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In line 49 in the `process.py` file, the saved result is `self._case_results[0]`. However, if there are series of images in the testing dir, the result `self._case_results` is like: `[[2.8333334922790…
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@bgshih
I am trying to train crnn on a synthetic dataset that I generated. Along with english alphabets and digits (0-9) it contains special characters like $,@,# etc. I was able to modify the utili…
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I used nerf lego synthetic dataset.
my `nerf_lego.json` is
```json
{
"ref_mesh": "data/nerf_synthetic/lego",
"random_textures": true,
"iter": 5000,
"save_interval": 100,
…
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Hi,
I am using the downloaded executable for Mac (on M1) to enhance few images to test the effectiveness of this GAN for my dataset..
While 4x is working pretty good given my dataset is that of …
vanga updated
2 years ago
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i encountered the RuntimeError(CUDA out of memory) when trying to reproduce "python -u train.py -s /home/weiqi/Project/data/ref_real/gardenspheres --eval --iterations 61000 --longer_prop_iter 36_000 …
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In the paper, it is written that by training the network E we are able to generate diverse images from given inputs. I have trained the network with **--instance_feat** and **--n_clusters 10**. Howeve…
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Hi,
Sorry for the naïve question, I have downloaded the synthetic images (~38GB), depth maps (15GB), segmentation maps(7GB), and raw images (~9GB) from the SynthText repo. I'm wondering how did you…
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For future features planning it'd be worth to explore possibilities in ML.NET enabling GAN (Generative Adversarial Networks) implementation in ML.NET + TensorFlow.
Most popular use cases are relate…
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# Use the following to generate the point set
```python
import numpy as np
from numpy.random import multivariate_normal, shuffle
def generate_synthetic_2dpoints(mean, cov, npoints):
poin…
mithi updated
5 years ago