the box
There are two common forms
Axis aligned bounding box
Oriented bounding box
AABB axis alignment box.
OBB oriented surround box.
It is a method to simplify collision and perimeter testing. Pack a bunch of things in a box
I found a picture, which shows a very good image. I wrapped the villain up and determined that the villain is not in the same area. I decided that his box would be much faster.
OBB
WRITE_MEDIA_STORAGE permission to obtain full read/write permissions for the SD card.
Android 4.4 adds the following functions to access external storage:
Context. getExternalFilesDirs (null), returns the files directory of the private data zone of the Application for multiple SD cards.
/Storage/sdcard0/Android/data//Storage/sdcard1/Android/data/
Context. getExternalCacheDirs (), return the cache directory of the private database of the application under multiple SD cards
fact, every subscriber has this update, so we should usually add it to the prototype of the constructor. When the default update function does not meet the requirements, you can set an independent update for each subscriber's instance, for example, sending this data to someone else. Finally, let's look at how to apply it.
// Var oba = new Subscribe (), obb = new Subscribe (); var pba = new Publisher (); pba. addOb (oba); pba. addOb (
/priv-app directory application) can be used to obtain full access to the SD card by using Write_media_storage permissions.
Android 4.4 Adds the following function to access external storage:
Context.getexternalfilesdirs (NULL), returns the files directory of the application private data area for multiple SD cards
/storage/sdcard0/android/data/
/storage/sdcard1/android/data/
Context.getexternalcachedirs (), returns the cached directory of the application private database under multiple SD c
(buffer, endpoint [, flags]): receives data from a given endpoint, blocks, knows that the data is received, or is faulted.
Send (buffer [, flags]): synchronizes the data in the send buffer, will block, know that the data is sent to completion, or error.
Write_some (buffer): same as send.
Send_to (buffer, endpoint [, flags]): synchronously sends data to the specified endpoint. Will block, knowing that the data is being sent or error.
Available (): Returns the number of bytes that can
correct user-specific primary externalstorage based on the user a process is running.
Storage for large OBB files inAndroid/obbDirectory may be sharedbetween multiple users as an optimization.
Secondary external storage must not be writable by apps.
The default platform implementation of this feature leverages Linux kernel namespaces to create isolated Mount tables for each zygote-Forked process, and then uses bind mounts to offer the correct user
main points are captured:
Web content extractor from the outside into the spider, let spider work: see "Python instant Web crawler: API description", through the API from the Gooseeker Member Center to obtain a Web content extractor, you can make full use of MS for the visual annotation of several units to quickly generate the ability of the extractor.
The content is as follows:
So far, a complete ant plug-in based on maven2 has been developed. For the sake of convenience, the ant script I wrote here is quite simple. You can make full use of it here based on your specific project needs. Next, execute "MVN install". If the prompt is as follows, it indicates that it has been successfully published to the local repository:
D:/Eclipse/workspace/Hello-plugin> MVN install-e-o
+ Error stacktraces are turned on.
[Info]
Note: Maven is executing in of
1. Transfer Learning
In practice, because of the size of the database, we usually do not start from scratch (random initialization of parameters) to train convolution neural networks. Instead, it is usually done on a large database (for example, Imagenet, a 1000-class image classification database with a total of 1.2 million) for CNN training, a trained network (hereinafter referred to as Convnet), and convnet in the following two ways to use our project: The convnet is used as a feature
, it is enough for me to do many things. Next we will look at a specific application example. We will read two images from the hard disk, extract the feature points from the two images, match the feature points, and finally draw the image and the matching feature points. Understanding this example requires some basic knowledge of image processing, which I will not detail here. In addition, compiling this example requires opencv. the version I used is 2.3.1, and the installation and configuration
flash. (lecturer: Zhong) 1. Detailed use of the Fe-nandreader ------FE software read settings and program use ------FE read the USB memory stick when you are reading ------FE processing method for special Flash ------ The sequence of the U disk chip to determine the ------to read the chip when encountered problems and solutions, such as a double-byte chip. ------The selection and use of FE adapters ------How FE determines if the dump file read is correct ------How FE and Pc3000-flash share d
1. By now, probably grown accustomed to the concise-Decomposed and analyzed using pattern matching. This chapter showsHow to generalize this concept further. Until now, constructor patterns wereLinked to case classes. For instance, Some (x) is a valid pattern because Someis a case class. Sometimes you might wish so could write patterns likeThis without creating a associated case class. In fact, you might wishAble to create your own kinds of patterns. Extractors give you a-to-doSo. This chapter e
Prompt window, enter command: Pip install Selenium 3. A simple crawler with Amazon products 3.1 Introduce the Gooseeker rule Extractor Module gooseeker.py (: Https://github.com/FullerHua/gooseeker/tree/master/core ), custom Store directory, E:\demo\gooseeker.py introduce the Gooseeker rule extractor, It eliminates the hassle of manually writing XPath or regular expressions, and automatica
Token validation is a common Web authentication method, where it is not discussed in its specific implementationI need to implement token validation in Golang, the web framework is gin (of course it doesn't matter to the framework)
Steps are as follows
From request gettingtokenstring
will be translated into tokenstring未解密的token对象
will be 未解密的token对象 decrypted to get解密后的token对象
解密后的token对象take parameters from the inside
First, obtain the decrypted token
The funct
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orders, get the order status of the corresponding order through the regular expression extractor (get the status method through the regular extractor, see the previous blog post: Single parameter fetch, multi-parameter fetch, multi-parameter reference), and then through the Bean Shell assertion, BSF assertion and other ways to determine the status of the order, verify that it is in line with the expected,
method has very high computational complexity. To speed up this process, we typically build ROI using a less computational candidate area selection method, and later refine the bounding box using a linear regression (using the full join layer).Use the regression method to refine the original blue bounding box into red1.4 Fast R-CNNR-CNN requires a very large number of candidate areas to improve accuracy, but in fact there are many areas overlapping each other, so r-cnn training and inference is
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