Commit Graph

189 Commits

Author SHA1 Message Date
ykcheungab 26382b359f feat: ForceStreamSession 使用固定设计帧率的输出滤波(T07)
新增 FixedRateOutputFilter:设计帧率在会话创建时固定,实测帧率漂移和长间隔只报告、不重新设计也不清历史;request_output_settings 可跨线程排队,在力线程帧边界切换,只重建滤波链、清空历史,不改零点和参考版本,并发出 output_filter_changed StreamEvent(设置、指纹、生效帧、预热)。结果行带滤波设置身份与预热状态。已发布 ForceReadout 和旧 ForceSession/ForceOutputFilter 默认行为不变;设计帧率下与旧会话逐位一致。回归 391 项、lint 通过。
2026-10-21 16:27:44 +08:00
ykcheungab 11f8dc93e5 feat: ForceStreamSession 覆盖 field 与 FN-only 标定(T06b)
新增 measurement_requirements,告知调用方 field 模型需要同帧场数据。补充标量、field、FN-only 三类标定与旧 ForceSession 的数值等价测试,以及标定与帧不匹配的情况:field 缺 context 时构造失败,基线帧缺 field 时零点失败,ready 后缺 field 的帧单独标为 invalid_input。与改动前的旧会话基线逐位一致。回归 381 项、lint 通过。
2026-10-21 15:46:01 +08:00
ykcheungab 14e73d743c feat: 新增消费 MeasurementFrame 的力侧会话 ForceStreamSession(T06a)
新会话直接消费 ImageMeasurement:参考版本或 session 改变时,在 resetting、collecting、ready 任一阶段都作废旧零点;请求的目标版本到达时采用并开始同版本基线采样,目标前的在途帧标为 zero_pending;重复、迟到、同时间戳的帧只给诊断;max_gap_s/max_window_s 超限给出原因;每帧输出带帧头和参考版本的结果行。不提供旧的外部复位接口;旧 ForceSession 原样保留给 App。标量与无标定场景与旧会话逐位一致。回归 374 项、lint 通过。
2026-10-21 15:01:38 +08:00
ykcheungab e3b60f3d6d feat: 将图像块拆分为可独立运行的 ImagePipeline
光流、HHD 和场从 Sensor 中抽到 ImageSettings/ImagePipeline,Sensor 与 FingerRuntime 改为委托,公开接口与数值不变(222 个基线数组逐位一致,含运行时 flow_ema_alpha 场景)。参考版本只有一个来源:StreamPipeline 在 flow 线程领取的版本逐帧交给图像块。对外数组为只读副本;输出带 stream-contract 的 MeasurementFrame 头。回归 357 项、lint 通过。
2026-10-21 13:35:02 +08:00
ykcheungab 474dbf5a64 feat: 为每个 Sensor 绑定只读 SensorContext
构造时一次绑定 SN、配置、资产和当前生效的标定:只接受显式给出的 SN,不做猜测;标定路径只取当前生效的标定,清除后为 None;换标定时整体替换。帧身份复用 stream-contract 的 FrameIdentity。load_config 改为复用 resolve_config_source,使记录的配置来源与实际读取的文件一致,并补一致性测试。已发布 Sensor 数值和资产包解析不变。回归 275 项、lint 通过。
2026-10-21 11:04:02 +08:00
ykcheungab f6f3c45285 feat: 新增单路流类型合同 stream-contract/1
冻结逐帧身份、采集时钟、测量头和事件信封:FrameIdentity、FrameClock、FrameStamp、MeasurementFrame、StreamEvent,并从包根导出。采用严格读取:未知字段和未列出的版本一律拒绝,任何字段变更都升版本,读取方在 SUPPORTED_CONTRACT_VERSIONS 中列出可读版本;未知事件 kind 仍兼容。事件可哈希,kind 为 lower_snake。合同写入 docs/stream-contract.zh.md;不接入现有运行时。窄套件 139 项、lint 通过。
2026-10-21 11:03:53 +08:00
ykcheungab c256870ee2 fix: 按复位请求目标确认参考版本并隔离复位状态
防止在途旧帧提前触发归零,并保留旧 reset 用法。SDK 101 项针对性回归与 lint 通过。
2026-10-20 20:33:23 +08:00
ykcheungab ee830d8505 新增统一力读数会话 ForceSession
把同帧测量、空载归零、模型推断与共用后处理收进一个 SDK 会话,Studio 显示与记录使用同一样本;旧 Sensor 读数接口保持兼容。以 force session 与受影响 SDK 套件、lint 与文档门禁验证,硬件与真实载荷精度未验证。

