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Package/python/src/bellande_limit/Bellande_Step
Executable file
BIN
Package/python/src/bellande_limit/Bellande_Step
Executable file
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Package/python/src/bellande_limit/__init__.py
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Package/python/src/bellande_limit/__init__.py
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@ -0,0 +1,3 @@
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"""
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ros_extension
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"""
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98
Package/python/src/bellande_limit/bellande_limit_api.py
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Package/python/src/bellande_limit/bellande_limit_api.py
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# Copyright (C) 2024 Bellande Robotics Sensors Research Innovation Center, Ronaldson Bellande
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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#!/usr/bin/env python3
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import requests
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import argparse
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import json
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import sys
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def make_bellande_limit_request(node0, node1, environment, size, goal, obstacles=None, search_radius=50, sample_points=20):
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url = "https://bellande-robotics-sensors-research-innovation-center.org/api/Bellande_Limit/bellande_limit"
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# Convert string inputs to lists if they're strings
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if isinstance(node0, str):
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node0 = json.loads(node0)
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if isinstance(node1, str):
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node1 = json.loads(node1)
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if isinstance(environment, str):
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environment = json.loads(environment)
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if isinstance(size, str):
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size = json.loads(size)
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if isinstance(goal, str):
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goal = json.loads(goal)
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if isinstance(obstacles, str):
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obstacles = json.loads(obstacles)
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payload = {
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"node0": node0,
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"node1": node1,
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"environment": environment,
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"size": size,
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"goal": goal,
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"obstacles": obstacles or [],
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"search_radius": search_radius,
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"sample_points": sample_points,
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"auth": {
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"authorization_key": "bellande_web_api_opensource"
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}
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}
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headers = {
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'accept': 'application/json',
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'Content-Type': 'application/json'
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}
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try:
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response = requests.post(url, json=payload, headers=headers)
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response.raise_for_status()
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return response.json()
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except requests.RequestException as e:
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print(f"Error making request: {e}", file=sys.stderr)
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sys.exit(1)
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def main():
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parser = argparse.ArgumentParser(description="Run Bellande Limit API")
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parser.add_argument("--node0", required=True, help="Starting point coordinates as JSON-formatted list")
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parser.add_argument("--node1", required=True, help="Target point coordinates as JSON-formatted list")
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parser.add_argument("--environment", required=True, help="Environment dimensions as JSON-formatted list")
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parser.add_argument("--size", required=True, help="Step sizes for each dimension as JSON-formatted list")
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parser.add_argument("--goal", required=True, help="Goal coordinates as JSON-formatted list")
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parser.add_argument("--obstacles", help="List of obstacles as JSON-formatted list of objects with 'position' and 'dimensions'")
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parser.add_argument("--search-radius", type=float, default=50.0, help="Search radius for obstacle detection")
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parser.add_argument("--sample-points", type=int, default=20, help="Number of sample points for obstacle detection")
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args = parser.parse_args()
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try:
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result = make_bellande_limit_request(
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args.node0,
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args.node1,
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args.environment,
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args.size,
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args.goal,
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args.obstacles,
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args.search_radius,
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args.sample_points
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)
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print(json.dumps(result, indent=2))
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except json.JSONDecodeError as e:
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print(f"Error: Invalid JSON format in input parameters - {e}", file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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101
Package/python/src/bellande_limit/bellande_limit_executable.py
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101
Package/python/src/bellande_limit/bellande_limit_executable.py
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# Copyright (C) 2024 Bellande Robotics Sensors Research Innovation Center, Ronaldson Bellande
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
|
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# the Free Software Foundation, either version 3 of the License, or
|
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
|
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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#!/usr/bin/env python3
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import subprocess
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import argparse
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import json
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import os
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import sys
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def get_executable_path():
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if getattr(sys, 'frozen', False):
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application_path = sys._MEIPASS
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else:
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application_path = os.path.dirname(os.path.abspath(__file__))
