import VideoClassification.Config.Config as Config
from VideoClassification.model.C3D.C3D import C3D
from VideoClassification.utils.Others.Logger import Logger
from VideoClassification.utils.DataSetLoader.UCF101_DataSetLoader_FromFileName.UCF101Loader import test_UCF101_C3D, \
train_UCF101_C3D
from VideoClassification.utils.Others.toolkits import accuracy, try_to_load_state_dict
from VideoClassification.utils.DataSetLoader.UCF101_DataSetLoader_FromFileName.PictureQueue import PictureQueue, \
GenVariables_C3D
'''
C3D
'''
############ Config
logger = Logger(Config.LOGSpace + Config.EX_ID)
savepath = Config.ExWorkSpace + Config.EX_ID + '/'
import os.path
if os.path.isdir(savepath) == False:
os.mkdir(savepath)
batchsize = 22
############
def C3D_Net_Run():
epochs = 81
loops = 2001
import math
from VideoClassification.utils.Others.Logger import Logger
log = Logger("/tmp/runs/r3")
for step in range(100):
v1 = math.sin(step)
v2 = math.cos(step)
v3 = 2000 * step
log.scalar_summary('model2/v1', v1, step)
log.scalar_summary('model2/v2', v2, step)
log.scalar_summary('model2/v3', v3, step)