def _raw_nvr(self):
cmd = ["rpm", "-q", self.name]
nvr = process.pipe(cmd).strip().split("\n")
self.logger.debug("Found build: %s" % nvr)
if len(nvr) != 1:
raise RuntimeError("Failed to retrieve nvr for %s: %s" %
(self.name, nvr))
return nvr[0]
def journal(unit=None, this_boot=True):
"""Convenience function to access the journal
"""
cmd = ["journalctl"]
if unit:
cmd += ["--unit", unit]
if this_boot:
cmd += ["--this-boot"]
return process.pipe(cmd)
def get_hostkey(self, variant="rsa"):
fn_hostkey = "/etc/ssh/ssh_host_%s_key.pub" % variant
if not os.path.exists(fn_hostkey):
raise Exception("SSH hostkey does not yet exist.")
hostkey = File(fn_hostkey).read()
hostkey_fp_cmd = "ssh-keygen -l -f '%s'" % fn_hostkey
fingerprint = process.pipe(hostkey_fp_cmd).strip().split(" ")[1]
return (fingerprint, hostkey)
def get_hostkey(self, variant="rsa"):
fn_hostkey = "/etc/ssh/ssh_host_%s_key.pub" % variant
if not os.path.exists(fn_hostkey):
raise Exception("SSH hostkey does not yet exist.")
hostkey = File(fn_hostkey).read()
hostkey_fp_cmd = "ssh-keygen -l -f '%s'" % fn_hostkey
fingerprint = process.pipe(hostkey_fp_cmd).strip().split(" ")[1]
return (fingerprint, hostkey)
def cpu_details():
"""Return details for the CPU of this machine
"""
fields = [
"Model name", "Architecture", "CPU MHz", "Virtualization", "CPU(s)",
"Socket(s)", "Core(s) per socket", "Thread(s) per core"
]
data = process.pipe(["lscpu"])
cpu = _parse_lscpu(data)
# Fallback for some values
cpuinfo = _parse_lscpu(File("/proc/cpuinfo").read())
cpu["Model name"] = \
cpu.get("Model name", "") or cpuinfo.get("model name", "")
cpu_details = ("%s: %s" % (f, cpu.get(f, "(Unknown)")) for f in fields)
return "\n".join(cpu_details)
import cv2
import numpy
import process
import os
os.remove('AUV_owen\original_data\original_data.txt')
avi_file_path1 = r'D:\github\Underwater-robot-competition\AUV_owen\dataset\recut\20210115_161634_Trim.mp4'
avi_file_path2 = r'D:\github\Underwater-robot-competition\AUV_owen\dataset\recut\20210115_162231_Trim.mp4'
cap = cv2.VideoCapture(avi_file_path1)
cap.set(cv2.CAP_PROP_FPS,20)
fps = cap.get(5)
frame_count = cap.get(7)
FIFO = process.pipe()
frame_num = 0
while(1):
ret, frame = cap.read()
frame = cv2.resize(frame,dsize=None,fx=0.5,fy=0.5)
Processed = process.imgprocess_detect_adsorbate(frame)
frame = Processed.processed
data = Processed.detect_data #检测数据
#数据读入管道
FIFO.pipe_life.append(data[0])
FIFO.pipe_type.append(data[1])
FIFO.pipe_x.append(data[2])
FIFO.pipe_y.append(data[3])
FIFO.pipe_area.append(data[4])
FIFO.reboot_judge() #限制长度
#管道中判定
ob_type = FIFO.lifetime_judge()
if ob_type == 1:
