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| import tensorflow as tf | |
| from PIL import Image | |
| import numpy as np | |
| import cv2 | |
| import gradio as gr | |
| from tensorflow import keras | |
| from keras.models import load_model | |
| import folium | |
| import re | |
| def convert_coordinates(coord_str): | |
| # Regular expression pattern to match the coordinate format | |
| pattern = r"(\d+)°(\d+)'(\d+(?:\.\d+)?)\"([NS])\s+(\d+)°(\d+)'(\d+(?:\.\d+)?)\"([EW])" | |
| match = re.match(pattern, coord_str) | |
| if match: | |
| lat_deg = int(match.group(1)) | |
| lat_min = int(match.group(2)) | |
| lat_sec = float(match.group(3)) | |
| lat_dir = match.group(4) | |
| lon_deg = int(match.group(5)) | |
| lon_min = int(match.group(6)) | |
| lon_sec = float(match.group(7)) | |
| lon_dir = match.group(8) | |
| # Convert coordinates to decimal format | |
| lat_decimal = lat_deg + (lat_min / 60) + (lat_sec / 3600) | |
| lon_decimal = lon_deg + (lon_min / 60) + (lon_sec / 3600) | |
| # Apply sign based on direction | |
| if lat_dir == 'S': | |
| lat_decimal *= -1 | |
| if lon_dir == 'W': | |
| lon_decimal *= -1 | |
| return (lat_decimal, lon_decimal) | |
| else: | |
| return None | |
| # Example usage | |
| coordinates = "30°01'48.7\"N 30°58'35.1\"E" | |
| latitude, longitude = convert_coordinates(coordinates) | |
| print(f"Latitude: {latitude}, Longitude: {longitude}") | |
| mineral_locations = { | |
| 'biotite': [ | |
| convert_coordinates("45°26'54.0\"N 75°41'24.0\"W"), | |
| convert_coordinates("51°03'07.2\"N 114°04'28.8\"W"), | |
| convert_coordinates("37°47'24.0\"N 122°28'12.0\"W") | |
| ], | |
| 'granite': [ | |
| convert_coordinates("40°44'54.0\"N 73°59'08.0\"W"), | |
| convert_coordinates("34°03'08.0\"S 151°06'24.0\"E"), | |
| convert_coordinates("55°45'00.0\"N 37°37'00.0\"E") | |
| ], | |
| 'olivine': [ | |
| convert_coordinates("19°28'48.0\"N 155°36'00.0\"W"), | |
| convert_coordinates("38°41'24.0\"N 9°08'24.0\"W"), | |
| convert_coordinates("46°28'12.0\"N 7°57'36.0\"E") | |
| ], | |
| 'plagioclase': [ | |
| convert_coordinates("48°51'24.0\"N 2°21'05.0\"E"), | |
| convert_coordinates("35°40'48.0\"N 139°41'24.0\"E"), | |
| convert_coordinates("41°53'24.0\"N 12°29'24.0\"E") | |
| ], | |
| 'staurolite': [ | |
| convert_coordinates("43°04'12.0\"N 89°22'48.0\"W"), | |
| convert_coordinates("47°36'00.0\"N 7°36'00.0\"E"), | |
| convert_coordinates("51°30'00.0\"N 0°07'48.0\"W") | |
| ] | |
| } | |
| import folium | |
| def plot_mineral_locations(mineral_locations): | |
| map = folium.Map(location=[0, 0], zoom_start=2) | |
| for mineral, locations in mineral_locations.items(): | |
| for location in locations: | |
| lat, lon = location | |
| folium.Marker( | |
| location=[lat, lon], | |
| popup=mineral, | |
| icon=folium.Icon(color='green') | |
| ).add_to(map) | |
| return map | |
| def generate_mineral_map(mineral_name): | |
| # Create a map object | |
| mineral_map = folium.Map(location=[0, 0], zoom_start=2) | |
| # Get the locations for the specified mineral | |
| locations = mineral_locations.get(mineral_name, []) | |
| # Add markers for the mineral locations | |
| for location in locations: | |
| lat, lon = location | |
| folium.Marker( | |
| location=[lat, lon], | |
| popup=mineral_name, | |
| icon=folium.Icon(color='green') | |
| ).add_to(mineral_map) | |
| return mineral_map | |