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Processor: Intel or AMD, 4+ cores, at least 3.1 GHz each core
RAM: 4 GB
Video card: Nvidia GeForce with CUDA support (list on the official website)
Free space on hard disk: 2048 MB +.
Operating System: Windows 7 64-bit and later
.Net Framework 4.6.2 or higher
Visual C ++ redistributable 2017
Administrator rights to install and run the program
Internet: required
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The video card can be used to recognize local captchas, saves up to 40% of the processor load (depends on the CPU and GPU), and also gives an increase in the recognition speed depending on the video card model. CapMonster2 supports CUDA compatible Nvidia graphics cards, list on the official website. This video card must have the latest drivers installed. When choosing a video card, pay attention to the number of CUDA cores, memory size and bit depth. For example, using an Nvidia GeForce GTX 750 video card, recognition will be 5-15% faster than using only a CPU (4-core Intel Core i5 3.1 GHz processor) with a stable load of different types of captchas. An eight-core Xeon will already outperform this video card in performance, but you will still save CPU resources, both computational load and memory. But we do not recommend buying a super-powerful video card separately only for using CapMonster2, since the program does not use all the resources of the video card to the fullest. You will not be able to transfer all software processes to the GPU. some of the processing will still be done on the processor. In addition, you simply cannot use all the capabilities of the video card on small local captchas. |
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