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1.通过pnnx转成param和bin文件 2.基于ncnn框架,在android studio进行修改 3.在手机上执行识别 4.期望效果(电脑上实现):每张图片检测一个锚框一个标签 5.手机上效果:prob_threshold = 0.9f;nms_threshold = 0.5f;每张图片上仍然有很多的锚框和标签,并且标签还识别错误了
The text was updated successfully, but these errors were encountered:
附件是yolov5ncnn_jni.cpp源码和转换后的param文件 yolov5ncnn_jni.txt
best_sim.ncnn.param.txt
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error log | 日志或报错信息 | ログ
model | 模型 | モデル
how to reproduce | 复现步骤 | 再現方法
1.通过pnnx转成param和bin文件
2.基于ncnn框架,在android studio进行修改
3.在手机上执行识别
4.期望效果(电脑上实现):每张图片检测一个锚框一个标签
5.手机上效果:prob_threshold = 0.9f;nms_threshold = 0.5f;每张图片上仍然有很多的锚框和标签,并且标签还识别错误了
The text was updated successfully, but these errors were encountered: