visualize.py

import cv2
from preprocess.datagen import label_generator


def visualize(image, prob, key):
    index = 0
    color = [(15, 15, 240), (15, 240, 155), (240, 155, 15), (240, 15, 155), (240, 15, 240)]
    for c, p in enumerate(prob):
        if p > 0.5:
            image = cv2.circle(image, (int(key[index]), int(key[index + 1])), radius=5, color=color[c], thickness=-2)
        index = index + 2

    cv2.imshow('AirCtrl Demo', image)
    cv2.waitKey(0)


if __name__ == '__main__':
    img_name = 'ChuangyeguFirstfloor_Single_Four_color_335.jpg'
    dir = '../EgoGesture Dataset/'
    img, prob, keys = label_generator(directory=dir, image_name=img_name, type='Test')
    visualize(img, prob, keys)