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Results of data training #5
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thanks for being interested in our work.
btw, I think you might also be interested in another work based on imitation learning and reinforcement learning, please checkout out https://github.com/chychen/RL_strategies. (However, again it had been no longer maintained since 3 years ago.) thanks again, and good luck with your research. |
Thank you very much. You can still reply to my questions!
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发件人: "Jay ***@***.***>;
发送时间: 2022年6月28日(星期二) 下午3:33
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主题: Re: [chychen/BasketballGAN] Results of data training (Issue #5)
感谢您对我们的工作感兴趣。
关于 mp 4 一代的失败,我觉得可能和开发环境有关, 4 年前就测试过了。
关于训练时间,它应该在几个小时内完成与一个单一的 V100 GPU ,有些错误那里,然而,该项目已经不再维护。
关于数据汇集,我们随机修剪成固定长度的序列进行训练。
btw ,我想你可能也会对另一个基于模仿学习和强化学习的作品感兴趣,请去看看https://github.com/chychen/RL_strategies.(然而,再次,它已不再维持自 3 年前。
再次感谢,祝你研究顺利。
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Sorry, I can't remember, it should be less than 6 hours in single 1080Ti or 2080Ti. |
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发送时间: 2022年7月4日(星期一) 中午11:55
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主题: Re: [chychen/BasketballGAN] Results of data training (Issue #5)
Sorry, I can't remember, it should be less than 6 hours in single 1080Ti or 2080Ti.
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I tried to train these data, but failed to generate an MP4 file. I changed the format to GIF and started training successfully. According to up, are there more than 70000 offensive rounds? I have been training with V100 for a week and only trained 20000 rounds.
I found that the GIF generated by training does not include the picture of goals. Is it until the players shoot?
![reconstruct19300](https://user-images.githubusercontent.com/54136969/176115633-8f092db0-2b0b-47a1-a7ea-57a3db7ca368.gif)
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