Plotting amplitude graphs, adjusted box slopes

Author: trevor.stout

batbot/__init__.py

@@ -68,6 +68,7 @@ def pipeline(
     fast_mode=False,
     force_overwrite=False,
     quiet=False,
+    plot_uncompressed_amplitude=False,
     debug=False,
 ):
     """
@@ -107,6 +108,7 @@ def pipeline(
         fast_mode=fast_mode,
         force_overwrite=force_overwrite,
         quiet=quiet,
+        plot_uncompressed_amplitude=plot_uncompressed_amplitude,
         debug=debug,
     )
 
@@ -301,7 +303,7 @@ def example():
     output_stem = join('output', splitext(basename(wav_filepath))[0])
     start_time = time.time()
     results = pipeline(
-        wav_filepath, out_file_stem=output_stem, fast_mode=False, force_overwrite=True
+        wav_filepath, out_file_stem=output_stem, fast_mode=False, force_overwrite=True, plot_uncompressed_amplitude=True,
     )
     stop_time = time.time()
     print('Example pipeline completed in {} seconds.'.format(stop_time - start_time))

batbot/spectrogram/__init__.py

@@ -280,7 +280,7 @@ def load_stft(
     stft_db = 10 * np.log10(abs_sq_stft / abs_sq_stft.max() + 1e-20)
     # Retrieve time vector in seconds corresponding to STFT
     time_vec = librosa.frames_to_time(
-        range(stft_db.shape[1]), sr=sr, hop_length=hop_length, n_fft=n_fft
+        range(stft_db.shape[1]), sr=sr, hop_length=hop_length, n_fft=win_length
     )
 
     # Remove frequencies that we do not need [FREQ_MIN - FREQ_MAX]
@@ -1113,10 +1113,9 @@ def extract_contour_keypoints(
             'slope/hi[avg].y_px/x_px': float(np.mean(der1[: knee_idx + 1])),
             'slope/mid[avg].y_px/x_px': float(np.mean(der1[knee_idx : heel_idx + 1])),
             'slope/lo[avg].y_px/x_px': float(np.mean(der1[heel_idx:])),
-            'slope[box].y_px/x_px': float(0.5 * (der1[0] + der1[-1])),
-            'slope/hi[box].y_px/x_px': float(0.5 * (der1[0] + der1[knee_idx])),
-            'slope/mid[box].y_px/x_px': float(0.5 * (der1[knee_idx] + der1[heel_idx])),
-            'slope/lo[box].y_px/x_px': float(0.5 * (der1[heel_idx] + der1[-1])),
+            'slope[box].y_px/x_px': -float((y_[-1] - y_[0]) / (x_[-1] - x_[0] + 1e-10)),
+            'slope/hi[box].y_px/x_px': -float((y_[fc_idx] - y_[0]) / (x_[fc_idx] - x_[0] + 1e-10)),
+            'slope/lo[box].y_px/x_px': -float((y_[-1] - y_[fc_idx]) / (x_[-1] - x_[fc_idx] + 1e-10)),
         }
 
     return path_, points, slopes
@@ -1405,6 +1404,7 @@ def compute_wrapper(
     annotations=None,
     bitdepth=16,
     mask_secondary_effects=False,
+    plot_uncompressed_amplitude=False,
     debug=False,
     **kwargs,
 ):
@@ -1843,12 +1843,20 @@ def compute_wrapper(
         datas = [
             (output_paths, 'jpg', stft_db),
         ]
+    if plot_uncompressed_amplitude:
+        datas += [
+            (output_paths, 'waveplot.jpg', waveplot),
+        ]
     else:
         datas = []
     if 'stft_db' in segments:
         datas += [
             (compressed_paths, 'compressed.jpg', segments['stft_db']),
         ]
+    if 'waveplot' in segments:
+        datas += [
+            (compressed_paths, 'compressed.waveplot.jpg', segments['waveplot']),
+        ]
 
     # Create masked image
     if 'costs' in segments and 'stft_db' in segments: