_video_db_tar = _video_db_tar.reshape(
(_video_db_tar.shape[0], _video_db_tar.shape[1], fps, 3))
_video_db_future_tar = _video_db_future_tar.reshape(
(_video_db_tar.shape[0], _video_db_tar.shape[1], fps, 3))
total_num_samples = _video_db_tar.shape[0]
num_testing_sample = int(0.15 * total_num_samples) #use last 1000 as test
if cfg.shuffle_data:
#### shuffle the whole dataset
# index_shuf = get_shuffle_index(total_num_samples)
index_shuf = pickle.load(
open('index_shuf' + '_exp' + str(experiment) + '.p', 'rb'))
print('Shuffle data before training and testing.')
_video_db_tar = shuffle_data(index_shuf, _video_db_tar)
_video_db_future_tar = shuffle_data(index_shuf, _video_db_future_tar)
_video_db_future_input_tar = shuffle_data(index_shuf,
_video_db_future_input_tar)
_video_db_oth = shuffle_data(index_shuf, _video_db_oth)
_video_db_future_oth = shuffle_data(index_shuf, _video_db_future_oth)
# _video_db_future_input_oth = shuffle_data(index_shuf,_video_db_future_input_oth)
#### prepare training data
# data_sanity_check(_video_db_tar,_video_db_future_tar,_video_db_future_input_tar)
### target user
encoder_input_data = _video_db_tar[:-num_testing_sample, :, :][:, :, np.
newaxis, :, :]
# decoder_target_data = _video_db_future_tar[:-num_testing_sample,:,:]
## assign data ## only use one video for now
# encoder_input_data = per_video_db[:,100:110,:]
# temp = per_video_db[:,110:120,:].copy()
# temp1 = np.zeros_like(temp)
# temp1[:,1:,:] = temp[:,:-1,:].copy()
# temp1[:,0,:] = encoder_input_data[:,-1,:]
_video_db,_video_db_future,_video_db_future_input = get_data(datadb,pick_user=False)
total_num_samples = _video_db.shape[0]
if cfg.shuffle_data:
#shuffle the whole dataset
# index_shuf = get_shuffle_index(total_num_samples)
index_shuf = pickle.load(open('index_shuf.p','rb'))
_video_db = shuffle_data(index_shuf,_video_db)
_video_db_future = shuffle_data(index_shuf,_video_db_future)
_video_db_future_input = shuffle_data(index_shuf,_video_db_future_input)
#use last few as test
# num_testing_sample = int(0.15*total_num_samples)
num_testing_sample = 1
encoder_input_data = _video_db[:-num_testing_sample,:,:]
decoder_target_data = get_gt_target_xyz(_video_db_future)[:-num_testing_sample,:,:]
decoder_input_data = get_gt_target_xyz(_video_db_future_input)[:-num_testing_sample,:,:]
### ====================Graph def====================
# Define an input sequence and process it.
encoder_inputs = Input(shape=(None, num_encoder_tokens))