out-of-memory

How to release memory of bitmap using imageloader in android?

拜拜、爱过 提交于 2019-12-05 16:49:05
问题 I am loading images into a grid view from a server. For this, I'm using Universal Image loader. I am using the image loader inside the getview() method of the adapter. It takes the URL of the image from arraylist & loads the image from server. Images can be in 100's. I am displaying the grid view in a fragment so for each fragment there is a separate grid view. When I switch between multiple fragments for a long time I no longer get the out of memory error. Suggested solution : Release the

How to destroy Python objects and free up memory

点点圈 提交于 2019-12-05 16:29:29
问题 I am trying to iterate over 100,000 images and capture some image features and store the resulting dataFrame on disk as a pickle file. Unfortunately due to RAM constraints, i am forced to split the images into chunks of 20,000 and perform operations on them before saving the results onto disk. The code written below is supposed to save the dataframe of results for 20,000 images before starting the loop to process the next 20,000 images. However - This does not seem to be solving my problem as

Python: is the garbage collector run before a MemoryError is raised?

六月ゝ 毕业季﹏ 提交于 2019-12-05 15:51:07
In a Python code that iterates over a sequence of 30 problems involving memory- and CPU-intense numerical computations, I observe that the memory consumption of the Python process grows by ~800MB with the beginning of each of the 30 iterations and finally raises an MemoryError in the 8th iteration (where the system's memory is in fact exhausted). However, if I import gc and let gc.collect() run after each iteration, then the memory consumption remains constant at ~2.5GB and the Python code terminates nicely after solving all 30 problems. The code only uses the data of 2 consecutive problems

Android Drawable vs Asset in Image loading performance

我是研究僧i 提交于 2019-12-05 14:28:26
I'm android developer from Korea My project has features about loading large amount of huge bitmap (about 2,000 x 1,500px) I had a some experiments to compare time complexity and space complexity between Asset and Drawable By result, Asset is better than drawable in space complexity. When I load huge images using drawable, my app broken down with OutOfMemoryException : the bitmap size exceeds VM budget but when I load huge images using Asset, It works fine! Anybody know reason why this happened? or Anybody know about how Drawable works in Android framework? step-by-step. Please help. Thank you

Volley OutOfMemoryError

戏子无情 提交于 2019-12-05 14:26:10
We're getting an OutOfMemory error inside the Volley library while parsing the network response. This occurs with a large responses on crappy phones. Can this be avoided? Is there any way to tell Volley to parse the response in batches maybe? Here's the exception: 07-18 14:33:41.449 6130-6154/com.tinder E/AndroidRuntime: FATAL EXCEPTION: Thread-22 java.lang.OutOfMemoryError at java.lang.String.<init>(String.java:325) at java.lang.String.<init>(String.java:276) at com.android.volley.toolbox.JsonObjectRequest.parseNetworkResponse(JsonObjectRequest.java:66) at com.android.volley.NetworkDispatcher

Custom ListView with many images gets Out Of Memory Exception

☆樱花仙子☆ 提交于 2019-12-05 13:05:03
I'm trying to create an Android ListView that will look like Instagram pictures feed or Facebook's. I'm getting Out Of Memory Exception on my Galaxy Nexus after loading some images (only a few). I scaled them, but still, the number of images isn't fixed and theoretically can be unlimited. On Facebook and Instagram they load lots of images and other data and it works well. What do you think? Can i achieve those performances with native Android coding? If i'll create a HTML5 feed (like Facebook and Instagram) will i avoid the memory problem? It feels weird for me that I need to do so much work

Why is my c# paint method running out of memory?

只谈情不闲聊 提交于 2019-12-05 12:18:36
I'm new to c#, and trying to learn by writing some simple apps to get familiar with the syntax and .NET library. The most recent miniproject I took on is a polar clock like the one found here . One of the problems I noticed early on was that the app would constantly "flicker", which really took away from the presentation, so I read online about how to implement a double buffer, which eliminated this problem, but may or may not have something to do with the problem. Here is my onPaint method; it is called every 33ms (~30 FPS) by a timer control. Most of the rest of the app is simply handlers

out of memory error , my app's fault?

社会主义新天地 提交于 2019-12-05 11:32:36
i have a aplication on the android market , in wich exceptions and errors are catched and sent to me by acra. But i receive quite a lot out of memory errors.. In different kind of classes...some my app, some general java.. Does this always mean there is a problem in my app, or can it also be the phone ran out of memory due to a other process? Will users also get a fc dialog ? Additional Information There is nothing memory intensite in my app.. no images...no big chunks of data.. only a simple view..and most intensive a mobclix ad.. i'm new to java...so i may have a leak somewhere..but i do

Why does 'Any CPU (prefer 32-bit)' allow me to allocate more memory than x86 under .NET 4.5?

心不动则不痛 提交于 2019-12-05 11:25:32
问题 According to many SO answers and this widely cited blog post, a .NET 4.5 application built for 'Any CPU' with the 'prefer 32-bit' option selected will run as a 32-bit process on both 32-bit and 64-bit systems (unlike in .NET 4.0 and earlier). In other words, x86 and AnyCPU with 'prefer 32-bit' selected are equivalent (ignoring whether or not it can run on ARM). However, my tests have shown that on a 64-bit system an 'AnyCPU prefer 32-bit' application (which I confirm runs 32-bit) can allocate

Spark java.lang.OutOfMemoryError : Java Heap space

人走茶凉 提交于 2019-12-05 10:50:31
问题 I am geting the above error when i run a model training pipeline with spark `val inputData = spark.read .option("header", true) .option("mode","DROPMALFORMED") .csv(input) .repartition(500) .toDF("b", "c") .withColumn("b", lower(col("b"))) .withColumn("c", lower(col("c"))) .toDF("b", "c") .na.drop()` inputData has about 25 million rows and is about 2gb in size. the model building phase happens like so val tokenizer = new Tokenizer() .setInputCol("c") .setOutputCol("tokens") val cvSpec = new