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image_demo.py
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image_demo.py
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import cv2
import glob
import numpy as np
import sys
import os.path
basedir = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(basedir, os.path.pardir)))
from tracker import re3_tracker
if not os.path.exists(os.path.join(basedir, 'data')):
import tarfile
tar = tarfile.open(os.path.join(basedir, 'data.tar.gz'))
tar.extractall(path=basedir)
cv2.namedWindow('Image', cv2.WINDOW_NORMAL)
cv2.resizeWindow('Image', 640, 480)
tracker = re3_tracker.Re3Tracker()
image_paths = sorted(glob.glob(os.path.join(
os.path.dirname(__file__), 'data', '*.jpg')))
initial_bbox = [175, 154, 251, 229]
tracker.track('ball', image_paths[0], initial_bbox)
for image_path in image_paths:
image = cv2.imread(image_path)
# Tracker expects RGB, but opencv loads BGR.
imageRGB = image[:,:,::-1]
bbox = tracker.track('ball', imageRGB)
cv2.rectangle(image,
(int(bbox[0]), int(bbox[1])),
(int(bbox[2]), int(bbox[3])),
[0,0,255], 2)
cv2.imshow('Image', image)
cv2.waitKey(1)