# BossCannotSee **Repository Path**: Mr_Xbing/BossCannotSee ## Basic Information - **Project Name**: BossCannotSee - **Description**: 划水神器,让你与老板进行极致拉扯。 - **Primary Language**: Python - **License**: LGPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 18 - **Forks**: 1 - **Created**: 2021-11-16 - **Last Updated**: 2022-08-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 老 板 不 能 看 Boss Cannot See ​ 上个月前(2021,10) 我刷视频的时候看到了那种百分百躲避别人偷看的视频。(我知道这个是剪辑) 那时候萌生了这样的一个想法,要是我借助一个前置摄像头和一个姿态识别模型,然后通过计算识别到的人识别有观看我电脑的行为。如果有观看我电脑的行为,我就切换到一个普通的桌面,如果没有观看我电脑的行为,我就继续保持这个隐私页面。 这个是我产生想法以及实现的过程:https://www.bilibili.com/video/BV1z341187Xz 下面我主要说明一下使用到技术。 这里使用到了 opencv(获取摄像头):https://opencv.org/(官网) openpose(姿态识别):https://github.com/CMU-Perceptual-Computing-Lab/openpose (github) pyautogui(快捷键进行桌面切换):https://github.com/asweigart/pyautogui 大家可以提交一些其他姿态到motion目录下。 openpose的安装比较麻烦一些,需要去到github下载源码,然后自己进行编译。编译生成python的api才能使用。大家如果会C++的话也可以使用c++来进行这个项目。 重点讲解一下需要大家理解的代码(很多我都写了中文注释) 讲解一下识别出来的这个数组: 相关代码: ```python ref, image = cap.read() datum = op.Datum() imageToProcess = image datum.cvInputData = imageToProcess #识别操作 opWrapper.emplaceAndPop(op.VectorDatum([datum])) if datum.poseKeypoints is not None: # 生成的结果 datum.poseKeypoints 这是一个数组.详细数组的解释请查看 README print(datum.poseKeypoints) ``` 这个datum.poesKeypoints 就是生成的数组,这里包含的关键节点的信息。 图片: 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数组: ``` [ 第一个人 [ 坐标X 坐标 Y 准确度 [0.00000000e+00 0.00000000e+00 0.00000000e+00] // 鼻子 0 [2.09311020e+02 1.64949844e+02 2.93577045e-01] // 脖子下面(不知道这个位置) 1 [2.02802353e+02 1.63670731e+02 2.05316409e-01] // 剩下的依次按图 [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [2.04113098e+02 2.01509033e+02 2.93194354e-01] [2.01507797e+02 2.01491440e+02 2.47375146e-01] [1.94979874e+02 2.23672958e+02 1.17320523e-01] [1.93663696e+02 2.45888687e+02 1.00509174e-01] [2.09321976e+02 2.02781281e+02 2.85587937e-01] [2.04107986e+02 2.22376419e+02 1.47930026e-01] [2.02821365e+02 2.49784515e+02 1.39970988e-01] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [2.01489700e+02 2.53707657e+02 1.24115810e-01] [2.01500916e+02 2.54990494e+02 1.16797745e-01] [2.04113480e+02 2.53660400e+02 1.36032313e-01] [1.91053360e+02 2.47195160e+02 7.76875839e-02] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [1.93689651e+02 2.48496048e+02 1.02683805e-01] ] 第二个人 [ [0.00000000e+00 0.00000000e+00 0.00000000e+00] [2.09311020e+02 1.64949844e+02 2.93577045e-01] [2.02802353e+02 1.63670731e+02 2.05316409e-01] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [2.04113098e+02 2.01509033e+02 2.93194354e-01] [2.01507797e+02 2.01491440e+02 2.47375146e-01] [1.94979874e+02 2.23672958e+02 1.17320523e-01] [1.93663696e+02 2.45888687e+02 1.00509174e-01] [2.09321976e+02 2.02781281e+02 2.85587937e-01] [2.04107986e+02 2.22376419e+02 1.47930026e-01] [2.02821365e+02 2.49784515e+02 1.39970988e-01] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [2.01489700e+02 2.53707657e+02 1.24115810e-01] [2.01500916e+02 2.54990494e+02 1.16797745e-01] [2.04113480e+02 2.53660400e+02 1.36032313e-01] [1.91053360e+02 2.47195160e+02 7.76875839e-02] [0.00000000e+00 0.00000000e+00 0.00000000e+00] [1.93689651e+02 2.48496048e+02 1.02683805e-01] ] ] ```