ARGUS 质检报告

IUMI 叠衣服 1000h (umi_fold_clothes_v30)

生成时间 2026-10-20T14:47:56+00:00生成人 admin质检配置 feaff2303794报告 98003abb6259

质量结论：证据不足评估完整性：不完整

覆盖导出时项目的有效成员及其当前关联的质检证据，不代表 OSS 源全量。证据不足表示存在待完成、未运行、配置过期、执行错误或必需检查未评估的集；其中已发现的不合格数据照常列出。

总览

目标 episode77,196107,994,723 帧 · 999.95 h

QC 合格候选77,179通过 + 有提示，占目标 100.0%

不合格8占目标 0.0%

必需检查已评估100.0%77,187 / 77,196 集

有问题的 episode562去重后；问题明细 612 条

集状态	集数	占比	帧数	时长
通过	76,631	99.3%	106,852,610	989.38 h
有提示 · 待人工判断	548	0.7%	1,111,585	10.29 h
不合格	8	0.0%	17,684	0.16 h
不适用	0	0.0%	0	0 s
执行错误	9	0.0%	12,844	0.12 h

各状态互斥，合计等于目标 77,196 集。

检查项结果

与质检总览口径一致。各检查的问题集数独立统计，一集可同时触发多项，不能相加。

结构与完整性 · 2 项

检查项目	用途	已评估 / 总集数	问题	其他结果（集数）
片段过短episode_too_short	异常时提示复核	77,187 / 77,196	0	执行异常 9
索引完整性inventory.integrity	异常时不通过	77,196 / 77,196	0	—

时间与同步 · 1 项

检查项目	用途	已评估 / 总集数	问题	其他结果（集数）
源时间单调性time.monotonic	异常时提示复核	77,196 / 77,196	0	—

视频质量 · 12 项

检查项目	用途	已评估 / 总集数	问题	其他结果（集数）
无相机流missing_camera	异常时不通过	77,187 / 77,196	0	执行异常 9
视频解码失败video_decode_failure	异常时不通过	77,187 / 77,196	0	执行异常 9
视频解码帧数不匹配video_decode_frame_count_mismatch	异常时不通过	77,187 / 77,196	0	执行异常 9
极端曝光（旧规则）video_extreme_exposure	异常时提示复核	77,187 / 77,196	0	执行异常 9
低对比度video_low_contrast	纳入报告	77,187 / 77,196	0	执行异常 9
相邻重复帧video_duplicate_frames	异常时提示复核	77,187 / 77,196	0	执行异常 9
视频冻结video_frozen_run	异常时提示复核	77,187 / 77,196	62	执行异常 9
黑屏（LeRobot）video_black_frames	异常时不通过	77,187 / 77,196	8	执行异常 9
白屏（LeRobot）video_white_frames	异常时不通过	77,187 / 77,196	0	执行异常 9
大面积过曝（LeRobot）video_overexposed_frames	异常时提示复核	77,187 / 77,196	0	执行异常 9
均匀画面（LeRobot）video_flat_frames	异常时提示复核	77,187 / 77,196	0	执行异常 9
首尾静止画面video.edge_still	纳入报告	77,181 / 77,196	44	执行异常 15

运动与视觉一致性 · 1 项

检查项目	用途	已评估 / 总集数	问题	其他结果（集数）
首尾静止候选motion.edge_idle	异常时提示复核	77,196 / 77,196	488	—

