anopara / patch-based-texture-synthesis Goto Github PK

More of a comment than a real issue. But would it be possible to include a requirement.txt so that users can jump into using this package with less keystrokes?

Hi,

is there a hard limit to the size of the example image?

Consistently getting Out of memory errors with example images larger than around 300 pixels when testing on google colab

Any help would be appreciated :)

Also getting the following error, not sure if it's the cause of the crash or an effect of it:

`modified output size: (2050, 2050, 3)
number of patches: 34

/content/patch-based-texture-synthesis/patchBasedTextureSynthesis.py:237: RuntimeWarning: invalid value encountered in true_divide
probabilities /= np.sum(probabilities) #normalize so they add up to one

ValueError Traceback (most recent call last)

in ()
6
7 pbts = patchBasedTextureSynthesis(exampleMapPath, outputPath, outputSize, patchSize, overlapSize, in_windowStep = 5, in_mirror_hor = True, in_mirror_vert = True, in_shapshots = True)
----> 8 pbts.resolveAll()

1 frames

/content/patch-based-texture-synthesis/patchBasedTextureSynthesis.py in resolveNext(self)
79 #choose random valid patch
80 probabilities = self.distances2probability(dist, self.PARM_truncation, self.PARM_attenuation)
---> 81 chosenPatchId = np.random.choice(ind, 1, p=probabilities)
82
83 #update canvas

mtrand.pyx in numpy.random.mtrand.RandomState.choice()

ValueError: probabilities contain NaN`

Hi Anastasia,
I really love your work 😊
Can you please tell me why can be this for?
Thank you.

Thanks for sharing the patch based version. I will totally include it in my current workflow.

Below is the full log:

ValueError
8 pbts = patchBasedTextureSynthesis(exampleMapPath, outputPath, outputSize, patchSize, overlapSize, in_windowStep = 5, in_mirror_hor = True, in_mirror_vert = True, in_shapshots = True)
----> 9 pbts.resolveAll()

F:\ZheChen\GitHubCode\patch-based-texture-synthesis\patchBasedTextureSynthesis.py in resolveAll(self)
46 #resolve all unresolved patches
47 for i in range(np.sum(1-self.filledMap).astype(int)):
---> 48 self.resolveNext()
49
50 if not self.snapshots:

F:\ZheChen\GitHubCode\patch-based-texture-synthesis\patchBasedTextureSynthesis.py in resolveNext(self)
75
76 #choose random valid patch
---> 77 probabilities = self.distances2probability(dist, self.PARM_truncation, self.PARM_attenuation)
78 chosenPatchId = np.random.choice(ind, 1, p=probabilities)
79

F:\ZheChen\GitHubCode\patch-based-texture-synthesis\patchBasedTextureSynthesis.py in distances2probability(self, distances, PARM_truncation, PARM_attenuation)
222 def distances2probability(self, distances, PARM_truncation, PARM_attenuation):
223
--> 224 probabilities = 1 - distances / np.max(distances)
225 probabilities *= (probabilities > PARM_truncation)
226 probabilities = pow(probabilities, PARM_attenuation) #attenuate the values

E:\anaconda3\envs\ts\lib\site-packages\numpy\core\fromnumeric.py in amax(a, axis, out, keepdims, initial)
2332 """
2333 return _wrapreduction(a, np.maximum, 'max', axis, None, out, keepdims=keepdims,
-> 2334 initial=initial)
2335
2336

E:\anaconda3\envs\ts\lib\site-packages\numpy\core\fromnumeric.py in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs)
81 return reduction(axis=axis, out=out, **passkwargs)
82
---> 83 return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
84
85

ValueError: zero-size array to reduction operation maximum which has no identity