maxorange / voxel-dcgan Goto Github PK

I run into an issue when trying to run your code:

Traceback (most recent call last): File "train.py", line 3, in <module> import model File "/home/jarvis/GoogleDrive/UIUC_Grad/coursework/CS_598-RK/project/voxel-dcgan/model.py", line 3, in <module> import util File "/home/jarvis/GoogleDrive/UIUC_Grad/coursework/CS_598-RK/project/voxel-dcgan/util.py", line 3, in <module> import binvox ImportError: No module named binvox

Is binvox a module that you need to install through pip (I can't seem to find it online)? Or is it a module you wrote that you left out?

Do you have any result of input data and output data, thanks

When I input the folder which is full of binvox format files as input paths,
The when run the code train.py
The system show that:
ValueError: Tried to convert 'reduction_indices' to a tensor and failed. Error: Argument must be a dense tensor: range(0, 1) - got shape [1], but wanted [].

I tried a lot times I have not deal with it

Hi,
I have a question about the input data:

There are complete and incomplete .binvox files set as an Input, right ? If yes, what is ca. the percentage/ amount of this data ?

Thanks a lot !

ValueError: Cannot feed value of shape (64L, 256L, 256L, 256L, 1L) for Tensor u'x0:0', which has shape '(64, 32, 32, 32, 1)'，
When I built python2.7 architecture and run the code, the system show the error.

Hello there,
As I was going through your code, I was a bit puzzled by the last operation if the discriminator:
From 'model.py' file:
m = tf.matmul(h, self.W['md'])
m = tf.reshape(m, [-1, self.n_kernels, self.dim_per_kernel])
abs_dif = tf.reduce_sum(tf.abs(tf.expand_dims(m, 3) - tf.expand_dims(tf.transpose(m, [1, 2, 0]), 0)), 2)
f = tf.reduce_sum(tf.exp(-abs_dif), 2) + self.b['md']

    h = tf.concat(1, [h, f])
    y = tf.matmul(h, self.W['h5']) + self.b['h5']
    return y

Could you explain to me this operation?

Thank you :)

Hi.
Problems reg. binvox: I still have this two failures when executing the binvox file:

**********************************************************************
File ".../binvox.py", line 29, in __main__
Failed example:
    m1.scale
Expected:
    41.133000000000003
Got:
    41.133
**********************************************************************
File ".../binvox.py", line 60, in __main__
Failed example:
    np.all(ms.data[:, np.lexsort(ms.data)] == data_ds[:, np.lexsort(data_ds)])
Expected:
    True
Got:
    False
**********************************************************************
1 items had failures:
   2 of  18 in __main__
***Test Failed*** 2 failures.

Problems when executing train.py:

 File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/tensor_shape.py", line 741, in as_dimension
    return Dimension(value)
  File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/tensor_shape.py", line 217, in __init__
    raise TypeError(
TypeError: Dimension value must be integer or None or have an __index__ method, got value '128.0' with type '<class 'float'>'

Anybody has an idea or knows the solution for these 2 problems ?
I would appreciate it a lot. Thanks !

when I write like you shown in the "How to run the code", like below:
"
import glob
import os
import subprocess
import sys

voxsize = 32
paths = glob.glob("C:/Users/20185290/Desktop/New folder (4)/*.stl")
print ("number of data:", len(paths))

with open(os.devnull, 'w') as devnull:
for i, path in enumerate(paths):
cmd = "binvox -d {0} -cb -e {1}".format(voxsize, path)
ret = subprocess.check_call(cmd.split(' '), stdout=devnull, stderr=devnull)
if ret != 0:
print ("error", i, path)
else:
print (i, path)
"
It do not work, The system shows:

File "C:\Users\20185290\AppData\Local\Continuum\anaconda3\envs\tensorflow\lib\subprocess.py", line 957, in _execute_child
startupinfo)

FileNotFoundError: [WinError 2] The system cannot find the file specified

May I know what happen to the system?

When I download the file of binvox on ubuntu and move it to the /usr/local/bin . I can't ues the bash binvox.The error is command not found.