Browse Source

Add scp method for debugging and a detection method

master
lheimbs 2 years ago
parent
commit
fe71e3400a
2 changed files with 97 additions and 0 deletions
  1. 45
    0
      camera/SCP.py
  2. 52
    0
      camera/person-detection.py

+ 45
- 0
camera/SCP.py View File

@@ -0,0 +1,45 @@
import tempfile, pexpect

def scp(src_name, dest_name, host, user, password, timeout=30, bg_run=False):
"""SSH'es to a host using the supplied credentials and executes a command.
Throws an exception if the command doesn't return 0.
bgrun: run command in the background"""

fname = tempfile.mktemp()
fout = open(fname, 'w')

options = '-q -oStrictHostKeyChecking=no -oUserKnownHostsFile=/dev/null -oPubkeyAuthentication=no'
if bg_run:
options += ' -f'
scp_cmd = 'scp %s %s@%s:%s' % (src_name, user, host, dest_name)
child = pexpect.spawn(scp_cmd, timeout=timeout, encoding='UTF-8')
child.expect(['password: '])
child.sendline(password)
child.logfile = fout
child.expect(pexpect.EOF)


# We expect any of these three patterns...
#i = child.expect (['Permission denied', 'Terminal type', '[#\$] '])
#if i==0:
# print('Permission denied on host. Can\'t login')
# child.kill(0)
#elif i==1:
# print('Login OK... need to send terminal type.')
# child.sendline('vt100')
# child.expect('[#\$] ')
#elif i==2:
# print('Login OK.')
# print('Shell command prompt', child.after)

child.close()
fout.close()

fin = open(fname, 'r')
stdout = fin.read()
fin.close()

if 0 != child.exitstatus:
raise Exception(stdout)
return stdout

+ 52
- 0
camera/person-detection.py View File

@@ -0,0 +1,52 @@
# import the necessary packages
from __future__ import print_function
from imutils.object_detection import non_max_suppression
from imutils import paths
import numpy as np
import argparse
import imutils
import cv2

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--images", required=True, help="path to images directory")
args = vars(ap.parse_args())

# initialize the HOG descriptor/person detector
hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

# loop over the image paths
for imagePath in paths.list_images(args["images"]):
# load the image and resize it to (1) reduce detection time
# and (2) improve detection accuracy
image = cv2.imread(imagePath)
image = imutils.resize(image, width=min(400, image.shape[1]))
orig = image.copy()

# detect people in the image
(rects, weights) = hog.detectMultiScale(image, winStride=(4, 4),
padding=(8, 8), scale=1.05)

# draw the original bounding boxes
for (x, y, w, h) in rects:
cv2.rectangle(orig, (x, y), (x + w, y + h), (0, 0, 255), 2)

# apply non-maxima suppression to the bounding boxes using a
# fairly large overlap threshold to try to maintain overlapping
# boxes that are still people
rects = np.array([[x, y, x + w, y + h] for (x, y, w, h) in rects])
pick = non_max_suppression(rects, probs=None, overlapThresh=0.65)

# draw the final bounding boxes
for (xA, yA, xB, yB) in pick:
cv2.rectangle(image, (xA, yA), (xB, yB), (0, 255, 0), 2)

# show some information on the number of bounding boxes
filename = imagePath[imagePath.rfind("/") + 1:]
print("[INFO] {}: {} original boxes, {} after suppression".format(filename, len(rects), len(pick)))

# show the output images
#cv2.imshow("Before NMS", orig)
#cv2.imshow("After NMS", image)
#cv2.waitKey(0)

Loading…
Cancel
Save