Skin Tone Classifier Execution in Google Colab" about skintoneclassifier

[ChenglongMa]

Hi @Arslankmb, thanks for your feedback!

TL;DR

1. You can ignore this error because it won't affect the results. You can still find the result files in the debug folder and result.csv.
2. When you process multiple images, no error will be reported. The error is only popped up when processing one image.
3. I will fix this issue in the next version.

Thanks!

---

Detailed explanation

stone was originally designed for command line use, not for Jupyter Notebook, so I hadn't considered this issue before.

I have tested the library in a Google Colab notebook and included some working examples (You can also check it by clicking here).
I found that this issue is caused by the OpenCV being incompatible with web browsers (like Google Colab, and Jupyter Notebook).

This issue occurs only when processing a single image, as stone specifically displays the resulting window when only ONE image is being processed.

I will fix this issue in the next version.

Thanks for your attention and patience!

[ChenglongMa]

Hi @Arslankmb,

Finally, I decided to remove this small function. Please run pip install skin-tone-classifier --upgrade to upgrade the library to v1.0.1. It won't show the resulting window when processing a single image and also won't report the error in notebooks.

Thanks!

[ChenglongMa]

For those looking for help and find this:
stone now can be imported into other projects or Jupyter Notebook env as a library since version 1.1.0.

Please run the following command to upgrade it to version 1.1.0.

pip install skin-tone-classifier --upgrade

Following README#9-used-as-a-library-by-importing-into-other-projects to import stone, e.g.,

import stone

result = stone.process('example.jpeg', , image_type='color')

Then the result would be:

{
  "basename": "example",
  "extension": ".jpeg",
  "image_type": "color",
  "faces": [
    {
      "dominant_colors": [
        {
          "color": "#D7B19F",
          "percent": "0.62"
        },
        {
          "color": "#7A4E3B",
          "percent": "0.38"
        }
      ],
      "skin_tone": "#BEA07E",
      "tone_label": "CG",
      "accuracy": 82.27,
      "face_id": 1
    }
  ],
  "report_images": {
    "1": null
  }
}

Thanks!