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return os.path.join(application_path, 'Bellande_Limit')
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def run_bellande_limit(node0, node1, environment, size, goal, obstacles=None, search_radius=50, sample_points=20):
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executable_path = get_executable_path()
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passcode = "bellande_limit_executable_access_key"
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# Convert string representations to actual lists/objects
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node0_list = json.loads(node0)
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node1_list = json.loads(node1)
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environment_list = json.loads(environment)
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size_list = json.loads(size)
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goal_list = json.loads(goal)
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obstacles_list = json.loads(obstacles) if obstacles else []
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# Validate input dimensions
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dimensions = len(environment_list)
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if not all(len(x) == dimensions for x in [node0_list, node1_list, size_list, goal_list]):
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raise ValueError(f"All coordinates must have {dimensions} dimensions")
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# Validate obstacles
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for obstacle in obstacles_list:
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if len(obstacle['position']) != dimensions or len(obstacle['dimensions']) != dimensions:
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raise ValueError(f"Obstacle position and dimensions must have {dimensions} dimensions")
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# Prepare the command
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command = [
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executable_path,
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passcode,
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json.dumps(node0_list),
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json.dumps(node1_list),
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json.dumps(environment_list),
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json.dumps(size_list),
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json.dumps(goal_list),
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json.dumps(obstacles_list),
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str(search_radius),
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str(sample_points)
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]
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# Run the command
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try:
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result = subprocess.run(command, check=True, capture_output=True, text=True)
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print(result.stdout)
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except subprocess.CalledProcessError as e:
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print("Error occurred:", e)
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print("Error output:", e.stderr)
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def main():
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parser = argparse.ArgumentParser(description="Run Bellande Limit Executable")
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parser.add_argument("--node0", required=True, help="Starting point coordinates as JSON-formatted list")
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parser.add_argument("--node1", required=True, help="Target point coordinates as JSON-formatted list")
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parser.add_argument("--environment", required=True, help="Environment dimensions as JSON-formatted list")
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parser.add_argument("--size", required=True, help="Step sizes for each dimension as JSON-formatted list")
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parser.add_argument("--goal", required=True, help="Goal coordinates as JSON-formatted list")
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parser.add_argument("--obstacles", help="List of obstacles as JSON-formatted list of objects with 'position' and 'dimensions'")
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parser.add_argument("--search-radius", type=float, default=50.0, help="Search radius for obstacle detection")
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parser.add_argument("--sample-points", type=int, default=20, help="Number of sample points for obstacle detection")
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args = parser.parse_args()
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run_bellande_limit(
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args.node0,
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args.node1,
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args.environment,
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args.size,
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args.goal,
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args.obstacles,
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args.search_radius,
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args.sample_points
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)
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if __name__ == "__main__":
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main()
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160
README.md
160
README.md
@ -1,16 +1,5 @@
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# 📦 Bellande Limit
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![Demo GIF](bellande_limit_api_package.gif)
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## Preprint
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- [![Preprint](https://img.shields.io/badge/Preprint-Bellande%20Step-0099cc?style=for-the-badge)](https://dapp.orvium.io/deposits/6650ccb8afb407dc8beb0ff2/view)
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# Preprint Citation
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```
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Bellande, R. (2024). Efficient Step Function for Infinite Multi-Dimensional Node Calculation within Model-Integrated Dimensional Space [version 1] [preprint]. Mathematics.
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```
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## 🧙 Organization Website
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- [![Organization Website](https://img.shields.io/badge/Explore%20Our-Website-0099cc?style=for-the-badge)](https://robotics-sensors.github.io)
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@ -21,7 +10,7 @@ Bellande, R. (2024). Efficient Step Function for Infinite Multi-Dimensional Node
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- **Ronaldson Bellande**
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## Bellande Limit Executables & Models
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- [![Bellande Limit Models & Executables ](https://img.shields.io/badge/Bellande%20Step-Models/Executables-0099cc?style=for-the-badge)](https://github.com/Artificial-Intelligence-Computer-Vision/bellande_step_models_executables)
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- [![Bellande Limit Models & Executables ](https://img.shields.io/badge/Bellande%20Step-Models/Executables-0099cc?style=for-the-badge)](https://github.com/Artificial-Intelligence-Computer-Vision/bellande_limit_models_executables)
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# API HTTP Usability (BELLANDE FORMAT)
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```
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@ -80,7 +69,15 @@ Bellande_Framework_Access_Key: bellande_web_api_opensource
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{
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"node0": [0, 0, 0],
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"node1": [100, 100, 100],
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"environment": [1000, 1000, 1000],
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"size": [10, 10, 10],
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"goal": [200, 200, 200],
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"obstacles": [
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{
