Compare commits
10 Commits
c3acd0c193
...
normaliser
| Author | SHA1 | Date | |
|---|---|---|---|
| 2e6ad24aaa | |||
| 02fa3645d7 | |||
| ece30f1cd5 | |||
| 8b1d424cbe | |||
| 34d151aef1 | |||
| 0ecb83751f | |||
| 66a318fff8 | |||
| d2d504f5b8 | |||
| 66b9eee230 | |||
| ea57f87920 |
1
.gitignore
vendored
1
.gitignore
vendored
@ -6,3 +6,4 @@ __pycache__/
|
|||||||
*.bak
|
*.bak
|
||||||
*.swp
|
*.swp
|
||||||
*.swo
|
*.swo
|
||||||
|
acm_9
|
||||||
|
|||||||
File diff suppressed because it is too large
Load Diff
BIN
background.npy
Normal file
BIN
background.npy
Normal file
Binary file not shown.
BIN
calib_envelope.npy
Normal file
BIN
calib_envelope.npy
Normal file
Binary file not shown.
@ -1,5 +1,13 @@
|
|||||||
WF_WIDTH = 1000 # максимальное число точек в ряду водопада
|
WF_WIDTH = 1000 # максимальное число точек в ряду водопада
|
||||||
FFT_LEN = 1024 # длина БПФ для спектра/водопада спектров
|
FFT_LEN = 2048 # длина БПФ для спектра/водопада спектров
|
||||||
# Порог для инверсии сырых данных: если среднее значение свипа ниже порога —
|
# Порог для инверсии сырых данных: если среднее значение свипа ниже порога —
|
||||||
# считаем, что сигнал «меньше нуля» и домножаем свип на -1
|
# считаем, что сигнал «меньше нуля» и домножаем свип на -1
|
||||||
DATA_INVERSION_THRESHOLD = 10.0
|
DATA_INVERSION_THRESHOLD = 10.0
|
||||||
|
|
||||||
|
# Параметры IFFT-спектра (временной профиль из спектра 3.2..14.3 ГГц)
|
||||||
|
# Двусторонний спектр формируется как: [нули -14.3..-3.2 | нули -3.2..+3.2 | данные +3.2..+14.3]
|
||||||
|
ZEROS_LOW = 758 # нули от -14.3 до -3.2 ГГц
|
||||||
|
ZEROS_MID = 437 # нули от -3.2 до +3.2 ГГц
|
||||||
|
SWEEP_LEN = 758 # ожидаемая длина свипа (3.2 → 14.3 ГГц)
|
||||||
|
FREQ_SPAN_GHZ = 28.6 # полная двусторонняя полоса (-14.3 .. +14.3 ГГц)
|
||||||
|
IFFT_LEN = ZEROS_LOW + ZEROS_MID + SWEEP_LEN # = 1953
|
||||||
|
|||||||
@ -7,9 +7,12 @@ from typing import Optional, Tuple
|
|||||||
|
|
||||||
import numpy as np
|
import numpy as np
|
||||||
|
|
||||||
from rfg_adc_plotter.constants import FFT_LEN
|
from rfg_adc_plotter.constants import FFT_LEN, FREQ_SPAN_GHZ, IFFT_LEN
|
||||||
|
|
||||||
|
_IFFT_T_MAX_NS = float((IFFT_LEN - 1) / (FREQ_SPAN_GHZ * 1e9) * 1e9)
|
||||||
from rfg_adc_plotter.io.sweep_reader import SweepReader
|
from rfg_adc_plotter.io.sweep_reader import SweepReader
|
||||||
from rfg_adc_plotter.state.app_state import AppState, format_status
|
from rfg_adc_plotter.processing.normalizer import build_calib_envelopes
|
||||||
|
from rfg_adc_plotter.state.app_state import BACKGROUND_PATH, CALIB_ENVELOPE_PATH, AppState, format_status
|
||||||
from rfg_adc_plotter.state.ring_buffer import RingBuffer
|
from rfg_adc_plotter.state.ring_buffer import RingBuffer
|
||||||
from rfg_adc_plotter.types import SweepPacket
|
from rfg_adc_plotter.types import SweepPacket
|
||||||
|
|
||||||
@ -86,7 +89,14 @@ def run_matplotlib(args):
|
|||||||
|
|
||||||
q: Queue[SweepPacket] = Queue(maxsize=1000)
|
q: Queue[SweepPacket] = Queue(maxsize=1000)
|
||||||
stop_event = threading.Event()
|
stop_event = threading.Event()
|
||||||
reader = SweepReader(args.port, args.baud, q, stop_event, fancy=bool(args.fancy))
|
reader = SweepReader(
|
||||||
|
args.port,
|
||||||
|
args.baud,
|
||||||
|
q,
|
||||||
|
stop_event,
|
||||||
|
fancy=bool(args.fancy),
|
||||||
|
bin_mode=bool(getattr(args, "bin_mode", False)),
|
||||||
|
)
|
||||||
reader.start()
|
reader.start()
|
||||||
|
|
||||||
max_sweeps = int(max(10, args.max_sweeps))
|
max_sweeps = int(max(10, args.max_sweeps))
|
||||||
@ -112,10 +122,11 @@ def run_matplotlib(args):
|
|||||||
|
|
||||||
# График последнего свипа
|
# График последнего свипа
|
||||||
line_obj, = ax_line.plot([], [], lw=1, color="tab:blue")
|
line_obj, = ax_line.plot([], [], lw=1, color="tab:blue")
|
||||||
line_calib_obj, = ax_line.plot([], [], lw=1, color="tab:red")
|
|
||||||
line_norm_obj, = ax_line.plot([], [], lw=1, color="tab:green")
|
line_norm_obj, = ax_line.plot([], [], lw=1, color="tab:green")
|
||||||
|
line_env_lo, = ax_line.plot([], [], lw=1, color="tab:orange", linestyle="--", alpha=0.7)
|
||||||
|
line_env_hi, = ax_line.plot([], [], lw=1, color="tab:orange", linestyle="--", alpha=0.7)
|
||||||
ax_line.set_title("Сырые данные", pad=1)
|
ax_line.set_title("Сырые данные", pad=1)
|
||||||
ax_line.set_xlabel("F")
|
ax_line.set_xlabel("Частота, ГГц")
|
||||||
channel_text = ax_line.text(
|
channel_text = ax_line.text(
|
||||||
0.98, 0.98, "", transform=ax_line.transAxes,
|
0.98, 0.98, "", transform=ax_line.transAxes,
|
||||||
ha="right", va="top", fontsize=9, family="monospace",
|
ha="right", va="top", fontsize=9, family="monospace",
|
||||||
@ -126,8 +137,8 @@ def run_matplotlib(args):
|
|||||||
# График спектра
|
# График спектра
|
||||||
fft_line_obj, = ax_fft.plot([], [], lw=1)
|
fft_line_obj, = ax_fft.plot([], [], lw=1)
|
||||||
ax_fft.set_title("FFT", pad=1)
|
ax_fft.set_title("FFT", pad=1)
|
||||||
ax_fft.set_xlabel("X")
|
ax_fft.set_xlabel("Время, нс")
|
||||||
ax_fft.set_ylabel("Амплитуда, дБ")
|
ax_fft.set_ylabel("Мощность, дБ")
|
||||||
|
|
||||||
# Водопад сырых данных
|
# Водопад сырых данных
|
||||||
img_obj = ax_img.imshow(
|
img_obj = ax_img.imshow(
|
||||||
@ -147,7 +158,7 @@ def run_matplotlib(args):
|
|||||||
aspect="auto", interpolation="nearest", origin="lower", cmap=args.cmap,
|
aspect="auto", interpolation="nearest", origin="lower", cmap=args.cmap,
|
||||||
)
|
)
|
||||||
ax_spec.set_title("B-scan (дБ)", pad=12)
|
ax_spec.set_title("B-scan (дБ)", pad=12)
|
||||||
ax_spec.set_ylabel("расстояние")
|
ax_spec.set_ylabel("Время, нс")
|
||||||
try:
|
try:
|
||||||
ax_spec.tick_params(axis="x", labelbottom=False)
|
ax_spec.tick_params(axis="x", labelbottom=False)
|
||||||
except Exception:
|
except Exception:
|
||||||
@ -161,10 +172,16 @@ def run_matplotlib(args):
|
|||||||
ax_smax = fig.add_axes([0.95, 0.55, 0.02, 0.35])
|
ax_smax = fig.add_axes([0.95, 0.55, 0.02, 0.35])
|
||||||
ax_sctr = fig.add_axes([0.98, 0.55, 0.02, 0.35])
|
ax_sctr = fig.add_axes([0.98, 0.55, 0.02, 0.35])
|
||||||
ax_cb = fig.add_axes([0.92, 0.45, 0.08, 0.08])
|
ax_cb = fig.add_axes([0.92, 0.45, 0.08, 0.08])
|
||||||
|
ax_cb_file = fig.add_axes([0.92, 0.36, 0.08, 0.08])
|
||||||
ymin_slider = Slider(ax_smin, "Y min", 0, max(1, fft_bins - 1), valinit=0, valstep=1, orientation="vertical")
|
ymin_slider = Slider(ax_smin, "Y min", 0, max(1, fft_bins - 1), valinit=0, valstep=1, orientation="vertical")
|
||||||
ymax_slider = Slider(ax_smax, "Y max", 0, max(1, fft_bins - 1), valinit=max(1, fft_bins - 1), valstep=1, orientation="vertical")
|
ymax_slider = Slider(ax_smax, "Y max", 0, max(1, fft_bins - 1), valinit=max(1, fft_bins - 1), valstep=1, orientation="vertical")
|
||||||
contrast_slider = Slider(ax_sctr, "Int max", 0, 100, valinit=100, valstep=1, orientation="vertical")
|
contrast_slider = Slider(ax_sctr, "Int max", 0, 100, valinit=100, valstep=1, orientation="vertical")
|
||||||
calib_cb = CheckButtons(ax_cb, ["калибровка"], [False])
|
calib_cb = CheckButtons(ax_cb, ["калибровка"], [False])
|
||||||
|
calib_file_cb = CheckButtons(ax_cb_file, ["из файла"], [False])
|
||||||
|
|
||||||
|
import os as _os
|
||||||
|
if not _os.path.isfile(CALIB_ENVELOPE_PATH):
|
||||||
|
ax_cb_file.set_visible(False)
|
||||||
|
|
||||||
def _on_ylim_change(_val):
|
def _on_ylim_change(_val):
|
||||||
try:
|
try:
|
||||||
@ -175,28 +192,68 @@ def run_matplotlib(args):
|
|||||||
except Exception:
|
except Exception:
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
def _on_calib_file_clicked(_v):
|
||||||
|
use_file = bool(calib_file_cb.get_status()[0])
|
||||||
|
if use_file:
|
||||||
|
ok = state.load_calib_envelope(CALIB_ENVELOPE_PATH)
