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OperationRoomMonitor/configs/default_config.yaml

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# 篮子接触分段 + 段内耗材识别
# 入口: main_basket.py / main_basket_stream.py / main_segments_offline.py
io:
video: input/sample.mp4
excel: input/视频中的商品信息表.xlsx
out: output/result.txt
# false段内耗材分类不做 Excel/JSON 白名单裁剪(全 41 类Excel 仍用于 product_id 映射
use_whitelist: false
# use_whitelist=true 时null 从 excel C 列读白名单;或指定 {"allowed_names":[...]} JSON
whitelist_json: null
weights:
hand: weights/hand_detect.pt
goodbad: weights/goodbad_frame.pt
haocai: weights/haocai_classify.pt
runtime:
work_dir: null
keep_work_dir: false
python: null
device:
type: cuda
half: false
# 段内:手检 → 双手 ROI → 好坏帧门控 → 耗材分类
phase2:
seek_margin_sec: 3.0
frame_stride: 1
det_conf: 0.6
# 双手 union 紧框后仅向下延伸(相对框高)
pad_bottom_ratio: 0.5
imgsz_det: 1920
# 段内需检测到至少两只手才裁 ROI取最大两只 unionmerge_* 已不使用
merge_iou_gt: 0.0
merge_center_dist_max_px: null
merge_center_dist_max_frac_diag: null
tracking_alpha: 0.6
tracking_max_lost_frames: 0
classification:
imgsz_cls: 224
good_top1_conf_threshold: 0.8
good_top1_retry_threshold: 0.6
haocai_min_conf: 0.8
haocai_min_conf_retry: 0.5
empty_cache_every: 0
gap_merge:
enabled: true
max_gap_sec: 2.0
output:
legacy_12_col_only: true
doctor_identity:
enabled: true
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stream_enabled: true
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checkpoint: doctor_identity_package/doctor_info.pth
labels_csv: doctor_identity_package/labels.csv
pose_min_detection_confidence: 0.30
min_identity_confidence: 0.00
middle_seconds: 10.0
sample_fps: 3.0
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segment_sample_fps: 3.0
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pad_frac: 0.15
# 篮子接触分段main_basket.py / main_basket_stream.py
basket:
det_conf: 0.6
contact_iou_threshold: 0.05
contact_iou_on: 0.03
contact_iou_off: 0.01
confirm_seconds: 0.1
cooldown_seconds: 3.0
segment_start_offset_sec: 1.0
segment_end_offset_sec: 6.0
min_segment_sec: 4.0
scan_frame_stride: 1
roi_frame: first
save_roi_json: null
load_roi_json: null
skip_roi_select: false
roi_backend: tkinter
# 推流实时识别main_basket_stream.py
# 接触判定 / 手检 imgsz / 好坏帧 / 耗材阈值:与离线共用 basket + phase2 + classification
# 段内推理:本地 MP4 回源 4K + phase2.imgsz_det=1920与离线一致RTSP/缓存 fallback 时 JPEG 宽≤1920
stream:
rtsp: null
ring_buffer_sec: 10.0
cache_max_width: 1920
jpeg_quality: 85
fps: 25.0
# 段窗口与 basket 一致:[contact+1, contact+6],时长 5s
segment_start_offset_sec: 1.0
segment_end_offset_sec: 6.0
min_segment_sec: 4.0
infer_source: file
infer_fallback: cache