camera/SCP.py

@@ -1,45 +0,0 @@
-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

camera/camera.py

@@ -1,47 +1,22 @@
-#!/usr/bin/env python3
+#!/usr/bin/env python2
 
-import time, subprocess
+import time
 import RPi.GPIO as GPIO
 
-from SCP import scp
-
 IR_PIN = 3
 
 GPIO.setmode(GPIO.BOARD)
 GPIO.setup(IR_PIN, GPIO.OUT)
 
-i = 0
 try:
     while True:
-        print("Gpio Low")
+        print "Gpio Low"
+        GPIO.output(IR_PIN, GPIO.LOW)
+        time.sleep(20)
+        print "Gpio High"
         GPIO.output(IR_PIN, GPIO.HIGH)
-        time.sleep(2)
+        time.sleep(20)
-
-        # take image and scp it to the other pi
-        print("take image...")
-        subprocess.run(['raspistill', '-o', 'images/image' + str(i) + '.jpg'])
-        
-        print("transfer image")
-        #scp('images/image' + str(i) + '.jpg', '~/image' + str(i) + '.jpg', '192.168.252.1', 'pi', 'smarthome')
-
-        i+=1
-
-        if i>10:
-            break
-        #print("Gpio High")
-        #GPIO.output(IR_PIN, GPIO.HIGH)
-        #time.sleep(2)
-
-        # take image and scp it to the other pi
-        #print("take image...")
-        #subprocess.run(['raspistill', '-o', 'image2.jpg'])
-        
-        #print("transfer image")
-        #scp('image2.jpg', '~/image2.jpg', '192.168.252.1', 'pi', 'smarthome')
-
-        #break
-
 except Exception as e:
-    print(e)
+    print e
 finally:
     GPIO.cleanup()

camera/person-detection.py

@@ -1,52 +0,0 @@
-# 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)