|
||||||
|
if ok:
|
||||||
|
state.set_calib_mode("file")
|
||||||
|
else:
|
||||||
|
calib_file_cb.set_active(0) # снять галочку
|
||||||
|
else:
|
||||||
|
state.set_calib_mode("live")
|
||||||
|
state.set_calib_enabled(bool(calib_cb.get_status()[0]))
|
||||||
|
|
||||||
|
def _on_calib_clicked(_v):
|
||||||
|
import os as _os2
|
||||||
|
if _os2.path.isfile(CALIB_ENVELOPE_PATH):
|
||||||
|
ax_cb_file.set_visible(True)
|
||||||
|
state.set_calib_enabled(bool(calib_cb.get_status()[0]))
|
||||||
|
fig.canvas.draw_idle()
|
||||||
|
|
||||||
|
ax_btn_bg = fig.add_axes([0.92, 0.27, 0.08, 0.05])
|
||||||
|
ax_cb_bg = fig.add_axes([0.92, 0.20, 0.08, 0.06])
|
||||||
|
from matplotlib.widgets import Button as MplButton
|
||||||
|
save_bg_btn = MplButton(ax_btn_bg, "Сохр. фон")
|
||||||
|
bg_cb = CheckButtons(ax_cb_bg, ["вычет фона"], [False])
|
||||||
|
|
||||||
|
def _on_save_bg(_event):
|
||||||
|
ok = state.save_background()
|
||||||
|
if ok:
|
||||||
|
state.load_background()
|
||||||
|
fig.canvas.draw_idle()
|
||||||
|
|
||||||
|
def _on_bg_clicked(_v):
|
||||||
|
state.set_background_enabled(bool(bg_cb.get_status()[0]))
|
||||||
|
|
||||||
|
save_bg_btn.on_clicked(_on_save_bg)
|
||||||
|
bg_cb.on_clicked(_on_bg_clicked)
|
||||||
|
|
||||||
ymin_slider.on_changed(_on_ylim_change)
|
ymin_slider.on_changed(_on_ylim_change)
|
||||||
ymax_slider.on_changed(_on_ylim_change)
|
ymax_slider.on_changed(_on_ylim_change)
|
||||||
contrast_slider.on_changed(lambda _v: fig.canvas.draw_idle())
|
contrast_slider.on_changed(lambda _v: fig.canvas.draw_idle())
|
||||||
calib_cb.on_clicked(lambda _v: state.set_calib_enabled(
|
calib_cb.on_clicked(_on_calib_clicked)
|
||||||
bool(calib_cb.get_status()[0])
|
calib_file_cb.on_clicked(_on_calib_file_clicked)
|
||||||
))
|
|
||||||
except Exception:
|
except Exception:
|
||||||
calib_cb = None
|
calib_cb = None
|
||||||
|
|
||||||
|
FREQ_MIN = 3.323
|
||||||
|
FREQ_MAX = 14.323
|
||||||
|
|
||||||
# --- Инициализация imshow при первом свипе ---
|
# --- Инициализация imshow при первом свипе ---
|
||||||
def _init_imshow_extents():
|
def _init_imshow_extents():
|
||||||
w = ring.width
|
w = ring.width
|
||||||
ms = ring.max_sweeps
|
ms = ring.max_sweeps
|
||||||
fb = ring.fft_bins
|
fb = ring.fft_bins
|
||||||
img_obj.set_data(np.zeros((w, ms), dtype=np.float32))
|
img_obj.set_data(np.zeros((w, ms), dtype=np.float32))
|
||||||
img_obj.set_extent((0, ms - 1, 0, w - 1 if w > 0 else 1))
|
img_obj.set_extent((0, ms - 1, FREQ_MIN, FREQ_MAX))
|
||||||
ax_img.set_xlim(0, ms - 1)
|
ax_img.set_xlim(0, ms - 1)
|
||||||
ax_img.set_ylim(0, max(1, w - 1))
|
ax_img.set_ylim(FREQ_MIN, FREQ_MAX)
|
||||||
img_fft_obj.set_data(np.zeros((fb, ms), dtype=np.float32))
|
img_fft_obj.set_data(np.zeros((fb, ms), dtype=np.float32))
|
||||||
img_fft_obj.set_extent((0, ms - 1, 0, fb - 1))
|
img_fft_obj.set_extent((0, ms - 1, 0.0, _IFFT_T_MAX_NS))
|
||||||
ax_spec.set_xlim(0, ms - 1)
|
ax_spec.set_xlim(0, ms - 1)
|
||||||
ax_spec.set_ylim(0, max(1, fb - 1))
|
ax_spec.set_ylim(0.0, _IFFT_T_MAX_NS)
|
||||||
|
ax_fft.set_xlim(0.0, _IFFT_T_MAX_NS)
|
||||||
|
|
||||||
_imshow_initialized = [False]
|
_imshow_initialized = [False]
|
||||||
|
|
||||||
@ -214,45 +271,57 @@ def run_matplotlib(args):
|
|||||||
xs = ring.x_shared[: raw.size]
|
xs = ring.x_shared[: raw.size]
|
||||||
else:
|
else:
|
||||||
xs = np.arange(raw.size, dtype=np.int32)
|
xs = np.arange(raw.size, dtype=np.int32)
|
||||||
line_obj.set_data(xs, raw)
|
def _norm_to_max(data):
|
||||||
if state.last_calib_sweep is not None:
|
m = float(np.nanmax(np.abs(data)))
|
||||||
line_calib_obj.set_data(xs[: state.last_calib_sweep.size], state.last_calib_sweep)
|
return data / m if m > 0.0 else data
|
||||||
|
line_obj.set_data(xs, _norm_to_max(raw))
|
||||||
|
if state.calib_mode == "file" and state.calib_file_envelope is not None:
|
||||||
|
upper = state.calib_file_envelope
|
||||||
|
lower = -upper
|
||||||
|
m_env = float(np.nanmax(np.abs(upper)))
|
||||||
|
if m_env <= 0.0:
|
||||||
|
m_env = 1.0
|
||||||
|
line_env_lo.set_data(xs[: upper.size], lower / m_env)
|
||||||
|
line_env_hi.set_data(xs[: upper.size], upper / m_env)
|
||||||
|
elif state.last_calib_sweep is not None:
|
||||||
|
calib = state.last_calib_sweep
|
||||||
|
m_calib = float(np.nanmax(np.abs(calib)))
|
||||||
|
if m_calib <= 0.0:
|
||||||
|
m_calib = 1.0
|
||||||
|
lower, upper = build_calib_envelopes(calib)
|
||||||
|
line_env_lo.set_data(xs[: calib.size], lower / m_calib)
|
||||||
|
line_env_hi.set_data(xs[: calib.size], upper / m_calib)
|
||||||
else:
|
else:
|
||||||
line_calib_obj.set_data([], [])
|
line_env_lo.set_data([], [])
|
||||||
|
line_env_hi.set_data([], [])
|
||||||
if state.current_sweep_norm is not None:
|
if state.current_sweep_norm is not None:
|
||||||
line_norm_obj.set_data(xs[: state.current_sweep_norm.size], state.current_sweep_norm)
|
line_norm_obj.set_data(xs[: state.current_sweep_norm.size], _norm_to_max(state.current_sweep_norm))
|
||||||
else:
|
else:
|
||||||
line_norm_obj.set_data([], [])
|
line_norm_obj.set_data([], [])
|
||||||
ax_line.set_xlim(0, max(1, raw.size - 1))
|
ax_line.set_xlim(FREQ_MIN, FREQ_MAX)
|
||||||
if fixed_ylim is None:
|
if fixed_ylim is None:
|
||||||
y0 = float(np.nanmin(raw))
|
ax_line.set_ylim(-1.05, 1.05)
|
||||||
y1 = float(np.nanmax(raw))
|
ax_line.set_ylabel("/ max")
|
||||||
if np.isfinite(y0) and np.isfinite(y1):
|
|
||||||
if y0 == y1:
|
|
||||||
pad = max(1.0, abs(y0) * 0.05)
|
|
||||||
y0 -= pad
|
|
||||||
y1 += pad
|
|
||||||
else:
|
|
||||||
pad = 0.05 * (y1 - y0)
|
|
||||||
y0 -= pad
|
|
||||||
y1 += pad
|
|
||||||
ax_line.set_ylim(y0, y1)
|
|
||||||
|
|
||||||
# Спектр — используем уже вычисленный в ring FFT
|
# Спектр — используем уже вычисленный в ring IFFT (временной профиль)
|
||||||
if ring.last_fft_vals is not None and ring.freq_shared is not None:
|
if ring.last_fft_vals is not None and ring.fft_time_axis is not None:
|
||||||
fft_vals = ring.last_fft_vals
|
fft_vals = ring.last_fft_vals
|
||||||
xs_fft = ring.freq_shared
|
xs_fft = ring.fft_time_axis
|
||||||
if fft_vals.size > xs_fft.size:
|
n = min(fft_vals.size, xs_fft.size)
|
||||||
fft_vals = fft_vals[: xs_fft.size]
|
fft_line_obj.set_data(xs_fft[:n], fft_vals[:n])
|
||||||
fft_line_obj.set_data(xs_fft[: fft_vals.size], fft_vals)
|
|
||||||
if np.isfinite(np.nanmin(fft_vals)) and np.isfinite(np.nanmax(fft_vals)):
|
if np.isfinite(np.nanmin(fft_vals)) and np.isfinite(np.nanmax(fft_vals)):
|
||||||
ax_fft.set_xlim(0, max(1, xs_fft.size - 1))
|
ax_fft.set_xlim(0, float(xs_fft[n - 1]))
|
||||||
ax_fft.set_ylim(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)))
|
ax_fft.set_ylim(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)))
|
||||||
|
|
||||||
# Водопад сырых данных
|
# Водопад сырых данных
|
||||||
if changed and ring.is_ready:
|
if changed and ring.is_ready:
|
||||||
disp = ring.get_display_ring()
|
disp = ring.get_display_ring()
|
||||||
|
if ring.x_shared is not None:
|
||||||
|
n = ring.x_shared.size
|
||||||
|
disp = disp[:n, :]
|
||||||
img_obj.set_data(disp)
|
img_obj.set_data(disp)
|
||||||
|
img_obj.set_extent((0, ring.max_sweeps - 1, FREQ_MIN, FREQ_MAX))
|
||||||
|
ax_img.set_ylim(FREQ_MIN, FREQ_MAX)
|
||||||
levels = _visible_levels(disp, ax_img)
|
levels = _visible_levels(disp, ax_img)
|
||||||
if levels is not None:
|
if levels is not None:
|
||||||
img_obj.set_clim(vmin=levels[0], vmax=levels[1])
|
img_obj.set_clim(vmin=levels[0], vmax=levels[1])
|
||||||
@ -276,7 +345,7 @@ def run_matplotlib(args):
|
|||||||
status_text.set_text(format_status(state.current_info))
|
status_text.set_text(format_status(state.current_info))
|
||||||
