error while executing the scripts for BEAT

[VishnuSai87]

I am getting this error while executing the recently released scripts for BEAT I am not able to find this file in the test folder of the BEAT dataset
self.lmdb_env = lmdb.open(preloaded_dir, readonly=True, lock=False)
lmdb.Error: /home/LivelySpeaker_beat/datasets/BEAT/finaltest/my6d_bvh_rot_2_4_6_8_cache: No such file or directory
Can you tell me if I have to download the whole zip folder of the BEAT dataset or what exctly should I download from the BEAT dataset to run this code.
Thank You

[nehaksheerasagar]

Even I am facing the same issue can you tell me how to extract speakers 2,4,6,8 from the cache file and create the bvh_rot_2_4_6_8_ cache from bvh_rot_cache.
Thank You.

[fcchit]

@VishnuSai87 @nehaksheerasagar I use tmp/process_cache.py to generate the my6d_bvh_rot_2_4_6_8_cache from bvh_rot_cache generated by BEAT preprocessing tools. I'm training the model now.

[nehaksheerasagar]

I run this command:python tmp/process_cache.py
This file got created my6d_bvh_rot_2_4_6_8_cache but it gave me this output:
train, 0/64
Traceback (most recent call last):
File "tmp/process_cache.py", line 58, in
build_data_with_beat("train")
File "tmp/process_cache.py", line 32, in build_data_with_beat
sample = pyarrow.deserialize(sample)
File "pyarrow/serialization.pxi", line 461, in pyarrow.lib.deserialize
File "pyarrow/serialization.pxi", line 423, in pyarrow.lib.deserialize_from
File "pyarrow/serialization.pxi", line 400, in pyarrow.lib.read_serialized
File "pyarrow/error.pxi", line 87, in pyarrow.lib.check_status
pyarrow.lib.ArrowIOError: Cannot read a negative number of bytes from BufferReader.
And when i run the code for train its running fine but when i run the code for test it says number of samples = 0
Thank You.

[VishnuSai87]

After training for testing should we keep the my6d_bvh_rot_2_4_6_8_cache file in the test folder in the dataset to execute the test code because i did that and also got number of samples=0

[zyhbili]

I update the data scripts in data_libs, please see README in the sub folder for details. In short, we mostly follow the original BEAT processing procedure to generate bvh_rot_2_4_6_8_cache. Additionally, we patch it with rot6d and mel and generate my6d_bvh_rot_2_4_6_8_cache.

[zyhbili]

After training for testing should we keep the my6d_bvh_rot_2_4_6_8_cache file in the test folder in the dataset to execute the test code because i did that and also got number of samples=0

We use the finaltest cache for testing. We split the original long seq test dataset into 34 frames for testing following the same operation in TED. Thus, you should split the test dataset using dataloader first.