Merge pull request #1842 from PaintYourDragon/main

Add EyeLights audio spectrum

Author: ladyada

EyeLights_Audio_Spectrum/code.py

@@ -0,0 +1,174 @@
+"""
+AUDIO SPECTRUM LIGHT SHOW for Adafruit EyeLights (LED Glasses + Driver).
+Uses onboard microphone and a lot of math to react to music.
+"""
+
+from array import array
+from math import log
+from time import monotonic
+from supervisor import reload
+import board
+from audiobusio import PDMIn
+from busio import I2C
+import adafruit_is31fl3741
+from adafruit_is31fl3741.adafruit_ledglasses import LED_Glasses
+from rainbowio import colorwheel
+from ulab import numpy as np
+from ulab.scipy.signal import spectrogram
+
+
+# FFT/SPECTRUM CONFIG ----
+
+fft_size = 256  # Sample size for Fourier transform, MUST be power of two
+spectrum_size = fft_size // 2  # Output spectrum is 1/2 of FFT result
+# Bottom of spectrum tends to be noisy, while top often exceeds musical
+# range and is just harmonics, so clip both ends off:
+low_bin = 10  # Lowest bin of spectrum that contributes to graph
+high_bin = 75  # Highest bin "
+
+
+# HARDWARE SETUP ---------
+
+# Manually declare I2C (not board.I2C() directly) to access 1 MHz speed...
+i2c = I2C(board.SCL, board.SDA, frequency=1000000)
+
+# Initialize the IS31 LED driver, buffered for smoother animation
+glasses = LED_Glasses(i2c, allocate=adafruit_is31fl3741.MUST_BUFFER)
+glasses.show()  # Clear any residue on startup
+glasses.global_current = 5  # Not too bright please
+
+# Initialize mic and allocate recording buffer (default rate is 16 MHz)
+mic = PDMIn(board.MICROPHONE_CLOCK, board.MICROPHONE_DATA, bit_depth=16)
+rec_buf = array("H", [0] * fft_size)  # 16-bit audio samples
+
+
+# FFT/SPECTRUM SETUP -----
+
+# To keep the display lively, tables are precomputed where each column of
+# the matrix (of which there are few) is the sum value and weighting of
+# several bins from the FFT spectrum output (of which there are many).
+# The tables also help visually linearize the output so octaves are evenly
+# spaced, as on a piano keyboard, whereas the source spectrum data is
+# spaced by frequency in Hz.
+column_table = []
+
+spectrum_bits = log(spectrum_size, 2)  # e.g. 7 for 128-bin spectrum
+# Scale low_bin and high_bin to 0.0 to 1.0 equivalent range in spectrum
+low_frac = log(low_bin, 2) / spectrum_bits
+frac_range = log(high_bin, 2) / spectrum_bits - low_frac
+
+for column in range(glasses.width):
+    # Determine the lower and upper frequency range for this column, as
+    # fractions within the scaled 0.0 to 1.0 spectrum range. 0.95 below
+    # creates slight frequency overlap between columns, looks nicer.
+    lower = low_frac + frac_range * (column / glasses.width * 0.95)
+    upper = low_frac + frac_range * ((column + 1) / glasses.width)
+    mid = (lower + upper) * 0.5  # Center of lower-to-upper range
+    half_width = (upper - lower) * 0.5  # 1/2 of lower-to-upper range
+    # Map fractions back to spectrum bin indices that contribute to column
+    first_bin = int(2 ** (spectrum_bits * lower) + 1e-4)
+    last_bin = int(2 ** (spectrum_bits * upper) + 1e-4)
+    bin_weights = []  # Each spectrum bin's weighting will be added here
+    for bin_index in range(first_bin, last_bin + 1):
+        # Find distance from column's overall center to individual bin's
+        # center, expressed as 0.0 (bin at center) to 1.0 (bin at limit of
+        # lower-to-upper range).
+        bin_center = log(bin_index + 0.5, 2) / spectrum_bits
+        dist = abs(bin_center - mid) / half_width
+        if dist < 1.0:  # Filter out a few math stragglers at either end
+            # Bin weights have a cubic falloff curve within range:
+            dist = 1.0 - dist  # Invert dist so 1.0 is at center
+            bin_weights.append(((3.0 - (dist * 2.0)) * dist) * dist)
+    # Scale bin weights so total is 1.0 for each column, but then mute
+    # lower columns slightly and boost higher columns. It graphs better.
+    total = sum(bin_weights)
+    bin_weights = [
+        (weight / total) * (0.8 + idx / glasses.width * 1.4)
+        for idx, weight in enumerate(bin_weights)