channel_text.set_text(state.format_channel_label())
|
channel_text.set_text(state.format_channel_label())
|
||||||
|
|
||||||
return (line_obj, line_calib_obj, line_norm_obj, img_obj, fft_line_obj, img_fft_obj, status_text, channel_text)
|
return (line_obj, line_norm_obj, line_env_lo, line_env_hi, img_obj, fft_line_obj, img_fft_obj, status_text, channel_text)
|
||||||
|
|
||||||
ani = FuncAnimation(fig, update, interval=interval_ms, blit=False)
|
ani = FuncAnimation(fig, update, interval=interval_ms, blit=False)
|
||||||
plt.show()
|
plt.show()
|
||||||
|
|||||||
@ -7,11 +7,16 @@ from typing import Optional, Tuple
|
|||||||
|
|
||||||
import numpy as np
|
import numpy as np
|
||||||
|
|
||||||
|
from rfg_adc_plotter.constants import FREQ_SPAN_GHZ, IFFT_LEN
|
||||||
from rfg_adc_plotter.io.sweep_reader import SweepReader
|
from rfg_adc_plotter.io.sweep_reader import SweepReader
|
||||||
from rfg_adc_plotter.state.app_state import AppState, format_status
|
from rfg_adc_plotter.processing.normalizer import build_calib_envelopes
|
||||||
|
from rfg_adc_plotter.state.app_state import BACKGROUND_PATH, CALIB_ENVELOPE_PATH, AppState, format_status
|
||||||
from rfg_adc_plotter.state.ring_buffer import RingBuffer
|
from rfg_adc_plotter.state.ring_buffer import RingBuffer
|
||||||
from rfg_adc_plotter.types import SweepPacket
|
from rfg_adc_plotter.types import SweepPacket
|
||||||
|
|
||||||
|
# Максимальное значение временной оси IFFT в нс
|
||||||
|
_IFFT_T_MAX_NS = float((IFFT_LEN - 1) / (FREQ_SPAN_GHZ * 1e9) * 1e9)
|
||||||
|
|
||||||
|
|
||||||
def _parse_ylim(ylim_str: Optional[str]) -> Optional[Tuple[float, float]]:
|
def _parse_ylim(ylim_str: Optional[str]) -> Optional[Tuple[float, float]]:
|
||||||
if not ylim_str:
|
if not ylim_str:
|
||||||
@ -39,8 +44,17 @@ def _parse_spec_clip(spec: Optional[str]) -> Optional[Tuple[float, float]]:
|
|||||||
return None
|
return None
|
||||||
|
|
||||||
|
|
||||||
def _visible_levels(data: np.ndarray, plot_item) -> Optional[Tuple[float, float]]:
|
def _visible_levels(
|
||||||
"""(vmin, vmax) по текущей видимой области ImageItem."""
|
data: np.ndarray,
|
||||||
|
plot_item,
|
||||||
|
freq_min: Optional[float] = None,
|
||||||
|
freq_max: Optional[float] = None,
|
||||||
|
) -> Optional[Tuple[float, float]]:
|
||||||
|
"""(vmin, vmax) по текущей видимой области ImageItem.
|
||||||
|
|
||||||
|
Если freq_min/freq_max заданы, ось Y трактуется как частота [freq_min..freq_max]
|
||||||
|
и пересчитывается в индексы строк данных.
|
||||||
|
"""
|
||||||
if data.size == 0:
|
if data.size == 0:
|
||||||
return None
|
return None
|
||||||
ny, nx = data.shape[0], data.shape[1]
|
ny, nx = data.shape[0], data.shape[1]
|
||||||
@ -53,8 +67,13 @@ def _visible_levels(data: np.ndarray, plot_item) -> Optional[Tuple[float, float]
|
|||||||
ymin, ymax = sorted((float(y0), float(y1)))
|
ymin, ymax = sorted((float(y0), float(y1)))
|
||||||
ix0 = max(0, min(nx - 1, int(np.floor(xmin))))
|
ix0 = max(0, min(nx - 1, int(np.floor(xmin))))
|
||||||
ix1 = max(0, min(nx - 1, int(np.ceil(xmax))))
|
ix1 = max(0, min(nx - 1, int(np.ceil(xmax))))
|
||||||
iy0 = max(0, min(ny - 1, int(np.floor(ymin))))
|
if freq_min is not None and freq_max is not None and freq_max > freq_min:
|
||||||
iy1 = max(0, min(ny - 1, int(np.ceil(ymax))))
|
span = freq_max - freq_min
|
||||||
|
iy0 = max(0, min(ny - 1, int(np.floor((ymin - freq_min) / span * ny))))
|
||||||
|
iy1 = max(0, min(ny - 1, int(np.ceil((ymax - freq_min) / span * ny))))
|
||||||
|
else:
|
||||||
|
iy0 = max(0, min(ny - 1, int(np.floor(ymin))))
|
||||||
|
iy1 = max(0, min(ny - 1, int(np.ceil(ymax))))
|
||||||
if ix1 < ix0:
|
if ix1 < ix0:
|
||||||
ix1 = ix0
|
ix1 = ix0
|
||||||
if iy1 < iy0:
|
if iy1 < iy0:
|
||||||
@ -87,7 +106,14 @@ def run_pyqtgraph(args):
|
|||||||
|
|
||||||
q: Queue[SweepPacket] = Queue(maxsize=1000)
|
q: Queue[SweepPacket] = Queue(maxsize=1000)
|
||||||
stop_event = threading.Event()
|
stop_event = threading.Event()
|
||||||
reader = SweepReader(args.port, args.baud, q, stop_event, fancy=bool(args.fancy))
|
reader = SweepReader(
|
||||||
|
args.port,
|
||||||
|
args.baud,
|
||||||
|
q,
|
||||||
|
stop_event,
|
||||||
|
fancy=bool(args.fancy),
|
||||||
|
bin_mode=bool(getattr(args, "bin_mode", False)),
|
||||||
|
)
|
||||||
reader.start()
|
reader.start()
|
||||||
|
|
||||||
max_sweeps = int(max(10, args.max_sweeps))
|
max_sweeps = int(max(10, args.max_sweeps))
|
||||||
@ -111,10 +137,13 @@ def run_pyqtgraph(args):
|
|||||||
p_line = win.addPlot(row=0, col=0, title="Сырые данные")
|
p_line = win.addPlot(row=0, col=0, title="Сырые данные")
|
||||||
p_line.showGrid(x=True, y=True, alpha=0.3)
|
p_line.showGrid(x=True, y=True, alpha=0.3)
|
||||||
curve = p_line.plot(pen=pg.mkPen((80, 120, 255), width=1))
|
curve = p_line.plot(pen=pg.mkPen((80, 120, 255), width=1))
|
||||||
curve_calib = p_line.plot(pen=pg.mkPen((220, 60, 60), width=1))
|
|
||||||
curve_norm = p_line.plot(pen=pg.mkPen((60, 180, 90), width=1))
|
curve_norm = p_line.plot(pen=pg.mkPen((60, 180, 90), width=1))
|
||||||
p_line.setLabel("bottom", "X")
|
curve_env_lo = p_line.plot(pen=pg.mkPen((255, 165, 0), width=1, style=QtCore.Qt.DashLine))
|
||||||
|
curve_env_hi = p_line.plot(pen=pg.mkPen((255, 165, 0), width=1, style=QtCore.Qt.DashLine))
|
||||||
|
p_line.setLabel("bottom", "Частота, ГГц")
|
||||||
p_line.setLabel("left", "Y")
|
p_line.setLabel("left", "Y")
|
||||||
|
p_line.setXRange(3.323, 14.323, padding=0)
|
||||||
|
p_line.enableAutoRange(axis="x", enable=False)
|
||||||
ch_text = pg.TextItem("", anchor=(1, 1))
|
ch_text = pg.TextItem("", anchor=(1, 1))
|
||||||
ch_text.setZValue(10)
|
ch_text.setZValue(10)
|
||||||
p_line.addItem(ch_text)
|
p_line.addItem(ch_text)
|
||||||
@ -130,7 +159,8 @@ def run_pyqtgraph(args):
|
|||||||
p_img.getAxis("bottom").setStyle(showValues=False)
|
p_img.getAxis("bottom").setStyle(showValues=False)
|
||||||
except Exception:
|
except Exception:
|
||||||
pass
|
pass
|
||||||
p_img.setLabel("left", "X (0 снизу)")
|
p_img.setLabel("left", "Частота, ГГц")
|
||||||
|
p_img.enableAutoRange(enable=False)
|
||||||
img = pg.ImageItem()
|
img = pg.ImageItem()
|
||||||
p_img.addItem(img)
|
p_img.addItem(img)
|
||||||
|
|
||||||
@ -145,8 +175,8 @@ def run_pyqtgraph(args):
|
|||||||
p_fft = win.addPlot(row=1, col=0, title="FFT")
|
p_fft = win.addPlot(row=1, col=0, title="FFT")
|
||||||
p_fft.showGrid(x=True, y=True, alpha=0.3)
|
p_fft.showGrid(x=True, y=True, alpha=0.3)
|
||||||
curve_fft = p_fft.plot(pen=pg.mkPen((255, 120, 80), width=1))
|
curve_fft = p_fft.plot(pen=pg.mkPen((255, 120, 80), width=1))
|
||||||
p_fft.setLabel("bottom", "Бин")
|
p_fft.setLabel("bottom", "Время, нс")
|
||||||
p_fft.setLabel("left", "Амплитуда, дБ")
|
p_fft.setLabel("left", "Мощность, дБ")
|
||||||
|
|
||||||
# Водопад спектров (справа-снизу)
|
# Водопад спектров (справа-снизу)
|
||||||
p_spec = win.addPlot(row=1, col=1, title="B-scan (дБ)")
|
p_spec = win.addPlot(row=1, col=1, title="B-scan (дБ)")
|
||||||
@ -157,16 +187,76 @@ def run_pyqtgraph(args):
|
|||||||
p_spec.getAxis("bottom").setStyle(showValues=False)
|
p_spec.getAxis("bottom").setStyle(showValues=False)
|
||||||
except Exception:
|
except Exception:
|
||||||
pass
|
pass
|
||||||
p_spec.setLabel("left", "Бин (0 снизу)")
|
p_spec.setLabel("left", "Время, нс")
|
||||||
img_fft = pg.ImageItem()
|
img_fft = pg.ImageItem()
|
||||||
p_spec.addItem(img_fft)
|
p_spec.addItem(img_fft)
|
||||||
|
|
||||||
# Чекбокс калибровки
|
# Чекбоксы калибровки — в одном контейнере
|
||||||
|
calib_widget = QtWidgets.QWidget()
|
||||||
|
calib_layout = QtWidgets.QHBoxLayout(calib_widget)
|
||||||
|
calib_layout.setContentsMargins(2, 2, 2, 2)
|
||||||
|