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"position": [50, 50, 50],
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"dimensions": [20, 20, 20]
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}
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],
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"search_radius": 50,
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"sample_points": 20,
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"auth": {
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@ -90,7 +87,7 @@ Bellande_Framework_Access_Key: bellande_web_api_opensource
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```
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# 🧙 Website Bellande API Testing
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- [![Website API Testing](https://img.shields.io/badge/Bellande%20API-Testing-0099cc?style=for-the-badge)](https://bellanderoboticssensorsresearchinnovationcenterwebsite-kot42qxp.b4a.run/api/bellande_step_experiment)
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- [![Website API Testing](https://img.shields.io/badge/Bellande%20API-Testing-0099cc?style=for-the-badge)](https://bellande-robotics-sensors-research-innovation-center.org/api/bellande_limit_experiment)
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# Quick Bellande API Testing
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```
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@ -101,7 +98,15 @@ curl -X 'POST' \
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-d '{
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"node0": [0, 0, 0],
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"node1": [100, 100, 100],
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"environment": [1000, 1000, 1000],
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"size": [10, 10, 10],
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"goal": [100, 100, 100],
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"obstacles": [
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{
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"position": [50, 50, 50],
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"dimensions": [20, 20, 20]
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}
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],
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"search_radius": 50,
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"sample_points": 20,
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"auth": {
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@ -110,132 +115,6 @@ curl -X 'POST' \
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}'
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```
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# BS(Bellande Step) Algorithm API
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## Experiment 1 -- Limit = 1
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| ![2D](graphs_charts/graph_charts_1/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_1/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_1/4D_Space.png) *Figure 4D* |
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|:------------------------------------------------------------:|:------------------------------------------------------------:|:------------------------------------------------------------:|
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| ![5D](graphs_charts/graph_charts_1/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_1/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_1/7D_Space.png) *Figure 7D* |
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| ![8D](graphs_charts/graph_charts_1/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_1/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_1/10D_Space.png) *Figure 10D* |
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## Experiment 2 -- Limit = 25
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| ![2D](graphs_charts/graph_charts_25/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_25/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_25/4D_Space.png) *Figure 4D* |
|
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|:-------------------------------------------------------------:|:-------------------------------------------------------------:|:-------------------------------------------------------------:|
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| ![5D](graphs_charts/graph_charts_25/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_25/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_25/7D_Space.png) *Figure 7D* |
|
||||
| ![8D](graphs_charts/graph_charts_25/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_25/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_25/10D_Space.png) *Figure 10D* |
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||||
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||||
|
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## Experiment 3 -- Limit = 50
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||||
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||||
| ![2D](graphs_charts/graph_charts_50/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_50/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_50/4D_Space.png) *Figure 4D* |
|
||||
|:-------------------------------------------------------------:|:-------------------------------------------------------------:|:-------------------------------------------------------------:|
|
||||
| ![5D](graphs_charts/graph_charts_50/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_50/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_50/7D_Space.png) *Figure 7D* |
|
||||
| ![8D](graphs_charts/graph_charts_50/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_50/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_50/10D_Space.png) *Figure 10D* |
|
||||
|
||||
|
||||
## Experiment 4 -- Limit = 75
|
||||
|
||||
| ![2D](graphs_charts/graph_charts_75/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_75/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_75/4D_Space.png) *Figure 4D* |
|
||||
|:-------------------------------------------------------------:|:-------------------------------------------------------------:|:-------------------------------------------------------------:|
|
||||
| ![5D](graphs_charts/graph_charts_75/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_75/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_75/7D_Space.png) *Figure 7D* |
|
||||
| ![8D](graphs_charts/graph_charts_75/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_75/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_75/10D_Space.png) *Figure 10D* |
|
||||
|
||||
|
||||
## Experiment 5 -- Limit = 100
|
||||
|
||||
| ![2D](graphs_charts/graph_charts_100/2D_Space.png) *Figure 2D* | ![3D](graphs_charts/graph_charts_100/3D_Space.png) *Figure 3D* | ![4D](graphs_charts/graph_charts_100/4D_Space.png) *Figure 4D* |
|
||||
|:--------------------------------------------------------------:|:--------------------------------------------------------------:|:--------------------------------------------------------------:|
|
||||
| ![5D](graphs_charts/graph_charts_100/5D_Space.png) *Figure 5D* | ![6D](graphs_charts/graph_charts_100/6D_Space.png) *Figure 6D* | ![7D](graphs_charts/graph_charts_100/7D_Space.png) *Figure 7D* |
|
||||
| ![8D](graphs_charts/graph_charts_100/8D_Space.png) *Figure 8D* | ![9D](graphs_charts/graph_charts_100/9D_Space.png) *Figure 9D* | ![10D](graphs_charts/graph_charts_100/10D_Space.png) *Figure 10D* |
|
||||
|
||||
|
||||
|
||||
# Check Out Research Organization for open-source/semi-open-source API
|
||||
- https://robotics-sensors.github.io
|
||||
- Check out website for more information avaliable open-source API
|
||||
|
||||
# Package via Executable
|
||||
- Infinite Space
|
||||
|
||||
```
|
||||
bellande_step "[0, 0, 0]" "[100, 100, 100]" 75 3
|
||||
```
|
||||
# API in api_docs
|
||||
- 2D Space
|
||||
- 3D Space
|
||||
- 4D Space
|
||||
- 5D Space
|
||||
- 6D Space
|
||||
- 7D Space
|
||||
- 8D Space
|
||||
- 9D Space
|
||||
- 10D Space
|
||||
|
||||
|
||||
# Can also checkout portion of the docs at [Portion API DOCS](https://github.com/Robotics-Sensors/bellande_robots_step/blob/main/api_docs.md)
|
||||
### ✔️ confirmed versions
|
||||
- `The step function efficiently computes the next step towards a target node within a specified distance limit.`
|
||||
|
||||
## Usage 2D Space
|
||||
|
||||
Suppose you have two nodes representing positions in a 2D space:
|
||||
- `node0` at coordinates `(0, 0)`
|
||||
- `node1` at coordinates `(5, 5)`
|
||||
|
||||
You want to compute the next step from `node0` towards `node1` while limiting the maximum distance to 3 units.
