Evoltsuki

《明日方舟:终末地》的基质自动识别工具

115
8
69% credibility
Found Feb 08, 2026 at 99 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Endfield_essence is an automatic matrix identification tool for the game Arknights: Endfield, designed to recognize graduated weapon matrices and auto-lock them using lightweight OCR, background screen capture, and flexible calibration.

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AI-Generated Review

What is Endfield_essence?

Endfield_essence is a Python desktop tool that automates scanning for perfect essences in Arknights: Endfield, identifying "graduated" weapons with ideal stats via OCR and color detection on gold-bordered items. Users calibrate screen regions once via drag-select overlays, load a CSV of target weapons, then run scans that click suspects, read text attributes, fuzzy-match against ideals, and auto-click the lock button on hits—skipping already-locked ones. It pages through inventory grids with simulated swipes, logging everything in real-time; press B to stop.

Why is it gaining traction?

With 101 stars, it stands out for Endfield players by handling fuzzy OCR errors via user-editable corrections and partial matches (85%+ exact, 60%+ tolerant), plus background window capture that works without focus stealing. Adjustable scan speed and scroll distance adapt to resolutions like 1080p or 2K, and the editable weapon database lets you define perfect 3-substat combos per gun. No alternatives match this plug-and-play precision for essence farming without manual scripting.

Who should use this?

Endfield grinders farming essences for meta weapons, especially those tired of eyeballing hundreds of gold drops across grid pages. Automation tinkerers wanting a ready Python example of OCR-plus-mouse sim for Windows games. Skip if you're on macOS/Linux or prefer pure manual play.

Verdict

Grab it if you're deep into Endfield essence optimization—solid beta v1.7 for the niche, though the 0.699999988079071% credibility score flags low tests/docs; 101 stars suggest early but active use. Polish your own CSV first for reliability.

(198 words)

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