calib_layout.setSpacing(8)
|
||||||
|
|
||||||
calib_cb = QtWidgets.QCheckBox("калибровка")
|
calib_cb = QtWidgets.QCheckBox("калибровка")
|
||||||
cb_proxy = QtWidgets.QGraphicsProxyWidget()
|
calib_file_cb = QtWidgets.QCheckBox("из файла")
|
||||||
cb_proxy.setWidget(calib_cb)
|
calib_file_cb.setEnabled(False) # активируется только если файл существует
|
||||||
win.addItem(cb_proxy, row=2, col=1)
|
|
||||||
calib_cb.stateChanged.connect(lambda _v: state.set_calib_enabled(calib_cb.isChecked()))
|
calib_layout.addWidget(calib_cb)
|
||||||
|
calib_layout.addWidget(calib_file_cb)
|
||||||
|
|
||||||
|
cb_container_proxy = QtWidgets.QGraphicsProxyWidget()
|
||||||
|
cb_container_proxy.setWidget(calib_widget)
|
||||||
|
win.addItem(cb_container_proxy, row=2, col=1)
|
||||||
|
|
||||||
|
def _check_file_cb_available():
|
||||||
|
import os
|
||||||
|
calib_file_cb.setEnabled(os.path.isfile(CALIB_ENVELOPE_PATH))
|
||||||
|
|
||||||
|
_check_file_cb_available()
|
||||||
|
|
||||||
|
def _on_calib_file_toggled(checked):
|
||||||
|
if checked:
|
||||||
|
ok = state.load_calib_envelope(CALIB_ENVELOPE_PATH)
|
||||||
|
if ok:
|
||||||
|
state.set_calib_mode("file")
|
||||||
|
else:
|
||||||
|
calib_file_cb.setChecked(False)
|
||||||
|
else:
|
||||||
|
state.set_calib_mode("live")
|
||||||
|
state.set_calib_enabled(calib_cb.isChecked())
|
||||||
|
|
||||||
|
def _on_calib_toggled(_v):
|
||||||
|
_check_file_cb_available()
|
||||||
|
state.set_calib_enabled(calib_cb.isChecked())
|
||||||
|
|
||||||
|
calib_cb.stateChanged.connect(_on_calib_toggled)
|
||||||
|
calib_file_cb.stateChanged.connect(lambda _v: _on_calib_file_toggled(calib_file_cb.isChecked()))
|
||||||
|
|
||||||
|
# Кнопка сохранения фона + чекбокс вычета фона
|
||||||
|
bg_widget = QtWidgets.QWidget()
|
||||||
|
bg_layout = QtWidgets.QHBoxLayout(bg_widget)
|
||||||
|
bg_layout.setContentsMargins(2, 2, 2, 2)
|
||||||
|
bg_layout.setSpacing(8)
|
||||||
|
|
||||||
|
save_bg_btn = QtWidgets.QPushButton("Сохр. фон")
|
||||||
|
bg_cb = QtWidgets.QCheckBox("вычет фона")
|
||||||
|
bg_cb.setEnabled(False)
|
||||||
|
|
||||||
|
bg_layout.addWidget(save_bg_btn)
|
||||||
|
bg_layout.addWidget(bg_cb)
|
||||||
|
|
||||||
|
bg_container_proxy = QtWidgets.QGraphicsProxyWidget()
|
||||||
|
bg_container_proxy.setWidget(bg_widget)
|
||||||
|
win.addItem(bg_container_proxy, row=2, col=0)
|
||||||
|
|
||||||
|
def _on_save_bg():
|
||||||
|
ok = state.save_background()
|
||||||
|
if ok:
|
||||||
|
state.load_background()
|
||||||
|
bg_cb.setEnabled(True)
|
||||||
|
|
||||||
|
save_bg_btn.clicked.connect(_on_save_bg)
|
||||||
|
bg_cb.stateChanged.connect(lambda _v: state.set_background_enabled(bg_cb.isChecked()))
|
||||||
|
|
||||||
# Статусная строка
|
# Статусная строка
|
||||||
status = pg.LabelItem(justify="left")
|
status = pg.LabelItem(justify="left")
|
||||||
@ -174,16 +264,23 @@ def run_pyqtgraph(args):
|
|||||||
|
|
||||||
_imshow_initialized = [False]
|
_imshow_initialized = [False]
|
||||||
|
|
||||||
|
FREQ_MIN = 3.323
|
||||||
|
FREQ_MAX = 14.323
|
||||||
|
|
||||||
def _init_imshow_extents():
|
def _init_imshow_extents():
|
||||||
w = ring.width
|
|
||||||
ms = ring.max_sweeps
|
ms = ring.max_sweeps
|
||||||
fb = ring.fft_bins
|
fb = ring.fft_bins
|
||||||
img.setImage(ring.ring.T, autoLevels=False)
|
img.setImage(ring.ring.T, autoLevels=False)
|
||||||
p_img.setRange(xRange=(0, ms - 1), yRange=(0, max(1, w - 1)), padding=0)
|
img.setRect(pg.QtCore.QRectF(0.0, FREQ_MIN, float(ms), FREQ_MAX - FREQ_MIN))
|
||||||
p_line.setXRange(0, max(1, w - 1), padding=0)
|
p_img.setRange(xRange=(0, ms - 1), yRange=(FREQ_MIN, FREQ_MAX), padding=0)
|
||||||
|
p_line.setXRange(FREQ_MIN, FREQ_MAX, padding=0)
|
||||||
img_fft.setImage(ring.ring_fft.T, autoLevels=False)
|
img_fft.setImage(ring.ring_fft.T, autoLevels=False)
|
||||||
p_spec.setRange(xRange=(0, ms - 1), yRange=(0, max(1, fb - 1)), padding=0)
|
img_fft.setRect(pg.QtCore.QRectF(0.0, 0.0, float(ms), _IFFT_T_MAX_NS))
|
||||||
p_fft.setXRange(0, max(1, fb - 1), padding=0)
|
p_spec.setRange(xRange=(0, ms - 1), yRange=(0.0, _IFFT_T_MAX_NS), padding=0)
|
||||||
|
p_fft.setXRange(0.0, _IFFT_T_MAX_NS, padding=0)
|
||||||
|
|
||||||
|
def _img_rect(ms: int) -> "pg.QtCore.QRectF":
|
||||||
|
return pg.QtCore.QRectF(0.0, FREQ_MIN, float(ms), FREQ_MAX - FREQ_MIN)
|
||||||
|
|
||||||
def update():
|
def update():
|
||||||
changed = state.drain_queue(q, ring) > 0
|
changed = state.drain_queue(q, ring) > 0
|
||||||
@ -196,29 +293,43 @@ def run_pyqtgraph(args):
|
|||||||
if state.current_sweep_raw is not None and ring.x_shared is not None:
|
if state.current_sweep_raw is not None and ring.x_shared is not None:
|
||||||
raw = state.current_sweep_raw
|
raw = state.current_sweep_raw
|
||||||
xs = ring.x_shared[: raw.size] if raw.size <= ring.x_shared.size else np.arange(raw.size)
|
xs = ring.x_shared[: raw.size] if raw.size <= ring.x_shared.size else np.arange(raw.size)
|
||||||
curve.setData(xs, raw, autoDownsample=True)
|
def _norm_to_max(data):
|
||||||
if state.last_calib_sweep is not None:
|
m = float(np.nanmax(np.abs(data)))
|
||||||
curve_calib.setData(xs[: state.last_calib_sweep.size], state.last_calib_sweep, autoDownsample=True)
|
return data / m if m > 0.0 else data
|
||||||
|
curve.setData(xs, _norm_to_max(raw), autoDownsample=True)
|
||||||
|
if state.calib_mode == "file" and state.calib_file_envelope is not None:
|
||||||
|
upper = state.calib_file_envelope
|
||||||
|
lower = -upper
|
||||||
|
m_env = float(np.nanmax(np.abs(upper)))
|
||||||
|
if m_env <= 0.0:
|
||||||
|
m_env = 1.0
|
||||||
|
curve_env_lo.setData(xs[: upper.size], lower / m_env, autoDownsample=True)
|
||||||
|
curve_env_hi.setData(xs[: upper.size], upper / m_env, autoDownsample=True)
|
||||||
|
elif state.last_calib_sweep is not None:
|
||||||
|
calib = state.last_calib_sweep
|
||||||
|
m_calib = float(np.nanmax(np.abs(calib)))
|
||||||
|
if m_calib <= 0.0:
|
||||||
|
m_calib = 1.0
|
||||||
|
lower, upper = build_calib_envelopes(calib)
|
||||||
|
curve_env_lo.setData(xs[: calib.size], lower / m_calib, autoDownsample=True)
|
||||||
|
curve_env_hi.setData(xs[: calib.size], upper / m_calib, autoDownsample=True)
|
||||||
else:
|
else:
|
||||||
curve_calib.setData([], [])
|
curve_env_lo.setData([], [])
|
||||||
|
curve_env_hi.setData([], [])
|
||||||
if state.current_sweep_norm is not None:
|
if state.current_sweep_norm is not None:
|
||||||
curve_norm.setData(xs[: state.current_sweep_norm.size], state.current_sweep_norm, autoDownsample=True)
|
curve_norm.setData(xs[: state.current_sweep_norm.size], _norm_to_max(state.current_sweep_norm), autoDownsample=True)
|
||||||
else:
|
else:
|
||||||
curve_norm.setData([], [])
|
curve_norm.setData([], [])
|
||||||
if fixed_ylim is None:
|
if fixed_ylim is None:
|
||||||
y0 = float(np.nanmin(raw))
|
p_line.setYRange(-1.05, 1.05, padding=0)
|
||||||
y1 = float(np.nanmax(raw))
|
p_line.setLabel("left", "/ max")
|
||||||
if np.isfinite(y0) and np.isfinite(y1):
|
|
||||||
margin = 0.05 * max(1.0, (y1 - y0))
|
|
||||||
p_line.setYRange(y0 - margin, y1 + margin, padding=0)
|
|
||||||
|
|
||||||
# Спектр — используем уже вычисленный в ring FFT
|
# Спектр — используем уже вычисленный в ring IFFT (временной профиль)
|
||||||
if ring.last_fft_vals is not None and ring.freq_shared is not None:
|
if ring.last_fft_vals is not None and ring.fft_time_axis is not None:
|
||||||
fft_vals = ring.last_fft_vals
|
fft_vals = ring.last_fft_vals
|
||||||
xs_fft = ring.freq_shared
|
xs_fft = ring.fft_time_axis
|
||||||
if fft_vals.size > xs_fft.size:
|
n = min(fft_vals.size, xs_fft.size)
|
||||||
fft_vals = fft_vals[: xs_fft.size]
|
curve_fft.setData(xs_fft[:n], fft_vals[:n])
