def __init__(self, src):
self.cap = video.create_capture(src, presets['book'])
self.frame = None
self.paused = False
self.tracker = PlaneTracker()
cv2.namedWindow('plane')
self.rect_sel = common.RectSelector('plane', self.on_rect)
def __init__(self, src):
self.cap = cv2.VideoCapture(src)
self.frame = None
self.paused = False
self.tracker = PlaneTracker()
cv2.namedWindow('plane')
self.rect_sel = common.RectSelector('plane', self.on_rect)
def __init__(self, src):
self.cap = video.create_capture(src)
self.frame = None
self.paused = False
self.tracker = PlaneTracker()
cv2.namedWindow('plane')
cv2.createTrackbar('focal', 'plane', 25, 50, common.nothing)
self.rect_sel = common.RectSelector('plane', self.on_rect)
def __init__(self, src):
image = cv.imread(src, 1)
small = cv.resize(image, (0,0), fx=0.125, fy=0.125) # resizing the image, as high resolution image taken
self.frame = small
self.paused = False
self.tracker = PlaneTracker()
cv.namedWindow('Selected Region')
# cv.setMouseCallback('Selected Region', self.draw_circle_corner)
self.rect_sel = common.RectSelector('Selected Region', self.on_rect)
def __init__(self, src):
self.cap = video.create_capture(src, presets['book'])
self.frame = None
self.paused = False
self.tracker = PlaneTracker()
cv.namedWindow('plane', cv.WINDOW_NORMAL)
cv.createTrackbar('focal', 'plane', 25, 50, common.nothing)
cv.resizeWindow('plane', 1920, 1080)
self.rect_sel = common.RectSelector('plane', self.on_rect)
def __init__(self, src):
cv.namedWindow(WIN_NAME)
cv.moveWindow(WIN_NAME, 0, 0)
self.cap = video.create_capture(src, presets['book'])
self.frame = None
self.auto_output_frame = None
self.paused = False
self.tracker = PlaneTracker()
self.rect_sel = common.RectSelector('plane', self.on_rect)
self.user_selected_rect = None
self.focal_length = 0.0
self.horizontal_angel = 0.0
self.known_distance = 200
self.KNOWN_WIDTH = 40
self.KNOWN_HEIGHT = 40
self.msg = None
self.serial = 0
self.auto_save = False
self.auto_serial = 0
def __init__(self):
self.template = None
self.paused = False
self.recognised = False
self.tracker = PlaneTracker()
self.character = ""
#Add template images to tracker
scarlet = cv2.imread(os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..', 'cluedo_images/scarlet.png')))
mustard = cv2.imread(os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..', 'cluedo_images/mustard.png')))
plum = cv2.imread(os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..', 'cluedo_images/plum.png')))
peacock = cv2.imread(os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..', 'cluedo_images/peacock.png')))
scarlet_rect = (0,0,scarlet.shape[1],scarlet.shape[0])
mustard_rect = (0,0,mustard.shape[1],mustard.shape[0])
plum_rect = (0,0,plum.shape[1],plum.shape[0])
peacock_rect = (0,0,peacock.shape[1],peacock.shape[0])
self.tracker.add_target(scarlet.copy(), scarlet_rect,'scarlet')
self.tracker.add_target(mustard.copy(), mustard_rect,'mustard')
self.tracker.add_target(plum.copy(), plum_rect,'plum')
self.tracker.add_target(peacock.copy(), peacock_rect,'peacock')
import numpy as np
import cv2
from common import getsize, draw_keypoints
from plane_tracker import PlaneTracker
face_cascade = cv2.CascadeClassifier(
'haarcascades/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_eye.xml')
searchFor = cv2.imread('myPic.jpg', 0) # Load Search Image
#searchForGray = cv2.cvtColor(searchFor, cv2.COLOR_BGR2GRAY) # Change to GRAY
searchHeight, searchWidth = searchFor.shape
tracker = PlaneTracker()
tracker.add_target(searchFor, (0, 0, searchWidth, searchHeight))
cap = cv2.VideoCapture(0) # Init Camera
while (True):
# Get Frame
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0),
2) # Draw Faces On img
# Crop Face
cropped = img[y:y + h, x:x + w]
#croppedGray = cv2.cvtColor(cropped, cv2.COLOR_BGR2GRAY)
def __init__(self, features_detect=1500):
self.tracker = PlaneTracker(0.025, 10, max_features_detect=1500)
self.__templates = [] # Keep track of templates being tracked
