wip
This commit is contained in:
commit
07efc9081e
2
.gitignore
vendored
Normal file
2
.gitignore
vendored
Normal file
@ -0,0 +1,2 @@
|
||||
yolo.h5
|
||||
venv
|
1
README.md
Normal file
1
README.md
Normal file
@ -0,0 +1 @@
|
||||
download yolo model https://github.com/OlafenwaMoses/ImageAI/releases/tag/1.0/
|
BIN
changed_football.mp4.avi
Normal file
BIN
changed_football.mp4.avi
Normal file
Binary file not shown.
BIN
football.mp4
Normal file
BIN
football.mp4
Normal file
Binary file not shown.
94
main.py
Normal file
94
main.py
Normal file
@ -0,0 +1,94 @@
|
||||
from imageai.Detection import VideoObjectDetection
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
|
||||
vid_obj_detect = VideoObjectDetection()
|
||||
vid_obj_detect.setModelTypeAsYOLOv3()
|
||||
|
||||
vid_obj_detect.setModelPath(r"/home/mikolaj/2ait_tech/sportowe/film/yolo.h5")
|
||||
vid_obj_detect.loadModel()
|
||||
|
||||
|
||||
person_points = []
|
||||
ball_points = []
|
||||
|
||||
|
||||
def forFrame(frame_number, output_array, output_count, detected_frame):
|
||||
for index, object in enumerate(output_array):
|
||||
if object['name'] == 'sports ball':
|
||||
ball_points.append((index, object['box_points'][0], object['box_points'][1]))
|
||||
else:
|
||||
person_points.append((index, object['box_points'][0], object['box_points'][1]))
|
||||
|
||||
detected_vid_obj = vid_obj_detect.detectObjectsFromVideo(
|
||||
input_file_path = r"football.mp4",
|
||||
output_file_path = r"changed_football.mp4",
|
||||
frames_per_second=20,
|
||||
log_progress=True,
|
||||
per_frame_function = forFrame,
|
||||
# per_second_function=forSeconds,
|
||||
return_detected_frame = True,
|
||||
)
|
||||
|
||||
with open('saved_cordinats', 'w') as file:
|
||||
file.write(str(person_points))
|
||||
file.write(str(ball_points))
|
||||
|
||||
|
||||
fig = plt.figure()
|
||||
ax = fig.add_subplot(111)
|
||||
# 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)]
|
||||
# ball_points= [(6, 204, 564), (6, 211, 566), (6, 225, 563)]
|
||||
|
||||
COLORS = ['red', 'blue', 'orange', 'pink', 'yellow', 'brown']
|
||||
LABELS = ['p1', 'p2', 'p3', 'p4', 'p5', 'p6']
|
||||
|
||||
persons = {
|
||||
0:{
|
||||
'x': [],
|
||||
'y': []
|
||||
},
|
||||
1:{
|
||||
'x': [],
|
||||
'y': []
|
||||
},
|
||||
2:{
|
||||
'x': [],
|
||||
'y': []
|
||||
},
|
||||
3:{
|
||||
'x': [],
|
||||
'y': []
|
||||
},
|
||||
4:{
|
||||
'x': [],
|
||||
'y': []
|
||||
},
|
||||
5:{
|
||||
'x': [],
|
||||
'y': []
|
||||
},
|
||||
# 6:{
|
||||
# 'x': [],
|
||||
# 'y': []
|
||||
# },
|
||||
}
|
||||
|
||||
try:
|
||||
|
||||
for index, p in enumerate(person_points):
|
||||
persons[p[0]]['x'].append(p[1])
|
||||
persons[p[0]]['y'].append(p[2])
|
||||
for k, v in persons.items():
|
||||
ax.plot( persons[k]['x'], persons[k]['y'], color=COLORS[k], lw=2, label=LABELS[k])
|
||||
|
||||
ball_x = [x[1] for x in ball_points]
|
||||
ball_y = [x[2] for x in ball_points]
|
||||
ax.plot(ball_x, ball_y, color='green', lw=2, label='ball')
|
||||
except:
|
||||
pass
|
||||
|
||||
ax.legend()
|
||||
|
||||
plt.savefig('wykres.png')
|
||||
plt.show()
|
Loading…
Reference in New Issue
Block a user