From 01776511b66bfd87b4f8ef57d3fefc1d99e1e8f6 Mon Sep 17 00:00:00 2001 From: shuishen <1109946754@qq.com> Date: Wed, 19 Aug 2026 16:46:52 +0800 Subject: [PATCH] feat:变化检测相关优化调整 --- PROJECT_CONTEXT.md | 6 +++--- 1 files changed, 3 insertions(+), 3 deletions(-) diff --git a/PROJECT_CONTEXT.md b/PROJECT_CONTEXT.md index b2701d8..e9066ba 100644 --- a/PROJECT_CONTEXT.md +++ b/PROJECT_CONTEXT.md @@ -1,6 +1,6 @@ # GeoAI Workbench Current Context -Last updated: 2026-08-18 +Last updated: 2026-08-19 This file is the current project snapshot for new Codex tasks. Keep it concise and replace stale facts instead of appending a conversation diary. @@ -112,7 +112,7 @@ - Start command: `py -3.12 .\scripts\serve_workbench_console.py` - URL: `http://127.0.0.1:6173` (built console); Vite development is `http://127.0.0.1:6174/apps/workbench-console/`. Only `6xxx` ports are accepted. - Scope: independent local experiment workbench for this repository. It has no code, account, or product API link to the two drone-product repositories. The map client directly requests public ArcGIS tiles and, only when configured, TianDiTu tiles. -- Current workflow: `00-change-detection`, `01-object-detection`, `02-semantic-mapping`, `04-spatial-measurement`, and `15-trajectory-analysis` support new local runs, searchable case libraries, and visual result workspaces. Change detection shows two-date imagery, a ChangeStar raster overlay, pixel-coordinate GeoJSON, per-feature probability stats and downloads. Spatial measurement shows raster/vector results, per-object metrics and downloads. Change detection now uploads large TIFFs as raw binary streams and copies bytes into a new run directory before invoking the fixed capability script; the original file is not rewritten. The server creates a new run ID for every submission, only accepts allowlisted input types and enabled tasks, and calls fixed capability scripts in fixed virtual environments. +- Current workflow: `00-change-detection`, `01-object-detection`, `02-semantic-mapping`, `04-spatial-measurement`, and `15-trajectory-analysis` support new local runs, searchable case libraries, and visual result workspaces. Change detection shows two-date imagery, a ChangeStar raster overlay, pixel-coordinate GeoJSON, per-feature probability stats and downloads. Its scan workspace shows historical scans and accepts new user-uploaded pairs with selectable threshold/minimum-area combinations, asynchronous CPU execution, per-combination overlays/statistics and GeoJSON, without treating scan inference as a formal model run. Spatial measurement shows raster/vector results, per-object metrics and downloads. Change detection now uploads large TIFFs as raw binary streams and copies bytes into a new run directory before invoking the fixed capability script; the original file is not rewritten. The server creates a new run ID for every submission, only accepts allowlisted input types and enabled tasks, and calls fixed capability scripts in fixed virtual environments. - File exposure: the static handler permits only console assets, `shared/outputs`, and source images required for result comparison. Upload APIs write new raw and processed run directories but do not expose the rest of the repository. - Styling: `apps/workbench-console/src/styles.css` is organized into design variables, application shell, shared workbench components, capability workspaces, maps, and responsive rules. New capability pages must use a scoped workspace class and shared spacing variables instead of global override patches. @@ -138,7 +138,7 @@ - Measured result: real pair at 1024 px / tile 512 / overlap 64 took 41.556 seconds on CPU, found 755 inliers from 769 ORB matches, 98.52% valid area, 674 changed pixels (0.0857%) and one polygon. Self-comparison at 512 px took 25.902 seconds and found zero changed pixels and zero polygons. On the urban parking sample, increasing from 1024 to 2048 produced 16 polygons instead of one and covered more vehicle/parking changes, but took about 84 seconds CPU and still had misses/false positives. - GeoTIFF grid-alignment validation: uploaded `1.tif` (6217 x 5525) and `2.tif` (6218 x 5497) share `EPSG:32650` but have slightly different origins and pixel sizes. The second image was reprojected bilinearly to the first grid in the processing copy, then completed at 1024 px in 80.882 seconds with georeferenced outputs. SHA256 checks confirmed the source staging files and their raw run copies are byte-identical. - Honest limitation: ChangeStar weights are trained for Changen2/S1 building change and the close-up rock/concrete scene is out of distribution. No manual truth exists, so no precision, recall, IoU, change type, or engineering alert is claimed. Pixel GeoJSON has no CRS; the downloaded model is CC BY-NC-SA 4.0 and not cleared for commercial use. -- Console: `GET/POST /api/change-detection/runs` on local `6xxx` ports. Real uploads at `6176` verified thresholds and selectable processing resolution; auto/image and GeoTIFF mode handling is covered by unit tests. Separate raw before/after directories and a separate processed directory are used; unsafe basename sanitization plus invalid/oversized request rejection were verified. +- Console: `GET/POST /api/change-detection/runs`, `GET/POST /api/change-detection/scans`, `GET /api/change-detection/scan-jobs/<job-id>`, `POST /api/change-detection/scans/<scan-id>/promote` and binary upload endpoints on local `6xxx` ports. Real uploads at `6176` verified thresholds and selectable processing resolution; scan submissions are validated for at most 24 combinations and execute asynchronously through fixed capability scripts. Scan inference outputs remain in the scan workspace until a user promotes one selected combination; promotion creates a new formal run directory with raw-input references, makes the case discoverable, and uses rule rectangles as the primary case vector while retaining original polygons and masks. GeoTIFF candidates include source-CRS and EPSG:4326 vectors; ordinary images remain in px coordinates. Minimum connected area is a processed-pixel filter for both modes; an empty console scan selection defaults to `256 px`. Binary upload filenames are percent-encoded in the browser and decoded/sanitized by the server, so Chinese filenames no longer fail Request header validation. The historical candidate `0.50/256` was promoted and appeared in the case library with 42 WGS84 rectangles. Auto/image and GeoTIFF mode handling is covered by unit tests. Separate raw before/after directories and a separate processed directory are used; unsafe basename sanitization plus invalid/oversized request rejection were verified. - Next decision: obtain georeferenced same-GSD orthophotos and manually labelled change masks for the intended business class, then compare registration error, false positives, misses and IoU before any batch or product use. - Script: `capabilities/02-semantic-mapping/run_semantic_segmentation.py`. -- Gitblit v1.9.3