|
||||||
curve_fft.setData(xs_fft[: fft_vals.size], fft_vals)
|
|
||||||
p_fft.setYRange(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)), padding=0)
|
p_fft.setYRange(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)), padding=0)
|
||||||
|
|
||||||
# Позиция подписи канала
|
# Позиция подписи канала
|
||||||
@ -233,11 +344,12 @@ def run_pyqtgraph(args):
|
|||||||
# Водопад сырых данных — новые данные справа (без реверса)
|
# Водопад сырых данных — новые данные справа (без реверса)
|
||||||
if changed and ring.is_ready:
|
if changed and ring.is_ready:
|
||||||
disp = ring.get_display_ring() # (width, time), новые справа
|
disp = ring.get_display_ring() # (width, time), новые справа
|
||||||
levels = _visible_levels(disp, p_img)
|
levels = _visible_levels(disp, p_img, FREQ_MIN, FREQ_MAX)
|
||||||
if levels is not None:
|
if levels is not None:
|
||||||
img.setImage(disp, autoLevels=False, levels=levels)
|
img.setImage(disp, autoLevels=False, levels=levels)
|
||||||
else:
|
else:
|
||||||
img.setImage(disp, autoLevels=False)
|
img.setImage(disp, autoLevels=False)
|
||||||
|
img.setRect(_img_rect(ring.max_sweeps))
|
||||||
|
|
||||||
# Статус и подпись канала
|
# Статус и подпись канала
|
||||||
if changed and state.current_info:
|
if changed and state.current_info:
|
||||||
@ -256,6 +368,7 @@ def run_pyqtgraph(args):
|
|||||||
img_fft.setImage(disp_fft, autoLevels=False, levels=levels)
|
img_fft.setImage(disp_fft, autoLevels=False, levels=levels)
|
||||||
else:
|
else:
|
||||||
img_fft.setImage(disp_fft, autoLevels=False)
|
img_fft.setImage(disp_fft, autoLevels=False)
|
||||||
|
img_fft.setRect(pg.QtCore.QRectF(0.0, 0.0, float(ring.max_sweeps), _IFFT_T_MAX_NS))
|
||||||
|
|
||||||
timer = pg.QtCore.QTimer()
|
timer = pg.QtCore.QTimer()
|
||||||
timer.timeout.connect(update)
|
timer.timeout.connect(update)
|
||||||
|
|||||||
@ -24,6 +24,7 @@ class SweepReader(threading.Thread):
|
|||||||
out_queue: "Queue[SweepPacket]",
|
out_queue: "Queue[SweepPacket]",
|
||||||
stop_event: threading.Event,
|
stop_event: threading.Event,
|
||||||
fancy: bool = False,
|
fancy: bool = False,
|
||||||
|
bin_mode: bool = False,
|
||||||
):
|
):
|
||||||
super().__init__(daemon=True)
|
super().__init__(daemon=True)
|
||||||
self._port_path = port_path
|
self._port_path = port_path
|
||||||
@ -32,11 +33,17 @@ class SweepReader(threading.Thread):
|
|||||||
self._stop = stop_event
|
self._stop = stop_event
|
||||||
self._src: Optional[SerialLineSource] = None
|
self._src: Optional[SerialLineSource] = None
|
||||||
self._fancy = bool(fancy)
|
self._fancy = bool(fancy)
|
||||||
|
self._bin_mode = bool(bin_mode)
|
||||||
self._max_width: int = 0
|
self._max_width: int = 0
|
||||||
self._sweep_idx: int = 0
|
self._sweep_idx: int = 0
|
||||||
self._last_sweep_ts: Optional[float] = None
|
self._last_sweep_ts: Optional[float] = None
|
||||||
self._n_valid_hist = deque()
|
self._n_valid_hist = deque()
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def _u32_to_i32(v: int) -> int:
|
||||||
|
"""Преобразование 32-bit слова в знаковое значение."""
|
||||||
|
return v - 0x1_0000_0000 if (v & 0x8000_0000) else v
|
||||||
|
|
||||||
def _finalize_current(self, xs, ys, channels: Optional[set]):
|
def _finalize_current(self, xs, ys, channels: Optional[set]):
|
||||||
if not xs:
|
if not xs:
|
||||||
return
|
return
|
||||||
@ -135,11 +142,148 @@ class SweepReader(threading.Thread):
|
|||||||
except Exception:
|
except Exception:
|
||||||
pass
|
pass
|
||||||
|
|
||||||
def run(self):
|
def _run_ascii_stream(self, chunk_reader: SerialChunkReader):
|
||||||
xs: list = []
|
xs: list[int] = []
|
||||||
ys: list = []
|
ys: list[int] = []
|
||||||
cur_channel: Optional[int] = None
|
cur_channel: Optional[int] = None
|
||||||
cur_channels: set = set()
|
cur_channels: set[int] = set()
|
||||||
|
|
||||||
|
buf = bytearray()
|
||||||
|
while not self._stop.is_set():
|
||||||
|
data = chunk_reader.read_available()
|
||||||
|
if data:
|
||||||
|
buf += data
|
||||||
|
else:
|
||||||
|
time.sleep(0.0005)
|
||||||
|
continue
|
||||||
|
|
||||||
|
while True:
|
||||||
|
nl = buf.find(b"\n")
|
||||||
|
if nl == -1:
|
||||||
|
break
|
||||||
|
line = bytes(buf[:nl])
|
||||||
|
del buf[: nl + 1]
|
||||||
|
if line.endswith(b"\r"):
|
||||||
|
line = line[:-1]
|
||||||
|
if not line:
|
||||||
|
continue
|
||||||
|
|
||||||
|
if line.startswith(b"Sweep_start"):
|
||||||
|
self._finalize_current(xs, ys, cur_channels)
|
||||||
|
xs.clear()
|
||||||
|
ys.clear()
|
||||||
|
cur_channel = None
|
||||||
|
cur_channels.clear()
|
||||||
|
continue
|
||||||
|
|
||||||
|
if len(line) >= 3:
|
||||||
|
parts = line.split()
|
||||||
|
if len(parts) >= 3 and (parts[0].lower() == b"s" or parts[0].lower().startswith(b"s")):
|
||||||
|
try:
|
||||||
|
if parts[0].lower() == b"s":
|
||||||
|
if len(parts) >= 4:
|
||||||
|
ch = int(parts[1], 10)
|
||||||
|
x = int(parts[2], 10)
|
||||||
|
y = int(parts[3], 10)
|
||||||
|
else:
|
||||||
|
ch = 0
|
||||||
|
x = int(parts[1], 10)
|
||||||
|
y = int(parts[2], 10)
|
||||||
|
else:
|
||||||
|
ch = int(parts[0][1:], 10)
|
||||||
|
x = int(parts[1], 10)
|
||||||
|
y = int(parts[2], 10)
|
||||||
|
except Exception:
|
||||||
|
continue
|
||||||
|
if cur_channel is None:
|
||||||
|
cur_channel = ch
|
||||||
|
cur_channels.add(ch)
|
||||||
|
xs.append(x)
|
||||||
|
ys.append(y)
|
||||||
|
|
||||||
|
if len(buf) > 1_000_000:
|
||||||
|
del buf[:-262144]
|
||||||
|
|
||||||
|
self._finalize_current(xs, ys, cur_channels)
|
||||||
|
|
||||||
|
def _run_binary_stream(self, chunk_reader: SerialChunkReader):
|
||||||
|
xs: list[int] = []
|
||||||
|
ys: list[int] = []
|
||||||
|
cur_channel: Optional[int] = None
|
||||||
|
cur_channels: set[int] = set()
|
||||||
|
words = deque()
|
||||||
|
|
||||||
|
buf = bytearray()
|
||||||
|
while not self._stop.is_set():
|
||||||
|
data = chunk_reader.read_available()
|
||||||
|
if data:
|
||||||
|
buf += data
|
||||||
|
else:
|
||||||
|
time.sleep(0.0005)
|
||||||
|
continue
|
||||||
|
|
||||||
|
usable = len(buf) & ~1
|
||||||
|
if usable == 0:
|
||||||
|
continue
|
||||||
|
|
||||||
|
i = 0
|
||||||
|
while i < usable:
|
||||||
|
w = int(buf[i]) | (int(buf[i + 1]) << 8)
|
||||||
|
words.append(w)
|
||||||
|
i += 2
|
||||||
|
|
||||||
|
# Бинарный протокол:
|
||||||
|
# старт свипа (актуальный): 0xFFFF, 0xFFFF, 0xFFFF, (ch<<8)|0x0A
|
||||||
|
# старт свипа (legacy): 0xFFFF, 0xFFFF, channel, 0x0A0A
|
||||||
|
# точка: step, value_hi, value_lo, 0x000A
|
||||||
|
while len(words) >= 4:
|
||||||
|
w0 = int(words[0])
|
||||||
|
w1 = int(words[1])
|
||||||
|
w2 = int(words[2])
|
||||||
|
w3 = int(words[3])
|
||||||
|
|
||||||
|
if w0 == 0xFFFF and w1 == 0xFFFF and w2 == 0xFFFF and (w3 & 0x00FF) == 0x000A:
|
||||||
|
self._finalize_current(xs, ys, cur_channels)
|
||||||
|
xs.clear()
|
||||||
|
ys.clear()
|
||||||
|
cur_channels.clear()
|
||||||
|
cur_channel = (w3 >> 8) & 0x00FF
|
||||||
|
cur_channels.add(cur_channel)
|
||||||
|
for _ in range(4):
|
||||||
|
words.popleft()
|
||||||
|
continue
|
||||||
|
|
||||||
|
if w0 == 0xFFFF and w1 == 0xFFFF and w3 == 0x0A0A:
|
||||||
|
self._finalize_current(xs, ys, cur_channels)
|
||||||
|
xs.clear()
|
||||||
|
ys.clear()
|
||||||
|
cur_channels.clear()
|
||||||
|
cur_channel = w2
|
||||||
|
cur_channels.add(cur_channel)
|
||||||
|
for _ in range(4):
|
||||||
|
words.popleft()
|
||||||
|
continue
|
||||||
|
|
||||||
|
if w3 == 0x000A:
|
||||||
|
if cur_channel is not None:
|
||||||
|
cur_channels.add(cur_channel)
|
||||||
|
xs.append(w0)
|
||||||
|
value_u32 = (w1 << 16) | w2
|
||||||
|
ys.append(self._u32_to_i32(value_u32))
|
||||||
|
for _ in range(4):
|
||||||
|
words.popleft()