+    ]
+    # List w/five elements is stored for each column:
+    # 0: Index of the first spectrum bin that impacts this column.
+    # 1: A list of bin weights, starting from index above, length varies.
+    # 2: Color for drawing this column on the LED matrix. The 225 is on
+    #    purpose, providing hues from red to purple, leaving out magenta.
+    # 3: Current height of the 'falling dot', updated each frame
+    # 4: Current velocity of the 'falling dot', updated each frame
+    column_table.append(
+        [
+            first_bin - low_bin,
+            bin_weights,
+            colorwheel(225 * column / glasses.width),
+            glasses.height,
+            0.0,
+        ]
+    )
+# print(column_table)
+
+
+# MAIN LOOP -------------
+
+dynamic_level = 10  # For responding to changing volume levels
+frames, start_time = 0, monotonic()  # For frames-per-second calc
+
+while True:
+    # The try/except here is because VERY INFREQUENTLY the I2C bus will
+    # encounter an error when accessing the LED driver, whether from bumping
+    # around the wires or sometimes an I2C device just gets wedged. To more
+    # robustly handle the latter, the code will restart if that happens.
+    try:
+        mic.record(rec_buf, fft_size)  # Record batch of 16-bit samples
+        samples = np.array(rec_buf)  # Convert to ndarray
+        # Compute spectrogram and trim results. Only the left half is
+        # normally needed (right half is mirrored), but we trim further as
+        # only the low_bin to high_bin elements are interesting to graph.
+        spectrum = spectrogram(samples)[low_bin : high_bin + 1]
+        # Linearize spectrum output. spectrogram() is always nonnegative,
+        # but add a tiny value to change any zeros to nonzero numbers
+        # (avoids rare 'inf' error)
+        spectrum = np.log(spectrum + 1e-7)
+        # Determine minimum & maximum across all spectrum bins, with limits
+        lower = max(np.min(spectrum), 4)
+        upper = min(max(np.max(spectrum), lower + 6), 20)
+
+        # Adjust dynamic level to current spectrum output, keeps the graph
+        # 'lively' as ambient volume changes. Sparkle but don't saturate.
+        if upper > dynamic_level:
+            # Got louder. Move level up quickly but allow initial "bump."
+            dynamic_level = upper * 0.7 + dynamic_level * 0.3
+        else:
+            # Got quieter. Ease level down, else too many bumps.
+            dynamic_level = dynamic_level * 0.5 + lower * 0.5
+
+        # Apply vertical scale to spectrum data. Results may exceed
+        # matrix height...that's OK, adds impact!
+        data = (spectrum - lower) * (7 / (dynamic_level - lower))
+
+        for column, element in enumerate(column_table):
+            # Start BELOW matrix and accumulate bin weights UP, saves math
+            first_bin = element[0]
+            column_top = glasses.height + 1
+            for bin_offset, weight in enumerate(element[1]):
+                column_top -= data[first_bin + bin_offset] * weight
+
+            if column_top < element[3]:  #       Above current falling dot?
+                element[3] = column_top - 0.5  # Move dot up
+                element[4] = 0  #                and clear out velocity
+            else:
+                element[3] += element[4]  #      Move dot down
+                element[4] += 0.2  #             and accelerate
+
+            column_top = int(column_top)  #      Quantize to pixel space
+            for row in range(column_top):  #     Erase area above column
+                glasses.pixel(column, row, 0)
+            for row in range(column_top, 5):  #  Draw column
+                glasses.pixel(column, row, element[2])
+            glasses.pixel(column, int(element[3]), 0xE08080)  # Draw peak dot
+
+        glasses.show()  # Buffered mode MUST use show() to refresh matrix
+
+        frames += 1
+        # print(frames / (monotonic() - start_time), "FPS")
+
+    except OSError:  # See "try" notes above regarding rare I2C errors.
+        print("Restarting")
+        reload()