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image_utility's Introduction

image_utility

Handy python scripts for image data-set processing.

Getting Started

count_files.py 遍历制定文件夹,对所有文件按照后缀名进行计数操作。

file_list_generator 列出特定目录下指定格式的文件。

pts_tools.py 读取IBUG数据,并将面部特征点的结果显示在图片上。

detect_face.py 从视频或者摄像头中检测人脸。

pose_estimator.py 通过solvePnP的方法估算人头部的姿态。

Prerequisites

  • Python3
  • OpenCV (Python)

Installing

From the directory where you want to store this repo:

git clone https://github.com/yinguobing/image_utility

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

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image_utility's Issues

caffemodel下载

请问face_detector中的res10_300x300_ssd_iter_140000.caffemodel从哪里下载呢

请问这个是人脸识别的子程序吗?

昨天读了您关于tensorflow关于人脸识别的博文,感觉很有帮助,感谢!最近打算做瞳孔检测方面的工作,由于刚开始进行,所以比较懵圈,有一些简单的问题询问一下,希望能给予帮助。
但cnn-facial-landmark文件里好像只有landmark.py文件,其他的文件是在这个程序里面吗(但我看到了有关于手的文件,一下子这里面好多文件,不知道用哪一个了)?假如我现在想用muct-master数据集去简单复现一下您的工作,数据集中包含了图片信息和特征点的标签值,那我是不是就只需要切出所需的面部区域,并且将他们对应保存成tfrecord文件就可以直接导入卷积神经网络了呀?(由于现在一直对自己建立的数据集如何导入网络这儿比较困惑,所以问的问题比较低级,但确实在这不太懂呀,万分感谢。)

Pose angles conversion

Hi!
Big thanks for your work. I have a question connected with pose angles saving.
As far as I understand before the division /180 we have pitch, yaw, roll as degrees. Why do we make this division? I thought that maybe it is a way for converting to radians, but I don't see any multiplication on pi value.

image_utility/pts_tools.py

Lines 406 to 411 in 1772633

# Save the pose in json files.
pose = {
"pitch": pitch/180,
"yaw": yaw/180,
"roll": roll/180
}

数据集文本

您好,关于数据集文本,当对数据集重新crop,resize之后,新的数据集里对应的文本标签坐标不也变换了吗?这个该怎么处理

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