I believe I’m experiencing a bug in R2024a with py.list. After a clear all, I get the error No module or function named ‘list’.:
clear all;res = py.list({"Name1","Name2","Name3"});
In this interface, the code runs just fine. When I run it locally, I get this:
>> clear all;res = py.list({"Name1","Name2","Name3"})
No module or function named ‘list’.
I can get py.list to work again if I use another Python command. For example, this works:
>> handlers = py.logging.getLogger().handlers;
>> res = py.list({"Name1","Name2","Name3"});
>> clear all;res = py.list({"Name1","Name2","Name3"});
No module or function named ‘list’.
I’m running MATLAB Version: 24.1.0.2628055 (R2024a) Update 4. I cannot replicate on R2023b.I believe I’m experiencing a bug in R2024a with py.list. After a clear all, I get the error No module or function named ‘list’.:
clear all;res = py.list({"Name1","Name2","Name3"});
In this interface, the code runs just fine. When I run it locally, I get this:
>> clear all;res = py.list({"Name1","Name2","Name3"})
No module or function named ‘list’.
I can get py.list to work again if I use another Python command. For example, this works:
>> handlers = py.logging.getLogger().handlers;
>> res = py.list({"Name1","Name2","Name3"});
>> clear all;res = py.list({"Name1","Name2","Name3"});
No module or function named ‘list’.
I’m running MATLAB Version: 24.1.0.2628055 (R2024a) Update 4. I cannot replicate on R2023b. I believe I’m experiencing a bug in R2024a with py.list. After a clear all, I get the error No module or function named ‘list’.:
clear all;res = py.list({"Name1","Name2","Name3"});
In this interface, the code runs just fine. When I run it locally, I get this:
>> clear all;res = py.list({"Name1","Name2","Name3"})
No module or function named ‘list’.
I can get py.list to work again if I use another Python command. For example, this works:
>> handlers = py.logging.getLogger().handlers;
>> res = py.list({"Name1","Name2","Name3"});
>> clear all;res = py.list({"Name1","Name2","Name3"});
No module or function named ‘list’.
I’m running MATLAB Version: 24.1.0.2628055 (R2024a) Update 4. I cannot replicate on R2023b. python MATLAB Answers — New Questions

​

I am following the VideoReader documentation from https://www.mathworks.com/help/matlab/ref/videoreader.html
When I try to run the example code using R2024a Update 5,
currAxes = axes;
v = VideoReader("xylophone_video.mp4");

while hasFrame(v)
vidFrame = readFrame(v);
image(vidFrame,"Parent",currAxes)
currAxes.Visible = "off";
pause(1/v.FrameRate)
end
the line with while hasFrame(v) throws an error: Unrecognized function or variable ‘hasFrame’.
The VideoReader object was created, but the hasFrame(v) line does not work. Was support for this function removed? If so, what replaced it?I am following the VideoReader documentation from https://www.mathworks.com/help/matlab/ref/videoreader.html
When I try to run the example code using R2024a Update 5,
currAxes = axes;
v = VideoReader("xylophone_video.mp4");

while hasFrame(v)
vidFrame = readFrame(v);
image(vidFrame,"Parent",currAxes)
currAxes.Visible = "off";
pause(1/v.FrameRate)
end
the line with while hasFrame(v) throws an error: Unrecognized function or variable ‘hasFrame’.
The VideoReader object was created, but the hasFrame(v) line does not work. Was support for this function removed? If so, what replaced it? I am following the VideoReader documentation from https://www.mathworks.com/help/matlab/ref/videoreader.html
When I try to run the example code using R2024a Update 5,
currAxes = axes;
v = VideoReader("xylophone_video.mp4");

while hasFrame(v)
vidFrame = readFrame(v);
image(vidFrame,"Parent",currAxes)
currAxes.Visible = "off";
pause(1/v.FrameRate)
end
the line with while hasFrame(v) throws an error: Unrecognized function or variable ‘hasFrame’.
The VideoReader object was created, but the hasFrame(v) line does not work. Was support for this function removed? If so, what replaced it? video processing MATLAB Answers — New Questions

​

Hello!
I’m trying to record a specific data point from multiple excel files that are located in the same folder and dump them into their own table.
To elaborate, I have thousands of excel files all under the path ‘C:UsersMeDataFiles’. I want to open each file, take the data from cell M18, and put it into its own table with all the data points.
I currently have a line using the readmatrix function and I’m able to read just the first file in the folder, but nothing else. I already have a table populated with serial number information, so I get an error that the table variables must have the same number of rows.
Any help would be greatly appreciated, thank you!Hello!
I’m trying to record a specific data point from multiple excel files that are located in the same folder and dump them into their own table.
To elaborate, I have thousands of excel files all under the path ‘C:UsersMeDataFiles’. I want to open each file, take the data from cell M18, and put it into its own table with all the data points.
I currently have a line using the readmatrix function and I’m able to read just the first file in the folder, but nothing else. I already have a table populated with serial number information, so I get an error that the table variables must have the same number of rows.
Any help would be greatly appreciated, thank you! Hello!
I’m trying to record a specific data point from multiple excel files that are located in the same folder and dump them into their own table.
To elaborate, I have thousands of excel files all under the path ‘C:UsersMeDataFiles’. I want to open each file, take the data from cell M18, and put it into its own table with all the data points.
I currently have a line using the readmatrix function and I’m able to read just the first file in the folder, but nothing else. I already have a table populated with serial number information, so I get an error that the table variables must have the same number of rows.
Any help would be greatly appreciated, thank you! importing excel data MATLAB Answers — New Questions

