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

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:
2026-06-03 11:40:21 +08:00
parent 7c43b44c57
commit e72bc061c5
5487 changed files with 979207 additions and 6197 deletions

View File

@@ -0,0 +1,24 @@
---
description: Get to know more about Ultralytics nn.autobackend.check_class_names functionality. Optimize your YOLO models seamlessly.
keywords: Ultralytics, AutoBackend, check_class_names, YOLO, YOLO models, optimization
---
# Reference for `ultralytics/nn/autobackend.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.autobackend.AutoBackend
<br><br><hr><br>
## ::: ultralytics.nn.autobackend.check_class_names
<br><br><hr><br>
## ::: ultralytics.nn.autobackend.default_class_names
<br><br>

View File

@@ -0,0 +1,16 @@
---
description: Explore activation functions in Ultralytics, including the Unified activation function and other custom implementations for neural networks.
keywords: ultralytics, activation functions, neural networks, Unified activation, AGLU, SiLU, ReLU, PyTorch, deep learning, custom activations
---
# Reference for `ultralytics/nn/modules/activation.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/activation.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/activation.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.modules.activation.AGLU
<br><br>

View File

@@ -0,0 +1,228 @@
---
description: Explore detailed documentation of block modules in Ultralytics, available for deep learning tasks. Contribute and improve the codebase.
keywords: Ultralytics, YOLO, neural networks, block modules, DFL, Proto, HGStem, HGBlock, SPP, SPPF, C1, C2, C2f, C3, C3x, RepC3, C3TR, C3Ghost, GhostBottleneck, Bottleneck, BottleneckCSP, ResNetBlock, MaxSigmoidAttnBlock, ImagePoolingAttn, ContrastiveHead, RepBottleneck, RepCSP, RepNCSPELAN4, ADown, SPPELAN, Silence, CBLinear, CBFuse
---
# Reference for `ultralytics/nn/modules/block.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.modules.block.DFL
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.Proto
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.HGStem
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.HGBlock
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.SPP
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.SPPF
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C1
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C2
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C2f
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C3
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C3x
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.RepC3
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C3TR
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C3Ghost
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.GhostBottleneck
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.Bottleneck
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.BottleneckCSP
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.ResNetBlock
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.ResNetLayer
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.MaxSigmoidAttnBlock
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C2fAttn
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.ImagePoolingAttn
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.ContrastiveHead
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.BNContrastiveHead
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.RepBottleneck
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.RepCSP
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.RepNCSPELAN4
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.ELAN1
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.AConv
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.ADown
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.SPPELAN
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.CBLinear
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.CBFuse
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C3f
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C3k2
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C3k
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.RepVGGDW
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.CIB
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C2fCIB
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.Attention
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.PSABlock
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.PSA
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C2PSA
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.C2fPSA
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.SCDown
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.TorchVision
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.AAttn
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.ABlock
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.A2C2f
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.SwiGLUFFN
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.Residual
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.SAVPE
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.Proto26
<br><br><hr><br>
## ::: ultralytics.nn.modules.block.RealNVP
<br><br>

View File

@@ -0,0 +1,72 @@
---
description: Explore detailed documentation on convolution modules like Conv, LightConv, GhostConv, and more used in Ultralytics models.
keywords: Ultralytics, convolution modules, Conv, LightConv, GhostConv, YOLO, deep learning, neural networks
---
# Reference for `ultralytics/nn/modules/conv.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.modules.conv.Conv
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.Conv2
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.LightConv
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.DWConv
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.DWConvTranspose2d
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.ConvTranspose
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.Focus
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.GhostConv
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.RepConv
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.ChannelAttention
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.SpatialAttention
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.CBAM
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.Concat
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.Index
<br><br><hr><br>
## ::: ultralytics.nn.modules.conv.autopad
<br><br>

View File

@@ -0,0 +1,72 @@
---
description: Explore docs covering Ultralytics YOLO detection, pose & RTDETRDecoder. Comprehensive guides to help you understand Ultralytics nn modules.
keywords: Ultralytics, YOLO, Detection, Pose, RTDETRDecoder, nn modules, guides
---
# Reference for `ultralytics/nn/modules/head.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.modules.head.Detect
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.Segment
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.Segment26
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.OBB
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.OBB26
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.Pose
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.Pose26
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.Classify
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.WorldDetect
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.LRPCHead
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.YOLOEDetect
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.YOLOESegment
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.YOLOESegment26
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.RTDETRDecoder
<br><br><hr><br>
## ::: ultralytics.nn.modules.head.v10Detect
<br><br>

