perf: 在深眠中使用目标检测 #204
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perf: 在深眠中使用目标检测 #204
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这是哪个底模，用不着这么大的参数量吧 |
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就yolov8n最小的那个 |
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yolov8 最小的都 11M 了啊？彳亍吧 |
MistEO
approved these changes
Oct 1, 2024
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第一次练，数据集也没多大呢 |
MistEO
reviewed
Oct 1, 2024
| "recognition": "NeuralNetworkDetect", | ||
| "model": "LimbDetection.onnx", | ||
| "expected": 0, | ||
| "threshold": 0.1, |
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1999的深眠背景还是挺干净的，一个页面只有两个要点，我是用maafw2.0.0测试的
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我的意思是，现在的 MaaFW 有 bug，你设阈值压根不生效，实际跑的还是 0.3。等新版本了能生效了，0.1 太低了可能有问题。
要么你就把这行删了就用默认值（0.3），要么你去 CI 里下个新版本试一下 0.1 能不能用
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原本只有6M，换成onnx导出就变成11M了 |
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看最近深眠好像老有问题，随便练了个模型（也有可能是底模效果太好?），上次和这次的深眠都挂过去了，要效果不行就回退吧ᵕ᷄≀ ̠ᵕ᷅