hi i want to read 8 numerical columns from some txt files for calculating average of these numbers.

indeed i want to make label files that are suitable for training Yolo V5 for an object detection task (using Google Earth Images)

i have some label files (for some images) that contain coordinates of 4 corners for bounding boxes around objects (instances) into my images.

i wrote below codes for reading these numbers (coordinates) from txt files and then i want to calculate average of x1,x2,x3 and x4 and average of y1,y2,y3 and y4 and calculate width and height for bounding boxes. finally normalize them (0 to 1).

```
from google.colab import drive
drive.mount('/content/drive')
file_path = ('/content/drive/MyDrive/labelfiles/P0002_ColabFormat.txt')
def read_bounding_boxes_from_file(file_path):
with open(file_path, 'r') as file:
lines = file.readlines()
bounding_boxes = []
for line in lines:
# Split each line into individual numbers
coordinates = [int(coord) for coord in line.strip().split()]
# Check if the line contains at least 8 coordinates (2 points)
if len(coordinates) >= 8:
# Reshape the coordinates into pairs of (x, y) tuples
bbox = [(coordinates[i], coordinates[i+1]) for i in range(0, len(coordinates), 2)]
bounding_boxes.append(bbox)
return bounding_boxes
def calculate_center_and_dimensions(bbox):
# Extract corner coordinates
# image P0002
image_width = 2557
image_height = 2086
x1, y1 = bbox[0] # Top-left corner
x2, y2 = bbox[1] # Top-right corner
x3, y3 = bbox[2] # Bottom-right corner
x4, y4 = bbox[3] # Bottom-left corner
# Calculate center coordinates
x_center = (x1 + x2 + x3 + x4) / 4
y_center = (y1 + y2 + y3 + y4) / 4
# Calculate width and height
width = max(x1, x2, x3, x4) - min(x1, x2, x3, x4)
height = max(y1, y2, y3, y4) - min(y1, y2, y3, y4)
x_center /= image_width
y_center /= image_height
width /= image_width
height /= image_height
return x_center, y_center, width, height
# Example usage
oriented_bbox = [bounding_boxes] # Example oriented bounding box coordinates
x_center, y_center, width, height = calculate_center_and_dimensions(oriented_bbox)
print("Center coordinates (x_center, y_center):", x_center, y_center)
print("Dimensions (width, height):", width, height)
```

but colab shows below error message:

ValueError Traceback (most recent call last)

in <cell line: 48>()

46 # Example usage

47 oriented_bbox = [bounding_boxes] # Example oriented bounding box coordinates

—> 48 x_center, y_center, width, height = calculate_center_and_dimensions(oriented_bbox)

49 print(“Center coordinates (x_center, y_center):”, x_center, y_center)

50 print(“Dimensions (width, height):”, width, height)

in calculate_center_and_dimensions(bbox)

20 image_width = 2557

21 image_height = 2086

—> 22 x1, y1 = bbox[0] # Top-left corner

23 x2, y2 = bbox[1] # Top-right corner

24 x3, y3 = bbox[2] # Bottom-right corner

ValueError: too many values to unpack (expected 2)