HeatSeek is a command-line tool for downloading thermal datasets, preprocessing video, training YOLO models, and tracking objects in thermal imagery. The current focus of the package is on thermal imagery of bats.
First, clone the repository:
git clone ...
cd heatseekIt is recommended to build a conda environment for correct dependencies:
conda env create -f environment.ymlThen install the package:
pip install . --no-build-isolationAlternatively, for development:
pip install -e . --no-build-isolationheatseek train \
--data-yaml path/to/data.yaml \
--weights yolov8s.pt \
--epochs 400 \
--batch 16 \
--imgsz 640heatseek download --api-key API_KEY --workspace WORKSPACE --project PROJECT_NAME --version VERSION_NUM --nc CLASS_NUM --names CLASS_NAMEheatseek train \
--data-yaml path/to/data.yaml \
--weights yolov11s.pt \
--epochs 400 \
--batch 16 \
--imgsz 640heatseek preprocess \
--input raw_video.mp4 \
--output bg_reduced.mp4 Removes background using thermal contrast thresholding.
heatseek track \
--input video.mp4 \
--output tracks.json \
--weights yolov8.ptRuns YOLO-based detection and object tracking.
heatseek pretrack \
--input raw.mp4 \
--preprocessed bg_reduced.mp4 \
--output tracks.mp4 \
--weights yolov8.pt Runs background reduction then tracking in one go.
heatseek annotate \
--input raw.mp4 /path/to/data/folder\Click to annotate points for density data. Press 's' to save and 'n' to skip
Creates annotations of density data to train density count estimator models.
Ensure you have the following installed via:
pip install -r requirements.txtheatseek/
├── cli.py # Entry point
├── data_utils.py # Dataset download and YAML writing
├── train.py # Training logic
├── preprocess.py # Background reduction
├── detect_track.py # Detection and tracking
Example images and datasets: https://universe.roboflow.com/goingbatty/
MIT License
Copyright (c) 2025 SDZWA
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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