Comments (3)
Hi, thanks for your interest in our work!
Later I will let you know when I update the BaiduDisk link and post the Google Drive link.
from pedestrian_crossing_intention_prediction.
Now pre-trained models were uploaded and you can see links in README.
It is better to try a larger dataset such as the PIE dataset for achieving more reliable results.
from pedestrian_crossing_intention_prediction.
Thank you for your help
from pedestrian_crossing_intention_prediction.
Related Issues (16)
- About how to get the POSE data HOT 1
- TypeError: int() argument must be a string, a bytes-like object or a number, not 'tuple' HOT 3
- Support for PIE dataset HOT 2
- file error HOT 4
- Global Pooling, when generating local context HOT 1
- Very unfriendly to Windows HOT 1
- 可视化 HOT 4
- 程序运行出现了问题 HOT 2
- Google Drive link is down HOT 5
- Results are different compared with the benchmark paper HOT 3
- GRU modules have dimension error HOT 11
- Cannot reproduce results in paper HOT 5
- zip with models on google drive broken HOT 2
- Confused about parameters and dimension change
- ValueError: bad marshal data (unknown type code) HOT 1
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