Extraire Video Youtube Android
Towanda Tuning
I am trying to extract style in android studio 0.8.9 using the refactor option. But it seems to be disabled for some reason. I have tried cleaning and rebuilding the project just in case and even restarting Android Studio, but nothing seems to enable the extract style option.
Want to collaborate on code errors? Have bugs you need feedback on? Looking for an extra set of eyes on your latest project? Get support with fellow developers, designers, and programmers of all backgrounds and skill levels here with the Treehouse Community! While you're at it, check out some resources Treehouse students have shared here.
Yeah, it took a bit for me. Downloading will vary depending on your internet connection. Is the extraction done now or are you still waiting?Once your done setting up the development the only other thing that will take time is starting up the emulated android device.
com.google.android.gms:play-services-mlkit-text-recognition-chinesecom.google.android.gms:play-services-mlkit-text-recognition-devanagaricom.google.android.gms:play-services-mlkit-text-recognition-japanesecom.google.android.gms:play-services-mlkit-text-recognition-korean com.google.mlkit:text-recognitioncom.google.mlkit:text-recognition-chinesecom.google.mlkit:text-recognition-devanagaricom.google.mlkit:text-recognition-japanesecom.google.mlkit:text-recognition-korean Implementation Model is dynamically downloaded via Google Play Services. Model is statically linked to your app at build time. App size About 260 KB size increase per script architecture. About 4 MB size increase per script per architecture. Initialization time Might have to wait for model to download before first use. Model is available immediately. Performance Real-time on most devices for Latin script library, slower for others. Real-time on most devices for Latin script library, slower for others. Try it out
- Play around with the sample app to see an example usage of this API.
- Try the code yourself with the codelab.
- In your project-level build.gradle file, make sure to include Google's Maven repository in both your buildscript and allprojects sections.
- Add the dependencies for the ML Kit Android libraries to your module's app-level gradle file, which is usually app/build.gradle:
If you choose to use the model in Google Play Services, you canconfigure your app to automatically download the model to the device afteryour app is installed from the Play Store. To do so, add the followingdeclaration to your app's AndroidManifest.xml file:
You can also explicitly check the model availability and request downloadthrough Google Play services ModuleInstallClient API. If you don't enable install-time modeldownloads or request explicit download, the model is downloaded the firsttime you run the scanner. Requests you make before the download hascompleted produce no results.
To recognize text in an image, create an InputImage object fromeither a Bitmap, media.Image, ByteBuffer, byte array, or a file on thedevice. Then, pass the InputImage object to theTextRecognizer's processImage method.
To create an InputImage object from a media.Image object, such as when you capture an image from a device's camera, pass the media.Image object and the image's rotation to InputImage.fromMediaImage().
To create an InputImage object from a file URI, pass the app context and file URI to InputImage.fromFilePath(). This is useful when you use an ACTION_GET_CONTENT intent to prompt the user to select an image from their gallery app.
To create an InputImage object from a ByteBuffer or a ByteArray, first calculate the image rotation degree as previously described for media.Image input. Then, create the InputImage object with the buffer or array, together with image's height, width, color encoding format, and rotation degree:
Each TextBlock represents a rectangular block of text,which contains zero or more Line objects. EachLine object represents a line of text, which contains zeroor more Element objects. Each Elementobject represents a word or a word-like entity, which contains zero or moreSymbol objects. Each Symbolobject represents a character, a digit or a word-like entity.
For each TextBlock, Line,Element and Symbol object, youcan get the text recognized in the region, the bounding coordinates of theregion and many other attributes such as rotation information, confidence scoreetc.
For ML Kit to accurately recognize text, input images must contain text that is represented by sufficient pixel data. Ideally, each character should be at least 16x16 pixels. There is generally no accuracy benefit for characters to be larger than 24x24 pixels.
So, for example, a 640x480 image might work well to scan a business card that occupies the full width of the image. To scan a document printed on letter-sized paper, a 720x1280 pixel image might be required.
If you are recognizing text in a real-time application, you should consider the overall dimensions of the input images. Smaller images can be processed faster. To reduce latency, ensure that the text occupies as much of the image as possible, and capture images at lower resolutions (keeping in mind the accuracy requirements mentioned above). For more information, see Tips to improve performance.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Since I'm a complete newbie to the android hacking world, I'm looking for an easy to understand solution to install a fresh stock firmware / ROM (not sure what the nomenclature difference is) or failing that, backing up the existing firmware and re-installing that. Naturally, the phone isn't rooted nor is the bootloader unlocked etc, nor do I currently know how to do those things.
Android OTA packages now come with a Payload.bin file that contains the individual image files of different firmware partitions. In this tutorial, we will show you how to extract the Android OTA Payload.bin file to get the individual device partition/firmware images. This could be done using the Payload Dumper Tool, either on a PC or on an Android device.
Extracting the individual device partition images from an Android OTA file could come in handy in various situations. For example, if you want to grab the stock boot image for installing Magisk and rooting your phone. Or, if you want to manually upgrade your phone to the latest software by flashing the firmware images via fastboot.
Out of the three types of extraction, logical is seen as the quickest, least intrusive, but most limited. It creates a copy of the user accessible files such as phonebook, calls, messages, some app data and other data you might expect from an iTunes or Android backup. i.e. what you can see if you manually examine each screen on the device.
Logical extraction may exclude data from certain apps if those apps do not backup into the files which form part of the extraction e.g. the default folder. To access these apps you would need access to the file system.
File system extraction is often technically seen as a type of logical extraction. As with all forms of extraction, the capabilities of a file system extraction will be device-specific. File System Extraction is slightly more data rich than a logical extraction, in file system extraction the entire filesystem is taken off of the phone.
As the use of mobile phone extraction proliferates, whether it is used by law enforcement or border security, the data from these devices will be used to challenge an individual whether in criminal, civil or immigration proceedings and procedures. There is little technical information available to individuals, to those who may represent them and those who campaign on these issues. Whilst mobile forensics is a rapidly changing field, this is an attempt to look at what is going on when those who use powerful extraction tools seek data from devices.
The use of mobile forensics raises issues complex issues relating to the reliability of the extracted data as a form of evidence, particularly if it is used by unskilled individuals who rely on the push button technologies but are not digital forensic analysts.
The password token, Weaver token and other values like the OS verified boot key are used by the TEE as inputs to a hardware-bound key derivation algorithm provided by the SoC. The general concept is having the SoC perform hardware accelerated key derivation using an algorithm like AES or HMAC keyed with a hard-wired hardware key inaccessible to software or firmware. This is meant to prevent offloading a brute force attack onto more powerful hardware without an expensive process of extracting the hardware key from the SoC.
A developer from the XDA forums has developed a program called NB0 Tools FIH Mobile to extract the contents of the nb0 file. It can read and unpack the contents of the .nb0 file, giving you access to individual files (such as system, boot, modem, etc).
Wireshark provides a variety of options for exporting packet data.This section describes general ways to export data from the main Wireshark application.There are many other ways to export or extract data from capture files, including processing tshark output and customizing Wireshark and TShark using Lua scripts.
Dear all,
I have performed logging with Xiaomi Mi11 phone (qualcomm X60). The behaviour is different from previous Xiaomi mobile phones.
Instead of obtaining several qmdl files, I obtain 1 qmdl2 file and many bin files. (about 4 bin files per minute). Information seems to be in the long bin files, however these files cannot be open with qcat tool.
Anybody knows how to extract information from these files?