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CpCfJF6SvonMKmPZhzKZHb
2026-10-20 07:07:22 +00:00
ykcheungab dc8a630df3 发布 SDK 0.6.0 并补充场标定使用说明
支持不带前缀的版本标签,保留 Finger 资产随 wheel 交付。发布工具 97 项回归及 SDK 自带资产的场标定录像验证通过。
2026-10-19 20:56:00 +08:00
ykcheungab 0a042c7fbf 新增 HHD 场加权标定模型与加权空载基线
field_gain/1 用坐标增益图对无旋向量场做 L1 场加权,以连续 30 帧加权中位数替代旧 raw 零点,实时入口暂不支持。目标测试 102 项与 lint_gate 通过;契约见 orisys-sdk/docs/field-gain-model.zh.md。
2026-10-19 19:49:25 +08:00
ykcheungab c78f7a304f 允许 HHD 下采样率不同的标定保持兼容
按实际运行上下文核对其余处理参数,保留文件指纹与设备身份校验。115 项标定及运行时检查通过。
2026-10-19 16:30:42 +08:00
ykcheungab fb72dabecd 补充 Finger 模型切换与逐帧接触状态
按实际几何和处理参数校验切换模型,并保留帧内接触状态。88 项相关测试通过。
2026-10-19 09:47:44 +08:00
ykcheungab ff7614a6a0 接入力标定 schema 3 与多点空间增益模型
保留旧格式和 cal_path,校验 SN、特征身份及坐标附件,按帧返回逐轴状态。相关测试 263 项通过,已核对存量预测并实测 180 帧录像。
2026-10-18 12:56:40 +08:00
ykcheungab 120b8c2cf6 为采集帧绑定主机时间与来源信息
采集时间随图像穿过处理队列,并修正未读帧的丢帧计数。通过采集与流水线针对性测试。
2026-10-11 12:48:34 +08:00
ykcheungab 0784eacf51 把 FN/FX/FY 力读出抽到 ForceReadout。
滤波预设、EMA、中值、低通与标定换算离开 Sensor;对外 configure / filters_state 不变。已有 signal_processing、filter_presets、calibration 测试通过。
2026-10-08 10:08:35 +08:00
ykcheungab 34cb83d4a4 修正示例中的三轴力单位显示
避免未标定读数被示例标成 N,并让 Finger 示例读取 SDK 的每轴单位。已通过相关测试和语法检查。
2026-10-05 13:10:58 +08:00
ykcheungab 38d3e67b00 固定 HHD 下采样并标记三轴力单位
避免运行中改变 HHD 测量配置,并明确部分标定时各轴单位。已通过 SDK 与共享层测试。
2026-10-05 12:56:29 +08:00
ykcheungab 80f7da5a20 添加按设备 ID 选择和校验标定文件
避免多台传感器误用默认标定,缺文件时保持 raw。已通过 SDK 回归测试和文档检查。
2026-10-05 12:21:04 +08:00
ykcheungab 230b04a79d Add a sensor bundle contract separating family, backend and profile
Product name decided the pipeline: Mini worked live but replay refused it. A bundle descriptor now declares profile_id, product_family and processing_backend, with computational and visualization assets kept apart, and one resolver serves live and recorded input. Legacy bundles load through a documented adapter that never guesses a backend from a folder name.
2026-10-04 20:55:39 +08:00
ykcheungab 6e3d509239 Add pipeline pause and resume at two levels
Pause now holds the pipeline without tearing it down: CAPTURE_ONLY keeps the camera
streaming so a live sensor stays converged while the flow and HHD stages stop, and BOTH stops
the read as well. Resume rebases the tracker, because a held reference frame would otherwise
report the hold itself as deformation.

Verified with tests/test_pipeline_pause.py: 10 passed across three consecutive runs.
2026-10-04 20:55:35 +08:00
ykcheungab 333fa8fcff added pause/wait functions for stream 2026-09-30 21:23:08 +08:00
ykcheungab b5d7533e24 examples: make StreamPipeline the recommended entry, archive the manual loop
The two canonical examples taught the advanced path: they sequenced
get_img() -> compute_deformation() -> compute_contact() -> read_info() by hand
and unpacked a 13-element tuple positionally, which is what led developers to
reach for the compute backend, the capture queue and the stitch mode. The
managed alternative already existed and was documented nowhere.

