Paddlehub行人检测

#pip install paddlehub==2.2.0 -i https://mirror.baidu.com/pypi/simple
import paddlehub as hub
import cv2
import os

pedestrain_detector = hub.Module(name="yolov3_darknet53_pedestrian")

test_img_path = "51.png"
import matplotlib.pyplot as plt 
import matplotlib.image as mpimg

img1 = mpimg.imread(test_img_path)


plt.figure(figsize=(10,10))

plt.imshow(img1)
plt.axis('off')
plt.show()


result = pedestrain_detector.object_detection(images=[cv2.imread(test_img_path)],output_dir = 'output')
print(result[0]['data'])
coordinates_list = []
for i in range(len(result[0]['data'])):
        '''
        left (int): 边界框的左上角x坐标；
        top (int): 边界框的左上角y坐标；
        right (int): 边界框的右下角x坐标；
        bottom (int): 边界框的右下角y坐标；
        '''
        xmin = int(result[0]['data'][i]['left'])
        ymin = int(result[0]['data'][i]['top'])
        xmax = int(result[0]['data'][i]['right'])
        ymax = int(result[0]['data'][i]['bottom'])
        pre_label = result[0]['data'][0]['label']
        xx=(-xmin+xmax)/2+xmin
        yy=(ymax-ymin)/2+ymin
        coordinates_list.append([xx,yy])
print(coordinates_list)
res = os.listdir('output')
img1 = mpimg.imread('output/' + res[len(res)-1])

plt.figure(figsize=(10,10))
plt.imshow(img1)

输出：