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resolveAttribute(attributeId, typedValue, true); int colorRes = sourceId; int color = -1; try { color = tResources(). getColor(colorRes);} catch (tFoundException e) { Log. w(TAG, "Not found color resource by id: " + colorRes);} return color;} Get Drawable: @Nullable public static Drawable getAttributeDrawable( int drawableRes = sourceId; Drawable drawable = null; drawable = tResources(). getDrawable(drawableRes);} catch (tFoundException e) { Log. w(TAG, "Not found drawable resource by id: " + drawableRes);} return drawable;} Note that if there is a lack of such attribute defined in theme of an Activity, and exception tFoundException will be thrown from these methods.
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Estimated remaining time will be showed once the process starts. Based on the original size & enlarging configurations, time needed is different. The actual processing time is usually shorter than that estimated. My enlarging failed! Why? Depending on your network environment and the current number of online users of, there is a small chance that your enlarging will fail. If you encounter such a problem, please try again. Should I keep my browser open after starting? If you have not logged in, yes! You need keep your browser open, otherwise the enlarged image will be lost. If you have already logged in, you can close your browser as we support offline enlarging. How to view my enlarging history? Enlarging history can be viewed after logging in. I want to enlarge more images. How can I do that? In order to support maintenance this website, we offer paid services. Once upgraded, you can use an independent high performance server to make your enlarging faster and more stable, and more. Privacy policy?
FAQ App Download How bigjpg enlarging images? Using the latest Deep Convolutional Neural Networks. It intelligently reduces noise and serration in images to enlarge them without losing quality. See demo images Does bigjpg support API? Yes! You can find it after login. What are the differences with others? With other software such as PS, enlarged images still look fuzzy, and have visible blur and noise. Our product uses the neural network with a special algorithm adjusted for the images' lines & color, thus making the enlarging effect excellent. Colors are well kept, and almost no gitter or doubling is visible. More importantly, the noise, which seriously influences quality, cannot be seen in result images. What images are best enlarged? Anime images and illustrations are nearly perfectly processed, colors, details and edges are all well kept. Regular photos are supported as well. What are the maximum limits on uploaded image? Currently free user 3000x3000px, 5M; paid user 50M. How about the speed?
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For uploading data to Colab, you have three methods. Method 1 You can directly upload file or directory in Colab UI The data is saved in Colab local machine. In my experiment, there are three features: 1) the upload speed is good. 2) it will remain directory structure but it will not unzip directly. You need to execute this code in Colab cell! makedir {dir_name}! unzip {zip_file} -d {dir_name} 3) Most importantly, when Colab crashes, the data will be deleted. Method 2 Execute the code in Colab cell: from import files uploaded = () In my experiment, when you run the cell, it appears the upload button. and when the cell executing indicator is still running, you choose a file. 1) After execution, the file name will appear in the result panel. 2)Refresh Colab files, you will see the file. 3) Or execute! ls, you shall see you file. If not, the file is not uploaded successfully. Method 3 If your data is from kaggle, you can use Kaggle API to download data to Colab local directory. Method 4 Upload data to Google Drive, you can use 1)Google Drive Web Browser or 2) Drive API ().