Library (add-only, nothing removed):

- FrameSnapshot.image_size_raw carries the capture resolution, so a caller can
  compare it with the processed frame instead of reaching into Sensor.
- StreamPipeline.reset() resets the tracker and force filters *safely*. It is
  queued and applied by the flow stage before its next frame, never inline:
  Sensor.reset rebases initial_img on the current Sensor.img, which the flow
  stage is reading concurrently, so a caller-thread reset would capture a
  half-written reference frame. Idempotent.
- TactileProcessor.pipeline(produce) and FingerRuntime.pipeline() build a
  pipeline without the caller naming a backend concept; the latter is
  `with runtime.pipeline(contact=True) as pipe`.

Examples:

- examples/basic_pipeline.py and examples/finger_pipeline.py rewritten onto
  StreamPipeline + FrameSnapshot: one object, one call per frame, no tuple, and
  no compute backend, queue or stitch setting in sight.
- examples/archive/basic_pipeline_manual.py and _finger_pipeline_manual.py keep
  the previous versions byte-for-byte apart from a supersede header, so code
  copied from them keeps working. The finger header also records the archived
  --show defect (store_true with default=True, so it could never be disabled).
- examples/_display.py holds the shared display helpers, so an example no longer
  hand-rolls depth normalisation and colormap application.
- examples/README.md leads with the recommended pair and documents the manual
  form as still-supported, and states that examples/gui/ is moving to
  orisys-studio.

Tests: three added to tests/test_pipeline.py, covering the reset queue (it must
not run on the caller's thread and must land before the first compute_flow),
image_size_raw, and the None case when a producer reports no size. Verified the
reset test fails when reset() is made inline, so it discriminates.

Verified end-to-end against real media: basic_pipeline on data/sample/s1_480p.mp4
(box) reaches ~113 FPS and exits 0; finger_pipeline on data/dd02-0703/1.mp4
(finger) reaches ~140 FPS with mask coverage 0.41 and exits 0. Both archived
manual versions still run. tests/test_pipeline.py: 20 passed. Full suite:
342 passed, 3 failed - all three failures reproduce on the pristine tree
(import precedence, longrun timing, and a stale ruff version literal in
docs/code-review.md) and are unrelated to this change.
2026-09-30 17:09:02 +08:00
ykcheungab 73b1fa7fa4 docs: correct the _perf path references after the bench moved
The `_perf/` measurement bench was gitignored and had never been committed, so
23 of the 27 scripts cited by the perf documents were already lost. The 11
surviving files (4 scripts, cfg_dm1.json, 5 result JSONs, the 53 MB MJPG clip)
have been moved to D:\orisys_ws\docs\performance\perf-measurements\ and the
scripts patched to resolve their defaults next to themselves. The directory has
been removed from this repo.

These three files said the scripts were deleted, which was only half true:
they are moved, and the four surviving ones still run. Repointed:

- src/orisys/sensor.py: the FILTER_PRESETS comment now names the real location
  (comment only; FILTER_PRESETS itself is unchanged).
- docs/filters.md and examples/filters/README.md: the same correction for the
  latency/noise measurement provenance.

