diff --git a/utils/plots.py b/utils/plots.py
index dd25fac052bb..e3c981b4fe0c 100644
--- a/utils/plots.py
+++ b/utils/plots.py
@@ -330,9 +330,8 @@ def plot_evolution(yaml_file='data/hyp.finetune.yaml'):  # from utils.plots impo
 
 
 def profile_idetection(start=0, stop=0, labels=(), save_dir=''):
-    # Plot iDetection '*.txt' per-image logs. from . import *; profile_idetection()
-    fig, ax = plt.subplots(2, 4, figsize=(12, 6), tight_layout=True)
-    ax = ax.ravel()
+    # Plot iDetection '*.txt' per-image logs. from utils.plots import *; profile_idetection()
+    ax = plt.subplots(2, 4, figsize=(12, 6), tight_layout=True)[1].ravel()
     s = ['Images', 'Free Storage (GB)', 'RAM Usage (GB)', 'Battery', 'dt_raw (ms)', 'dt_smooth (ms)', 'real-world FPS']
     files = list(Path(save_dir).glob('frames*.txt'))
     for fi, f in enumerate(files):
@@ -340,17 +339,17 @@ def profile_idetection(start=0, stop=0, labels=(), save_dir=''):
             results = np.loadtxt(f, ndmin=2).T[:, 90:-30]  # clip first and last rows
             n = results.shape[1]  # number of rows
             x = np.arange(start, min(stop, n) if stop else n)
+            results = results[:, x]
             t = (results[0] - results[0].min())  # set t0=0s
             results[0] = x
             for i, a in enumerate(ax):
                 if i < len(results):
-                    y = results[i, x]
                     label = labels[fi] if len(labels) else f.stem.replace('frames_', '')
-                    a.plot(t, y, marker='.', label=label, linewidth=1, markersize=5)
+                    a.plot(t, results[i], marker='.', label=label, linewidth=1, markersize=5)
                     a.set_title(s[i])
                     a.set_xlabel('time (s)')
                     # if fi == len(files) - 1:
-                    # a.set_ylim(bottom=0)
+                    #     a.set_ylim(bottom=0)
                     for side in ['top', 'right']:
                         a.spines[side].set_visible(False)
                 else:
@@ -359,7 +358,7 @@ def profile_idetection(start=0, stop=0, labels=(), save_dir=''):
             print('Warning: Plotting error for %s; %s' % (f, e))
 
     ax[1].legend()
-    fig.savefig(Path(save_dir) / 'idetection_profile.png', dpi=200)
+    plt.savefig(Path(save_dir) / 'idetection_profile.png', dpi=200)
 
 
 def plot_results_overlay(start=0, stop=0):  # from utils.plots import *; plot_results_overlay()