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View Code? Open in Web Editor NEW🏀 Visualization of NBA games from raw SportVU data logs
🏀 Visualization of NBA games from raw SportVU data logs
Hi,
Would you please share with us the license used for the raw data of the Sport VU dataset?
Hey Kanstantsin,
There is a small bug in the y position of the players and the ball in the animation compared to reality. What we see as the y_pos in the animation is in fact the reflection of the y_pos. You can compare any play you have with highlights on youtube and you will understand what I mean.
A very easy fix would be to adjust the Ball.py and Player.py files as follows:
self.y = ball[3] --> self.y = Constant.Y_MAX - ball[3]
and
self.y = player[3] --> self.y = Constant.Y_MAX - player[3]
obviously, you will need to import the Constant file in both Ball and Player.
Great work otherwise, thanks for posting!
The information on the website is not clear about what exact format should the trained weight file be stored in. For example, should I store the weight variables as a string, a list using pickle or a np.array using pickle?
If you visualize some of the consecutive events they seem to be the exactly the same. Comparing them programatically confirms that.
Why are there such repetitions? Is it intentional to signal something in particular?
Also, what is the criteria for separation between events?
Most of the papers that use the NBA dataset reference this repository but I don't see where the same splits that they all use are found.
想问一下,如果我想获取其他比赛的轨迹数据 ,可以有什么方法吗
数据文件过大,无法clone,能否把数据文件单独放在网盘,github上只留下代码
Hello, thank you for your project and dataset.
About the dataset, I have some questions.
data['events'][i]['moments'][j]
, I can see the list.[?, ?, ?, ?, ?, [[ball information], [player1 information], [player2 information], ..., [player10 information]]]
data['events'][i]['moments']
means the time sequences?Thank you!
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