​

I have a map. On this map i have known x,y positions and the know origin value (1,1) and max value(419,419). when given into matlablip i get very close to accurate values at the center of the map but near the top and bottom they vary by 5 or 6 units. almost the like image is being gently stretched from the middle out. i assume this is to bind it the the grid size.
My map image is 2048×2048 pixels. and i am constraining the map to a 419×419 grid. I’m assuming that due to the way its scaling the image im getting this strech but i’m unable to see what settings might fix this.

import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import os
from matplotlib.patches import Rectangle
from matplotlib.widgets import Button

# Directory path
dir_path = ‘MY_DIR/’

# Load background image
print("Loading background image…")
background_image_path = os.path.join(dir_path, ‘MY_IMAGE’)
background_image = Image.open(background_image_path)

# Load grid size and offsets from file
print("Loading grid size, obstacle offset, and image offset…")
size_file_path = os.path.join(dir_path, ‘size.txt’)
with open(size_file_path, ‘r’) as file:
grid_size_x, grid_size_y = map(int, file.readline().strip().split(‘,’))
obstacle_offset_x, obstacle_offset_y = map(float, file.readline().strip().split(‘,’))
image_offset_x, image_offset_y = map(float, file.readline().strip().split(‘,’))
print(f"Grid size: {grid_size_x}, {grid_size_y}")
print(f"Obstacle offset: {obstacle_offset_x}, {obstacle_offset_y}")
print(f"Image offset: {image_offset_x}, {image_offset_y}")

# Function to load obstacles from B&W image
def load_obstacles_from_image(image_path, grid_size_x, grid_size_y):
print("Loading obstacles from B&W image…")
bw_image = Image.open(image_path).convert(‘L’)
bw_image = bw_image.resize((grid_size_x, grid_size_y))
bw_array = np.array(bw_image)

obstacles = []
for y in range(grid_size_y):
for x in range(grid_size_x):
if bw_array[y, x] < 128: # Assuming obstacles are black (value < 128)
obstacles.append((x + 1, y + 1)) # Adjust for grid origin (1,1)
return list(set((round(x), round(y)) for x, y in obstacles))

# Function to validate if obstacles file contains valid coordinates
def validate_obstacles_file(file_path):
with open(file_path, ‘r’) as file:
for line in file:
if line.strip():
try:
x, y = map(int, line.strip().split(‘,’))
except ValueError:
return False
return True

# Load obstacles from file or image
obstacle_file_path = os.path.join(dir_path, ‘obstacles.txt’)
if os.path.exists(obstacle_file_path) and validate_obstacles_file(obstacle_file_path):
print("Loading obstacles from obstacles.txt…")
with open(obstacle_file_path, ‘r’) as file:
obstacles = [tuple(map(int, line.strip().split(‘,’))) for line in file if line.strip()]
else:
obstacles = load_obstacles_from_image(os.path.join(dir_path, ‘obstacles_bw.png’), grid_size_x, grid_size_y)
with open(obstacle_file_path, ‘w’) as file:
for x, y in obstacles:
file.write(f"{x},{y}n")
print(f"Loaded {len(obstacles)} obstacles")

# Apply obstacle offset
obstacles = [(x + obstacle_offset_x, y + obstacle_offset_y) for x, y in obstacles]

# Load points of interest (POI) from file
print("Loading points of interest…")
poi_file_path = os.path.join(dir_path, ‘poi.txt’)
poi_points = []
with open(poi_file_path, ‘r’) as file:
for line in file:
x, y = map(float, line.strip().split(‘,’))
poi_points.append((x, y))
print(f"Loaded {len(poi_points)} points of interest (POI)")

# Create maze for pathfinding
def create_maze(grid_size_x, grid_size_y, obstacles):
print("Creating maze…")
maze = np.zeros((grid_size_y + 1, grid_size_x + 1)) # Adjust for grid origin (1,1)
for x, y in obstacles:
maze[int(y)][int(x)] = 1
return maze

maze = create_maze(grid_size_x, grid_size_y, obstacles)
print("Maze created.")
print("Maze obstacles:")
print(np.argwhere(maze == 1))

# A* pathfinding algorithm
class Node:
def __init__(self, parent=None, position=None):
self.parent = parent
self.position = position

self.g = 0
self.h = 0
self.f = 0

def __eq__(self, other):
return self.position == other.position

def astar(maze, start, end):
print("Starting A* algorithm…")
start_node = Node(None, start)
end_node = Node(None, end)

open_list = []
closed_list = []

open_list.append(start_node)

iterations = 0
max_iterations = 10000 # Limit iterations for debugging

while open_list:
iterations += 1
if iterations > max_iterations:
print("Reached maximum iterations, stopping to avoid infinite loop.")
break

# Get the current node
current_node = open_list[0]
current_index = 0
for index, item in enumerate(open_list):
if item.f < current_node.f:
current_node = item
current_index = index

# Pop current off open list, add to closed list
open_list.pop(current_index)
closed_list.append(current_node)

# Found the goal
if current_node == end_node:
path = []
current = current_node
while current is not None:
path.append(current.position)
current = current.parent
print("Path found.")
return path[::-1] # Return reversed path

# Generate children
children = []
for new_position in [(0, -1), (0, 1), (-1, 0), (1, 0), (-1, -1), (-1, 1), (1, -1), (1, 1)]: # Adjacent squares

