distance_to_camera 函数传入目标的实际宽度,计算得到的焦距和图片上目标的像素宽度,就可以通过相似三角形公式计算目标到相机的距离了。 下面是调用 distance_to_camera 函数之前的准备: # initialize the known distance from the camera to the object, which# in this case i...
distance_to_camera函数传入目标的实际宽度,计算得到的焦距和图片上目标的像素宽度,就可以通过相似三角形公式计算目标到相机的距离了。 下面是调用distance_to_camera函数之前的准备: # initialize the known distance from the camera to the object, which# in this case is 24 inchesKNOWN_DISTANCE=24.0# initialize...
return (knownWidth * focalLength) / perWidth distance_to_camera 函数传入目标的实际宽度,计算得到的焦距和图片上目标的像素宽度,就可以通过相似三角形公式计算目标到相机的距离了。 下面是调用 distance_to_camera 函数之前的准备: # initialize the known distance from the camera to the object, which # in ...
distance_to_camera 函数传入目标的实际宽度,计算得到的焦距和图片上目标的像素宽度,就可以通过相似三角形公式计算目标到相机的距离了。 下面是调用 distance_to_camera 函数之前的准备: #initialize the known distance from the camera to the object, which#in this case is 24 inchesKNOWN_DISTANCE = 24.0#initia...
(h_keypoints_object.size()-1, d_matches.size()); k++) { if ( (d_matches[k][0].distance < 0.6*(d_matches[k][1].distance)) && ((int)d_matches[k].size() <= 2 && (int)d_matches[k].size()>0) ) { // 最近匹配 < 0.6*次近匹配 good_matches.push_back(d_matches[k][...
social_distance_detector.py文件: from pyimagesearch import social_distancing_config as config from pyimagesearch.detection import detect_people from scipy.spatial import distance as dist import numpy as np import imutils import cv2 import os '''(1)配置''' '''输入视频的路径 、是...
defdistance_to_camera(knownWidth,focalLength,perWidth): # compute and return the distance from the maker to the camera return(knownWidth*focalLength)/perWidth 这个函数传入目标的,计算好的,和目标在图像中的像素距离,并且使用上面推导的相似三角形公式来计算到物体的距离。
else:detect_color ='None' ## cv2.putText(img, "Color: " + detect_color, (10, img.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.65, detect_color, 2)returnimg if__name__ =='__main__':cap = cv2.VideoCapture(-1)#读取摄像头__tar...
COCO数据集包含120000张图像,这些图像中总共包含880000个带标签的物体。这些模型经过预训练可以检测90种不同类型的物体,物体类型的完整列表可以在GitHub的data部分得到,地址为:https://github.com/tensorflow/models/blob/master/research/object_detection/data/mscoco_complete_label_map.pbtxt...
继续,我们开始这个项目。打开一个文件,命名为distance_to_camera.py,然后就可以开工了。 # import the necessary packages importnumpyasnp importcv2 deffind_marker(image): # convert the image to grayscale, blur it, and detect edges gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) ...