管线与处理 · 1 项

检查项目	用途	已评估 / 总集数	问题	其他结果（集数）
信号事件表signal.events	纳入报告	77,196 / 77,196	0	—

问题数据

每个检查列出前 20 集（按 uid 排序），给出第一处问题的位置；完整明细见 findings.csv 与 episodes.csv。

视频冻结 · 62 集（显示前 20 集）

Episode / 任务	时长	位置	问题
`016e93ab64b33a19b633f3816eba1914`#0 · fold the beige pants	43.6 s	26.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`0ba302d68e500dbc7d1f53999b75cb88`#0 · fold the maroon shirt	337.0 s	18.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`0dfbdf359836f27b8d78189e49a67a0f`#0 · fold the black pants	240.9 s	10.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`0e1331162511443107d56db9265261c1`#0 · fold the black pants	63.3 s	10.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`0f8e14efd0cd36e6ae3a0224fc6cfb46`#0 · fold the black jacket	93.5 s	10.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`12399d9cd64ab583b976e7780a10ab01`#0 · fold the orange short sleeve	145.9 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`17d0a02e0139732a1425ca24331bea97`#0 · fold the black pants	49.5 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`1fdd3908235edcab75a6d1edee0a9b56`#0 · fold the dark green pants	83.0 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`23af83005769f50d21fae5ebfd4fa5d1`#0 · fold the green jacket	68.6 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`23f46c2710290336d1560e4ad0de0f0f`#0 · fold the orange short sleeve	130.4 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`2491efe99fe823b3784ac948e09570a2`#0 · fold the white short sleeve	99.6 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`26fea9026c8d0cd8e9c2345fd23ecd4d`#0 · fold the white t-shirt	98.1 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`27fe6e6f25847a3d0c94fed6fbcf710a`#0 · fold the black pants	56.9 s	10.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`365cfc0cc3358aadf254e854421a6996`#0 · fold the dark blue short sleeve	42.9 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`3ab6342ba01df7d121747f745de960c5`#0 · fold the black long sleeve	40.8 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`3d06ab86e7ab50abdfa45a17d67f5d84`#0 · fold the black short-sleeve shirt	26.6 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`43a26266656c24230d073d0b5b5c02cb`#0 · fold the light green sweater	52.0 s	10.0 sright	A camera shows the same frozen picture for over a second while the recording says it was moving.
`47731808c90beb314dc6645956b21515`#0 · fold the black patterned long sleeve	70.3 s	10.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`5460871e25d82fcb3c327a0924341b73`#0 · fold the black pants	65.7 s	10.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.
`54dc776a31012c47ae73cf15e754ac8f`#0 · fold the red long-sleeved shirt	279.5 s	10.0 sleft	A camera shows the same frozen picture for over a second while the recording says it was moving.

黑屏（LeRobot） · 8 集

Episode / 任务	时长	位置	问题
`0a65431f3ea1fd7293ef1b9eb9cb1eed`#0 · fold the black pants	74.7 s	2.0 s – 4.3 sright	RGB video contains black frames beyond the configured ratio or duration.
`0b4aba55265b79cd15f0b954bb923cd0`#0 · fold the white jacket	37.3 s	8.0 s – 20.2 sleft	RGB video contains black frames beyond the configured ratio or duration.另有 1 处
`14b43a99846ec543fa34b2dd4525ffb4`#0 · fold the black sweatpants	70.3 s	4.0 s – 6.3 sright	RGB video contains black frames beyond the configured ratio or duration.
`1c983b7f23b1c3e754833947e60c4e5f`#0 · fold the gray shirt	47.4 s	0.0 s – 32.3 sleft	RGB video contains black frames beyond the configured ratio or duration.另有 1 处
`3aa88a32617de081e0fe048c9285a16f`#0 · fold the white short sleeve	38.2 s	12.2 s – 30.2 sleft	RGB video contains black frames beyond the configured ratio or duration.另有 1 处
`5d07f3c8737ca3a0bd91e8cdc2a04d53`#0 · fold the white pants	86.4 s	36.0 s – 38.3 sleft	RGB video contains black frames beyond the configured ratio or duration.
`8a0ae342eae5304af841e7b79e7080da`#0 · fold the white shirt	44.2 s	4.0 s – 16.3 sleft	RGB video contains black frames beyond the configured ratio or duration.另有 1 处
`ebc6ca47f2b1a419d007feccda89d392`#0 · fold the navy blue sweatshirt	191.0 s	16.0 s – 30.3 sleft	RGB video contains black frames beyond the configured ratio or duration.另有 1 处

