add remote video stream to people counter
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119
camera/counter_people.py
Normal file → Executable file
119
camera/counter_people.py
Normal file → Executable file
@ -1,11 +1,11 @@
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from imutils.object_detection import non_max_suppression
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#!/usr/bin/env python
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import numpy as np
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import imutils
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import cv2
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import time
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import argparse
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import time
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import base64
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from video_stream import imagezmq
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from imutils.object_detection import non_max_suppression
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'''
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Usage:
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@ -16,6 +16,7 @@ python peopleCounter.py -c # Attempts to detect people using webcam
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HOGCV = cv2.HOGDescriptor()
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HOGCV.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
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VERBOSITY = False
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def detector(image):
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'''
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@ -37,54 +38,63 @@ def detector(image):
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return result
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def buildPayload(variable, value, context):
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return {variable: {"value": value, "context": context}}
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def argsParser():
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ap = argparse.ArgumentParser()
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ap.add_argument("-i", "--image", default=None, help="path to image test file directory")
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ap.add_argument("-c", "--camera", default=False, help="Set as true if you wish to use the camera")
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ap.add_argument("-v", "--video", default=None, help="path to the video file")
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ap.add_argument("-i", "--image", default=None,
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help="path to image test file directory")
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ap.add_argument("-c", "--camera", action="store_true", default=False,
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help="Set as true if you wish to use the camera")
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ap.add_argument("-v", "--video", default=None,
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help="path to the video file")
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ap.add_argument("-r", "--remote", action="store_true", default=False,
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help="video comes from remote source via imagezmq")
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ap.add_argument("--verbose", action="store_true", default=False,
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help="increase output verbosity")
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args = vars(ap.parse_args())
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if args["verbose"]:
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VERBOSITY = True
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return args
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def usage():
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print("usage: counter_people.py [-h] [-i IMAGE] [-c] [-v] [-r REMOTE] [--verbose]")
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print()
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print("optional arguments:")
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print(" -h, --help show this help message and exit")
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print(" -i IMAGE, --image IMAGE")
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print(" path to image test file directory")
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print(" -c, --camera Set as true if you wish to use the camera")
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print(" -v, --video path to the video file")
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print(" -r REMOTE, --remote REMOTE")
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print(" video comes from remote source via imagezmq")
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print(" --verbose increase output verbosity")
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def localDetect(image_path):
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result = []
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image = cv2.imread(image_path)
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image = imutils.resize(image, width=min(400, image.shape[1]))
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clone = image.copy()
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if len(image) <= 0:
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print("[ERROR] could not read local image")
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return result
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print("[INFO] Detecting people")
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result = detector(image)
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"""# shows the result
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for (xA, yA, xB, yB) in result:
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cv2.rectangle(image, (xA, yA), (xB, yB), (0, 255, 0), 2)
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if VERBOSITY:
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# shows the result
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for (xA, yA, xB, yB) in result:
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cv2.rectangle(image, (xA, yA), (xB, yB), (0, 255, 0), 2)
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cv2.imshow("result", image)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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cv2.imshow("result", image)
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cv2.waitKey(0)
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cv2.destroyWindow("result")
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cv2.imwrite("result.png", np.hstack((clone, image)))"""
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#cv2.imwrite("result.png", np.hstack((clone, image)))
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return result#(result, image)
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def cameraDetect(video_path="", sample_time=5):
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if video_path:
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cap = cv2.VideoCapture(video_path)
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else:
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cap = cv2.VideoCapture(0)
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#init = time.time()
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while(True):
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def videoDetect(cap):
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while True:
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# Capture frame-by-frame
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_, frame = cap.read()
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@ -97,15 +107,16 @@ def cameraDetect(video_path="", sample_time=5):
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# shows the result
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for (xA, yA, xB, yB) in result:
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cv2.rectangle(frame, (xA, yA), (xB, yB), (0, 255, 0), 2)
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cv2.imshow('frame', frame)
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cv2.waitKey(0)
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if VERBOSITY:
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cv2.imshow('frame', frame)
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cv2.waitKey(0)
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#if time.time() - init >= sample_time:
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if len(result):
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if result:
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print("{} people detected.".format(len(result)))
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#init = time.time()
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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@ -113,34 +124,46 @@ def cameraDetect(video_path="", sample_time=5):
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cap.release()
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cv2.destroyAllWindows()
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def remoteDetect(image_hub):
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while True:
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rpi_name, image = image_hub.recv_image()
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cv2.imshow(rpi_name, image) # 1 window for each RPi
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cv2.waitKey(1)
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image_hub.send_reply(b'OK')
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def convert_to_base64(image):
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image = imutils.resize(image, width=400)
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img_str = cv2.imencode('.png', image)[1].tostring()
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b64 = base64.b64encode(img_str)
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return b64.decode('utf-8')
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def detectPeople(args):
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image_path = args["image"]
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video_path = args["video"]
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camera = True if str(args["camera"]) == 'true' else False
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camera = True if args["camera"] else False
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remote = True if args["remote"] else False
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# Routine to read local image
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if image_path != None and not camera and video_path == None:
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if image_path is not None:
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print("[INFO] Image path provided, attempting to read image")
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(result, image) = localDetect(image_path)
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print(str(len(result)) + " People detected.")
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if video_path != None and not camera:
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print("[INFO] reading video")
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cameraDetect(video_path)
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elif video_path is not None:
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print("[INFO] Video path provided, reading video")
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cap = cv2.VideoCapture(video_path)
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videoDetect(cap)
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# Routine to read images from webcam
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if camera:
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print("[INFO] reading camera images")
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cameraDetect()
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elif camera:
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print("[INFO] Reading images from local camera")
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cap = cv2.VideoCapture(0)
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videoDetect(cap)
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elif remote:
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print("[INFO] Reading images from remote stream")
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image_hub = imagezmq.ImageHub()
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remoteDetect(image_hub)
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else:
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usage()
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def main():
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