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代码中涉及到使用opencv对小地图和技能栏进行模板匹配和二值化等操作,注意,不同游戏分辨率和电脑显示器分辨率是不一致的,代码中给出的(0,0,1280,800)是本人游戏中的分辨率,而small_recgonize.py和skill_recgonize.py中的img[45:65, 1107:1270], img[733: 793, 538:750, 2]是根据不同显示器的分辨率决定的,使用时需要自己调整。
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本人训练的yolov5模型还有待提高,我的训练集只有294张图片,因此效果一般。
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识别地图中怪物
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寻找位置,释放技能,清理残余,寻找下一个门,进图
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基于yolov5识别算法实现的DNF自动脚本
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