matlab合并代码窗口-StructuredForests:Piotr的ICCV论文“用于快速边缘检测的结构化森林”的Python实现

上传者: 38635323 | 上传时间: 2022-05-15 10:13:24 | 文件大小: 20.66MB | 文件类型: ZIP
matlab合并代码窗口结构化森林 版本1.1 更新: 使用压缩来减小模型大小。 用Cython重写直方图功能以加快检测速度。 微调一些参数以稍微提高精度。 似乎Anaconda安装的libjpeg软件包在解码图像时存在一些错误。 解码结果与Matlab的imread输出结果不同。 因此,如果您使用Anaconda,则可以考虑卸载libjpeg,然后通过apt-get(对于Ubuntu)重新安装。 版本1.0 Piotr的ICCV论文“用于快速边缘检测的结构化森林”的Python实现。 性能几乎与Piotr的原始(Matlab)实现相同(在BSDS500上,Piotr的:[ODS = 0.738,OIS = 0.758,AP = 0.795,R50 = 0.923],我的:[ODS = 0.739,OIS = 0.759,AP = 0.796,R50 = 0.924])。 对于原始实现,请查看作者的网页:。 如何使用 平台:强烈建议使用Ubuntu 14.04 + Anaconda。 不过,我不使用任何平台相关的API。 因此,这些代码也应该在Windows / Mac OS X上也可

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