opencv dnn face
【摘要】 两种算法,检测人脸,漏检都特别严重:
https://github.com/AhnJG/AI-Project/tree/7f0b1c69f7b36b73a5a1f08add0dfd632d745841/Face_Detection/Dnnface_opencv4cvml
import numpy as npimport cv2 model = 'res1...
两种算法,检测人脸,漏检都特别严重:
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import numpy as np
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import cv2
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model = 'res10_300x300_ssd_iter_140000_fp16.caffemodel'
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config = 'deploy.prototxt'
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#model = 'opencv_face_detector_uint8.pb'
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#config = 'opencv_face_detector.pbtxt'
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cap = cv2.VideoCapture(0)
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if not cap.isOpened():
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print('Camera open failed!')
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exit()
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net = cv2.dnn.readNet(model, config)
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if net.empty():
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print('Net open failed!')
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exit()
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while True:
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_, frame = cap.read()
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if frame is None:
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break
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blob = cv2.dnn.blobFromImage(frame, 1, (300, 300), (104, 177, 123))
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net.setInput(blob)
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detect
文章来源: blog.csdn.net,作者:网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/104321485
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