break candidate, subset = body_estimation(oriImg) canvas = copy.deepcopy(oriImg) canvas = util.draw_bodypose(canvas, candidate, subset) # detect hand hands_list = util.handDetect(candidate, subset, oriImg) all_hand_peaks = [] for x, y, w, is_left in hands_list: peaks = hand_esti...
break candidate, subset = body_estimation(oriImg) canvas = copy.deepcopy(oriImg) canvas = util.draw_bodypose(canvas, candidate, subset) # detect hand hands_list = util.handDetect(candidate, subset, oriImg) all_hand_peaks = [] for x, y, w, is_left in hands_list:peaks= hand_estimati...
candidate, subset = body_estimation(oriImg) canvas = copy.deepcopy(oriImg) canvas = util.draw_bodypose(canvas, candidate, subset) # detect hand hands_list = util.handDetect(candidate, subset, oriImg) all_hand_peaks = [] forx, y, w, is_leftinhands_list: peaks = hand_estimation(oriI...
break candidate, subset = body_estimation(oriImg) canvas = copy.deepcopy(oriImg) canvas = util.draw_bodypose(canvas, candidate, subset) # detect hand hands_list = util.handDetect(candidate, subset, oriImg) all_hand_peaks = [] for x, y, w, is_left in hands_list: peaks = hand_esti...
canvas = util.draw_bodypose(canvas, candidate, subset)# detect handhands_list = util.handDetect(candidate, subset, oriImg) all_hand_peaks = []forx, y, w, is_leftinhands_list: peaks = hand_estimation(oriImg[y:y+w, x:x+w, :]) ...
()}")cap=cv2.VideoCapture("D:/3code/6pytorch/opencv_demo/12_open_pose/11.mp4")cap.set(3,640)cap.set(4,480)indices=1whileTrue:ret,oriImg=cap.read()ifnot ret:breakcandidate,subset=body_estimation(oriImg)canvas=copy.deepcopy(oriImg)canvas=util.draw_bodypose(canvas,candidate,subset)# ...
{'candidate': array([[2.56000000e+02, 5.50000000e+01, 9.26660120e-01, 0.00000000e+00], [1.37000000e+02, 5.80000000e+01, 9.97184694e-01, 1.00000000e+00], [4.09000000e+02, 6.30000000e+01, 9.93659139e-01, 2.00000000e+00], [2.49000000e+02, 1.07000000e+02, 9.61833715e-01, 3.00000000e+00]...
canvas=draw(input_image, all_peaks, subset, candidate) toc=time.time()print('processing time is %.5f'% (toc -tic))#cv2.imwrite(output, canvas)#cv2.destroyAllWindows() processing_openpose.py 如下: importmathimportnumpy as npfromscipy.ndimage.filtersimportgaussian_filterimportcv2importutilimport...
import sys sys.path.append('/home/aistudio/openpose') from openpose.detectors.body import Body body_estimation = Body(25) oriImg = cv2.imread('/home/aistudio/openpose/images/COCO_val2014_000000000241.jpg') candidate, subset = body_estimation(oriImg) In [5] import cv2 import matplotlib.pyplo...
test_image ='images/demo.jpg'oriImg = cv2.imread(test_image)# B,G,R ordercandidate, subset = body_estimation(oriImg) canvas = copy.deepcopy(oriImg) canvas = util.draw_bodypose(canvas, candidate, subset)# detect handhands_list = util.handDetect(candidate, subset, oriImg) ...