ZIP to guarantee upload order.
Replace X-File-Order with index-based X-File-Results header that maps
each upload index to its processed filename, handling failures and
duplicate filenames correctly.

Closes #13

* fix: use X-File-Results for index-based batch file matching

The frontend now matches processed files to entries by upload index
instead of fragile name/position matching.

* feat: preserve input format in smart-crop with quality control

Smart crop now outputs in the same format as the input (JPG in, JPG out)
instead of always converting to PNG. Adds an optional quality setting
(default 95) for lossy formats.

Closes #14

* feat: add output quality slider to smart crop settings UI

* feat: preserve input format in crop tool

* feat: preserve input format in color adjustment tools

Applies to brightness-contrast, saturation, color-channels, and
color-effects tool routes.

* refactor: avoid double encode in smart-crop content mode

For the simple trim path (no pad-to-square), chain .toFormat() on the
trim pipeline directly instead of creating a second Sharp instance.
This eliminates a redundant intermediate encode that degraded quality
for lossy formats. Also use trimmed.info dimensions instead of a
separate metadata() call for the pad-to-square path.

---------

Co-authored-by: Siddharth Kumar Sah <siddharth123sk@gmail.com>
2026-04-06 12:53:53 +08:00
Siddharth Kumar Sah 93ad7cdfc1 feat: add "Crop to Content" mode to smart crop tool
Adds a new mode that trims uniform-color borders around the subject,
like GIMP's "Crop to Content." Includes configurable tolerance threshold
and optional pad-to-square with target size for e-commerce workflows.

The original attention-based crop is preserved as "Focus Crop" mode.

Closes #7
2026-04-04 19:49:49 +08:00
Siddharth Kumar Sah 585d66f0c9 refactor: rename Tool.alpha to Tool.experimental 2026-03-26 01:10:51 +08:00
Siddharth Kumar Sah 5524939b6f feat: add Phase 4 AI tools with Python bridge and 6 new tools
Add Python bridge (packages/ai/src/bridge.ts) that calls Python scripts
via child_process with venv-first fallback to system python3. Implements
6 AI-powered tools:

- Remove Background: rembg-based with U2-Net/IS-Net models
- Image Upscaling: Real-ESRGAN with Lanczos fallback
- OCR/Text Extraction: Tesseract + PaddleOCR engines
- Face/PII Blur: MediaPipe face detection with configurable blur
- Object Eraser: LaMa inpainting with mask-based input
- Smart Crop: Sharp attention-based entropy cropping (no Python needed)

Each tool includes: Python script, TypeScript wrapper, API route,
and React settings component. All Python scripts handle ImportError
gracefully with clear installation messages.
2026-03-22 04:31:49 +08:00