blocks|key|1766206|text|转到opencv文件夹并检查data文件夹。你会发现眼睛，脸部，耳朵，上半身的哈尔-级联...：)，它们确实工作正常。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1766207|这里有一个网站，http://alereimondo.no-ip.org/OpenCV/34/不知道它们是否能工作。|offset|length|1766208|entityMap|0|LINK|mutability|MUTABLE|url|http://alereimondo.no-ip.org/OpenCV/34/^0|0|8|13|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

Go to the opencv folder and check the data folder. You'll find haar-cascades for eyes, face, ears, upper body...:)
And they do work properly.

Here's one site
<a href="http://alereimondo.no-ip.org/OpenCV/34/" rel="noreferrer">http://alereimondo.no-ip.org/OpenCV/34/</a>
Don't know if they work though.

blocks|key|3490924|text|由于上一个答案中的链接似乎已失效，您也可以尝试从OpenCV+GitHub存储库here下载它们|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3490925|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/Itseez/opencv/tree/master/data/haarcascades^0|14|4|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

As the link in the previous answer seems to be dead, you can also try to download them from the OpenCV GitHub repository <a href="https://github.com/Itseez/opencv/tree/master/data/haarcascades" rel="noreferrer">here</a>

blocks|key|1766458|text|如果你在python中使用opencv，你可以使用下面的代码片段来使用内置的haar级联：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1766459|import+os
import+cv2

cv2_base_dir+=+os.path.dirname(os.path.abspath(cv2.__file__))
haar_model+=+os.path.join(cv2_base_dir,+'data/haarcascade_frontalface_default.xml')|code-block|syntax|javascript|1766460|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

If you're using opencv from python, you can use this code snippet to use the built-in haar cascades:

<pre class="lang-py prettyprint-override"><code>import os
import cv2

cv2_base_dir = os.path.dirname(os.path.abspath(cv2.__file__))
haar_model = os.path.join(cv2_base_dir, 'data/haarcascade_frontalface_default.xml')
</code></pre>

blocks|key|3491034|text|在data文件夹中openCV的官方存储库中：https://github.com/opencv/opencv/tree/master/data|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3491035|请记住:并不是每个人都使用最新版本的openCV，因此您可以通过git代码库中的标签选择库的版本。|3491036|干杯|3491037|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/opencv/opencv/tree/master/data^0|1|4|N|1D|0|0|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@$9|S|A|T|B|C]]|D|@$9|U|A|V|1|W]]|E|$]]|$1|F|3|G|5|6|7|X|8|@]|D|@]|E|$]]|$1|H|3|I|5|6|7|Y|8|@]|D|@]|E|$]]|$1|J|3|-4|5|6|7|Z|8|@]|D|@]|E|$]]]|K|$L|$5|M|N|O|E|$P|Q]]]]

In the official repo of openCV in the <code>data</code> folder: <a href="https://github.com/opencv/opencv/tree/master/data" rel="nofollow noreferrer">https://github.com/opencv/opencv/tree/master/data</a>

Remember: Not everyone uses latest version of openCV therefore you can choose the version of the library through tags in the git repo.

Cheers

blocks|key|1937289|text|在opencv+3.1中，您可以找到|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1937290|C:\opencv3\data\lbpcascades|1937291|C:\opencv3\data\haarcascades_cuda|1937292|C:\opencv3\opencv_contrib-master\modules\face\data\cascades|1937293|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|L|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|M|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