|
||||||
|
continue
|
||||||
|
|
||||||
|
# Поток может начаться с середины пакета; сдвигаемся по слову до ресинхронизации.
|
||||||
|
words.popleft()
|
||||||
|
|
||||||
|
del buf[:usable]
|
||||||
|
if len(buf) > 1_000_000:
|
||||||
|
del buf[:-262144]
|
||||||
|
|
||||||
|
self._finalize_current(xs, ys, cur_channels)
|
||||||
|
|
||||||
|
def run(self):
|
||||||
|
|
||||||
try:
|
try:
|
||||||
self._src = SerialLineSource(self._port_path, self._baud, timeout=1.0)
|
self._src = SerialLineSource(self._port_path, self._baud, timeout=1.0)
|
||||||
@ -150,66 +294,11 @@ class SweepReader(threading.Thread):
|
|||||||
|
|
||||||
try:
|
try:
|
||||||
chunk_reader = SerialChunkReader(self._src)
|
chunk_reader = SerialChunkReader(self._src)
|
||||||
buf = bytearray()
|
if self._bin_mode:
|
||||||
while not self._stop.is_set():
|
self._run_binary_stream(chunk_reader)
|
||||||
data = chunk_reader.read_available()
|
else:
|
||||||
if data:
|
self._run_ascii_stream(chunk_reader)
|
||||||
buf += data
|
|
||||||
else:
|
|
||||||
time.sleep(0.0005)
|
|
||||||
continue
|
|
||||||
|
|
||||||
while True:
|
|
||||||
nl = buf.find(b"\n")
|
|
||||||
if nl == -1:
|
|
||||||
break
|
|
||||||
line = bytes(buf[:nl])
|
|
||||||
del buf[: nl + 1]
|
|
||||||
if line.endswith(b"\r"):
|
|
||||||
line = line[:-1]
|
|
||||||
if not line:
|
|
||||||
continue
|
|
||||||
|
|
||||||
if line.startswith(b"Sweep_start"):
|
|
||||||
self._finalize_current(xs, ys, cur_channels)
|
|
||||||
xs.clear()
|
|
||||||
ys.clear()
|
|
||||||
cur_channel = None
|
|
||||||
cur_channels.clear()
|
|
||||||
continue
|
|
||||||
|
|
||||||
if len(line) >= 3:
|
|
||||||
parts = line.split()
|
|
||||||
if len(parts) >= 3 and (parts[0].lower() == b"s" or parts[0].lower().startswith(b"s")):
|
|
||||||
try:
|
|
||||||
if parts[0].lower() == b"s":
|
|
||||||
if len(parts) >= 4:
|
|
||||||
ch = int(parts[1], 10)
|
|
||||||
x = int(parts[2], 10)
|
|
||||||
y = int(parts[3], 10)
|
|
||||||
else:
|
|
||||||
ch = 0
|
|
||||||
x = int(parts[1], 10)
|
|
||||||
y = int(parts[2], 10)
|
|
||||||
else:
|
|
||||||
ch = int(parts[0][1:], 10)
|
|
||||||
x = int(parts[1], 10)
|
|
||||||
y = int(parts[2], 10)
|
|
||||||
except Exception:
|
|
||||||
continue
|
|
||||||
if cur_channel is None:
|
|
||||||
cur_channel = ch
|
|
||||||
cur_channels.add(ch)
|
|
||||||
xs.append(x)
|
|
||||||
ys.append(y)
|
|
||||||
|
|
||||||
if len(buf) > 1_000_000:
|
|
||||||
del buf[:-262144]
|
|
||||||
finally:
|
finally:
|
||||||
try:
|
|
||||||
self._finalize_current(xs, ys, cur_channels)
|
|
||||||
except Exception:
|
|
||||||
pass
|
|
||||||
try:
|
try:
|
||||||
if self._src is not None:
|
if self._src is not None:
|
||||||
self._src.close()
|
self._src.close()
|
||||||
|
|||||||
9
rfg_adc_plotter/main.py
Normal file → Executable file
9
rfg_adc_plotter/main.py
Normal file → Executable file
@ -77,6 +77,15 @@ def build_parser() -> argparse.ArgumentParser:
|
|||||||
default="projector",
|
default="projector",
|
||||||
help="Тип нормировки: projector (по огибающим в [-1000,+1000]) или simple (raw/calib)",
|
help="Тип нормировки: projector (по огибающим в [-1000,+1000]) или simple (raw/calib)",
|
||||||
)
|
)
|
||||||
|
parser.add_argument(
|
||||||
|
"--bin",
|
||||||
|
dest="bin_mode",
|
||||||
|
action="store_true",
|
||||||
|
help=(
|
||||||
|
"Бинарный протокол: старт свипа 0xFFFF,0xFFFF,0xFFFF,(CH<<8)|0x0A; "
|
||||||
|
"точки step,uint32(hi16,lo16),0x000A"
|
||||||
|
),
|
||||||
|
)
|
||||||
return parser
|
return parser
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
@ -18,7 +18,11 @@ def normalize_simple(raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
|
|||||||
|
|
||||||
|
|
||||||
def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
|
def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
|
||||||
"""Оценить нижнюю/верхнюю огибающие калибровочной кривой."""
|
"""Оценить огибающую по модулю сигнала.
|
||||||
|
|
||||||
|
Возвращает (lower, upper) = (-envelope, +envelope), где envelope —
|
||||||
|
интерполяция через локальные максимумы |calib|.
|
||||||
|
"""
|
||||||
n = int(calib.size)
|
n = int(calib.size)
|
||||||
if n <= 0:
|
if n <= 0:
|
||||||
empty = np.zeros((0,), dtype=np.float32)
|
empty = np.zeros((0,), dtype=np.float32)
|
||||||
@ -35,11 +39,14 @@ def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
|
|||||||
y = y.copy()
|
y = y.copy()
|
||||||
y[~finite] = np.interp(x[~finite], x[finite], y[finite]).astype(np.float32)
|
y[~finite] = np.interp(x[~finite], x[finite], y[finite]).astype(np.float32)
|
||||||
|
|
||||||
if n < 3:
|
a = np.abs(y)
|
||||||
return y.copy(), y.copy()
|
|
||||||
|
|
||||||
dy = np.diff(y)
|
if n < 3:
|
||||||
s = np.sign(dy).astype(np.int8, copy=False)
|
env = a.copy()
|
||||||
|
return -env, env
|
||||||
|
|
||||||
|
da = np.diff(a)
|
||||||
|
s = np.sign(da).astype(np.int8, copy=False)
|
||||||
|
|
||||||
if np.any(s == 0):
|
if np.any(s == 0):
|
||||||
for i in range(1, s.size):
|
for i in range(1, s.size):
|
||||||
@ -51,27 +58,16 @@ def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
|
|||||||
s[s == 0] = 1
|
s[s == 0] = 1
|
||||||
|
|
||||||
max_idx = np.where((s[:-1] > 0) & (s[1:] < 0))[0] + 1
|
max_idx = np.where((s[:-1] > 0) & (s[1:] < 0))[0] + 1
|
||||||
min_idx = np.where((s[:-1] < 0) & (s[1:] > 0))[0] + 1
|
|
||||||
|
|
||||||
x = np.arange(n, dtype=np.float32)
|
x = np.arange(n, dtype=np.float32)
|
||||||
|
|
||||||
def _interp_nodes(nodes: np.ndarray) -> np.ndarray:
|
if max_idx.size == 0:
|
||||||
if nodes.size == 0:
|
idx = np.array([0, n - 1], dtype=np.int64)
|
||||||
idx = np.array([0, n - 1], dtype=np.int64)
|
else:
|
||||||
else:
|
idx = np.unique(np.concatenate(([0], max_idx, [n - 1]))).astype(np.int64)
|
||||||
idx = np.unique(np.concatenate(([0], nodes, [n - 1]))).astype(np.int64)
|
env = np.interp(x, idx.astype(np.float32), a[idx]).astype(np.float32)
|
||||||
return np.interp(x, idx.astype(np.float32), y[idx]).astype(np.float32)
|
|
||||||
|
|
||||||
upper = _interp_nodes(max_idx)
|
return -env, env
|
||||||
lower = _interp_nodes(min_idx)
|
|
||||||
|
|
||||||
swap = lower > upper
|
|
||||||
if np.any(swap):
|
|
||||||
tmp = upper[swap].copy()
|
|
||||||
upper[swap] = lower[swap]
|
|
||||||
lower[swap] = tmp
|
|
||||||
|
|
||||||
return lower, upper
|
|
||||||
|
|
||||||
|
|
||||||
def normalize_projector(raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
|
def normalize_projector(raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
|
||||||
@ -113,3 +109,41 @@ def normalize_by_calib(raw: np.ndarray, calib: np.ndarray, norm_type: str) -> np
|
|||||||
if nt == "simple":
|
if nt == "simple":
|
||||||
return normalize_simple(raw, calib)
|
return normalize_simple(raw, calib)
|
||||||
return normalize_projector(raw, calib)
|
return normalize_projector(raw, calib)
|
||||||
|
|
||||||
|
|
||||||
|
def normalize_by_envelope(raw: np.ndarray, envelope: np.ndarray) -> np.ndarray:
|
||||||
|
"""Нормировка свипа через проекцию на огибающую из файла.
