94 lines
2.3 KiB
Python
94 lines
2.3 KiB
Python
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from imageai.Detection import VideoObjectDetection
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import matplotlib.pyplot as plt
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vid_obj_detect = VideoObjectDetection()
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vid_obj_detect.setModelTypeAsYOLOv3()
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vid_obj_detect.setModelPath(r"/home/mikolaj/2ait_tech/sportowe/film/yolo.h5")
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vid_obj_detect.loadModel()
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person_points = []
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ball_points = []
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def forFrame(frame_number, output_array, output_count, detected_frame):
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for index, object in enumerate(output_array):
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if object['name'] == 'sports ball':
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ball_points.append((index, object['box_points'][0], object['box_points'][1]))
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else:
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person_points.append((index, object['box_points'][0], object['box_points'][1]))
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detected_vid_obj = vid_obj_detect.detectObjectsFromVideo(
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input_file_path = r"football.mp4",
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output_file_path = r"changed_football.mp4",
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frames_per_second=20,
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log_progress=True,
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per_frame_function = forFrame,
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# per_second_function=forSeconds,
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return_detected_frame = True,
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)
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with open('saved_cordinats', 'w') as file:
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file.write(str(person_points))
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file.write(str(ball_points))
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fig = plt.figure()
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ax = fig.add_subplot(111)
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# person_points = [(0, 206, 376), (1, 1166, 405), (2, 42, 362), (3, 710, 390), (4, 754, 408), (5, 1083, 378), (0, 216, 383), (1, 64, 367), (2, 709, 387), (3, 750, 400), (4, 1087, 374), (5, 1179, 389)]
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# ball_points= [(6, 204, 564), (6, 211, 566), (6, 225, 563)]
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COLORS = ['red', 'blue', 'orange', 'pink', 'yellow', 'brown']
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LABELS = ['p1', 'p2', 'p3', 'p4', 'p5', 'p6']
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persons = {
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0:{
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'x': [],
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'y': []
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},
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1:{
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'x': [],
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'y': []
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},
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2:{
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'x': [],
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'y': []
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},
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3:{
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'x': [],
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'y': []
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},
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4:{
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'x': [],
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'y': []
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},
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5:{
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'x': [],
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'y': []
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},
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# 6:{
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# 'x': [],
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# 'y': []
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# },
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}
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try:
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for index, p in enumerate(person_points):
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persons[p[0]]['x'].append(p[1])
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persons[p[0]]['y'].append(p[2])
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for k, v in persons.items():
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ax.plot( persons[k]['x'], persons[k]['y'], color=COLORS[k], lw=2, label=LABELS[k])
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ball_x = [x[1] for x in ball_points]
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ball_y = [x[2] for x in ball_points]
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ax.plot(ball_x, ball_y, color='green', lw=2, label='ball')
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except:
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pass
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ax.legend()
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plt.savefig('wykres.png')
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plt.show()
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