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        "description": "Info\n====\n`ldm.py 2018-05-25`\n\n`Author: Zhao Mingming <471106585@qq.com>`\n\n`Copyright: This module has been placed in the public domain.`\n\n`version:0.1.0`\n- `add compare2dir` \n\n`version:0.1.1`\n- `add face_rec_ms` \n`version:0.1.3`\n- `add compare2imglist` \n\nClasses:\n- `LDM`: you can use a function to get landmarks and face feature  with no other libs \n\nFunctions:\n\n- `face_feature`: the feature of face in the image for face recognition \n- `landmarks`: get the landmarks and face in the image \n- `face_rec`: return the face similarity of the  face in two images\n- `has_same_person`: return a int(>0) if there have a same person in two images,otherwise 0\n- `compare2dir`: compare the face in the images of the two dirs,and return the rate ,score_avg,class_id1,class_id2\n- `compare2imglist`: compare the face in the imglist ,and return the rate ,score_avg,class_id1,class_id2\n\nHow To Use This Module\n======================\n.. image:: funny.gif\n   :height: 100px\n   :width: 100px\n   :alt: funny cat picture\n   :align: center\n\n1. example code:\n\n\n.. code:: python\n\n    imagepath=\"closed_eye/9.jfif\"\n    img=io.imread(imagepath)\n    img1=img\n    imagepath=\"closed_eye/14.jfif\"\n    img2=io.imread(imagepath)\n\n    ldmer=ldm.LDM()\n    print img.shape[0]\n    ldl,facel,txt=ldmer.landmarks(img)\n    print txt\n\n    for ld in ldl:\n        print 10*'-'\n        print 'nose:'\n        print ld['nose']\n    for face in facel:\n        print 10*'-'\n        print 'face:'\n        print face.top()\n        print face.left()\n        print face.width()\n        print face.height()\n        print face.bottom()\n        print face.right()\n        x,y,w,h=[face.top(),face.left(),face.width(),face.height()]\n        print x,y,w,h\n    print \"feature:\"\n    ffl=ldmer.face_feature(img,facel)\n    for ff in ffl:\n        print help(ff)\n        print 'ff='+str(ff)\n        print 'len(ff)='+str(len(ff))\n        print 'ff[0]='+str(ff[0])\n        print 'ff[127]='+str(ff[127])\n\n    print \"face compare:\"\n    print ldmer.face_rec(img1,img2)\n    print ldmer.has_same_person(img1,img2)\n    print ldmer.has_same_person(img2,img2)\n\n    print \"face number:\"\n    print ldmer.face_number(img,facel)\n\n\n\nRefresh\n========\n\nadd a function : ldmer.imread(imgpath) \nmodify  the return value number to: has_flag,max_score=ldmer.has_same_person(img1,img2)\n\n\n",
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