Comments (8)
Yes. Please take a look at function test_image at modelSVR.py.
from im-net-pytorch.
Yes. Please take a look at function test_image at modelSVR.py.
Thank you for your help,but in Class IM_SVR,data_hdf5 file is generated using voxels and images. Can I use only images to generate this file? Please give me some suggestions
from im-net-pytorch.
You can simply remove the data loading code, since the training data is not used in test_image.
from im-net-pytorch.
Thank you! but in test, I should use self.dataset_load = self.dataset_name + '_test'
and data_hdf5_name = self.data_dir+self.dataset_load+'.hdf5'
,i mean whether all_vox256_img_test.hdf5
file could be made just by images without their voxels?
from im-net-pytorch.
Yes, you can generate an hdf5 file with only 'pixels'. You can modify the data preparation code to achieve that. But why do you need an hdf5 file if you can directly input images using test_image?
from im-net-pytorch.
Th
Yes, you can generate an hdf5 file with only 'pixels'. You can modify the data preparation code to achieve that. But why do you need an hdf5 file if you can directly input images using test_image?
There is no 'test_image' in class IM_SVR... In the code downloaded, there is only 'test_mesh' and 'test_mesh_point' method in class IM_SCR, which one is 'test_image'?
from im-net-pytorch.
Please clone this repo again. I added this function this morning after seeing this issue.
from im-net-pytorch.
Please clone this repo again. I added this function this morning after seeing this issue.
Thank you!
from im-net-pytorch.
Related Issues (20)
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