tessl/pypi-rembg
Remove image background using advanced AI models including U-Net, BiRefNet, and SAM with support for multiple input formats and GPU acceleration
84
Evaluation results
83%
3%Model Download Manager
Model download management (d command)
Uses download_models function
100%
100%
Uses sessions_names
100%
100%
Model existence verification
20%
40%
Error handling
100%
80%
Correct return types
100%
100%
99%
-1%Image Background Remover CLI
CLI file processing (i command)
Uses remove() function
100%
100%
File I/O handling
100%
100%
Command-line argument parsing
100%
100%
Error handling
100%
100%
Data format compatibility
100%
93%
50%
-50%Image Background Remover
Background removal from images
Uses remove function
100%
0%
Correct input format
100%
100%
Output handling
100%
100%
100%
Image Orientation Corrector
EXIF orientation handling
Import rembg
100%
100%
Use remove function
100%
100%
File I/O handling
100%
100%
Automatic EXIF handling
100%
100%
Error handling
100%
100%
100%
Image Background Remover with Mask Quality Options
Post-processing for mask smoothing
Import rembg
100%
100%
Basic remove usage
100%
100%
File I/O handling
100%
100%
post_process_mask parameter
100%
100%
Standard vs smoothed
100%
100%
100%
Image Edge Refiner
Alpha matting for edge refinement
Uses rembg.remove
100%
100%
Enables alpha matting
100%
100%
Foreground threshold
100%
100%
Background threshold
100%
100%
Erosion size
100%
100%
Image I/O
100%
100%
100%
GPU-Accelerated Image Background Remover
Hardware acceleration (CUDA, ROCm)
Session creation with provider
100%
100%
Execution provider handling
100%
100%
Session reuse
100%
100%
Fallback handling
100%
100%
Provider detection
100%
100%
70%
Batch Image Background Remover
CLI folder/batch processing (p command)
Uses remove function
100%
100%
Session reuse
0%
0%
Proper I/O format
100%
100%
Directory traversal
100%
100%
Progress indication
100%
100%
41%
1%Image Background Removal Tool
Specialized models for specific domains (anime, portraits, clothing)
Anime model usage
40%
0%
Portrait model usage
20%
0%
Clothing model usage
40%
100%
Remove function usage
100%
80%
Model specification
0%
40%
100%
Video Frame Background Remover
Video frame processing via binary streams (b command)
Binary stream reading
100%
100%
Image format conversion
100%
100%
rembg.remove() usage
100%
100%
Session optimization
100%
100%
Output image saving
100%
100%
Frame counting
100%
100%
Install with Tessl CLI
npx tessl i tessl/pypi-rembg- Evaluated
- Agent
- Codex
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