Karol Żak

I'll think about implementing both options. Returning html as a string is simpler and it would be a good "quick and dirty" workaround but in longer perspective I'll think about...

Most likely the kernel size is set too large (or too small) and it's not picking up these other boxes. I advise playing around with different kernel sizes

Well there's no out of the box way to do it, but you should be able to use BoxDetect to search for boxes and combine that with results from some...

Hey @Sturaga86 ! I'd probably focus on playing around with these options: ``` # set these ranges to as close as the real pixel sizes of boxes you want to...

Hi @segalinc Could you share a code snippet of how you're running it and preferably a sample of strings that you're using as your local paths? Also what notebooks environment...

Since you mentioned it works fine when you try running ipyplot directly with string URLs I would bet that there's something funky happening when you pass your column (pandas series...

Thanks for providing additional info. I'm trying to recreate this issue but it doesn't show up in any of my test environments... I assume simply running `ipyplot.plot_images(df.path)` doesn't work either?

Are there any special characters in the image paths? Such as `space`, `&`, `$`, `%`? Could you please share few actual strings from `df.path`?

Just to be absolutely sure - if you run bellow code it displays images correctly? ```python images = ["img/60027106_1672795_141993.jpg", "img/60027106_1672795_100199.jpg", "img/60027106_1672795_15606.jpg"] ipyplot.plot_images(images) ```

And `img` directory is located in the same directory as the `.ipynb` notebook file you're running your code from? At which directory level is your jupyter server running?