Open wxz1996 opened 4 years ago
Unfortunately I haven’t tried it with other versions of the TF.
On 10 Jul 2020, at 11:34, wxz1996 notifications@github.com wrote:
when i compile warp_by_flow int tf1.15, it remind me the error ‘’‘#include "tensorflow/core/util/cuda_kernel_helper.h"’‘’ not exist it seems that tf1.15 had remove it, did you test it in any other tf version
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@sylqiu thanks, i have another question, i download the dataset ToFFlyingThings3D.zip and unzip it, but there has no folder "nogt" and "real" ... should i need to use the script in "Tof_pbrt_generation.zip" to generate "nogt" and "real" ?
They are loaders for loading data without ground truth for testing for instance on your own data. You can check the implementation in the data loader file.
On 10 Jul 2020, at 18:02, wxz1996 notifications@github.com wrote:
@sylqiu thanks, i have another question, i download the dataset ToFFlyingThings3D.zip and unzip it, but there has no folder "nogt" and "real" ... should i need to use the script in "Tof_pbrt_generation.zip" to generate "nogt" and "real" ?
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@sylqiu got it, but i can't find the real data, 'RealData/vivo_data/test_vivo5/' and 'RealData/vivo_data/test_vivo5/' int your rep or google driver
Unfortunately, the real dataset cannot be released, however we do have a sample included in the drive.
On 11 Jul 2020, at 17:08, wxz1996 notifications@github.com wrote:
@sylqiu got it, but i can't find the real data, 'RealData/vivo_data/test_vivo5/' and 'RealData/vivo_data/test_vivo5/' int your rep or google driver
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@sylqiu but when i run " model.single_test()" and "dataset_name = nogt", "self.path = '/data/wenxuanzheng/ToFFlyingThings3D/' set in TestingConfig, it remind me loss real data, and i didn't find any sample end with '_reg_ir.png' and "_reg_depth.raw", is "nogt" real data sample?
···parser.add_argument('--dataset_name', type=str, default='simtof', help='dataset')
parser.add_argument('--dataset2_name', type=str, default='none', help='dataset')
parser.add_argument('--is_training', type=int, default=0, help='True:1 or False:0')
parser.add_argument('--is_from_scratch', type=int, default=0, help='Pretraining ?')
parser.add_argument('--pretrain_ckpt_path', type=str, default='none', help='path to weight file')
parser.add_argument('--save', type=str, default='./Experiment/', help='where to save stuff')
parser.add_argument('--sigma', type=str, default=0, help='perturbation strength with mvg_aug in testing mode, set 0 to use uniform perturbation, see loaders.py for definition')
parser.add_argument('--mvg_aug', type=int, default=1, help='set 1 to use multiview geometry augmentation')···
and ··· class TestingConfig(object): def init(self): self.wlast = '/home/wenxuanzheng/pc_compression/tof_rgbd_processing/Experiment/checkpoint/ckpt' self.output_save_dir ='./results' self.bs = 1
self.path = '/data/wenxuanzheng/ToFFlyingThings3D/'
self.use_fifo = False
··· this is my default set, but it report cuda error"Check failed: cusolverDnCreate(&cusolver_dn_handle) == CUSOLVER_STATUS_SUCCESS Failed to create cuSolverDN instance.", and i don't know it is the compile error in custom tf_op or the parameter set error
Hmm, this is strange and I never seen it before. You can try replacing the cuda op by implementing python code counterparts.
On 13 Jul 2020, at 16:41, wxz1996 notifications@github.com wrote:
···parser.add_argument('--dataset_name', type=str, default='simtof', help='dataset') parser.add_argument('--dataset2_name', type=str, default='none', help='dataset') parser.add_argument('--is_training', type=int, default=0, help='True:1 or False:0') parser.add_argument('--is_from_scratch', type=int, default=0, help='Pretraining ?') parser.add_argument('--pretrain_ckpt_path', type=str, default='none', help='path to weight file') parser.add_argument('--save', type=str, default='./Experiment/', help='where to save stuff') parser.add_argument('--sigma', type=str, default=0, help='perturbation strength with mvg_aug in testing mode, set 0 to use uniform perturbation, see loaders.py for definition') parser.add_argument('--mvg_aug', type=int, default=1, help='set 1 to use multiview geometry augmentation')··· ···class TestingConfig(object): def init(self):
self.wlast = '/home/wenxuanzheng/pc_compression/tof_rgbd_processing/Experiment/checkpoint/ckpt' self.output_save_dir ='./results' self.bs = 1``` #dataset path self.path = '/data/wenxuanzheng/ToFFlyingThings3D/' self.use_fifo = False
··· this is my default set, but it report cuda error"Check failed: cusolverDnCreate(&cusolver_dn_handle) == CUSOLVER_STATUS_SUCCESS Failed to create cuSolverDN instance.", and i don't know it is the compile error in custom tf_op or the parameter set error
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nToF is the folder of real data sample? but it is not end with _reg_depth.raw ...
when i compile warp_by_flow int tf1.15 with cuda10.0, it remind me the error
include "tensorflow/core/util/cuda_kernel_helper.h" not exist
it seems that tf1.15 had remove it, did you test it in any other tf version