# Get node position
node_position = (current_node.position[0] + new_position[0], current_node.position[1] + new_position[1])

# Make sure within range
if node_position[0] > (len(maze) – 1) or node_position[0] < 0 or node_position[1] > (len(maze[len(maze) – 1]) – 1) or node_position[1] < 0:
continue

# Make sure walkable terrain
if maze[node_position[1]][node_position[0]] != 0: # Note the inversion of indices here
continue

# Create new node
new_node = Node(current_node, node_position)

# Append
children.append(new_node)

# Loop through children
for child in children:

# Child is on the closed list
if child in closed_list:
continue

# Create the f, g, and h values
child.g = current_node.g + 1
child.h = ((child.position[0] – end_node.position[0]) ** 2) + ((child.position[1] – end_node.position[1]) ** 2)
child.f = child.g + child.h

# Child is already in the open list
if any(open_node for open_node in open_list if child == open_node and child.g > open_node.g):
continue

# Add the child to the open list
open_list.append(child)

if iterations % 1000 == 0:
print(f"Iteration {iterations}: Open list size: {len(open_list)}, Closed list size: {len(closed_list)}")

print("No path found.")
return []

def plot_path(ax, path):
if path:
path_x, path_y = zip(*path)
ax.plot(path_x, path_y, color=’blue’, linewidth=2, label=’Path’)

# Initial start and end points for testing
start_point = (255, 233)
end_point = (240, 240)
start_point_maze = (int(start_point[0]), int(start_point[1])) # Adjust for maze coordinates
end_point_maze = (int(end_point[0]), int(end_point[1])) # Adjust for maze coordinates

print(f"Running A* from {start_point_maze} to {end_point_maze}…")
path = astar(maze, start_point_maze, end_point_maze)

# Plot the results
print("Plotting results…")
fig, ax = plt.subplots(figsize=(10, 10))
ax.imshow(background_image, extent=[image_offset_x, grid_size_x + image_offset_x, grid_size_y + image_offset_y, image_offset_y], origin=’upper’)
obstacles_patches = [] # List to store obstacle patches

if obstacles:
for (x, y) in obstacles:
rect = Rectangle((x – 0.25, y – 0.25), 0.5, 0.5, linewidth=1, edgecolor=’red’, facecolor=’red’)
obstacles_patches.append(rect)
ax.add_patch(rect)

if poi_points:
px, py = zip(*poi_points)
ax.scatter(px, py, c=’blue’, s=10, label=’POIs’)

plot_path(ax, path)
ax.scatter(start_point[0], start_point[1], c=’green’, s=50, label=’Start’)
ax.scatter(end_point[0], end_point[1], c=’purple’, s=50, label=’End’)
ax.set_title(‘Background Image with Obstacles, POIs, and Path’)
ax.legend()

# Toggle obstacles visibility
def toggle_obstacles(event):
for patch in obstacles_patches:
patch.set_visible(not patch.get_visible())
plt.draw()

# Add button to toggle obstacles
ax_button = plt.axes([0.8, 0.05, 0.1, 0.075])
button = Button(ax_button, ‘Toggle Obstacles’)
button.on_clicked(toggle_obstacles)

plt.show()
print("Finished plotting.")I have a map. On this map i have known x,y positions and the know origin value (1,1) and max value(419,419). when given into matlablip i get very close to accurate values at the center of the map but near the top and bottom they vary by 5 or 6 units. almost the like image is being gently stretched from the middle out. i assume this is to bind it the the grid size.
My map image is 2048×2048 pixels. and i am constraining the map to a 419×419 grid. I’m assuming that due to the way its scaling the image im getting this strech but i’m unable to see what settings might fix this.

import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import os
from matplotlib.patches import Rectangle
from matplotlib.widgets import Button

# Directory path
dir_path = ‘MY_DIR/’

# Load background image
print("Loading background image…")
background_image_path = os.path.join(dir_path, ‘MY_IMAGE’)
background_image = Image.open(background_image_path)

# Load grid size and offsets from file
print("Loading grid size, obstacle offset, and image offset…")
size_file_path = os.path.join(dir_path, ‘size.txt’)
with open(size_file_path, ‘r’) as file:
grid_size_x, grid_size_y = map(int, file.readline().strip().split(‘,’))
obstacle_offset_x, obstacle_offset_y = map(float, file.readline().strip().split(‘,’))
image_offset_x, image_offset_y = map(float, file.readline().strip().split(‘,’))
print(f"Grid size: {grid_size_x}, {grid_size_y}")
print(f"Obstacle offset: {obstacle_offset_x}, {obstacle_offset_y}")
print(f"Image offset: {image_offset_x}, {image_offset_y}")

# Function to load obstacles from B&W image
def load_obstacles_from_image(image_path, grid_size_x, grid_size_y):
print("Loading obstacles from B&W image…")
bw_image = Image.open(image_path).convert(‘L’)
bw_image = bw_image.resize((grid_size_x, grid_size_y))
bw_array = np.array(bw_image)

obstacles = []
for y in range(grid_size_y):
for x in range(grid_size_x):
if bw_array[y, x] < 128: # Assuming obstacles are black (value < 128)
obstacles.append((x + 1, y + 1)) # Adjust for grid origin (1,1)
return list(set((round(x), round(y)) for x, y in obstacles))

