typed op• 데이터 종류: signal → image
• 호출: fullseye.apply(img, "tb_spectrogram", a=0.5, b=0.5)(2-D 는 이미지 1 장 + 스칼라 노브 2 개 a,b∈[0,1] 모델)
STFT 크기 스펙트로그램 -> `(freqs, times, S), S의 형태는 (n_freqs, n_frames). 한(Hann) 윈도우 사용; *hop*의 기본값은 win//2`.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
**Same raw convention as :func:spectrum, but a different divisor.** Each
column is the unnormalised `|rfft(frame * hann(win))|`, so it is not an
amplitude either — and dividing by `2/win` is *wrong* here, because the
Hann window has already thrown away part of the signal. The correct one-sided
amplitude conversion divides by the window's coherent gain::
w = np.hanning(win)
amp = S * (2.0 / w.sum()) # bins 1 .. win/2-1; DC / Nyquist: 1/w.sum()
Measured on a unit sine at a bin centre (`rate = 16000` Hz, 1000 Hz,
amplitude exactly 1.0, `win = 256`): the raw column peak is
`63.7497786196906; * 2/win gives 0.49804514546633283` (too small by
exactly the Hann coherent gain `sum(w)/win = 0.498046875`), while
`* 2/sum(w) gives 0.9999965273676957`. Only the second one is the
amplitude that was actually in the signal.
Peak *positions*, frame-to-frame ratios and any dB *difference* are unaffected
by either factor. This function returns magnitudes only — the phase is
discarded, so it cannot be inverted; use `acoustics.stft / acoustics.istft`
for a round-trip.
Typed bridge of the 1d op `spectrogram into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives rate (default 1) and b drives win` (default 256).
• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.
• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.
• (아직 없음)
image 를 입력으로 받는 것)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal
*Provenance: ops.py — 2D 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.