Metadata-Version: 2.4
Name: angelcv
Version: 0.1.2
Summary: Train and inference for Computer Vision models made easy.
Author-email: Iu Ayala <iu.ayala@gradientinsight.com>
Maintainer-email: Iu Ayala <iu.ayala@gradientinsight.com>
License: Copyright 2025- Angel Protection Systems Inc.
        
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        --------------------------------------------------------------------------------
        Code in angelcv/tool/tal.py is adapted from:
        - https://github.com/fcjian/TOOD/blob/master/mmdet/core/bbox/assigners/task_aligned_assigner.py
        - https://github.com/Nioolek/PPYOLOE_pytorch/blob/master/ppyoloe/assigner/tal_assigner.py
        
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        Copyright (c) 2022 Nioolek (PPYOLOE_pytorch)
        
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        See the License for the specific language governing permissions and
        limitations under the License.
Keywords: computer-vision,deep-learning,machine-learning,AI,ML,DL,YOLO,YOLOv10,AngelCV
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: OS Independent
Requires-Python: <3.13,>=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: albumentations>=2.0.4
Requires-Dist: boto3>=1.37.3
Requires-Dist: einops>=0.8.1
Requires-Dist: lightning>=2.5.0.post0
Requires-Dist: matplotlib>=3.9.4
Requires-Dist: numpy>=2.0.2
Requires-Dist: omegaconf>=2.3.0
Requires-Dist: onnx>=1.17.0
Requires-Dist: opencv-python>=4.11.0.86
Requires-Dist: pandas>=2.2.3
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Requires-Dist: tensorboard>=2.19.0
Requires-Dist: torch>=2.6.0
Requires-Dist: torchvision>=0.21.0
Requires-Dist: tqdm>=4.67.1
Dynamic: license-file

# AngelCV

**AngelCV is an open-source, commercially-friendly computer vision library designed for ease of use, power, and extensibility.**

AngelCV is a project by [**Angel Protection System**](https://angelprotection.com/), a company at the forefront of safeguarding schools, hospitals, and other vital community spaces. They specialize in intelligent security and surveillance systems, including cutting-edge firearm detection technology that provides critical, real-time information to 911 and first responders, playing a vital role in saving lives.

Our mission is to provide cutting-edge deep learning models and tools that you can seamlessly integrate into your projects, whether for research, personal use, or commercial applications. All our code and pre-trained models are under the **Apache 2.0 License**, giving you the freedom to innovate without restrictive licensing.

*A note on our open-source commitment: Angel Protection System initially developed AngelCV to enhance its advanced computer vision capabilities for security applications. We are excited to share it with the open-source community to foster innovation and allow everyone to benefit from and contribute to its development.*

## ✨ Why AngelCV?

*   **Open & Free for Commercial Use**: Build your next big thing without worrying about licensing fees or restrictions. Our Apache 2.0 license covers both the library and our provided pre-trained models.
*   **State-of-the-Art Models**: We start with robust implementations like YOLOv10 for object detection and plan to expand to other vision tasks (classification, segmentation, oriented bounding boxes) and model architectures.
*   **Developer-Friendly Interface**: A clean, intuitive API (see `ObjectDetectionModel` and `InferenceResult`) makes common tasks like training, inference, and evaluation straightforward.
*   **Flexible Configuration**: Easily customize model architectures, training parameters, and datasets using YAML-based configuration files.
*   **Community Driven (Future)**: We aim to build a community around AngelCV.

## 🚀 Getting Started

### Installation

AngelCV will be available on PyPI. You can install it using pip:

```bash
pip install angelcv
```

Make sure you have PyTorch installed, as it's a primary dependency. You can find PyTorch installation instructions at [pytorch.org](https://pytorch.org/).

### Quick Start: Object Detection

Here's a simple example of how to load a pre-trained YOLOv10 model and perform inference on an image:

```python
from angelcv import ObjectDetectionModel

# Load a pre-trained YOLOv10n model (will download if not found locally)
# You can also specify a path to a local .ckpt or .pt file,
# or a .yaml configuration file to initialize a new model.
model = ObjectDetectionModel("yolov10n.ckpt")

# Perform inference on an image
# Source can be a file path, URL, PIL image, torch.Tensor, or numpy array.
results = model.predict("path/to/your/image.jpg")

# Process and display results
for result in results:
    print(f"Found {len(result.boxes.xyxy)} objects.")
    # Access bounding boxes (various formats available, e.g., result.boxes.xyxy_norm)
    # Access confidences: result.boxes.confidences
    # Access class IDs: result.boxes.class_label_ids
    # Access class labels (if available): result.boxes.labels

    # Show the annotated image
    result.show()

    # Save the annotated image
    result.save("output_image.jpg")
```

## 📚 Dive Deeper

For more detailed information, check out our documentation:

*   **[Getting Started](./docs/getting_started.md)**: Your first stop for installation and a quick tour.
*   **[Object Detection](./docs/object_detection.md)**: Learn about our object detection capabilities, focusing on YOLOv10.
*   **[Configuration](./docs/configuration.md)**: Understand how to use and customize model, training, and dataset configurations.
*   **[API Interfaces](./docs/interfaces.md)**: Explore the main Python classes you'll interact with.

## 🤝 Contributing

Interested in contributing? We welcome contributions of all kinds, from bug fixes to new features. (TODO: Link to contribution guidelines when ready).

## 🛠️ Development and Support

The primary developer and maintainer of AngelCV is [Iu Ayala](https://github.com/IuAyala) from **Gradient Insight**. Gradient Insight partners with businesses to design and build custom AI-powered computer vision systems, turning complex visual data into actionable insights. You can learn more about their work at [gradientinsight.com](https://gradientinsight.com).

## 📄 License

AngelCV is licensed under the **Apache 2.0 License**. See the `LICENSE` file for more details.
