openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#!/usr/bin/env python3
import argparse
import numpy as np
from cereal.messaging import SubMaster
def cputime_total(ct):
return ct.user + ct.nice + ct.system + ct.idle + ct.iowait + ct.irq + ct.softirq
def cputime_busy(ct):
return ct.user + ct.nice + ct.system + ct.irq + ct.softirq
def proc_cputime_total(ct):
return ct.cpuUser + ct.cpuSystem + ct.cpuChildrenUser + ct.cpuChildrenSystem
def proc_name(proc):
name = proc.name
if len(proc.cmdline):
name = proc.cmdline[0]
if len(proc.exe):
name = proc.exe + " - " + name
return name
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--mem', action='store_true')
parser.add_argument('--cpu', action='store_true')
args = parser.parse_args()
sm = SubMaster(['thermal', 'procLog'])
last_temp = 0.0
last_mem = 0.0
total_times = [0., 0., 0., 0.]
busy_times = [0., 0., 0.0, 0.]
prev_proclog = None
prev_proclog_t = None
while True:
sm.update()
if sm.updated['thermal']:
t = sm['thermal']
last_temp = np.mean(t.cpu)
last_mem = t.memUsedPercent
if sm.updated['procLog']:
m = sm['procLog']
cores = [0., 0., 0., 0.]
total_times_new = [0., 0., 0., 0.]
busy_times_new = [0., 0., 0.0, 0.]
for c in m.cpuTimes:
n = c.cpuNum
total_times_new[n] = cputime_total(c)
busy_times_new[n] = cputime_busy(c)
for n in range(4):
t_busy = busy_times_new[n] - busy_times[n]
t_total = total_times_new[n] - total_times[n]
cores[n] = t_busy / t_total
total_times = total_times_new[:]
busy_times = busy_times_new[:]
print("CPU %.2f%% - RAM: %.2f - Temp %.2f" % (100. * np.mean(cores), last_mem, last_temp))
if args.cpu and prev_proclog is not None:
procs = {}
dt = (sm.logMonoTime['procLog'] - prev_proclog_t) / 1e9
for proc in m.procs:
try:
name = proc_name(proc)
prev_proc = [p for p in prev_proclog.procs if proc.pid == p.pid][0]
cpu_time = proc_cputime_total(proc) - proc_cputime_total(prev_proc)
cpu_usage = cpu_time / dt * 100.
procs[name] = cpu_usage
except IndexError:
pass
print("Top CPU usage:")
for k, v in sorted(procs.items(), key=lambda item: item[1], reverse=True)[:10]:
print(f"{k.rjust(70)} {v:.2f} %")
print()
if args.mem:
mems = {}
for proc in m.procs:
name = proc_name(proc)
mems[name] = float(proc.memRss) / 1e6
print("Top memory usage:")
for k, v in sorted(mems.items(), key=lambda item: item[1], reverse=True)[:10]:
print(f"{k.rjust(70)} {v:.2f} MB")
print()
prev_proclog = m
prev_proclog_t = sm.logMonoTime['procLog']