首尾静止画面 · 44 集（显示前 20 集）

Episode / 任务	时长	位置	问题
`020ba93207116f58634d154e9db34171`#0 · fold the black pants	38.1 s	35.0 s – 38.1 s	尾段静止画面（仅记录，可按有效区间裁剪）
`026d244e2f2431ea170294c2e9c58fc6`#0 · fold the black short sleeve	153.3 s	0.0 s – 1.5 s	首段静止画面（仅记录，可按有效区间裁剪）
`03e95c97958fce19036e331b9fce3be9`#0 · fold the brown pants	29.8 s	26.5 s – 29.8 s	尾段静止画面（仅记录，可按有效区间裁剪）
`173b9ebaa1209d59ef853ca668aa5f19`#0 · fold the black pants	32.2 s	25.5 s – 32.2 s	尾段静止画面（仅记录，可按有效区间裁剪）
`1cd7ecfea28cdaaeea617df8bf96cac8`#0 · fold the light pink long sleeve	37.6 s	0.0 s – 2.0 s	首段静止画面（仅记录，可按有效区间裁剪）
`1ed6585919fd231ba6595a6994993c00`#0 · fold the black short sleeve	121.5 s	119.5 s – 121.5 s	尾段静止画面（仅记录，可按有效区间裁剪）
`24d71590b5ff270395c0653bacc4c877`#0 · fold the white long sleeve	27.7 s	22.0 s – 27.7 s	尾段静止画面（仅记录，可按有效区间裁剪）
`26d25daad0ede41c612c6b84cd99c113`#0 · fold the pink floral pajamas	38.6 s	0.0 s – 2.0 s	首段静止画面（仅记录，可按有效区间裁剪）
`2f3bc56c19e579135395102adaceeddc`#0 · fold the black long sleeve	28.5 s	0.0 s – 1.0 s	首段静止画面（仅记录，可按有效区间裁剪）
`34aa59703d7beb1c4510ecdd29a05019`#0 · fold the black pants	25.7 s	21.5 s – 25.7 s	尾段静止画面（仅记录，可按有效区间裁剪）
`386726639efa3908cdb93d7e926729c4`#0 · fold the brown sweatshirt	40.6 s	0.0 s – 1.0 s	首段静止画面（仅记录，可按有效区间裁剪）
`3d3cd1e72e85c3c708efded67c31cf35`#0 · fold the black pants	31.8 s	23.0 s – 31.8 s	尾段静止画面（仅记录，可按有效区间裁剪）
`45b80fb1b5c1dc99f552205641a41941`#0 · fold the black short sleeve shirt	33.1 s	32.0 s – 33.1 s	尾段静止画面（仅记录，可按有效区间裁剪）
`4b668754a1536ce50c6c949042f645c5`#0 · fold the navy patterned long sleeve shirt	67.7 s	0.0 s – 7.0 s	首段静止画面（仅记录，可按有效区间裁剪）
`4c012052546ebcc333fde956b22c4880`#0 · fold the black pants	76.3 s	0.0 s – 6.0 s	首段静止画面（仅记录，可按有效区间裁剪）
`576bf0c2cf118da9186fdf55a482d9d5`#0 · fold the orange sweatshirt	59.6 s	58.5 s – 59.6 s	尾段静止画面（仅记录，可按有效区间裁剪）
`5c4ed00585e8a498f0022564034ebac0`#0 · fold the navy blue short sleeve	86.2 s	84.5 s – 86.2 s	尾段静止画面（仅记录，可按有效区间裁剪）
`5ec1f4379de5b776291f60aaa57e06a0`#0 · fold the pink plaid skirt	26.8 s	0.0 s – 1.0 s	首段静止画面（仅记录，可按有效区间裁剪）
`64e761c209414011de29eb568da8e6aa`#0 · fold the black shorts	33.2 s	28.5 s – 33.2 s	尾段静止画面（仅记录，可按有效区间裁剪）
`6b5256892dc4dc24d0e61413b9f8f162`#0 · fold the black pants	35.3 s	0.0 s – 1.5 s	首段静止画面（仅记录，可按有效区间裁剪）

