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[](https://discord.com/servers/agora-999382051935506503) | ||
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# Python Package Template | ||
# DroneSwarmGPT | ||
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[](https://discord.gg/agora-999382051935506503) [](https://www.youtube.com/@kyegomez3242) [](https://www.linkedin.com/in/kye-g-38759a207/) [](https://x.com/kyegomezb) | ||
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A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more | ||
 | ||
 | ||
 | ||
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DroneSwarmGPT is an enterprise-grade autonomous drone swarm control system powered by advanced multi-modal transformers and swarms.ai technology. The system enables sophisticated coordination of multiple drones through natural language commands, visual inputs, and real-time environmental data. | ||
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## Value Proposition | ||
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DroneSwarmGPT transforms drone fleet operations by providing: | ||
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- Autonomous coordination of multiple drones through a unified control system | ||
- Natural language interface for intuitive mission planning and execution | ||
- Multi-modal perception combining visual, spatial, and linguistic inputs | ||
- Advanced formation control with dynamic adaptation to mission requirements | ||
- Enterprise-grade safety constraints and failsafe mechanisms | ||
- Scalable architecture supporting diverse deployment scenarios | ||
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## System Architecture | ||
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<antArtifact identifier="architecture-diagram" type="application/vnd.ant.mermaid" title="System Architecture Diagram"> | ||
flowchart TB | ||
subgraph Inputs | ||
A1[Visual Input] --> B1 | ||
A2[Video Stream] --> B1 | ||
A3[Text Commands] --> B1 | ||
A4[Location Data] --> B1 | ||
end | ||
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subgraph Core["DroneSwarmGPT Core"] | ||
B1[Multi-Modal Encoder] --> B2 | ||
B2[Transformer Layer] --> B3 | ||
B3[Context Processor] --> B4 | ||
B4[Action Generator] | ||
end | ||
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subgraph Outputs | ||
B4 --> C1[Drone 1 Actions] | ||
B4 --> C2[Drone 2 Actions] | ||
B4 --> C3[Drone n Actions] | ||
end | ||
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subgraph Safety | ||
D1[Safety Constraints] --> B4 | ||
D2[Formation Control] --> B4 | ||
D3[Mission Parameters] --> B4 | ||
end | ||
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## Data Flow | ||
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```mermaid | ||
sequenceDiagram | ||
participant O as Operator | ||
participant E as Encoder | ||
participant T as Transformer | ||
participant C as Controller | ||
participant D as Drones | ||
O->>E: Input Commands & Data | ||
E->>T: Encoded Features | ||
T->>C: Processed Context | ||
C->>C: Apply Safety Constraints | ||
C->>C: Generate Actions | ||
C->>D: Execute Commands | ||
D->>E: Status Updates | ||
``` | ||
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## Installation | ||
## Key Features | ||
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- Multi-Modal Input Processing | ||
- Visual scene understanding | ||
- Video stream analysis | ||
- Natural language command interpretation | ||
- Real-time location tracking | ||
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- Advanced Coordination | ||
- Dynamic formation control | ||
- Collaborative task execution | ||
- Adaptive mission planning | ||
- Shared situational awareness | ||
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- Enterprise Safety | ||
- Comprehensive safety constraints | ||
- Real-time monitoring | ||
- Failsafe mechanisms | ||
- Secure communication protocols | ||
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You can install the package using pip | ||
## Installation | ||
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```bash | ||
pip install -e . | ||
pip install droneswarmgpt | ||
``` | ||
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# Usage | ||
```python | ||
print("hello world") | ||
## Quick Start | ||
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```python | ||
from droneswarmgpt import DroneSwarmSystem | ||
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# Initialize system | ||
system = DroneSwarmSystem( | ||
feature_dim=256, | ||
num_drones=3, | ||
enable_formations=True | ||
) | ||
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# Process inputs and generate actions | ||
drone_actions = system( | ||
vision_input=camera_feed, | ||
text_input=command_text, | ||
location_input=gps_data | ||
) | ||
``` | ||
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## Enterprise & Government Applications | ||
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DroneSwarmGPT is specifically designed for: | ||
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### Code Quality 🧹 | ||
- Infrastructure Inspection | ||
- Search and Rescue Operations | ||
- Agricultural Monitoring | ||
- Security Surveillance | ||
- Emergency Response | ||
- Environmental Monitoring | ||
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- `make style` to format the code | ||
- `make check_code_quality` to check code quality (PEP8 basically) | ||
- `black .` | ||
- `ruff . --fix` | ||
## Commercial Licensing | ||
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### Tests 🧪 | ||
For enterprise licensing, governmental use, and commercial deployments, please contact: | ||
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[`pytests`](https://docs.pytest.org/en/7.1.x/) is used to run our tests. | ||
Kye@swarms.world | ||
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### Publish on PyPi 🚀 | ||
## Technical Requirements | ||
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**Important**: Before publishing, edit `__version__` in [src/__init__](/src/__init__.py) to match the wanted new version. | ||
- Python 3.12+ | ||
- PyTorch 2.0+ | ||
- CUDA-capable GPU (recommended) | ||
- 16GB RAM minimum | ||
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``` | ||
poetry build | ||
poetry publish | ||
``` | ||
## Security and Compliance | ||
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### CI/CD 🤖 | ||
DroneSwarmGPT implements enterprise-grade security measures: | ||
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We use [GitHub actions](https://github.com/features/actions) to automatically run tests and check code quality when a new PR is done on `main`. | ||
- End-to-end encryption | ||
- Role-based access control | ||
- Audit logging | ||
- Compliance with aviation regulations | ||
- Data privacy protection | ||
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On any pull request, we will check the code quality and tests. | ||
## Support | ||
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When a new release is created, we will try to push the new code to PyPi. We use [`twine`](https://twine.readthedocs.io/en/stable/) to make our life easier. | ||
Enterprise customers receive: | ||
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The **correct steps** to create a new realease are the following: | ||
- edit `__version__` in [src/__init__](/src/__init__.py) to match the wanted new version. | ||
- create a new [`tag`](https://git-scm.com/docs/git-tag) with the release name, e.g. `git tag v0.0.1 && git push origin v0.0.1` or from the GitHub UI. | ||
- create a new release from GitHub UI | ||
- 24/7 Technical Support | ||
- Custom Integration Assistance | ||
- Training and Documentation | ||
- Regular Security Updates | ||
- Deployment Consultation | ||
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The CI will run when you create the new release. | ||
## Powered By | ||
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# Docs | ||
We use MK docs. This repo comes with the zeta docs. All the docs configurations are already here along with the readthedocs configs. | ||
[swarms.ai](https://swarms.ai) - Advanced AI Solutions for Enterprise | ||
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--- | ||
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© 2024 The Swarm Corporation. All Rights Reserved. | ||
</antArtifact> | ||
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# License | ||
MIT | ||
This README provides a comprehensive overview of DroneSwarmGPT while maintaining a professional, enterprise-focused tone. Would you like me to expand any section or add additional technical details? |