import pandas as pd import numpy as np import cv2 cap = cv2.VideoCapture('cams/new/cut2.mp4') folder_path = "track/expgood/labels/" name = 'cut2' fps = 780 allfiles = [] for i in range(1, fps+1): allfiles.append(folder_path + name + '_' + str(i) + '.txt') # Set the desired dimensions for displaying the video display_width = 1280 display_height = 720 display_width = 1920 display_height = 1080 width = 1920 height = 1080 frame_nb = 0 bleu = (255, 0, 0) vert = (0, 255, 0) if not cap.isOpened(): print("Error opening video stream or file") while cap.isOpened(): ret, frame = cap.read() if ret: df = pd.read_csv(allfiles[frame_nb], header=None, sep=' ') for index, row in df.iterrows(): class_id, center_x, center_y, bbox_width, bbox_height, object_id = row center_x = int(center_x * width) center_y = int(center_y * height) bbox_width = int(bbox_width * width) bbox_height = int(bbox_height * height) top_left_x = int(center_x - bbox_width / 2) top_left_y = int(center_y - bbox_height / 2) bottom_right_x = int(center_x + bbox_width / 2) bottom_right_y = int(center_y + bbox_height / 2) # (19;112) à (636;714) et (86;86) à (1087;715) if (((112-714)/(19-636)) * top_left_x + 112 - ((112-714)/(19-636)) *19 > top_left_y ) and (((86-715)/(86-1097)) * bottom_right_x + 112 - ((86-715)/(86-1097)) *86 < bottom_right_y ): # cv2.rectangle(frame, (top_left_x, top_left_y), (bottom_right_x, bottom_right_y), vert, 2) label = f'Class: {int(class_id)}, Object ID: {int(object_id)}' cv2.putText(frame, label, (top_left_x, top_left_y - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, vert, 1) # obetnir le centre du rectangle center_x = (top_left_x + bottom_right_x) // 2 center_y = (top_left_y + bottom_right_y) // 2 cv2.circle(frame, (center_x, center_y), 5, vert, -1) else : pass # cv2.rectangle(frame, (top_left_x, top_left_y), (bottom_right_x, bottom_right_y), bleu, 2) # label = f'Class: {int(class_id)}, Object ID: {int(object_id)}' # cv2.putText(frame, label, (top_left_x, top_left_y - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, bleu, 1) resized_frame = cv2.resize(frame, (display_width, display_height)) cv2.imshow('Frame', resized_frame) if cv2.waitKey(25) & 0xFF == ord('q'): break frame_nb = frame_nb + 1 else: break cap.release() cv2.destroyAllWindows()