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A Python Implementation for Piotr's ICCV Paper "Structured Forests for Fast Edge Detection".

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I've been trying to use the model with my own set of images but every time I call the code from an external location, it tries to recompile itself and...

``` .pyxbld/temp.linux-i686-2.7/pyrex/_RandomForests.cpp:2112:861: error: invalid conversion from ‘__pyx_t_14_RandomForests_INT32* {aka long int*}’ to ‘const int*’ [-fpermissive] der.diminfo[1].strides))), __pyx_t_16, __pyx_v_fid, __pyx_v_thr, __pyx_v_gain); ^ In file included from .pyxbld/temp.linux-i686-2.7/pyrex/_RandomForests.cpp:451:0: ./_random_forests.h:3:6: note: initializing argument 5...

Hello, I run the example from Opencv implementation https://docs.opencv.org/3.1.0/d0/da5/tutorial_ximgproc_prediction.html , with the model I provided in this repo (StructuredForests/model/forests/forest.h5) . For that, I created a python code to convert forests...

Hi! Thanks for showing your code. I'm trying to run the StructureForests.py, but I have received this: Traceback (most recent call last): File "/Users/zhuzihao/anaconda3/python.app/Contents/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2963, in run_code exec(code_obj, self.user_global_ns,...

when going to run, it gives the following error: ImportError: Building module _RandomForests failed: ["distutils.errors.CompileError: command 'C:\\\\Program Files (x86)\\\\Microsoft Visual Studio\\\\2019\\\\Community\\\\VC\\\\Tools\\\\MSVC\\\\14.20.27508\\\\bin\\\\HostX86\\\\x64\\\\cl.exe' failed with exit status 2\n"] My environment: python 3.7...

thanks for the code sharing, but i don't find any evaluating code like ODS, OIS, AP. Could you share the related contents? Much appreciated!

thank you show the code, but how to calc the ODS ,OIS,AP,etc. value. I don't find the evaluate.py...

What is the input format of the training set?