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laiming997 lx709 xdck mihamerstan lex940728 eokeeffe liuxinren456852 pcanswer chy-dev249 xd-ck csj-98d-fcn's Issues
关于验证集
训练集的RGB和usrdata是怎么来的
官网的数据集只提供了X Y Z Intensity return_number number_of_returns这六个参数,请问作者处理过的数据集怎么得到RGB信息的,那个intensity和usrdata是怎么转换的啊?
请问一下你们的pickle数据怎么预处理的
test_f = open('/home/mmvc/mmvc-ny-nas/Xiang_Li_BK/Segmentation_wen/ALS_Seg/Data/test_merge_min_norm_fea_paper_height.pickle', 'rb')
这句代码里面的,pickle数据怎么生成的,代码里面好像没有
train_eval.py有错误
train_eval.py第284-287行在加载训练集数据时出现错误
# train_f = open('./Data/train_merge_min_norm_fea.pickle', 'rb')
train_xyz, train_label, train_feats = pickle.load(train_f, encoding='bytes')
# train_xyz, train_label, train_feats = pickle.load(train_f)
train_f.close()
看到作者大大在其他issue里提到直接读取训练数据集就可以,希望可以更新一下代码,万分感谢!
数据问题
您好,我按照您的要求下载了数据,但我看到您的程序中,有“.pickle”文件,想请问您是怎么对数据进行的预处理。期待您的回复。
Something about "tf_pointSIFT_compile.sh"
TF_INC=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_include())')
TF_LIB=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_lib())')
#/bin/bash
/usr/local/cuda-8.0/bin/nvcc DFCN.cu -o DFCN_g.cu.o -c -O2 -DGOOGLE_CUDA=1 -x cu -Xcompiler -fPIC
the "DFCN.cu" is not in "pointSIFT_op", so you can't only write "DFCN.cu" without its adress.
Maybe there are something wrong?
训练集数据
作者你好~ 请问这里的“train_f = open('./Data/train_merge_min_norm_fea.pickle', 'rb')”这个训练集的pickle文件是怎么得到的 我看了您的其他评论 如果从原始数据中读取,那么train_xyz怎么定义呢? num_batches = len(train_xyz)//BATCH_SIZE 这一部分怎么处理。以及代码中带有的训练数据 userdata的含义是什么?是#height above ground 那如何得到?论文里好像没有提及不是很明白 期待您的回复
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