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I've narrowed the allocation down to happening in this function. Simply swapping the image being loaded from the 10mb png over to a 1kb png drastically reduces memory consumption during this function call.
NOTE: PNG (Portable Network Graphics) image files can be compressed without losing data. TIFF (Tagged Image File Format) image files maintain all data with maximum color and depth; these files are very large in volume. PDF (Portable Document Format) files offer a nearly universal open standard, two-dimensional document exchange format that works best with text-only material. JPEG (an acronym for creators Joint Photographic Experts Group) is the most common format for storing and transmitting photographic images, losing data in the compression process.
1 To achieve full interface bandwidth, connect the product to a USB-C port on a computer or device.
2 Based on the average image size of digital cameras (10MB)
3 On average, 1 hour of 4K 30fps compressed footage creates 30GB of data.
Principle This StoredFieldsFormat compresses blocks of documents in order to improve the compression ratio compared to document-level compression. It uses the LZ4 compression algorithm by default in 16KB blocks, which is fast to compress and very fast to decompress data. Although the default compression method that is used (BEST_SPEED) focuses more on speed than on compression ratio, it should provide interesting compression ratios for redundant inputs (such as log files, HTML or plain text). For higher compression, you can choose (BEST_COMPRESSION), which uses the DEFLATE algorithm with 60KB blocks for a better ratio at the expense of slower performance. These two options can be configured like this: // the default: for high performance indexWriterConfig.setCodec(new Lucene54Codec(Mode.BEST_SPEED)); // instead for higher performance (but slower): // indexWriterConfig.setCodec(new Lucene54Codec(Mode.BEST_COMPRESSION)); File formats Stored fields are represented by two files:
Notes
This work presents first insights into the dynamics of free-surface release clouds from dynamically compressed polystyrene and pyrolytic graphite at pressures up to 200 GPa, where they transform into diamond or lonsdaleite, respectively. These ejecta clouds are released into either vacuum or various types of catcher systems, and are monitored with high-speed recordings (frame rates up to 10 MHz). Molecular dynamics simulations are used to give insights to the rate of diamond preservation throughout the free expansion and the catcher impact process, highlighting the challenges of diamond retrieval. Raman spectroscopy data show graphitic signatures on a catcher plate confirming that the shock-compressed PS is transformed. First electron microscopy analyses of solid catcher plates yield an outstanding number of different spherical-like objects in the size range between ten(s) up to hundreds of nanometres, which are one type of two potential diamond candidates identified. The origin of some objects can unambiguously be assigned, while the history of others remains speculative.
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