import argparse
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True, help="path to the input image")
ap.add_argument("-w", "--width", type=int, help="width of sliding window")
ap.add_argument("-t", "--height", type=int, help="height of sliding window")
ap.add_argument("-s",
"--scale",
type=float,
default=1.5,
help="scale factor size")
args = vars(ap.parse_args())
image = cv2.imread(args["image"])
(winW, winH) = (args["width"], args["height"])
for layer in pyramid(image, scale=args["scale"]):
for (x, y, window) in sliding_window(layer,
stepSize=32,
windowSize=(winW, winH)):
if window.shape[0] != winH or window.shape[1] != winW:
continue
clone = layer.copy()
cv2.rectangle(clone, (x, y), (x + winW, y + winH), (0, 255, 0), 2)
cv2.imshow("Window", clone)
cv2.waitKey(1)
time.sleep(0.025)
from pyimagesearch.object_detection.helpers import pyramid
import argparse
import cv2
ap = argparse.ArgumentParser()
ap.add_argument('-i', '--image', required=True, help='path to the image')
ap.add_argument('-s',
'--scale',
required=True,
default=1.5,
help='scale factor size')
args = vars(ap.parse_args())
image = cv2.imread(args['image'])
for (i, layer) in enumerate(pyramid(image, scale=float(args['scale']))):
cv2.imshow('Layer {}'.format(i + 1), layer)
cv2.waitKey(0)
# USAGE
# python test_pyramid.py --image florida_trip.png --scale 1.5
# import the necessary packages
from pyimagesearch.object_detection.helpers import pyramid
import argparse
import cv2
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True, help="path to the input image")
ap.add_argument("-s",
"--scale",
type=float,
default=1.5,
help="scale factor size")
args = vars(ap.parse_args())
# load the input image
image = cv2.imread(args["image"])
# loop over the layers of the image pyramid and display them
for (i, layer) in enumerate(pyramid(image, scale=args["scale"])):
cv2.imshow("Layer {}".format(i + 1), layer)
cv2.waitKey(0)
help='width of sliding window')
ap.add_argument('-t',
'--height',
required=True,
type=int,
help='height of sliding window')
ap.add_argument('-s',
'--scale',
type=float,
default=1.5,
help='scale factor size')
args = vars(ap.parse_args())
image = cv2.imread(args['image'])
(winW, winH) = (args['width'], args['height'])
for layer in pyramid(image, scale=args['scale']):
for (x, y, window) in sliding_window(layer,
stepSize=32,
windowSize=(winW, winH)):
# if the current window does not meet our desired window size, ignore it
if window.shape[0] != winH or window.shape[1] != winW:
continue
clone = layer.copy()
cv2.rectangle(clone, (x, y), (x + winW, y + winH), (0, 255, 0), 2)
cv2.imshow('window', clone)
cv2.waitKey(1)
time.sleep(0.025)