|
||||||
|
|
||||||
|
Воспроизводит логику normalize_projector: проецирует raw в [-1000, +1000]
|
||||||
|
используя готовую верхнюю огибающую (upper = envelope, lower = -envelope).
|
||||||
|
"""
|
||||||
|
w = min(raw.size, envelope.size)
|
||||||
|
if w <= 0:
|
||||||
|
return raw
|
||||||
|
|
||||||
|
out = np.full_like(raw, np.nan, dtype=np.float32)
|
||||||
|
raw_seg = np.asarray(raw[:w], dtype=np.float32)
|
||||||
|
upper = np.asarray(envelope[:w], dtype=np.float32)
|
||||||
|
lower = -upper
|
||||||
|
span = upper - lower # = 2 * upper
|
||||||
|
|
||||||
|
finite_span = span[np.isfinite(span) & (span > 0)]
|
||||||
|
if finite_span.size > 0:
|
||||||
|
eps = max(float(np.median(finite_span)) * 1e-6, 1e-9)
|
||||||
|
else:
|
||||||
|
eps = 1e-9
|
||||||
|
|
||||||
|
valid = (
|
||||||
|
np.isfinite(raw_seg)
|
||||||
|
& np.isfinite(lower)
|
||||||
|
& np.isfinite(upper)
|
||||||
|
& (span > eps)
|
||||||
|
)
|
||||||
|
if np.any(valid):
|
||||||
|
proj = np.empty_like(raw_seg, dtype=np.float32)
|
||||||
|
proj[valid] = ((2.0 * (raw_seg[valid] - lower[valid]) / span[valid]) - 1.0) * 1000.0
|
||||||
|
proj[valid] = np.clip(proj[valid], -1000.0, 1000.0)
|
||||||
|
proj[~valid] = np.nan
|
||||||
|
out[:w] = proj
|
||||||
|
|
||||||
|
return out
|
||||||
|
|||||||
@ -1,14 +1,22 @@
|
|||||||
"""Состояние приложения: текущие свипы и настройки калибровки/нормировки."""
|
"""Состояние приложения: текущие свипы и настройки калибровки/нормировки."""
|
||||||
|
|
||||||
|
import os
|
||||||
from queue import Empty, Queue
|
from queue import Empty, Queue
|
||||||
from typing import Any, Dict, Mapping, Optional
|
from typing import Any, Dict, Mapping, Optional
|
||||||
|
|
||||||
import numpy as np
|
import numpy as np
|
||||||
|
|
||||||
from rfg_adc_plotter.processing.normalizer import normalize_by_calib
|
from rfg_adc_plotter.processing.normalizer import (
|
||||||
|
build_calib_envelopes,
|
||||||
|
normalize_by_calib,
|
||||||
|
normalize_by_envelope,
|
||||||
|
)
|
||||||
from rfg_adc_plotter.state.ring_buffer import RingBuffer
|
from rfg_adc_plotter.state.ring_buffer import RingBuffer
|
||||||
from rfg_adc_plotter.types import SweepInfo, SweepPacket
|
from rfg_adc_plotter.types import SweepInfo, SweepPacket
|
||||||
|
|
||||||
|
CALIB_ENVELOPE_PATH = "calib_envelope.npy"
|
||||||
|
BACKGROUND_PATH = "background.npy"
|
||||||
|
|
||||||
|
|
||||||
def format_status(data: Mapping[str, Any]) -> str:
|
def format_status(data: Mapping[str, Any]) -> str:
|
||||||
"""Преобразовать словарь метрик в одну строку 'k:v'."""
|
"""Преобразовать словарь метрик в одну строку 'k:v'."""
|
||||||
@ -44,21 +52,106 @@ class AppState:
|
|||||||
self.current_info: Optional[SweepInfo] = None
|
self.current_info: Optional[SweepInfo] = None
|
||||||
self.calib_enabled: bool = False
|
self.calib_enabled: bool = False
|
||||||
self.norm_type: str = norm_type
|
self.norm_type: str = norm_type
|
||||||
|
# "live" — нормировка по текущему ch0-свипу; "file" — по огибающей из файла
|
||||||
|
self.calib_mode: str = "live"
|
||||||
|
self.calib_file_envelope: Optional[np.ndarray] = None
|
||||||
|
# Вычет фона
|
||||||
|
self.background: Optional[np.ndarray] = None
|
||||||
|
self.background_enabled: bool = False
|
||||||
|
self._last_sweep_for_ring: Optional[np.ndarray] = None
|
||||||
|
|
||||||
def _normalize(self, raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
|
def _normalize(self, raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
|
||||||
|
if self.calib_mode == "file" and self.calib_file_envelope is not None:
|
||||||
|
return normalize_by_envelope(raw, self.calib_file_envelope)
|
||||||
return normalize_by_calib(raw, calib, self.norm_type)
|
return normalize_by_calib(raw, calib, self.norm_type)
|
||||||
|
|
||||||
|
def save_calib_envelope(self, path: str = CALIB_ENVELOPE_PATH) -> bool:
|
||||||
|
"""Вычислить огибающую из last_calib_sweep и сохранить в файл.
|
||||||
|
|
||||||
|
Возвращает True при успехе.
|
||||||
|
"""
|
||||||
|
if self.last_calib_sweep is None:
|
||||||
|
return False
|
||||||
|
try:
|
||||||
|
_lower, upper = build_calib_envelopes(self.last_calib_sweep)
|
||||||
|
np.save(path, upper)
|
||||||
|
return True
|
||||||
|
except Exception as exc:
|
||||||
|
import sys
|
||||||
|
sys.stderr.write(f"[warn] Не удалось сохранить огибающую: {exc}\n")
|
||||||
|
return False
|
||||||
|
|
||||||
|
def load_calib_envelope(self, path: str = CALIB_ENVELOPE_PATH) -> bool:
|
||||||
|
"""Загрузить огибающую из файла.
|
||||||
|
|
||||||
|
Возвращает True при успехе.
|
||||||
|
"""
|
||||||
|
if not os.path.isfile(path):
|
||||||
|
return False
|
||||||
|
try:
|
||||||
|
env = np.load(path)
|
||||||
|
self.calib_file_envelope = np.asarray(env, dtype=np.float32)
|
||||||
|
return True
|
||||||
|
except Exception as exc:
|
||||||
|
import sys
|
||||||
|
sys.stderr.write(f"[warn] Не удалось загрузить огибающую: {exc}\n")
|
||||||
|
return False
|
||||||
|
|
||||||
|
def set_calib_mode(self, mode: str):
|
||||||
|
"""Переключить режим калибровки: 'live' или 'file'."""
|
||||||
|
self.calib_mode = mode
|
||||||
|
|
||||||
|
def save_background(self, path: str = BACKGROUND_PATH) -> bool:
|
||||||
|
"""Сохранить текущий sweep_for_ring как фоновый спектр.
|
||||||
|
|
||||||
|
Сохраняет последний свип, который был записан в ринг-буфер
|
||||||
|
(нормированный, если калибровка включена, иначе сырой).
|
||||||
|
Возвращает True при успехе.
|
||||||
|
"""
|
||||||
|
if self._last_sweep_for_ring is None:
|
||||||
|
return False
|
||||||
|
try:
|
||||||
|
np.save(path, self._last_sweep_for_ring)
|
||||||
|
return True
|
||||||
|
except Exception as exc:
|
||||||
|
import sys
|
||||||
|
sys.stderr.write(f"[warn] Не удалось сохранить фон: {exc}\n")
|
||||||
|
return False
|
||||||
|
|
||||||
|
def load_background(self, path: str = BACKGROUND_PATH) -> bool:
|
||||||
|
"""Загрузить фоновый спектр из файла.
|
||||||
|
|
||||||
|
Возвращает True при успехе.
|
||||||
|
"""
|
||||||
|
if not os.path.isfile(path):
|
||||||
|
return False
|
||||||
|
try:
|
||||||
|
bg = np.load(path)
|
||||||
|
self.background = np.asarray(bg, dtype=np.float32)
|
||||||
|
return True
|
||||||
|
except Exception as exc:
|
||||||
|
import sys
|
||||||
|
sys.stderr.write(f"[warn] Не удалось загрузить фон: {exc}\n")
|
||||||
|
return False
|
||||||
|
|
||||||
|
def set_background_enabled(self, enabled: bool):
|
||||||
|
"""Включить/выключить вычет фона."""
|
||||||
|
self.background_enabled = enabled
|
||||||
|
|
||||||
def set_calib_enabled(self, enabled: bool):
|
def set_calib_enabled(self, enabled: bool):
|
||||||
"""Включить/выключить режим калибровки, пересчитать norm-свип."""
|
"""Включить/выключить режим калибровки, пересчитать norm-свип."""