首尾静止候选 · 488 集（显示前 20 集）

Episode / 任务	时长	位置	问题
`00051fd219386bf05ab4e89c9c3c3960`#0 · fold the black pants	26.7 s	21.1 s	片尾静止候选（确认仅记录判断）
`0013c404bd72dcbce5223270621efe50`#0 · fold the denim overalls	76.1 s	0.0 s	片头静止候选（确认仅记录判断）
`00f1eee7ffa9df3795112fdd572bdb42`#0 · fold the beige hoodie	56.2 s	54.3 s	片尾静止候选（确认仅记录判断）
`0105d7eb850dcd38f50e72be79f63128`#0 · fold the brown sweatshirt	61.2 s	60.1 s	片尾静止候选（确认仅记录判断）
`011dc0c8d92b99b9b45a912b1bd6123e`#0 · fold the white t-shirt	45.9 s	45.0 s	片尾静止候选（确认仅记录判断）
`01966cf841d056afb8960682d135b110`#0 · fold the white t-shirt	115.0 s	0.0 s	片头静止候选（确认仅记录判断）
`01f59ecd2d2c105e6e340c103d211545`#0 · fold the yellow short sleeve	67.2 s	65.9 s	片尾静止候选（确认仅记录判断）
`026d244e2f2431ea170294c2e9c58fc6`#0 · fold the black short sleeve	153.3 s	0.0 s	片头静止候选（确认仅记录判断）
`0395d4d7d3673d69c6472516f28d92f1`#0 · fold the gray sweater	120.9 s	0.0 s	片头静止候选（确认仅记录判断）
`03e090de1ff639bb39d548b399e737d3`#0 · fold the black pants	56.7 s	55.2 s	片尾静止候选（确认仅记录判断）
`03e95c97958fce19036e331b9fce3be9`#0 · fold the brown pants	29.8 s	26.1 s	片尾静止候选（确认仅记录判断）
`03f6a3c53152c7a73afe51c592a1c191`#0 · fold the white short sleeve	37.1 s	34.8 s	片尾静止候选（确认仅记录判断）
`045ff2c6fde2c3af3de63c09f27940f2`#0 · fold the light blue short sleeve	102.5 s	0.0 s	片头静止候选（确认仅记录判断）
`04a43a60a76aefd464280d0ace533852`#0 · fold the light blue jeans	83.5 s	81.1 s	片尾静止候选（确认仅记录判断）
`05a253b58017f3233265b47317b4bc78`#0 · fold the brown short sleeve	39.5 s	0.0 s	片头静止候选（确认仅记录判断）
`0644e20b15e1de34522e6e597f898420`#0 · fold the white short sleeve	24.3 s	0.0 s	片头静止候选（确认仅记录判断）
`06631a745361e756b4d5b148f7f0235c`#0 · fold the black patterned t-shirt	21.9 s	0.0 s	片头静止候选（确认仅记录判断）
`0710112c9a11fe93dbbbded07aeb6f14`#0 · fold the black long sleeve shirt	120.5 s	0.0 s	片头静止候选（确认仅记录判断）
`0a65431f3ea1fd7293ef1b9eb9cb1eed`#0 · fold the black pants	74.7 s	73.7 s	片尾静止候选（确认仅记录判断）
`0a78e7dbb71d6880d63e1013cfa77b93`#0 · fold the blue jeans	320.8 s	0.0 s	片头静止候选（确认仅记录判断）

