增加翻译内容,更新 GIF 视频.
Signed-off-by: rick.chan <chenyang@autoai.com>
This commit is contained in:
parent
facaf8f4cf
commit
17be8bcb29
|
@ -115,9 +115,9 @@ Haar 级联分类器最著名的应用是检测图像中的人脸或身体,但
|
||||||
|
|
||||||
“If a picture is worth a thousand words this would be a million words. This is where it all comes together. The Ahh-hah moment.”
|
“If a picture is worth a thousand words this would be a million words. This is where it all comes together. The Ahh-hah moment.”
|
||||||
|
|
||||||
“This simple video helped crystalize for me how this algorithm works. Here are some observations:
|
“This simple video helped crystalize for me how this algorithm works. Here are some observations:
|
||||||
|
|
||||||
* Notice how the algorithm moves the window systematically over the image, applying the Haar features as it is trying to detect the face. This is depicted by the green rectangles.
|
* Notice how the algorithm moves the window systematically over the image, applying the Haar features as it is trying to detect the face. This is depicted by the green rectangles.
|
||||||
* Notice underneath the red boundary square, we see the classifier executing stages quickly discarding window frames that are clearly not a match (stages 1-25)
|
* Notice underneath the red boundary square, we see the classifier executing stages quickly discarding window frames that are clearly not a match (stages 1-25)
|
||||||
* To the right of the stage we see the how well it performed in identifying the face.
|
* To the right of the stage we see the how well it performed in identifying the face.
|
||||||
* Notice as it gets closer and closer to identifying the face, the number of stages increases into the 20s. (around the 1 minute mark). This demonstrates the cascading effect where the early stages are discarding the input as it has identified them as irrelevant. As it gets closer to finding a face it pays closer attention.”
|
* Notice as it gets closer and closer to identifying the face, the number of stages increases into the 20s. (around the 1 minute mark). This demonstrates the cascading effect where the early stages are discarding the input as it has identified them as irrelevant. As it gets closer to finding a face it pays closer attention.”
|
||||||
|
@ -128,11 +128,13 @@ Haar 级联分类器最著名的应用是检测图像中的人脸或身体,但
|
||||||
|
|
||||||
“Let me know if you have any questions or have any comments below.”
|
“Let me know if you have any questions or have any comments below.”
|
||||||
|
|
||||||
“I want to make sure I got this post right. It will be critical that you understand this before we go into the next section where we will implement a full Custom Object Haar Cascade detector.”
|
“I want to make sure I got this post right. It will be critical that you understand this before we go into the next section where we will implement a full Custom Object Haar Cascade detector.”
|
||||||
|
|
||||||
## Next Steps
|
## Next Steps
|
||||||
|
|
||||||
“I don't know about you, but I find the best way to understand something is by doing it. Conceptually we now have an idea for how the machine learning Haar Cascade object detection works. Now lets build a real world custom Object Detector, train it, and see it in action. I have a really cool example for us! Click on the button below.”
|
“I don't know about you, but I find the best way to understand something is by doing it. Conceptually we now have an idea for how the machine learning Haar Cascade object detection works. Now lets build a real world custom Object Detector, train it, and see it in action. I have a really cool example for us! Click on the button below.”
|
||||||
|
|
||||||
|
按钮的连接错了,所以我实在不知道作者所说的 cool example 是哪一个,不过作者网站确实有一些很酷的例子,感兴趣的朋友可以点击连接进入[作者网站](http://www.willberger.org/category/ai/),也可以自行练习一些例子,毕竟理解事物的最好方法就是实践。
|
||||||
|
|
||||||
## References
|
## References
|
||||||
|
|
||||||
|
|
Binary file not shown.
Before Width: | Height: | Size: 8.2 MiB After Width: | Height: | Size: 11 MiB |
Loading…
Reference in New Issue