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module:
name: project_kelpie
codename: KELPIE
wave: 10
theme: WARDOG
tier: T2
defense_score: 36
paper:
title: Prototype-Based Low Altitude UAV Semantic Segmentation
short_title: PBSeg
arxiv_id: "2604.01550"
github: https://github.com/zhangda1018/PBSeg
verification_status: PARTIAL_VERIFIED_CTO_REVIEW
date: "2026-04-10"
model:
task: semantic_segmentation
architecture: prototype_based_cross_attention
backbone: resnet50
num_classes: 8
num_queries: 100
hidden_dim: 256
pbca_layers: 6
compute:
backends: [cuda, mlx, cpu]
default_device: auto
batch_size_cuda: 16
batch_size_mlx: 4
batch_size_cpu: 2
min_vram_gb: 16
datasets:
primary: internal_1_8m_uav
supported:
- uavid
- udd6
- visdrone
- uavdt
- dronevehicle
- seadronessee
shared_root: /Volumes/AIFlowDev/RobotFlowLabs/datasets/
serve:
entrypoint: anima_kelpie.serve:main
protocol: http
port: 8080
endpoints:
- GET /health
- GET /metadata
- POST /predict
healthcheck: http://localhost:8080/health
min_ram_gb: 4
gpu_required: false
extras:
- fastapi
- uvicorn
training:
script: python -m anima_kelpie.train
config: configs/default.toml
epochs: 100
lr: 0.001
optimizer: adamw
weight_decay: 0.0001
loss: mask_classification
val_ratio: 0.1
output_dir: /mnt/artifacts-datai/checkpoints/project_kelpie
log_dir: /mnt/artifacts-datai/logs/project_kelpie
export:
script: python -m anima_kelpie.export
output_dir: /mnt/artifacts-datai/exports/project_kelpie
formats:
- pt
- safetensors
- onnx
- tensorrt_fp16
- tensorrt_fp32
huggingface:
repo: ilessio-aiflowlab/project_kelpie
private: true
integration:
yolo26_required: true
ros2: anima-ros2-bridge
simulator: anima-Ros2-Gazebo
status:
phase: phase_1_scaffold
mvp_readiness: 55
blockers:
- waiting_for_uavid_udd6_access
- gpus_busy_with_nighthawk_mega_dataset
- upstream_repo_empty_reimplemented_from_paper
last_update: "2026-04-11"