# Function to validate if obstacles file contains valid coordinates
def validate_obstacles_file(file_path):
with open(file_path, ‘r’) as file:
for line in file:
if line.strip():
try:
x, y = map(int, line.strip().split(‘,’))
except ValueError:
return False
return True

# Load obstacles from file or image
obstacle_file_path = os.path.join(dir_path, ‘obstacles.txt’)
if os.path.exists(obstacle_file_path) and validate_obstacles_file(obstacle_file_path):
print("Loading obstacles from obstacles.txt…")
with open(obstacle_file_path, ‘r’) as file:
obstacles = [tuple(map(int, line.strip().split(‘,’))) for line in file if line.strip()]
else:
obstacles = load_obstacles_from_image(os.path.join(dir_path, ‘obstacles_bw.png’), grid_size_x, grid_size_y)
with open(obstacle_file_path, ‘w’) as file:
for x, y in obstacles:
file.write(f"{x},{y}n")
print(f"Loaded {len(obstacles)} obstacles")

# Apply obstacle offset
obstacles = [(x + obstacle_offset_x, y + obstacle_offset_y) for x, y in obstacles]

# Load points of interest (POI) from file
print("Loading points of interest…")
poi_file_path = os.path.join(dir_path, ‘poi.txt’)
poi_points = []
with open(poi_file_path, ‘r’) as file:
for line in file:
x, y = map(float, line.strip().split(‘,’))
poi_points.append((x, y))
print(f"Loaded {len(poi_points)} points of interest (POI)")

# Create maze for pathfinding
def create_maze(grid_size_x, grid_size_y, obstacles):
print("Creating maze…")
maze = np.zeros((grid_size_y + 1, grid_size_x + 1)) # Adjust for grid origin (1,1)
for x, y in obstacles:
maze[int(y)][int(x)] = 1
return maze

maze = create_maze(grid_size_x, grid_size_y, obstacles)
print("Maze created.")
print("Maze obstacles:")
print(np.argwhere(maze == 1))

# A* pathfinding algorithm
class Node:
def __init__(self, parent=None, position=None):
self.parent = parent
self.position = position

self.g = 0
self.h = 0
self.f = 0

def __eq__(self, other):
return self.position == other.position

def astar(maze, start, end):
print("Starting A* algorithm…")
start_node = Node(None, start)
end_node = Node(None, end)

open_list = []
closed_list = []

open_list.append(start_node)

iterations = 0
max_iterations = 10000 # Limit iterations for debugging

while open_list:
iterations += 1
if iterations > max_iterations:
print("Reached maximum iterations, stopping to avoid infinite loop.")
break

# Get the current node
current_node = open_list[0]
current_index = 0
for index, item in enumerate(open_list):
if item.f < current_node.f:
current_node = item
current_index = index

# Pop current off open list, add to closed list
open_list.pop(current_index)
closed_list.append(current_node)

# Found the goal
if current_node == end_node:
path = []
current = current_node
while current is not None:
path.append(current.position)
current = current.parent
print("Path found.")
return path[::-1] # Return reversed path

# Generate children
children = []
for new_position in [(0, -1), (0, 1), (-1, 0), (1, 0), (-1, -1), (-1, 1), (1, -1), (1, 1)]: # Adjacent squares

# Get node position
node_position = (current_node.position[0] + new_position[0], current_node.position[1] + new_position[1])

# Make sure within range
if node_position[0] > (len(maze) – 1) or node_position[0] < 0 or node_position[1] > (len(maze[len(maze) – 1]) – 1) or node_position[1] < 0:
continue

# Make sure walkable terrain
if maze[node_position[1]][node_position[0]] != 0: # Note the inversion of indices here
continue

# Create new node
new_node = Node(current_node, node_position)

# Append
children.append(new_node)

# Loop through children
for child in children:

# Child is on the closed list
if child in closed_list:
continue

# Create the f, g, and h values
child.g = current_node.g + 1
child.h = ((child.position[0] – end_node.position[0]) ** 2) + ((child.position[1] – end_node.position[1]) ** 2)
child.f = child.g + child.h

# Child is already in the open list
if any(open_node for open_node in open_list if child == open_node and child.g > open_node.g):
continue

# Add the child to the open list
open_list.append(child)

if iterations % 1000 == 0:
print(f"Iteration {iterations}: Open list size: {len(open_list)}, Closed list size: {len(closed_list)}")

print("No path found.")
return []

def plot_path(ax, path):
if path:
path_x, path_y = zip(*path)
ax.plot(path_x, path_y, color=’blue’, linewidth=2, label=’Path’)

# Initial start and end points for testing
start_point = (255, 233)
end_point = (240, 240)
start_point_maze = (int(start_point[0]), int(start_point[1])) # Adjust for maze coordinates
end_point_maze = (int(end_point[0]), int(end_point[1])) # Adjust for maze coordinates

print(f"Running A* from {start_point_maze} to {end_point_maze}…")
path = astar(maze, start_point_maze, end_point_maze)

# Plot the results
print("Plotting results…")
fig, ax = plt.subplots(figsize=(10, 10))
ax.imshow(background_image, extent=[image_offset_x, grid_size_x + image_offset_x, grid_size_y + image_offset_y, image_offset_y], origin=’upper’)
obstacles_patches = [] # List to store obstacle patches

if obstacles:
for (x, y) in obstacles:
rect = Rectangle((x – 0.25, y – 0.25), 0.5, 0.5, linewidth=1, edgecolor=’red’, facecolor=’red’)
obstacles_patches.append(rect)
ax.add_patch(rect)

if poi_points:
px, py = zip(*poi_points)
ax.scatter(px, py, c=’blue’, s=10, label=’POIs’)

plot_path(ax, path)
ax.scatter(start_point[0], start_point[1], c=’green’, s=50, label=’Start’)
ax.scatter(end_point[0], end_point[1], c=’purple’, s=50, label=’End’)
ax.set_title(‘Background Image with Obstacles, POIs, and Path’)
ax.legend()

