jojo96 / asciigan Goto Github PK

This is honestly a pretty cool project, I was thinking a GAN would be the way to do it and of course somebody did. Nicely done!

As far as improving the code, I have nothing useful to say right this second; however, the Streamlet is a great way to try before you buy (into downloading and running the thing).

I ran the following image through, was genuinely impressed, but there's no way to get the actual ASCII!
Obviously there are challenges with formatting and color and whatnot (maybe even character set?) but my hunch is this was simply an oversight. I'd love to take the text I got out of the thing and show it to some friends. Stay great!

numpy.AxisError:
filename: 193685896_4005819092837523_3349338800787390130_n.jpg

This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).

Traceback:
File "/home/appuser/venv/lib/python3.7/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 563, in _run_script
    exec(code, module.__dict__)
File "/app/asciigan/asciiGan.py", line 112, in <module>
    im = imgGen2(uploaded_file)
File "/app/asciigan/asciiGan.py", line 96, in imgGen2
    asciiart(inputf, SC, GCF, "results.png")   #default color, black to blue
File "/app/asciigan/asciiGan.py", line 41, in asciiart
    img = np.sum(np.asarray(img), axis=2)
File "<__array_function__ internals>", line 6, in sum
File "/home/appuser/venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 2260, in sum
    initial=initial, where=where)
File "/home/appuser/venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 86, in _wrapreduction
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)