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63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
import os
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import pandas as pd
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import numpy as np
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import cv2
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import time
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cap = cv2.VideoCapture('cams/2/10s.mp4')
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folder_path = "track/exp2/labels/"
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name = '10s'
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fps = 141
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allfiles = []
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for i in range(1,fps+1):
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allfiles.append(folder_path + name + '_' + str(i) + '.txt')
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width = 480
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height = 360
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frame_nb = 0
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if (cap.isOpened()== False):
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print("Error opening video stream or file")
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while(cap.isOpened()):
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ret, frame = cap.read()
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if ret == True:
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df = pd.read_csv(allfiles[frame_nb], header=None, sep=' ')
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for index, row in df.iterrows():
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class_id, center_x, center_y, bbox_width, bbox_height, object_id = row
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center_x = int(center_x * width)
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center_y = int(center_y * height)
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bbox_width = int(bbox_width * width)
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bbox_height = int(bbox_height * height)
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top_left_x = int(center_x - bbox_width / 2)
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top_left_y = int(center_y - bbox_height / 2)
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bottom_right_x = int(center_x + bbox_width / 2)
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bottom_right_y = int(center_y + bbox_height / 2)
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cv2.rectangle(frame, (top_left_x, top_left_y), (bottom_right_x, bottom_right_y), (255, 0, 0), 2)
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# print('bottom_right_y: ', bottom_right_y)
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# print('bottom_right_x: ', bottom_right_x)
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# print('top_left_y: ', top_left_y)
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# print('top_left_x: ', top_left_x)
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label = f'Class: {int(class_id)}, Object ID: {int(object_id)}'
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cv2.putText(frame, label, (top_left_x, top_left_y - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 1)
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cv2.imshow('Frame',frame)
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if cv2.waitKey(25) & 0xFF == ord('q'):
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break
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frame_nb = frame_nb + 1
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else:
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break
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cap.release()
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cv2.destroyAllWindows() |