# Toggle obstacles visibility
def toggle_obstacles(event):
for patch in obstacles_patches:
patch.set_visible(not patch.get_visible())
plt.draw()

# Add button to toggle obstacles
ax_button = plt.axes([0.8, 0.05, 0.1, 0.075])
button = Button(ax_button, ‘Toggle Obstacles’)
button.on_clicked(toggle_obstacles)

plt.show()
print("Finished plotting.") I have a map. On this map i have known x,y positions and the know origin value (1,1) and max value(419,419). when given into matlablip i get very close to accurate values at the center of the map but near the top and bottom they vary by 5 or 6 units. almost the like image is being gently stretched from the middle out. i assume this is to bind it the the grid size.
My map image is 2048×2048 pixels. and i am constraining the map to a 419×419 grid. I’m assuming that due to the way its scaling the image im getting this strech but i’m unable to see what settings might fix this.

import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import os
from matplotlib.patches import Rectangle
from matplotlib.widgets import Button

# Directory path
dir_path = ‘MY_DIR/’

# Load background image
print("Loading background image…")
background_image_path = os.path.join(dir_path, ‘MY_IMAGE’)
background_image = Image.open(background_image_path)

# Load grid size and offsets from file
print("Loading grid size, obstacle offset, and image offset…")
size_file_path = os.path.join(dir_path, ‘size.txt’)
with open(size_file_path, ‘r’) as file:
grid_size_x, grid_size_y = map(int, file.readline().strip().split(‘,’))
obstacle_offset_x, obstacle_offset_y = map(float, file.readline().strip().split(‘,’))
image_offset_x, image_offset_y = map(float, file.readline().strip().split(‘,’))
print(f"Grid size: {grid_size_x}, {grid_size_y}")
print(f"Obstacle offset: {obstacle_offset_x}, {obstacle_offset_y}")
print(f"Image offset: {image_offset_x}, {image_offset_y}")

# Function to load obstacles from B&W image
def load_obstacles_from_image(image_path, grid_size_x, grid_size_y):
print("Loading obstacles from B&W image…")
bw_image = Image.open(image_path).convert(‘L’)
bw_image = bw_image.resize((grid_size_x, grid_size_y))
bw_array = np.array(bw_image)

obstacles = []
for y in range(grid_size_y):
for x in range(grid_size_x):
if bw_array[y, x] < 128: # Assuming obstacles are black (value < 128)
obstacles.append((x + 1, y + 1)) # Adjust for grid origin (1,1)
return list(set((round(x), round(y)) for x, y in obstacles))

# Function to validate if obstacles file contains valid coordinates
def validate_obstacles_file(file_path):
with open(file_path, ‘r’) as file:
for line in file:
if line.strip():
try:
x, y = map(int, line.strip().split(‘,’))
except ValueError:
return False
return True

# Load obstacles from file or image
obstacle_file_path = os.path.join(dir_path, ‘obstacles.txt’)
if os.path.exists(obstacle_file_path) and validate_obstacles_file(obstacle_file_path):
print("Loading obstacles from obstacles.txt…")
with open(obstacle_file_path, ‘r’) as file:
obstacles = [tuple(map(int, line.strip().split(‘,’))) for line in file if line.strip()]
else:
obstacles = load_obstacles_from_image(os.path.join(dir_path, ‘obstacles_bw.png’), grid_size_x, grid_size_y)
with open(obstacle_file_path, ‘w’) as file:
for x, y in obstacles:
file.write(f"{x},{y}n")
print(f"Loaded {len(obstacles)} obstacles")

# Apply obstacle offset
obstacles = [(x + obstacle_offset_x, y + obstacle_offset_y) for x, y in obstacles]

# Load points of interest (POI) from file
print("Loading points of interest…")
poi_file_path = os.path.join(dir_path, ‘poi.txt’)
poi_points = []
with open(poi_file_path, ‘r’) as file:
for line in file:
x, y = map(float, line.strip().split(‘,’))
poi_points.append((x, y))
print(f"Loaded {len(poi_points)} points of interest (POI)")

# Create maze for pathfinding
def create_maze(grid_size_x, grid_size_y, obstacles):
print("Creating maze…")
maze = np.zeros((grid_size_y + 1, grid_size_x + 1)) # Adjust for grid origin (1,1)
for x, y in obstacles:
maze[int(y)][int(x)] = 1
return maze

maze = create_maze(grid_size_x, grid_size_y, obstacles)
print("Maze created.")
print("Maze obstacles:")
print(np.argwhere(maze == 1))

# A* pathfinding algorithm
class Node:
def __init__(self, parent=None, position=None):
self.parent = parent
self.position = position

self.g = 0
self.h = 0
self.f = 0

def __eq__(self, other):
return self.position == other.position

def astar(maze, start, end):
print("Starting A* algorithm…")
start_node = Node(None, start)
end_node = Node(None, end)

open_list = []
closed_list = []

open_list.append(start_node)

iterations = 0
max_iterations = 10000 # Limit iterations for debugging

while open_list:
iterations += 1
if iterations > max_iterations:
print("Reached maximum iterations, stopping to avoid infinite loop.")
break