No behaviour change.
2026-09-27 21:49:26 +08:00
ykcheungab e2ac36269c added ruff code reivew 2026-09-27 19:21:55 +08:00
ykcheungab 0e903792bd fix test sample s1.mp4 missing 2026-09-20 11:46:03 +08:00
ykcheungab 2e7b65298b fixed test_signal_processing error 2026-09-20 11:36:30 +08:00
ykcheungab e2b906a640 fix preflight config path check 2026-09-20 11:20:47 +08:00
ykcheungab 05b2354d0d update to 0.5.3 2026-09-20 11:01:33 +08:00
ykcheungab 1cf78c9d71 fixed calibration data not loading due to path 2026-09-20 11:00:33 +08:00
ykcheungab 14fbfec62e remove hand.py, replaced by pipeline.py 2026-09-14 13:55:30 +08:00
ykcheungab 11962cdc34 配置没写的滤波键等于"关",不再回落到会滤波的默认值 - What: DEFAULT_FORCE_MEDIAN_WINDOW 3 -> 1、DEFAULT_FLOW_EMA_ALPHA 0.5 -> 1.0(DEFAULT_FORCE_LOWPASS_HZ 本就是 0.0),并把注释改成"配置文件没写的键就是关,而不是我们觉得合理的那一档"——原因写在注释里:否则设备会去滤一个没人要求滤的测量,而文件里没有任何线索;实测的延迟/降噪数据保留在注释中,作为 balanced/low_noise 预设的依据。docs/filters.md 第 2 节增加"缺省 = 关"这一条并说明没有 filters 段的配置什么都不滤,预设表里 balanced 的用途由"默认建议"改为"建议起步档"(它不再是默认值)。examples/filters/README.md 补一句"整段删掉等价于 off"。tests/test_filter_presets.py 新增 test_a_config_with_no_filters_block_filters_nothing:把 box bundle 的 filters 段整段删掉后构造真实 Sensor,断言 filters_state() 报 ema 1.0 / median 1 / cutoff 0.0 且 any_stage_applied 为 False。 - Why: 上一版只把"非法值"改成回落到关,但"键根本不写"仍会走 DEFAULT_* 从而把 EMA 0.5 + 中值 3 打开——这与"配置自描述、文件说什么就跑什么、出厂默认全关"矛盾,且现实里存在大量没有 filters 段的手写配置(例如 _perf/cfg_res_280x300.json),它们会在无人察觉的情况下继续滤波。缺省开是这条链上最后一个隐藏默认值。 - Verification: 删掉 filters 段后实测 filters_state() = (1.0, 1, 0.0) 且 any_stage_applied=False,出厂 box/mini/finger 三份同样为全关;pytest tests/test_filter_presets.py + tests/test_calibration.py → 33 passed;SDK 全量 336 passed / 15 skipped(唯一失败仍是需要 1200 帧而样例只有 577 帧的 longrun 测试);app 侧 studio 85 项与 shared 142 项测试、ui_check 554 项检查在升级后的 0.5.2 下全绿。 - Not in this change: 出厂 bundle 的三个显式值未动(本来就全关);_perf 的两个校验脚本不在仓库内,已就地补上显式 filters 段(balanced)以保持"开 vs 关"对照仍有意义;app 侧 wrapper/齿轮/CSV 17 列未动。 2026-09-14 10:53:33 +08:00
ykcheungab ae5bf0c208 断开连接不再因无头 OpenCV 抛错 - What: Sensor.disconnect() 里的 cv2.destroyAllWindows() 包上 try/except cv2.error:无头构建(opencv-python-headless)没有 highgui,destroyAllWindows 会抛 "The function is not implemented",此前会让 finally 里 disconnect() 的调用方(测试、采集退出路径)拿到一个与传感器无关的异常。 - Why: 跑 SDK 测试时发现 tests/test_calibration.py::test_sensor_cal_path_v2_applies_to_read_info 与 test_set_calibration_swaps_curve 在本机(cv2 4.14.0 headless)稳定失败,断言本身都过了,报错在 finally 的 disconnect() 第 1098 行;这不是滤波改动引入的,但会一直污染每次验证,且 SDK 明确支持无头/CI 使用(backend="cpu"、external-frame 模式)。 - Verification: 修前该模块 7 failed / 13 passed(含上述两个既有测试),修后 20 passed;SDK 全量 335 passed / 15 skipped(唯一失败为需要 1200 帧而 data/sample/s1_480p.mp4 只有 577 帧的 longrun 测试)。 - Not in this change: 未改 disconnect() 的其他分支;未引入 highgui 依赖探测,只在真正调用失败时忽略。 2026-09-14 10:44:13 +08:00
