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- Here is an example of YOLO algorithm Python code12. The code uses the OpenCV library and the YOLO algorithm to perform object detection. The code loads the YOLO algorithm and the weights and configuration files1. It then uses the algorithm to detect objects in an image2. The code is written in Python and can be used to detect objects in images or videos.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Here is the complete code for this program import cv2 import numpy as np #Load YOLO Algorithm net=cv2.dnn.readNet("yolov3.weights","yolov3.cfg")www.codespeedy.com/yolo-object-detection-from-i…
!./darknet yolo test /content/darknet/cfg/yolov1.cfg /content/yolov1.weights /content/darknet/data/kite.jpgimport cv2 import matplotlib.pyplot as plt import os.pathfig,ax = plt.subplots ()ax.tick_params (labelbottom="off",bottom="off") ax.tick_params (labelleft="off",left="off") ax.set_xticklabels ([]) ax.axis ('off')file = '/content/darknet/predictions.jpg'if os.path.exists (file): img = cv2.imread (file) show_img =...
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