# Get the current node
current_node = open_list[0]
current_index = 0
for index, item in enumerate(open_list):
if item.f < current_node.f:
current_node = item
current_index = index

# Pop current off open list, add to closed list
open_list.pop(current_index)
closed_list.append(current_node)

# Found the goal
if current_node == end_node:
path = []
current = current_node
while current is not None:
path.append(current.position)
current = current.parent
print("Path found.")
return path[::-1] # Return reversed path

# Generate children
children = []
for new_position in [(0, -1), (0, 1), (-1, 0), (1, 0), (-1, -1), (-1, 1), (1, -1), (1, 1)]: # Adjacent squares

# Get node position
node_position = (current_node.position[0] + new_position[0], current_node.position[1] + new_position[1])

# Make sure within range
if node_position[0] > (len(maze) – 1) or node_position[0] < 0 or node_position[1] > (len(maze[len(maze) – 1]) – 1) or node_position[1] < 0:
continue

# Make sure walkable terrain
if maze[node_position[1]][node_position[0]] != 0: # Note the inversion of indices here
continue

# Create new node
new_node = Node(current_node, node_position)

# Append
children.append(new_node)

# Loop through children
for child in children:

# Child is on the closed list
if child in closed_list:
continue

# Create the f, g, and h values
child.g = current_node.g + 1
child.h = ((child.position[0] – end_node.position[0]) ** 2) + ((child.position[1] – end_node.position[1]) ** 2)
child.f = child.g + child.h

# Child is already in the open list
if any(open_node for open_node in open_list if child == open_node and child.g > open_node.g):
continue

# Add the child to the open list
open_list.append(child)

if iterations % 1000 == 0:
print(f"Iteration {iterations}: Open list size: {len(open_list)}, Closed list size: {len(closed_list)}")

print("No path found.")
return []

def plot_path(ax, path):
if path:
path_x, path_y = zip(*path)
ax.plot(path_x, path_y, color=’blue’, linewidth=2, label=’Path’)

# Initial start and end points for testing
start_point = (255, 233)
end_point = (240, 240)
start_point_maze = (int(start_point[0]), int(start_point[1])) # Adjust for maze coordinates
end_point_maze = (int(end_point[0]), int(end_point[1])) # Adjust for maze coordinates

print(f"Running A* from {start_point_maze} to {end_point_maze}…")
path = astar(maze, start_point_maze, end_point_maze)

# Plot the results
print("Plotting results…")
fig, ax = plt.subplots(figsize=(10, 10))
ax.imshow(background_image, extent=[image_offset_x, grid_size_x + image_offset_x, grid_size_y + image_offset_y, image_offset_y], origin=’upper’)
obstacles_patches = [] # List to store obstacle patches

if obstacles:
for (x, y) in obstacles:
rect = Rectangle((x – 0.25, y – 0.25), 0.5, 0.5, linewidth=1, edgecolor=’red’, facecolor=’red’)
obstacles_patches.append(rect)
ax.add_patch(rect)

if poi_points:
px, py = zip(*poi_points)
ax.scatter(px, py, c=’blue’, s=10, label=’POIs’)

plot_path(ax, path)
ax.scatter(start_point[0], start_point[1], c=’green’, s=50, label=’Start’)
ax.scatter(end_point[0], end_point[1], c=’purple’, s=50, label=’End’)
ax.set_title(‘Background Image with Obstacles, POIs, and Path’)
ax.legend()

# Toggle obstacles visibility
def toggle_obstacles(event):
for patch in obstacles_patches:
patch.set_visible(not patch.get_visible())
plt.draw()

# Add button to toggle obstacles
ax_button = plt.axes([0.8, 0.05, 0.1, 0.075])
button = Button(ax_button, ‘Toggle Obstacles’)
button.on_clicked(toggle_obstacles)

plt.show()
print("Finished plotting.") python, discrete, quantization, map image MATLAB Answers — New Questions

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In my code, series of images are being processed and at each stage I have to show different figures in several windows, but as you know while running each window comes up and prevents you from doing your other things with your PC while running.

Is it possible to ask MATLAB to minimize all the windows (while running), so that the user can do his other things meanwhile?

Thanks so much.

StevenIn my code, series of images are being processed and at each stage I have to show different figures in several windows, but as you know while running each window comes up and prevents you from doing your other things with your PC while running.

Is it possible to ask MATLAB to minimize all the windows (while running), so that the user can do his other things meanwhile?

Thanks so much.

Steven In my code, series of images are being processed and at each stage I have to show different figures in several windows, but as you know while running each window comes up and prevents you from doing your other things with your PC while running.

Is it possible to ask MATLAB to minimize all the windows (while running), so that the user can do his other things meanwhile?

Thanks so much.