ykcheungab 35190562e5 标定指纹改读生效值并按测量/读数分组 - What: calibration.py 新增 FILTER_MEASUREMENT_KEYS(flow_ema_alpha)与 FILTER_READOUT_KEYS(中值窗口、低通截止/阶数/采样率/rate_auto)、filters_fingerprint()(把 Sensor.filters_state() 归一化成 {measurement, readout, preset, source}:非法值丢弃、来源没写的键不出现而不是补默认、空映射返回 {} 表示"无记录")、filter_mismatches()(按组判读差异)与 _filters_from_config / _flat_filters_from(扁平旧格式与 preset 展开的兼容解析,显式键优先);pipeline_from_sensor_json() 新增 filters_state= 关键字——传了生效值就用生效值,否则读文件的 filters 段并标注 source="sensor.json.filters",返回结构化 filters 键,删除原先会凭空补出 0.5/3/10 的扁平键与 enabled 覆盖逻辑;Calibration.to_dict() 写 meta.filters(同时保留扁平键供旧读者按名取用);parse() 把 filters 读回 pipeline(此前 to_dict 写进 meta 的滤波键在读回时被整段丢弃,指纹实际是"只写不读");check() 改用 filter_mismatches 分开报告——measurement 组差异进 warnings 且措辞含 not comparable,readout 组差异进新增字段 CheckResult.notes(只记录、不拦截);build(extra_meta=…) 把 filters 与扁平滤波键折进结构化组。tests/test_calibration.py 新增 11 项测试(分组、preset 展开与显式键优先、enabled:false 全关、非法值为空而非默认、写入-读回往返、旧扁平文档读回、生效值压过文件、四个预设逐档核对)。docs/filters.md 新增第 7 节。 - Why: 用户决策 B 要求"Sensor.filters_state() 作为唯一生效值出口,calibration.py 指纹与 session.json 都读它、不读配置文件,指纹分 measurement/readout 两组";动手时确认旧实现三个问题叠加:来源错(读文件、被 filters.enabled 覆盖、文件没写就补默认 0.5/3/10),写进 meta 的指纹在读回时被丢弃,check() 因此永远比不出滤波差异——审计链是断的,不是不精确。 - Verification: SDK 全量 pytest 335 passed / 15 skipped,唯一失败 test_vnormal_longrun_no_outlier_jumps 需要 1200 帧而 data/sample/s1_480p.mp4 只有 577 帧(环境/数据,与本改动无关);external-frame 模式逐预设构造真实 Sensor,filters_fingerprint(filters_state()) 得 off(1.0,1,0.0) / low_latency(1.0,3,0.0) / balanced(0.5,3,0.0) / low_noise(0.3,3,10.0);写入→读回往返后 measurement/readout/preset 完整保留且 to_dict 幂等;旧扁平 meta 文档仍读回同一指纹;.repro/verify_cal_filters.py 50 项全绿。 - Not in this change: 未动 app(app 的 meta_from_sensor_json 只取 4 个键,不受影响);未升级 venv 内 SDK;examples/filters 的四个机器可读预设片段与 app 侧 wrapper/齿轮/CSV 17 列未动。 2026-09-14 10:43:58 +08:00
ykcheungab 0beb36a1af 滤波预设与生效值出口:FILTER_PRESETS + filters_state() + force_triplets() - What: 新增 FILTER_PRESETS(off/low_latency/balanced/low_noise,数值取自 _perf 的延迟表,low_noise 含 10 Hz 低通)与 available_filter_presets() 供 UI 取用;配置可写 filters.preset 且显式键优先于预设值;新增 Sensor.filters_state()(preset + measurement 组 flow_ema_alpha/flow_ema_applied/hhd_downsample/dis_mode + readout 组中值与低通的窗口/截止/阶数/采样率/是否 auto/是否生效 + sample_rate_source + any_stage_applied + source="sensor.filters_state")作为唯一"生效值"出口;新增 Sensor.force_triplets() 一次返回 {filtered:{raw,newton}, unfiltered:{raw,newton}},并在 _apply_force_filter 中于链后、标定前保存 _force_filtered_raw(修正:此前滤波后的 raw 计数没有保存,force_triplets 的 filtered.raw 实际返回的是输入);reset() 清空未滤波缓存。 - Why: 用户要求配置自描述(A)并把"生效值"作为审计唯一依据(B),同时要保留滤波前数据以便"两个 buffer、两个单位都保留";顺带证实并修掉了 filtered.raw 指向输入这一标签错误。 - Verification: external-frame 模式逐预设构造真实 Sensor 打印 filters_state:off/low_latency/balanced/low_noise 分别为 (ema 1.0 off, median 1 off, lp 0.0 off) / (1.0 off, 3 on, 0.0 off) / (0.5 on, 3 on, 0.0 off) / (0.3 on, 3 on, 10.0 on);注入 10,10,10,999,10,10 观察力三元组,filtered.raw 在尖峰帧为 10.0、unfiltered.raw 为 999.0,证明中值生效且未滤波 buffer 完整;compileall 通过。 - Not in this change: calibration.py 指纹尚未改读 filters_state(),examples/filters 与 docs/filters.md 未加,venv 里的 SDK 未升级(app 行为不变,仍硬编码 10 Hz 低通),app 侧 wrapper/齿轮/CSV 17 列未动。 2026-09-14 10:35:51 +08:00
