senior-computer-vision
World-class computer vision skill for image/video processing, object detection
by davila7Free
Description
senior-computer-vision is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It is a computer vision toolkit for processing images and video, detecting and segmenting objects, and building visual AI systems. The description names expertise in PyTorch, OpenCV, YOLO and SAM. It works through three scripts. The vision model trainer, run as python scripts/vision_model_trainer.py with an input folder and an output folder, trains a model on a set of data. The inference optimiser, run as python scripts/inference_optimizer.py against a project, analyses and speeds up how a model runs. The dataset pipeline builder, run as python scripts/dataset_pipeline_builder.py with a configuration file, builds and deploys a data pipeline. The skill describes itself as production-grade and includes a quick start and a list of its main capabilities. It is for machine learning engineers who are training or deploying vision models and need a repeatable workflow for their data and inference.…
Highlights
- Vision model trainer script
- Inference optimiser script
- Dataset pipeline builder script
- PyTorch, OpenCV, YOLO and SAM expertise
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senior-computer-vision FAQ
What does the senior-computer-vision skill do?
It helps train, optimise and deploy computer vision models for image and video tasks.
How do I install it?
Run: npx skills add https://github.com/davila7/claude-code-templates --skill senior-computer-vision
Which scripts are included?
vision_model_trainer.py, inference_optimizer.py and dataset_pipeline_builder.py.
Which tools does it name?
PyTorch, OpenCV, YOLO and SAM, according to the description.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
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