Steven minimizing, image series MATLAB Answers — New Questions

​

I have a problem with the final interpolation I think. the connection between the tiles is very visible and each tile has a different colloring.
Any one have an idea how i can make this better?I have a problem with the final interpolation I think. the connection between the tiles is very visible and each tile has a different colloring.
Any one have an idea how i can make this better? I have a problem with the final interpolation I think. the connection between the tiles is very visible and each tile has a different colloring.
Any one have an idea how i can make this better? intrepolation MATLAB Answers — New Questions

​

>> unzip(‘MerchData.zip’);pwd
Warning: Permission denied to create file "MerchData".
> In unzip (line 103)>> unzip(‘MerchData.zip’);pwd
Warning: Permission denied to create file "MerchData".
> In unzip (line 103) >> unzip(‘MerchData.zip’);pwd
Warning: Permission denied to create file "MerchData".
> In unzip (line 103) deep learning MATLAB Answers — New Questions

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I want to know legacy version of Matlab !I want to know legacy version of Matlab ! I want to know legacy version of Matlab ! legacy versions MATLAB Answers — New Questions

​

Hello, I have a 32bit grayscale tiff image composed by 41 slices.
I’m saving file always as a stack but it dont works:
Error using Tiff/writeAllStrips
Unable to retrieve ImageLength.

Error in Tiff/write (line 1486)
obj.writeAllStrips(varargin{:});
This is the portion of code

% salva il nuovo file con lo stesso nome ma aggiungendo "modified"
newFilename = fullfile(folder, [fileList(i).name(1:end-4) ‘_modified.tif’]);
t = Tiff(newFilename, ‘w’);

% ottieni le informazioni dalla prima immagine dello stack originale
info = imfinfo(filename);
disp(info(1))

% tagstruct.ImageLength = size(newStack(:,:,1),1);
% tagstruct.ImageWidth = size(newStack(:,:,1),2);
% tagstruct.Photometric = Tiff.Photometric.MinIsBlack;
% tagstruct.BitsPerSample = 32;
% tagstruct.SamplesPerPixel = 1;
% tagstruct.RowsPerStrip = 16;
% tagstruct.PlanarConfiguration = Tiff.PlanarConfiguration.Chunky;
% tagstruct.Software = ‘MATLAB’;

% imposta le informazioni nella nuova immagine Tiff
t.setTag(‘Photometric’, 1);
t.setTag(‘Compression’, 1); % 1 = nessuna compressione, 8 = compressione Deflate
t.setTag(‘BitsPerSample’, info(1).BitsPerSample);
t.setTag(‘SamplesPerPixel’, info(1).SamplesPerPixel);
t.setTag(‘SampleFormat’, Tiff.SampleFormat.UInt);
t.setTag(‘ImageLength’, info(1).Height);
t.setTag(‘ImageWidth’, info(1).Width);

t.setTag(‘PlanarConfiguration’, Tiff.PlanarConfiguration.Chunky);

for j = 1:numImages
%t.setTag(info(j)); % commenta questa riga per testare se il problema è qui
t.write(newStack(:,:,j));
t.writeDirectory();
end

t.close();

This is iminfo of source file
FileModDate: ’30-dic-2022 09:47:14′
FileSize: 492005745
Format: ‘tif’
FormatVersion: []
Width: 2000
Height: 1500
BitDepth: 32
ColorType: ‘grayscale’
FormatSignature: [77 77 0 42]
ByteOrder: ‘big-endian’
NewSubFileType: 0
BitsPerSample: 32
Compression: ‘Uncompressed’
PhotometricInterpretation: ‘BlackIsZero’
StripOffsets: 225
SamplesPerPixel: 1
RowsPerStrip: 1500
StripByteCounts: 12000000
XResolution: []
YResolution: []
ResolutionUnit: ‘Inch’
Colormap: []
PlanarConfiguration: ‘Chunky’
TileWidth: []
TileLength: []
TileOffsets: []
TileByteCounts: []
Orientation: 1
FillOrder: 1
GrayResponseUnit: 0.0100
MaxSampleValue: 4.2950e+09
MinSampleValue: 0
Thresholding: 1
Offset: 8
ImageDescription: ‘ImageJ=1.53n↵images=41↵slices=41↵loop=false↵min=0.0↵max=1.401298464324817E-45↵’
SampleFormat: ‘IEEE floating point’

Many thanksHello, I have a 32bit grayscale tiff image composed by 41 slices.
I’m saving file always as a stack but it dont works:
Error using Tiff/writeAllStrips
Unable to retrieve ImageLength.

Error in Tiff/write (line 1486)
obj.writeAllStrips(varargin{:});
This is the portion of code

% salva il nuovo file con lo stesso nome ma aggiungendo "modified"
newFilename = fullfile(folder, [fileList(i).name(1:end-4) ‘_modified.tif’]);
t = Tiff(newFilename, ‘w’);

% ottieni le informazioni dalla prima immagine dello stack originale
info = imfinfo(filename);
disp(info(1))

% tagstruct.ImageLength = size(newStack(:,:,1),1);
% tagstruct.ImageWidth = size(newStack(:,:,1),2);
% tagstruct.Photometric = Tiff.Photometric.MinIsBlack;
% tagstruct.BitsPerSample = 32;
% tagstruct.SamplesPerPixel = 1;
% tagstruct.RowsPerStrip = 16;
% tagstruct.PlanarConfiguration = Tiff.PlanarConfiguration.Chunky;
% tagstruct.Software = ‘MATLAB’;

% imposta le informazioni nella nuova immagine Tiff
t.setTag(‘Photometric’, 1);
t.setTag(‘Compression’, 1); % 1 = nessuna compressione, 8 = compressione Deflate
t.setTag(‘BitsPerSample’, info(1).BitsPerSample);
t.setTag(‘SamplesPerPixel’, info(1).SamplesPerPixel);
t.setTag(‘SampleFormat’, Tiff.SampleFormat.UInt);
t.setTag(‘ImageLength’, info(1).Height);
t.setTag(‘ImageWidth’, info(1).Width);

t.setTag(‘PlanarConfiguration’, Tiff.PlanarConfiguration.Chunky);

for j = 1:numImages
%t.setTag(info(j)); % commenta questa riga per testare se il problema è qui
t.write(newStack(:,:,j));
t.writeDirectory();
end

t.close();

