Chengfang Lu
e72bc061c5
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)
2.3 KiB
2.3 KiB
{% macro param_table(params=None) -%}
| Argument | Type | Default | Description |
|---|---|---|---|
| {%- set default_params = { | |||
"show": ["bool", "False", "If True, displays the annotated images or videos in a window. Useful for immediate visual feedback during development or testing."], |
|||
| "save": ["bool", "False or True", "Enables saving of the annotated images or videos to files. Useful for documentation, further analysis, or sharing results. Defaults to True when using CLI & False when used in Python."], | |||
| "save_frames": ["bool", "False", "When processing videos, saves individual frames as images. Useful for extracting specific frames or for detailed frame-by-frame analysis."], | |||
"save_txt": ["bool", "False", "Saves detection results in a text file, following the format [class] [x_center] [y_center] [width] [height] [confidence]. Useful for integration with other analysis tools."], |
|||
| "save_conf": ["bool", "False", "Includes confidence scores in the saved text files. Enhances the detail available for post-processing and analysis."], | |||
| "save_crop": ["bool", "False", "Saves cropped images of detections. Useful for dataset augmentation, analysis, or creating focused datasets for specific objects."], | |||
| "show_labels": ["bool", "True", "Displays labels for each detection in the visual output. Provides immediate understanding of detected objects."], | |||
| "show_conf": ["bool", "True", "Displays the confidence score for each detection alongside the label. Gives insight into the model's certainty for each detection."], | |||
| "show_boxes": ["bool", "True", "Draws bounding boxes around detected objects. Essential for visual identification and location of objects in images or video frames."], | |||
"line_width": ["int or None", "None", "Specifies the line width of bounding boxes. If None, the line width is automatically adjusted based on the image size. Provides visual customization for clarity."], |
|||
| } %} |
{% if not params %}
{% for param, details in default_params.items() %}
| {{ param }} | {{ details[0] }} | {{ details[1] }} | {{ details[2] }} |
{% endfor %}
{% else %}
{% for param in params %}
{% if param in default_params %}
| {{ param }} | {{ default_params[param][0] }} | {{ default_params[param][1] }} | {{ default_params[param][2] }} |
{% endif %}
{% endfor %}
{% endif %}
{%- endmacro -%}