|
||||||
self.calib_enabled = enabled
|
self.calib_enabled = enabled
|
||||||
if (
|
if self.calib_enabled and self.current_sweep_raw is not None:
|
||||||
self.calib_enabled
|
if self.calib_mode == "file" and self.calib_file_envelope is not None:
|
||||||
and self.current_sweep_raw is not None
|
self.current_sweep_norm = normalize_by_envelope(
|
||||||
and self.last_calib_sweep is not None
|
self.current_sweep_raw, self.calib_file_envelope
|
||||||
):
|
)
|
||||||
self.current_sweep_norm = self._normalize(
|
elif self.calib_mode == "live" and self.last_calib_sweep is not None:
|
||||||
self.current_sweep_raw, self.last_calib_sweep
|
self.current_sweep_norm = self._normalize(
|
||||||
)
|
self.current_sweep_raw, self.last_calib_sweep
|
||||||
|
)
|
||||||
|
else:
|
||||||
|
self.current_sweep_norm = None
|
||||||
else:
|
else:
|
||||||
self.current_sweep_norm = None
|
self.current_sweep_norm = None
|
||||||
|
|
||||||
@ -86,16 +179,31 @@ class AppState:
|
|||||||
# Канал 0 — опорный (калибровочный) свип
|
# Канал 0 — опорный (калибровочный) свип
|
||||||
if ch == 0:
|
if ch == 0:
|
||||||
self.last_calib_sweep = s
|
self.last_calib_sweep = s
|
||||||
|
self.save_calib_envelope()
|
||||||
self.current_sweep_norm = None
|
self.current_sweep_norm = None
|
||||||
sweep_for_ring = s
|
sweep_for_ring = s
|
||||||
|
self._last_sweep_for_ring = sweep_for_ring
|
||||||
else:
|
else:
|
||||||
if self.calib_enabled and self.last_calib_sweep is not None:
|
can_normalize = self.calib_enabled and (
|
||||||
self.current_sweep_norm = self._normalize(s, self.last_calib_sweep)
|
(self.calib_mode == "file" and self.calib_file_envelope is not None)
|
||||||
|
or (self.calib_mode == "live" and self.last_calib_sweep is not None)
|
||||||
|
)
|
||||||
|
if can_normalize:
|
||||||
|
calib_ref = self.last_calib_sweep if self.last_calib_sweep is not None else s
|
||||||
|
self.current_sweep_norm = self._normalize(s, calib_ref)
|
||||||
sweep_for_ring = self.current_sweep_norm
|
sweep_for_ring = self.current_sweep_norm
|
||||||
else:
|
else:
|
||||||
self.current_sweep_norm = None
|
self.current_sweep_norm = None
|
||||||
sweep_for_ring = s
|
sweep_for_ring = s
|
||||||
|
|
||||||
|
# Вычет фона (в том же домене что и sweep_for_ring)
|
||||||
|
if self.background_enabled and self.background is not None and ch != 0:
|
||||||
|
w = min(sweep_for_ring.size, self.background.size)
|
||||||
|
sweep_for_ring = sweep_for_ring.copy()
|
||||||
|
sweep_for_ring[:w] -= self.background[:w]
|
||||||
|
self.current_sweep_norm = sweep_for_ring
|
||||||
|
|
||||||
|
self._last_sweep_for_ring = sweep_for_ring
|
||||||
ring.ensure_init(s.size)
|
ring.ensure_init(s.size)
|
||||||
ring.push(sweep_for_ring)
|
ring.push(sweep_for_ring)
|
||||||
return drained
|
return drained
|
||||||
|
|||||||
@ -5,7 +5,15 @@ from typing import Optional, Tuple
|
|||||||
|
|
||||||
import numpy as np
|
import numpy as np
|
||||||
|
|
||||||
from rfg_adc_plotter.constants import FFT_LEN, WF_WIDTH
|
from rfg_adc_plotter.constants import (
|
||||||
|
FFT_LEN,
|
||||||
|
FREQ_SPAN_GHZ,
|
||||||
|
IFFT_LEN,
|
||||||
|
SWEEP_LEN,
|
||||||
|
WF_WIDTH,
|
||||||
|
ZEROS_LOW,
|
||||||
|
ZEROS_MID,
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
class RingBuffer:
|
class RingBuffer:
|
||||||
@ -17,7 +25,7 @@ class RingBuffer:
|
|||||||
|
|
||||||
def __init__(self, max_sweeps: int):
|
def __init__(self, max_sweeps: int):
|
||||||
self.max_sweeps = max_sweeps
|
self.max_sweeps = max_sweeps
|
||||||
self.fft_bins = FFT_LEN // 2 + 1
|
self.fft_bins = IFFT_LEN # = 1953 (полная длина IFFT-результата)
|
||||||
|
|
||||||
# Инициализируются при первом свипе (ensure_init)
|
# Инициализируются при первом свипе (ensure_init)
|
||||||
self.ring: Optional[np.ndarray] = None # (max_sweeps, WF_WIDTH)
|
self.ring: Optional[np.ndarray] = None # (max_sweeps, WF_WIDTH)
|
||||||
@ -26,7 +34,7 @@ class RingBuffer:
|
|||||||
self.head: int = 0
|
self.head: int = 0
|
||||||
self.width: Optional[int] = None
|
self.width: Optional[int] = None
|
||||||
self.x_shared: Optional[np.ndarray] = None
|
self.x_shared: Optional[np.ndarray] = None
|
||||||
self.freq_shared: Optional[np.ndarray] = None
|
self.fft_time_axis: Optional[np.ndarray] = None # временная ось IFFT в нс
|
||||||
self.y_min_fft: Optional[float] = None
|
self.y_min_fft: Optional[float] = None
|
||||||
self.y_max_fft: Optional[float] = None
|
self.y_max_fft: Optional[float] = None
|
||||||
# FFT последнего свипа (для отображения без повторного вычисления)
|
# FFT последнего свипа (для отображения без повторного вычисления)
|
||||||
@ -37,16 +45,20 @@ class RingBuffer:
|
|||||||
return self.ring is not None
|
return self.ring is not None
|
||||||
|
|
||||||
def ensure_init(self, sweep_width: int):
|
def ensure_init(self, sweep_width: int):
|
||||||
"""Инициализировать буферы при первом свипе. Повторные вызовы — no-op."""
|
"""Инициализировать буферы при первом свипе. Повторные вызовы — no-op (кроме x_shared)."""
|
||||||
if self.ring is not None:
|
if self.ring is None:
|
||||||
return
|
self.width = WF_WIDTH
|
||||||
self.width = WF_WIDTH
|
self.ring = np.full((self.max_sweeps, self.width), np.nan, dtype=np.float32)
|
||||||
self.x_shared = np.arange(self.width, dtype=np.int32)
|
self.ring_time = np.full((self.max_sweeps,), np.nan, dtype=np.float64)
|
||||||
self.ring = np.full((self.max_sweeps, self.width), np.nan, dtype=np.float32)
|
self.ring_fft = np.full((self.max_sweeps, self.fft_bins), np.nan, dtype=np.float32)
|
||||||
self.ring_time = np.full((self.max_sweeps,), np.nan, dtype=np.float64)
|
# Временная ось IFFT: шаг dt = 1/(FREQ_SPAN_GHZ*1e9), переведём в нс
|
||||||
self.ring_fft = np.full((self.max_sweeps, self.fft_bins), np.nan, dtype=np.float32)
|
self.fft_time_axis = (
|
||||||
self.freq_shared = np.arange(self.fft_bins, dtype=np.int32)
|
np.arange(IFFT_LEN, dtype=np.float64) / (FREQ_SPAN_GHZ * 1e9) * 1e9
|
||||||
self.head = 0
|
).astype(np.float32)
|
||||||
|
self.head = 0
|
||||||
|
# Обновляем x_shared если пришёл свип большего размера
|
||||||
|
if self.x_shared is None or sweep_width > self.x_shared.size:
|
||||||
|
self.x_shared = np.linspace(3.323, 14.323, sweep_width, dtype=np.float32)
|
||||||
|
|
||||||
def push(self, s: np.ndarray):
|
def push(self, s: np.ndarray):
|
||||||
"""Добавить строку свипа в кольцевой буфер, вычислить FFT-строку."""
|
"""Добавить строку свипа в кольцевой буфер, вычислить FFT-строку."""
|
||||||
@ -63,20 +75,29 @@ class RingBuffer:
|
|||||||
self._push_fft(s)
|
self._push_fft(s)
|
||||||
|
|
||||||
def _push_fft(self, s: np.ndarray):
|
def _push_fft(self, s: np.ndarray):
|
||||||
bins = self.ring_fft.shape[1]
|
bins = self.ring_fft.shape[1] # = IFFT_LEN = 1953
|
||||||
take_fft = min(int(s.size), FFT_LEN)
|
if s is None or s.size == 0:
|
||||||
if take_fft <= 0:
|
|
||||||
fft_row = np.full((bins,), np.nan, dtype=np.float32)
|
fft_row = np.full((bins,), np.nan, dtype=np.float32)
|
||||||
else:
|
else:
|
||||||
fft_in = np.zeros((FFT_LEN,), dtype=np.float32)
|
# 1. Взять первые SWEEP_LEN отсчётов (остаток — нули если свип короче)
|
||||||
seg = np.nan_to_num(s[:take_fft], nan=0.0).astype(np.float32, copy=False)
|
sig = np.zeros(SWEEP_LEN, dtype=np.float32)
|
||||||
win = np.hanning(take_fft).astype(np.float32)
|
take = min(int(s.size), SWEEP_LEN)
|
||||||
fft_in[:take_fft] = seg * win
|
seg = np.nan_to_num(s[:take], nan=0.0).astype(np.float32, copy=False)
|
||||||
spec = np.fft.rfft(fft_in)
|
sig[:take] = seg
|
||||||
mag = np.abs(spec).astype(np.float32)
|
|
||||||
|
# 2. Собрать двусторонний спектр:
|
||||||
|
# [ZEROS_LOW нулей | ZEROS_MID нулей | SWEEP_LEN данных]
|
||||||
|
# = [-14.3..-3.2 ГГц | -3.2..+3.2 ГГц | +3.2..+14.3 ГГц]
|
||||||
|
data = np.zeros(IFFT_LEN, dtype=np.complex64)
|
||||||
|
data[ZEROS_LOW + ZEROS_MID:] = sig
|
||||||
|
|
||||||
|
# 3. ifftshift + ifft → временной профиль
|
||||||
|
spec = np.fft.ifftshift(data)
|
||||||
|
result = np.fft.ifft(spec)
|
||||||
|
|
||||||
|
# 4. Амплитуда в дБ
|
||||||
|
mag = np.abs(result).astype(np.float32)
|
||||||
fft_row = (20.0 * np.log10(mag + 1e-9)).astype(np.float32)
|
fft_row = (20.0 * np.log10(mag + 1e-9)).astype(np.float32)
|
||||||
if fft_row.shape[0] != bins:
|
|
||||||
fft_row = fft_row[:bins]
|
|
||||||
|
|
||||||
prev_head = (self.head - 1) % self.ring_fft.shape[0]
|
prev_head = (self.head - 1) % self.ring_fft.shape[0]
|
||||||
self.ring_fft[prev_head, :] = fft_row
|
self.ring_fft[prev_head, :] = fft_row
|
||||||
|
|||||||
2
run_dataplotter
Executable file
2
run_dataplotter
Executable file
@ -0,0 +1,2 @@
|
|||||||
|
#!/usr/bin/bash
|
||||||
|
python3 -m rfg_adc_plotter.main --bin --backend mpl $@
|
||||||
Reference in New Issue
Block a user