This is iminfo of source file
FileModDate: ’30-dic-2022 09:47:14′
FileSize: 492005745
Format: ‘tif’
FormatVersion: []
Width: 2000
Height: 1500
BitDepth: 32
ColorType: ‘grayscale’
FormatSignature: [77 77 0 42]
ByteOrder: ‘big-endian’
NewSubFileType: 0
BitsPerSample: 32
Compression: ‘Uncompressed’
PhotometricInterpretation: ‘BlackIsZero’
StripOffsets: 225
SamplesPerPixel: 1
RowsPerStrip: 1500
StripByteCounts: 12000000
XResolution: []
YResolution: []
ResolutionUnit: ‘Inch’
Colormap: []
PlanarConfiguration: ‘Chunky’
TileWidth: []
TileLength: []
TileOffsets: []
TileByteCounts: []
Orientation: 1
FillOrder: 1
GrayResponseUnit: 0.0100
MaxSampleValue: 4.2950e+09
MinSampleValue: 0
Thresholding: 1
Offset: 8
ImageDescription: ‘ImageJ=1.53n↵images=41↵slices=41↵loop=false↵min=0.0↵max=1.401298464324817E-45↵’
SampleFormat: ‘IEEE floating point’

Many thanks Hello, I have a 32bit grayscale tiff image composed by 41 slices.
I’m saving file always as a stack but it dont works:
Error using Tiff/writeAllStrips
Unable to retrieve ImageLength.

Error in Tiff/write (line 1486)
obj.writeAllStrips(varargin{:});
This is the portion of code

% salva il nuovo file con lo stesso nome ma aggiungendo "modified"
newFilename = fullfile(folder, [fileList(i).name(1:end-4) ‘_modified.tif’]);
t = Tiff(newFilename, ‘w’);

% ottieni le informazioni dalla prima immagine dello stack originale
info = imfinfo(filename);
disp(info(1))

% tagstruct.ImageLength = size(newStack(:,:,1),1);
% tagstruct.ImageWidth = size(newStack(:,:,1),2);
% tagstruct.Photometric = Tiff.Photometric.MinIsBlack;
% tagstruct.BitsPerSample = 32;
% tagstruct.SamplesPerPixel = 1;
% tagstruct.RowsPerStrip = 16;
% tagstruct.PlanarConfiguration = Tiff.PlanarConfiguration.Chunky;
% tagstruct.Software = ‘MATLAB’;

% imposta le informazioni nella nuova immagine Tiff
t.setTag(‘Photometric’, 1);
t.setTag(‘Compression’, 1); % 1 = nessuna compressione, 8 = compressione Deflate
t.setTag(‘BitsPerSample’, info(1).BitsPerSample);
t.setTag(‘SamplesPerPixel’, info(1).SamplesPerPixel);
t.setTag(‘SampleFormat’, Tiff.SampleFormat.UInt);
t.setTag(‘ImageLength’, info(1).Height);
t.setTag(‘ImageWidth’, info(1).Width);

t.setTag(‘PlanarConfiguration’, Tiff.PlanarConfiguration.Chunky);

for j = 1:numImages
%t.setTag(info(j)); % commenta questa riga per testare se il problema è qui
t.write(newStack(:,:,j));
t.writeDirectory();
end

t.close();

This is iminfo of source file
FileModDate: ’30-dic-2022 09:47:14′
FileSize: 492005745
Format: ‘tif’
FormatVersion: []
Width: 2000
Height: 1500
BitDepth: 32
ColorType: ‘grayscale’
FormatSignature: [77 77 0 42]
ByteOrder: ‘big-endian’
NewSubFileType: 0
BitsPerSample: 32
Compression: ‘Uncompressed’
PhotometricInterpretation: ‘BlackIsZero’
StripOffsets: 225
SamplesPerPixel: 1
RowsPerStrip: 1500
StripByteCounts: 12000000
XResolution: []
YResolution: []
ResolutionUnit: ‘Inch’
Colormap: []
PlanarConfiguration: ‘Chunky’
TileWidth: []
TileLength: []
TileOffsets: []
TileByteCounts: []
Orientation: 1
FillOrder: 1
GrayResponseUnit: 0.0100
MaxSampleValue: 4.2950e+09
MinSampleValue: 0
Thresholding: 1
Offset: 8
ImageDescription: ‘ImageJ=1.53n↵images=41↵slices=41↵loop=false↵min=0.0↵max=1.401298464324817E-45↵’
SampleFormat: ‘IEEE floating point’

Many thanks tiff, save MATLAB Answers — New Questions

​

When I log in and start the MATLAB Onramp course, and get to the first Module after the introduction, it just loads indefinitely. I have tried clearing session files, using a different browser, check internet speed and even using a mobile hotspot but it’s not helping.When I log in and start the MATLAB Onramp course, and get to the first Module after the introduction, it just loads indefinitely. I have tried clearing session files, using a different browser, check internet speed and even using a mobile hotspot but it’s not helping. When I log in and start the MATLAB Onramp course, and get to the first Module after the introduction, it just loads indefinitely. I have tried clearing session files, using a different browser, check internet speed and even using a mobile hotspot but it’s not helping. onramp MATLAB Answers — New Questions

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