in the opencv 3.1 you can find 

C:\opencv3\data\lbpcascades

C:\opencv3\data\haarcascades_cuda

C:\opencv3\opencv_contrib-master\modules\face\data\cascades

blocks|key|1937312|text|无论您在何处克隆了opencv-contrib+(如果您是从源代码中克隆的)，随后请遵循以下路径，在OpenCV3.1.0中，我在Ubuntu16中为Python提供了以下内容：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1937313|mona@mona:~/computer_vision/face_detection/opencv_contrib/modules/face/data/cascades$+ls
haarcascade_mcs_eyepair_big.xml++++haarcascade_mcs_nose.xml
haarcascade_mcs_eyepair_small.xml++haarcascade_mcs_rightear.xml
haarcascade_mcs_leftear.xml++++++++haarcascade_mcs_righteye_alt.xml
haarcascade_mcs_lefteye_alt.xml++++haarcascade_mcs_righteye.xml
haarcascade_mcs_lefteye.xml++++++++haarcascade_mcs_upperbody.xml
haarcascade_mcs_mouth.xml|code-block|syntax|javascript|1937314|entityMap^0|9|E|1T|8|23|6|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|U|8|@]|D|@]|E|$]]]|L|$]]

Wherever you have cloned the <code>opencv-contrib</code> (if you have made it from source) follow this path afterward and in OpenCV3.1.0 I have these for <code>Python</code> in <code>Ubuntu16</code> :

<pre><code>mona@mona:~/computer_vision/face_detection/opencv_contrib/modules/face/data/cascades$ ls
haarcascade_mcs_eyepair_big.xml haarcascade_mcs_nose.xml
haarcascade_mcs_eyepair_small.xml haarcascade_mcs_rightear.xml
haarcascade_mcs_leftear.xml haarcascade_mcs_righteye_alt.xml
haarcascade_mcs_lefteye_alt.xml haarcascade_mcs_righteye.xml
haarcascade_mcs_lefteye.xml haarcascade_mcs_upperbody.xml
haarcascade_mcs_mouth.xml
</code></pre>

blocks|key|3491096|text|在寻找HAAR+Cascades时，在这里-似乎这个链接应该有助于我们所有人的搜索/创建我们自己的HAAR+%2B+HOG|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3491097|http://web.missouri.edu/~duanye/course/cs8680-fall-2016/lecture-notes/HoG.pdf|offset|length|3491098|PS:-我正在寻找一个哈尔瀑布-为人类的发际线，耳朵等友好的指南-自己已经到达这里--|3491099|https://github.com/Computer-Vision-Dhankar-Rohit/Computer-Vision---Open-Source_1|3491100|entityMap|0|LINK|mutability|MUTABLE|url|1^0|0|0|25|0|0|0|0|28|1|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@]|9|@$D|T|E|U|1|V]]|A|$]]|$1|F|3|G|5|6|7|W|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|X|8|@]|9|@$D|Y|E|Z|1|10]]|A|$]]|$1|J|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|C]]|Q|$5|M|N|O|A|$P|I]]]]

While looking for HAAR Cascades , landed up here - seems this link should help us all in our search / create our own HAAR + HOG --- 

<a href="http://web.missouri.edu/~duanye/course/cs8680-fall-2016/lecture-notes/HoG.pdf" rel="nofollow noreferrer">http://web.missouri.edu/~duanye/course/cs8680-fall-2016/lecture-notes/HoG.pdf</a>

PS:- Am searching for a HAAR cascade - for HUMAN Head [ hairline , ears etc ] kindly guide - on own have reached here -- 

<a href="https://github.com/Computer-Vision-Dhankar-Rohit/Computer-Vision---Open-Source_1" rel="nofollow noreferrer">https://github.com/Computer-Vision-Dhankar-Rohit/Computer-Vision---Open-Source_1</a>

blocks|key|3405174|text|你不需要到其他网站去寻找级联分类器文件。您只需访问opencv发布站点即可。从那里下载相应的发行版。然后打开下载的文件。在该文件中，您可以找到所有默认haarcascade文件。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3405175|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

You don't need to go to other websites to find the cascade classifier files. you just need to go to the opencv releases site. There download the appropriate release. then open the downloaded file. In there direct as followed : sources > data > haarcascades ; In that file you should find the all default haarcascade files.