View File

@@ -0,0 +1,52 @@
---
description: Learn about Ultralytics transformer encoder, layer, MLP block, LayerNorm2d and the deformable transformer decoder layer. Expand your understanding of these crucial AI modules.
keywords: Ultralytics, Ultralytics documentation, TransformerEncoderLayer, TransformerLayer, MLPBlock, LayerNorm2d, DeformableTransformerDecoderLayer
---
# Reference for `ultralytics/nn/modules/transformer.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.modules.transformer.TransformerEncoderLayer
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.AIFI
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.TransformerLayer
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.TransformerBlock
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.MLPBlock
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.MLP
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.LayerNorm2d
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.MSDeformAttn
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer
<br><br><hr><br>
## ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoder
<br><br>

View File

@@ -0,0 +1,32 @@
---
description: Explore the detailed reference of utility functions in the Ultralytics PyTorch modules. Learn about initialization, inverse sigmoid, and multiscale deformable attention.
keywords: Ultralytics, PyTorch, utils, initialization, inverse sigmoid, multiscale deformable attention, deep learning, neural networks
---
# Reference for `ultralytics/nn/modules/utils.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.modules.utils._get_clones
<br><br><hr><br>
## ::: ultralytics.nn.modules.utils.bias_init_with_prob
<br><br><hr><br>
## ::: ultralytics.nn.modules.utils.linear_init
<br><br><hr><br>
## ::: ultralytics.nn.modules.utils.inverse_sigmoid
<br><br><hr><br>
## ::: ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
<br><br>

View File

@@ -0,0 +1,92 @@
---
description: Dive into the intricacies of YOLO tasks.py. Learn about DetectionModel, PoseModel and more for powerful AI development.
keywords: Ultralytics, YOLO, nn tasks, DetectionModel, PoseModel, RTDETRDetectionModel, model weights, parse model, AI development
---
# Reference for `ultralytics/nn/tasks.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.tasks.BaseModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.DetectionModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.OBBModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.SegmentationModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.PoseModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.ClassificationModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.RTDETRDetectionModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.WorldModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.YOLOEModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.YOLOESegModel
<br><br><hr><br>
## ::: ultralytics.nn.tasks.Ensemble
<br><br><hr><br>
## ::: ultralytics.nn.tasks.SafeClass
<br><br><hr><br>
## ::: ultralytics.nn.tasks.SafeUnpickler
<br><br><hr><br>
## ::: ultralytics.nn.tasks.temporary_modules
<br><br><hr><br>
## ::: ultralytics.nn.tasks.torch_safe_load
<br><br><hr><br>
## ::: ultralytics.nn.tasks.load_checkpoint
<br><br><hr><br>
## ::: ultralytics.nn.tasks.parse_model
<br><br><hr><br>
## ::: ultralytics.nn.tasks.yaml_model_load
<br><br><hr><br>
## ::: ultralytics.nn.tasks.guess_model_scale
<br><br><hr><br>
## ::: ultralytics.nn.tasks.guess_model_task
<br><br>

View File

@@ -0,0 +1,32 @@
---
description: Documentation for text encoding models in Ultralytics YOLOE, supporting both OpenAI CLIP and Apple MobileCLIP implementations for vision-language tasks.
keywords: YOLOE, text encoding, CLIP, MobileCLIP, TextModel, vision-language models, embeddings, Ultralytics, deep learning
---
# Reference for `ultralytics/nn/text_model.py`
!!! success "Improvements"
This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/text_model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/text_model.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
<br>
## ::: ultralytics.nn.text_model.TextModel
<br><br><hr><br>
## ::: ultralytics.nn.text_model.CLIP
<br><br><hr><br>
## ::: ultralytics.nn.text_model.MobileCLIP
<br><br><hr><br>
## ::: ultralytics.nn.text_model.MobileCLIPTS
<br><br><hr><br>
## ::: ultralytics.nn.text_model.build_text_model
<br><br>