AI Vision // Import necessary modules
const np = require(‘numpy’);
const cv2 = require(‘opencv-python’);
const plt = require(‘matplotlib’);
class HexagonalSmoothInterpolationMemorized {
constructor(grid_size = 0.1) {
this.grid_size = grid_size;
this.memo = {};
}
interpolate(x, y) {
const key = ${x}-${y};
const interpolated_values = this.memo[key];
if (interpolated_values !== undefined) {
return interpolated_values;
}
// Assuming hexagonal_smooth_interpolation is a function defined elsewhere
const hex_interpolation_result = hexagonal_smooth_interpolation(x, y, this.grid_size);
this.memo[key] = hex_interpolation_result;
return hex_interpolation_result;
}
}
function plot_hexagonal_smooth_interpolation_memorized_enhanced_with_all_suggestions(x, y, interpolated_values, grid_size = 0.1) {
const fig = plt.figure();
const ax = fig.add_subplot(111);
const grid = new Hexbin(x, y, { gridsize: grid_size });
ax.pcolormesh(grid.x, grid.y, interpolated_values, { cmap: ‘jet’, shading: ‘gouraud’ });
ax.legend();
ax.contour(grid.x, grid.y, interpolated_values, { cmap: ‘gray’ });
const cbar = fig.colorbar(ax.pcolormesh, { ax: ax });
fig.set_facecolor(‘transparent’);
ax.set_xlabel(‘xlabel’);
ax.set_ylabel(‘ylabel’);
ax.set_title(‘Hexagonal smooth interpolation with memorisation and all suggested enhancements’);
plt.show();
}
function ai_vision(image) {
const grayscale_image = np.mean(image, -1);
const edges = cv2.Canny(grayscale_image, 100, 200);
const grid = new Hexbin(edges.x, edges.y, { gridsize: 0.1 });
const interpolated_values = hexagonal_smooth_interpolation(edges.x, edges.y, 0.1);
return interpolated_values;
}
// Example usage:
const image = cv2.imread(‘image.jpg’);
const interpolated_values = ai_vision(image);
plot_hexagonal_smooth_interpolation_memorized_enhanced_with_all_suggestions(image.x, image.y, interpolated_values, 0.1);
…
// Import necessary modules
const np = require(‘numpy’);
const cv2 = require(‘opencv-python’);
const plt = require(‘matplotlib’);
class HexagonalSmoothInterpolationMemorized {
constructor(grid_size = 0.1) {
this.grid_size = grid_size;
this.memo = {};
}
interpolate(x, y) {
const key = ${x}-${y};
const interpolated_values = this.memo[key];
if (interpolated_values !== undefined) {
return interpolated_values;
}
// Assuming hexagonal_smooth_interpolation is a function defined elsewhere
const hex_interpolation_result = hexagonal_smooth_interpolation(x, y, this.grid_size);
this.memo[key] = hex_interpolation_result;
return hex_interpolation_result;
}
}
function plot_hexagonal_smooth_interpolation_memorized_enhanced_with_all_suggestions(x, y, interpolated_values, grid_size = 0.1) {
const fig = plt.figure();
const ax = fig.add_subplot(111);
const grid = new Hexbin(x, y, { gridsize: grid_size });
ax.pcolormesh(grid.x, grid.y, interpolated_values, { cmap: ‘jet’, shading: ‘gouraud’ });
ax.legend();
ax.contour(grid.x, grid.y, interpolated_values, { cmap: ‘gray’ });
const cbar = fig.colorbar(ax.pcolormesh, { ax: ax });
fig.set_facecolor(‘transparent’);
ax.set_xlabel(‘xlabel’);
ax.set_ylabel(‘ylabel’);
ax.set_title(‘Hexagonal smooth interpolation with memorisation and all suggested enhancements’);
plt.show();
}
function ai_vision(image) {
const grayscale_image = np.mean(image, -1);
const edges = cv2.Canny(grayscale_image, 100, 200);
const grid = new Hexbin(edges.x, edges.y, { gridsize: 0.1 });
const interpolated_values = hexagonal_smooth_interpolation(edges.x, edges.y, 0.1);
return interpolated_values;
}
// Example usage:
const image = cv2.imread(‘image.jpg’);
const interpolated_values = ai_vision(image);
plot_hexagonal_smooth_interpolation_memorized_enhanced_with_all_suggestions(image.x, image.y, interpolated_values, 0.1);