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feat: HSAP platform v2 — modular navigation, quality review, audit log, world model simulation

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Major changes:
- New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind
- 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理
- Data catalog with charts (DMS/ADAS/Lane 3-tab view)
- Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance
- Audit enhancements: batch operations, rejection categories, Feishu notifications
- Operation audit log (操作日志)
- World model simulation studio (仿真工坊)
- Dataset version management with snapshots and diff
- ADAS 7-class dataset integration (138K images organized + compressed)
- User management with Feishu integration and pagination
- CRUD/search/filter on all pages, card layout redesign
- PIL-optimized image overlay rendering
- Auto-snapshot on build, in_review workflow stage
- Removed embedded algorithm code (now in workspace)
This commit is contained in:
Chengfang Lu
2026-06-03 11:40:21 +08:00
parent 7c43b44c57
commit e72bc061c5
5487 changed files with 979207 additions and 6197 deletions
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| Argument | Type | Default | Description |
| ----------- | ----------------- | --------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `format` | `str` | `'torchscript'` | Target format for the exported model, such as `'onnx'`, `'torchscript'`, `'engine'` (TensorRT), or others. Each format enables compatibility with different [deployment environments](https://docs.ultralytics.com/modes/export/). |
| `imgsz` | `int` or `tuple` | `640` | Desired image size for the model input. Can be an integer for square images (e.g., `640` for 640×640) or a tuple `(height, width)` for specific dimensions. |
| `keras` | `bool` | `False` | Enables export to Keras format for [TensorFlow](https://www.ultralytics.com/glossary/tensorflow) SavedModel, providing compatibility with TensorFlow serving and APIs. |
| `optimize` | `bool` | `False` | Applies optimization for mobile devices when exporting to TorchScript, potentially reducing model size and improving [inference](https://docs.ultralytics.com/modes/predict/) performance. Not compatible with NCNN format or CUDA devices. |
| `half` | `bool` | `False` | Enables FP16 (half-precision) quantization, reducing model size and potentially speeding up inference on supported hardware. Not compatible with INT8 quantization or CPU-only exports. Only available for certain formats, e.g. ONNX (see below). |
| `int8` | `bool` | `False` | Activates INT8 quantization, further compressing the model and speeding up inference with minimal [accuracy](https://www.ultralytics.com/glossary/accuracy) loss, primarily for [edge devices](https://www.ultralytics.com/blog/understanding-the-real-world-applications-of-edge-ai). When used with TensorRT, performs post-training quantization (PTQ). |
| `dynamic` | `bool` | `False` | Allows dynamic input sizes for ONNX, TensorRT, and OpenVINO exports, enhancing flexibility in handling varying image dimensions. Automatically set to `True` when using TensorRT with INT8. |
| `simplify` | `bool` | `True` | Simplifies the model graph for ONNX exports with `onnxslim`, potentially improving performance and compatibility with inference engines. |
| `opset` | `int` | `None` | Specifies the ONNX opset version for compatibility with different [ONNX](https://docs.ultralytics.com/integrations/onnx/) parsers and runtimes. If not set, uses the latest supported version. |
| `workspace` | `float` or `None` | `None` | Sets the maximum workspace size in GiB for [TensorRT](https://docs.ultralytics.com/integrations/tensorrt/) optimizations, balancing memory usage and performance. Use `None` for auto-allocation by TensorRT up to device maximum. |
| `nms` | `bool` | `False` | Adds Non-Maximum Suppression (NMS) to the exported model when supported (see [Export Formats](https://docs.ultralytics.com/modes/export/)), improving detection post-processing efficiency. Not available for end2end models. |
| `batch` | `int` | `1` | Specifies export model batch inference size or the maximum number of images the exported model will process concurrently in `predict` mode. For Edge TPU exports, this is automatically set to 1. |
| `device` | `str` | `None` | Specifies the device for exporting: GPU (`device=0`), CPU (`device=cpu`), MPS for Apple silicon (`device=mps`) or DLA for NVIDIA Jetson (`device=dla:0` or `device=dla:1`). TensorRT exports automatically use GPU. |
| `data` | `str` | `'coco8.yaml'` | Path to the [dataset](https://docs.ultralytics.com/datasets/) configuration file, essential for INT8 quantization calibration. If not specified with INT8 enabled, `coco8.yaml` will be used as a fallback for calibration. |
| `fraction` | `float` | `1.0` | Specifies the fraction of the dataset to use for INT8 quantization calibration. Allows for calibrating on a subset of the full dataset, useful for experiments or when resources are limited. If not specified with INT8 enabled, the full dataset will be used. |
| `end2end` | `bool` | `None` | Overrides the end-to-end mode in YOLO models that support NMS-free inference (YOLO26, YOLOv10). Setting it to `False` lets you export these models to be compatible with the traditional NMS-based postprocessing pipeline. |