blocks|key|3491193|text|以下是从github链接下载haar-cascade+files的直接链接：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3491194|https://github.com/anaustinbeing/haar-cascade-files|offset|length|3491195|只需克隆或以zip格式下载即可获得所有的haar级联xml文件|3491196|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|1F|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@$D|Q|E|R|1|S]]|A|$]]|$1|F|3|G|5|6|7|T|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|U|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|C]]]]

Here's the direct link to download haar-cascade-files from github link:-

<a href="https://github.com/anaustinbeing/haar-cascade-files" rel="nofollow noreferrer">https://github.com/anaustinbeing/haar-cascade-files</a>

Just, clone or download as zip to get all the haar cascade xml files

blocks|key|1936737|text|如果您想从GITHUB派生OpenCv文件：https://github.com/opencv/opencv/tree/master/data/haarcascades|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1936738|​|1936739|1936740|或者，您可以从以下位置下载zip文件：|1936741|https://github.com/manishsingh7163/OpenCv-Haarcascade-XML-files|1936742|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/opencv/opencv/tree/master/data/haarcascades|1^0|M|1Q|0|0|0|0|0|0|1R|1|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@]|C|$]]|$1|F|3|E|5|6|7|Y|8|@]|9|@]|C|$]]|$1|G|3|H|5|6|7|Z|8|@]|9|@]|C|$]]|$1|I|3|J|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|K|3|-4|5|6|7|14|8|@]|9|@]|C|$]]]|L|$M|$5|N|O|P|C|$Q|R]]|S|$5|N|O|P|C|$Q|J]]]]

If you want to fork the OpenCv files from GITHUB:
<a href="https://github.com/opencv/opencv/tree/master/data/haarcascades" rel="nofollow noreferrer">https://github.com/opencv/opencv/tree/master/data/haarcascades</a>
 
 
Or you can download the zip files from:
<a href="https://github.com/manishsingh7163/OpenCv-Haarcascade-XML-files" rel="nofollow noreferrer">https://github.com/manishsingh7163/OpenCv-Haarcascade-XML-files</a>

blocks|key|3491265|text|这就是我用git+v2.25.0做的，也是用v2.26.2测试过的。此技巧在v2.30.1中不起作用|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3491266|TLDR|3491267|git+clone+--no-checkout+--filter=tree:0+https://github.com/opencv/opencv
cd+opencv

#+requires+git+2.25.x+to+2.26.2
git+sparse-checkout+set+data/haarcascades|code-block|syntax|javascript|3491268|您可以使用Docker来避免安装特定版本的git。|3491269|git+clone+--no-checkout+--filter=tree:0+https://github.com/opencv/opencv
cd+opencv

#+requires+git+2.25.x+to+2.26.2
docker+run+--rm+-it+-v+$PWD/:/code/+--workdir=/code/+alpine/git:v2.26.2+sparse-checkout+set+data/haarcascades|3491270|完整的解决方案|3491271|#+bare+minimum+clone+of+opencv
$+git+clone+--no-checkout+--filter=tree:0+https://github.com/opencv/opencv
...
Resolving+deltas:+100%25+(529/529),+done.

#+Downloaded+only+~7.3MB+,+takes+~3+seconds
#+du+=+disk+usage,+-s+=+summary,+-h+=+human-readable
$+du+-sh+opencv
7.3M++++opencv/

#+Set+target+dir
$+cd+opencv
$+git+sparse-checkout+set+data/haarcascades
...
Updating+files:+100%25+(17/17),+done.
#+Takes+~10+seconds,+depending+on+your+specs