|
||||
|
||||
```python
|
||||
# Define Import
|
||||
from bellande_step.bellande_step_2d import bellande_step_2d
|
||||
|
||||
# Define the nodes
|
||||
node0 = Node2D(0, 0)
|
||||
node1 = Node2D(5, 5)
|
||||
|
||||
# Compute the next step within a distance limit of 3 units
|
||||
next_step = bellande_step_2d(node0, node1, limit=3)
|
||||
|
||||
# Output the coordinates of the next step
|
||||
print("Next Step Coordinates:", next_step.coord)
|
||||
```
|
||||
|
||||
## Usage 3D Space
|
||||
|
||||
Suppose you have two nodes representing positions in a 3D space:
|
||||
- `node0` at coordinates `(0, 0, 0)`
|
||||
- `node1` at coordinates `(5, 5, 5)`
|
||||
|
||||
You want to compute the next step from `node0` towards `node1` while limiting the maximum distance to 3 units.
|
||||
|
||||
```python
|
||||
# Define Import
|
||||
from bellande_step.bellande_step_3d import bellande_step_3d
|
||||
|
||||
# Define the nodes
|
||||
node0 = Node3D(0, 0, 0)
|
||||
node1 = Node3D(5, 5, 5)
|
||||
|
||||
# Compute the next step within a distance limit of 3 units
|
||||
next_step = bellande_step_3d(node0, node1, limit=3)
|
||||
|
||||
# Output the coordinates of the next step
|
||||
print("Next Step Coordinates:", next_step.coord)
|
||||
```
|
||||
|
||||
### Avaliable
|
||||
- 2D Space
|
||||
- 3D Space
|
||||
- 4D Space
|
||||
- 5D Space
|
||||
- 6D Space
|
||||
- 7D Space
|
||||
- 8D Space
|
||||
- 9D Space
|
||||
- 10D Space
|
||||
|
||||
|
||||
## Website PYPI
|
||||
- https://pypi.org/project/bellande_limit
|
||||
|
||||
@ -247,9 +126,8 @@ print("Next Step Coordinates:", next_step.coord)
|
||||
|
||||
```
|
||||
Name: bellande_limit
|
||||
Version: 0.3.0
|
||||
Summary: Computes the next step towards a target node
|
||||
Home-page: github.com/RonaldsonBellande/bellande_robot_step
|
||||
Home-page: github.com/RonaldsonBellande/bellande_limit
|
||||
Author: Ronaldson Bellande
|
||||
Author-email: ronaldsonbellande@gmail.com
|
||||
License: GNU General Public License v3.0
|
||||
|
@ -5,12 +5,19 @@ curl -X 'POST' \
|
||||
-d '{
|
||||
"node0": [0, 0, 0],
|
||||
"node1": [100, 100, 100],
|
||||
"environment": [1000, 1000, 1000],
|
||||
"size": [10, 10, 10],
|
||||
"goal": [200, 200, 200],
|
||||
"obstacles": [
|
||||
{
|
||||
"position": [50, 50, 50],
|
||||
"dimensions": [20, 20, 20]
|
||||
}
|
||||
],
|
||||
"search_radius": 50,
|
||||
"sample_points": 20,
|
||||
"auth": {
|
||||
"authorization_key": "bellande_web_api_opensource"
|
||||
}
|
||||
}'
|
||||
|
||||
echo ""
|
||||
|
@ -5,12 +5,19 @@ curl -X 'POST' \
|
||||
-d '{
|
||||
"node0": [0, 0, 0],
|
||||
"node1": [100, 100, 100],
|
||||
"environment": [1000, 1000, 1000],
|
||||
"size": [10, 10, 10],
|
||||
"goal": [200, 200, 200],
|
||||
"obstacles": [
|
||||
{
|
||||
"position": [50, 50, 50],
|
||||
"dimensions": [20, 20, 20]
|
||||
}
|
||||
],
|
||||
"search_radius": 50,
|
||||
"sample_points": 20,
|
||||
"auth": {
|
||||
"authorization_key": "bellande_web_api_opensource"
|
||||
}
|
||||
}'
|
||||
|
||||
echo ""
|
||||
|
Loading…
Reference in New Issue
Block a user