覆盖缺口

原因	集数
执行错误	9

配置过期的集使用旧配置的结果，不计入当前策略；执行错误的诊断见 episodes.csv 的 errors 列。需要完整结论时，请对这些集重新递交质检后再导出。

附录

质检运行（10 个）

运行	状态	创建时间	当前关联集数	配置
`1e7dbd08af184fe8ab9705cd8971b197`	completed_with_errors	2026-10-20T12:31:59+00:00	8,000	当前
`c7b0afaab9c0494caa1f3c2726fc86ed`	completed_with_errors	2026-10-20T12:34:02+00:00	8,000	当前
`0f1cdf8525044bcc97ed8dede1b6a332`	completed_with_errors	2026-10-20T12:36:06+00:00	8,000	当前
`b9de749ef77d458eadc672a0f5af2e39`	completed_with_errors	2026-10-20T12:38:09+00:00	8,000	当前
`804caaa1541e4070a110d4e57a8843e7`	completed_with_errors	2026-10-20T12:41:09+00:00	8,000	当前
`bd7efbb4c1a94c01bb420c4c0e9ccab9`	completed_with_errors	2026-10-20T12:44:13+00:00	8,000	当前
`52acc1572768422c9b38ae1cda8a74ea`	completed_with_errors	2026-10-20T12:47:15+00:00	8,000	当前
`64d52736f66f4c648bbc81226ef61ad7`	completed_with_errors	2026-10-20T12:50:07+00:00	8,000	当前
`9b9d69d5805047a6aa886dc39a8c33fc`	completed_with_errors	2026-10-20T12:53:03+00:00	8,000	当前
`df18ca667fe847368d64daee7bee454c`	completed_with_errors	2026-10-20T12:54:42+00:00	5,196	当前

质检配置

{
 "qc_operators": [
  {
   "operator": "inventory.integrity",
   "enabled": true,
   "parameters": {},
   "result_use": "block"
  },
  {
   "operator": "time.monotonic",
   "enabled": true,
   "parameters": {
    "field": "timestamp",
    "seconds_per_unit": 1,
    "max_gap_seconds": 0.5
   },
   "result_use": "review"
  },
  {
   "operator": "argus.capture_qc",
   "enabled": true,
   "parameters": {
    "selected_checks": [
     "episode_too_short",
     "missing_camera",
     "video_decode_failure",
     "video_decode_frame_count_mismatch",
     "video_extreme_exposure",
     "video_low_contrast",
     "video_duplicate_frames",
     "video_frozen_run",
     "video_black_frames",
     "video_white_frames",
     "video_overexposed_frames",
     "video_flat_frames"
    ],
    "check_policies": {
     "episode_too_short": "review",
     "missing_camera": "block",
     "video_decode_failure": "block",
     "video_decode_frame_count_mismatch": "block",
     "video_extreme_exposure": "review",
     "video_low_contrast": "observe",
     "video_duplicate_frames": "review",
     "video_frozen_run": "review",
     "video_black_frames": "block",
     "video_white_frames": "block",
     "video_overexposed_frames": "review",
     "video_flat_frames": "review"
    },
    "max_frames": 432000,
    "max_video_bytes": 8589934592,
    "extra_overrides": {
     "frozen_needs_motion": false
    },
    "video_sampling": {
     "mode": "burst",
     "interval_s": 2.0,
     "burst_frames": 8
    }
   },
   "result_use": "legacy"
  },
  {
   "operator": "motion.edge_idle",
   "enabled": true,
   "parameters": {
    "moving_bodies_confirmed": true,
    "speed_smoothing_seconds": 0.5,
    "translation_speed_m_s": 0.05,
    "rotation_speed_rad_s": 0.25,
    "translation_span_m": 0.05,
    "rotation_span_rad": 0.3,
    "min_idle_seconds": 0.5,
    "head_keep_seconds": 0,
    "tail_keep_seconds": 0,
    "video_max_mean_delta": 10.0,
    "max_frames": 432000,
    "max_video_bytes": 8589934592
   },
   "result_use": "review"
  },
  {
   "operator": "video.edge_still",
   "enabled": true,
   "parameters": {
    "max_frames": 432000,
    "max_video_bytes": 8589934592
   },
   "result_use": "observe"
  },
  {
   "operator": "signal.events",
   "enabled": true,
   "parameters": {
    "max_frames": 432000,
    "max_video_bytes": 8589934592
   },
   "result_use": "observe"
  }
 ],
 "qc_required": false
}

同一 zip 内：report.json（机器可读摘要）、episodes.csv（每集一行）、findings.csv（每处问题一行）、coverage.csv（每个检查项一行）、receipt.json（各文件 SHA256）。