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Code Issues Projects Releases Wiki Activity

Update profile_idetection() (#1727)

pull/1736/head
Glenn Jocher 2020-12-18 01:19:17 -08:00 committed by GitHub
parent d5289b54c4
commit 49abc722fc
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1 changed files with 6 additions and 7 deletions
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utils/plots.py
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@ -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=''): def profile_idetection(start=0, stop=0, labels=(), save_dir=''):
# Plot iDetection '*.txt' per-image logs. from . import *; profile_idetection() # Plot iDetection '*.txt' per-image logs. from utils.plots import *; profile_idetection()
fig, ax = plt.subplots(2, 4, figsize=(12, 6), tight_layout=True) ax = plt.subplots(2, 4, figsize=(12, 6), tight_layout=True)[1].ravel()
ax = ax.ravel()
s = ['Images', 'Free Storage (GB)', 'RAM Usage (GB)', 'Battery', 'dt_raw (ms)', 'dt_smooth (ms)', 'real-world FPS'] 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')) files = list(Path(save_dir).glob('frames*.txt'))
for fi, f in enumerate(files): 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 results = np.loadtxt(f, ndmin=2).T[:, 90:-30] # clip first and last rows
n = results.shape[1] # number of rows n = results.shape[1] # number of rows
x = np.arange(start, min(stop, n) if stop else n) x = np.arange(start, min(stop, n) if stop else n)
results = results[:, x]
t = (results[0] - results[0].min()) # set t0=0s t = (results[0] - results[0].min()) # set t0=0s
results[0] = x results[0] = x
for i, a in enumerate(ax): for i, a in enumerate(ax):
if i < len(results): if i < len(results):
y = results[i, x]
label = labels[fi] if len(labels) else f.stem.replace('frames_', '') 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_title(s[i])
a.set_xlabel('time (s)') a.set_xlabel('time (s)')
# if fi == len(files) - 1: # if fi == len(files) - 1:
# a.set_ylim(bottom=0) # a.set_ylim(bottom=0)
for side in ['top', 'right']: for side in ['top', 'right']:
a.spines[side].set_visible(False) a.spines[side].set_visible(False)
else: else:
@ -359,7 +358,7 @@ def profile_idetection(start=0, stop=0, labels=(), save_dir=''):
print('Warning: Plotting error for %s; %s' % (f, e)) print('Warning: Plotting error for %s; %s' % (f, e))
ax[1].legend() 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() def plot_results_overlay(start=0, stop=0): # from utils.plots import *; plot_results_overlay()