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tessl/pypi-rembg

tessl install tessl/pypi-rembg@2.0.0

Remove image background using advanced AI models including U-Net, BiRefNet, and SAM with support for multiple input formats and GPU acceleration

Agent Success

Agent success rate when using this tile

84%

Improvement

Agent success rate improvement when using this tile compared to baseline

0.94x

Baseline

Agent success rate without this tile

89%

rubric.jsonevals/scenario-4/

{
  "context": "This criteria evaluates how well the engineer uses the rembg package to implement a command-line image background removal tool. The focus is on correct usage of rembg's remove() function and proper handling of image data formats supported by the package.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Uses remove function",
      "description": "The solution imports and calls the remove() function from the rembg package to process the image",
      "max_score": 50
    },
    {
      "name": "Correct input format",
      "description": "The solution passes image data to rembg.remove() in one of the supported formats (bytes, PIL.Image object, or numpy array) rather than attempting to pass file paths directly",
      "max_score": 25
    },
    {
      "name": "Output handling",
      "description": "The solution correctly handles the output from rembg.remove(), which returns the same type as the input (bytes, PIL.Image, or numpy array), and saves it appropriately to preserve the alpha channel",
      "max_score": 25
    }
  ]
}

Version

Workspace
tessl
Visibility
Public
Created
Last updated
Describes
pypipkg:pypi/rembg@2.0.x
tile.json