ykcheungab 1adb1c30f0 滤波配置自描述:去掉覆盖式总开关,每级按自己的值生效 - What: sensor.py 删除 filters.enabled 这个覆盖层——flow_ema_alpha / force_median_window / force_lowpass_cutoff_hz 现在各自按值生效(0<α<1 才滤、≤1 关中值、≤0 关低通),非法值一律回落到"关"而不再回落到"默认开"(原实现里非法取值的 except 分支会把 cutoff 变回 10 Hz);enabled 仅作废弃别名保留(显式 false = 三级全关)并在 verbose 时提示弃用,true 不再有覆盖作用;_filters_enabled 改为派生量(任一级在滤才为真)供旧调用方查询。三份 sensors/{box,mini,finger}/sensor.json 的 filters 段改为自描述且默认全关(flow_ema_alpha 1.0 / force_median_window 1 / force_lowpass_cutoff_hz 0.0 / order 2 / sample_rate "auto")。 - Why: 用户问"flow_ema_alpha 是不是受 filter_enabled 控制、这样合适吗",查证后确认三级都被同一总开关覆盖,且出厂配置写 enabled:false 却仍列着 0.5/3,导致文件说的与设备实际跑的不一致(审计/指纹会误报);同时 flow_ema_alpha 位于 HHD 之前、改变的是测量本身,与中值/低通这类读数滤波性质不同,不应被一个开关捆绑。 - Verification: 用 SDK 的 external-frame 模式逐个 bundle 构造真实 Sensor 并读取解析结果:box/mini/finger 均为 ema=1.0、median=1、cutoff=0.0、lowpass_on=False、any_stage=False;三份 JSON 解析通过;compileall 通过;SDK 内 _filters_enabled 仅剩派生定义一处引用。 - Not in this change: 未动采集路径与 read_info/force_triplets(第 2 步),未动 calibration.py 指纹(第 2 步),未升级 venv 里的 SDK(第 5 步)——因此 app 当前行为不变(它仍在运行时硬编码 lowpass_cutoff_hz=10,压过本配置),"默认关"要到 app 改用 FilterSettings.apply_to(sensor) 后才在界面体现。 2026-09-14 10:26:39 +08:00
ykcheungab 514874e2f4 added 5 sensors multi-stream support, 5 finger reach > 100 fps stable using .mp4 video 2026-09-13 12:18:27 +08:00
ykcheungab 0d5d8ff70d update filter, flow ema 0.5 + med 3 2026-09-12 19:36:36 +08:00
ykcheungab 9537cf91a1 added preflight check 2026-09-12 15:49:28 +08:00
ykcheungab 96f4428230 added calibration data handling functions 2026-09-10 21:47:36 +08:00
ykcheungab ad680b77dc 0.5.1 2026-09-02 21:47:51 +08:00
ykcheungab 5be2d9759a hotfix/camera not connected error 2026-09-02 21:37:40 +08:00
ykcheungab 8a4be5f8f2 update to 0.5.0 2026-08-26 20:20:37 +08:00
ykcheungab 577e3fe528 update pip install .copy manifest for developments 2026-08-26 20:04:40 +08:00
ykcheungab d59e1cb7fb fix path errors 2026-08-26 19:22:37 +08:00
ykcheungab ab97efe039 refractor stitcher class into module 2026-08-23 16:24:53 +08:00
ykcheungab 8a7760f12b refractor capture to a module 2026-08-23 15:53:02 +08:00
ykcheungab 1ceb0d9ca4 organize settings to dedicated sensors folder, json + assets 2026-08-23 12:21:24 +08:00
ykcheungab 44bcc19426 update docs and downstream sync 2026-08-18 11:00:57 +08:00
ykcheungab 2e09c9360e included low pass filter in package and add to plot_data example 2026-08-17 22:11:17 +08:00
ykcheungab 3117ddd5b9 organize exampels according to products 2026-08-03 15:52:15 +08:00