Python using OpenCV Assignment Answers

Question:

I am writing a program in Python using OpenCV and image processing and help.

import sys

import numpy as np

model_config = os.path.abspath("yolov3.cfg")

model = cv2.dnn.readNet(model_weights, model_config)

# Initialize video capture

cap = cv2.VideoCapture(video_path)

height, width, _ = frame.shape

# Detect objects in the frame

# Process the detected objects

for output in layer_outputs:

if confidence > 0.1 and classes[class_id] == "airplane":

center_x, center_y, w, h = (detection[0:4] * np.array([width, height, width, height])).astype("int")

# Display the frame

cv2.imshow("Aircraft Detection", frame)

cv2.destroyAllWindows()

if __name__ == "__main__":

detect_aircraft(video_path)

I am very new to image processing, OpenCV, and anything ML and Neural Net related.

Python using OpenCV Answer and Explanation

2. Model Configuration (yolov3.cfg):

• Double-check the yolov3.cfg file. Ensure it defines the "airplane" class correctly within the configuration. You might need to modify the class filters or output layers depending on your model.