#+View+downloaded+files
$+du+-sh+data/haarcascades/
9.4M++++data/haarcascades/
$+ls+data/haarcascades/
haarcascade_eye.xml++++++++++++++++++++++haarcascade_frontalface_alt2.xml++++++haarcascade_licence_plate_rus_16stages.xml++haarcascade_smile.xml
haarcascade_eye_tree_eyeglasses.xml++++++haarcascade_frontalface_alt_tree.xml++haarcascade_lowerbody.xml+++++++++++++++++++haarcascade_upperbody.xml
haarcascade_frontalcatface.xml+++++++++++haarcascade_frontalface_default.xml+++haarcascade_profileface.xml
haarcascade_frontalcatface_extended.xml++haarcascade_fullbody.xml++++++++++++++haarcascade_righteye_2splits.xml
haarcascade_frontalface_alt.xml++++++++++haarcascade_lefteye_2splits.xml+++++++haarcascade_russian_plate_number.xml|3491272|参考文献|3491273|3491274|git-sparse-checkout-blog|unordered-list-item|3491275|git-sparse-checkout-docs|3491276|git-filter-props-docs|3491277|3491278|entityMap|0|LINK|mutability|MUTABLE|url|https://raw.githubusercontent.com/git/git/master/Documentation/RelNotes/2.25.0.txt|1|https://docs.docker.com/get-docker/|2|https://github.blog/2020-01-17-bring-your-monorepo-down-to-size-with-sparse-checkout/#sparse-checkout-and-partial-clones|3|https://git-scm.com/docs/git-sparse-checkout|4|https://git-scm.com/docs/git-rev-list^0|5|B|0|0|0|0|5|6|1|0|0|0|0|0|0|0|O|2|0|0|O|3|0|0|L|4|0|0^^$0|@$1|2|3|4|5|6|7|1J|8|@]|9|@$A|1K|B|1L|1|1M]]|C|$]]|$1|D|3|E|5|6|7|1N|8|@]|9|@]|C|$]]|$1|F|3|G|5|H|7|1O|8|@]|9|@]|C|$I|J]]|$1|K|3|L|5|6|7|1P|8|@]|9|@$A|1Q|B|1R|1|1S]]|C|$]]|$1|M|3|N|5|H|7|1T|8|@]|9|@]|C|$I|J]]|$1|O|3|P|5|6|7|1U|8|@]|9|@]|C|$]]|$1|Q|3|R|5|H|7|1V|8|@]|9|@]|C|$I|J]]|$1|S|3|T|5|6|7|1W|8|@]|9|@]|C|$]]|$1|U|3|-4|5|6|7|1X|8|@]|9|@]|C|$]]|$1|V|3|W|5|X|7|1Y|8|@]|9|@$A|1Z|B|20|1|21]]|C|$]]|$1|Y|3|Z|5|X|7|22|8|@]|9|@$A|23|B|24|1|25]]|C|$]]|$1|10|3|11|5|X|7|26|8|@]|9|@$A|27|B|28|1|29]]|C|$]]|$1|12|3|-4|5|6|7|2A|8|@]|9|@]|C|$]]|$1|13|3|-4|5|6|7|2B|8|@]|9|@]|C|$]]]|14|$15|$5|16|17|18|C|$19|1A]]|1B|$5|16|17|18|C|$19|1C]]|1D|$5|16|17|18|C|$19|1E]]|1F|$5|16|17|18|C|$19|1G]]|1H|$5|16|17|18|C|$19|1I]]]]

This is how I do it with <a href="https://raw.githubusercontent.com/git/git/master/Documentation/RelNotes/2.25.0.txt" rel="nofollow noreferrer">git v2.25.0</a>, also tested with v2.26.2. This trick doesn't work with v2.30.1
<h3>TLDR</h3>
<pre class="lang-sh prettyprint-override"><code>git clone --no-checkout --filter=tree:0 https://github.com/opencv/opencv
cd opencv

# requires git 2.25.x to 2.26.2
git sparse-checkout set data/haarcascades
</code></pre>
You can use <a href="https://docs.docker.com/get-docker/" rel="nofollow noreferrer">Docker</a> to avoid installing a specific version of git
<pre class="lang-sh prettyprint-override"><code>git clone --no-checkout --filter=tree:0 https://github.com/opencv/opencv
cd opencv

# requires git 2.25.x to 2.26.2
docker run --rm -it -v $PWD/:/code/ --workdir=/code/ alpine/git:v2.26.2 sparse-checkout set data/haarcascades
</code></pre>
<h2>Full solution</h2>
<pre class="lang-sh prettyprint-override"><code># bare minimum clone of opencv
$ git clone --no-checkout --filter=tree:0 https://github.com/opencv/opencv
...
Resolving deltas: 100% (529/529), done.

