signlang-segmenter 0.1.2

A Python library for sign language video and pose segmentation.

signlang-segmenter

A Python library for sign language segmentation.

Optical Flow

Installation

Option 1: Install the library to use it

pip install signlang-segmenter

Or install it directly from GitHub:

python -m pip install "git+https://github.com/24-mohamedyehia/signlang-segmenter.git"

Option 2: Install the project for development

If you want to modify the code and contribute, use an isolated environment and editable install:

1. Install Miniconda if needed.
2. Run:

git clone https://github.com/24-mohamedyehia/signlang-segmenter.git
cd signlang-segmenter
conda create -n signlang-segmenter python=3.11 -y
conda activate signlang-segmenter
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"

Quick Import Check

import signlang_segmenter
import signlang_segmenter.video
import signlang_segmenter.pose

Segmentation API

from signlang_segmenter.video import VideoSegmenter, SegmentExporter

segmenter = VideoSegmenter(
	roi_mode="full",
	smooth_window=11,
	min_len_sec=0.30,
	merge_gap_sec=0.45,
	pad_before_frames=10,
	pad_after_frames=12,
)

segments, info = segmenter.segment(VIDEO_PATH)
print(f"Found {len(segments)} segments: {segments}")

exporter = SegmentExporter(out_dir="../output/segments_out")
exporter.export(VIDEO_PATH, segments)

Visualization

from signlang_segmenter.video import plot_motion_segments

plot_motion_segments(segments, info)

The plot includes:

• motion raw curve
• motion smooth curve
• adaptive high/low thresholds
• shaded spans for detected segments

The info dict returned by VideoSegmenter.segment must include:

• motion_raw
• motion_smooth
• fps
• frame_idx
• th_high_arr
• th_low_arr