# Downloaded only ~7.3MB , takes ~3 seconds
# du = disk usage, -s = summary, -h = human-readable
$ du -sh opencv
7.3M opencv/

# Set target dir
$ cd opencv
$ git sparse-checkout set data/haarcascades
...
Updating files: 100% (17/17), done.
# Takes ~10 seconds, depending on your specs

# View downloaded files
$ du -sh data/haarcascades/
9.4M data/haarcascades/
$ ls data/haarcascades/
haarcascade_eye.xml haarcascade_frontalface_alt2.xml haarcascade_licence_plate_rus_16stages.xml haarcascade_smile.xml
haarcascade_eye_tree_eyeglasses.xml haarcascade_frontalface_alt_tree.xml haarcascade_lowerbody.xml haarcascade_upperbody.xml
haarcascade_frontalcatface.xml haarcascade_frontalface_default.xml haarcascade_profileface.xml
haarcascade_frontalcatface_extended.xml haarcascade_fullbody.xml haarcascade_righteye_2splits.xml
haarcascade_frontalface_alt.xml haarcascade_lefteye_2splits.xml haarcascade_russian_plate_number.xml
</code></pre>
<h2>References</h2>
<ul>
<li><a href="https://github.blog/2020-01-17-bring-your-monorepo-down-to-size-with-sparse-checkout/#sparse-checkout-and-partial-clones" rel="nofollow noreferrer">git-sparse-checkout-blog</a></li>
<li><a href="https://git-scm.com/docs/git-sparse-checkout" rel="nofollow noreferrer">git-sparse-checkout-docs</a></li>
<li><a href="https://git-scm.com/docs/git-rev-list" rel="nofollow noreferrer">git-filter-props-docs</a></li>
</ul>

blocks|key|3491308|text|可以直接从cv2访问xml文件，如下所示|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3491309|cv2.data.haarcascades|code-block|syntax|javascript|3491310|下面是一个更详细的例子|3491311|face_cascade_name+=+cv2.data.haarcascades+%2B+'haarcascade_frontalface_alt.xml'
face_cascade+=+cv2.CascadeClassifier()
if+not+face_cascade.load(cv2.samples.findFile(face_cascade_name)):
++++print("Error+loading+xml+file")
++++exit(0)|3491312|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

The xml files can be accessed directly from cv2 like so
<pre class="lang-py prettyprint-override"><code>cv2.data.haarcascades
</code></pre>
heres a more detialed example
<pre class="lang-py prettyprint-override"><code>face_cascade_name = cv2.data.haarcascades + 'haarcascade_frontalface_alt.xml'
face_cascade = cv2.CascadeClassifier()
if not face_cascade.load(cv2.samples.findFile(face_cascade_name)):
 print(&quot;Error loading xml file&quot;)
 exit(0)
</code></pre>

I'm looking for a website to download haar cascades xml files from. It can be for any objects as long as its a properly working cascade.

Where can I find haar cascades xml files?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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功能1上新10个字符

功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符功能2描述100个字符。

功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符功能2上新100个字符。

功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符功能5描述100个字符

功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符功能5上新100个字符

功能4上新

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我正在寻找一个网站下载哈尔级联的xml文件。它可以用于任何对象，只要它是一个正常工作的级联。

问在哪里可以找到haar cascades xml文件？
EN

回答 12

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问在哪里可以找到haar cascades xml文件？EN

回答 12

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问在哪里可以找到haar cascades xml文件？
EN