sladebot / deepvo

Implementing Monocular Visual Odometry with Deep Learning using TensorFlow
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value error at the beginning #10

Closed wanyiming2017 closed 6 years ago

wanyiming2017 commented 6 years ago

... regression_w/Adam:0 regression_w/Adam_1:0 regression_b/Adam:0 regression_b/Adam_1:0 0 step : 0 test lym : 0 Current Trajectory is : 3 read_path:/home/cloud/Downloads/deepvobestversion/raw_data/sequences/03/image_2/000005.png (1, 5, 6) (1, 5, 384, 2560) Label_batch [[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [-1.10110200e-02 -1.71216400e-02 9.61713000e-01 4.32596538e-03 1.53658108e-03 -7.05572688e-04] [-1.69952900e-02 -3.30415800e-02 1.92488500e+00 5.22625554e-03 2.12200806e-03 1.39507374e-03] [-3.10670200e-02 -6.34185300e-02 2.88805400e+00 9.17510511e-04 2.19435518e-03 2.87723194e-03] [-4.46273800e-02 -9.50362100e-02 3.84831200e+00 -5.54011322e-03 1.45117603e-03 4.37030068e-03]] Traceback (most recent call last): File "/home/cloud/Downloads/lym/v3/deepvo-master/src/main.py", line 539, in main() File "/home/cloud/Downloads/lym/v3/deepvo-master/src/main.py", line 512, in main batch_x, batch_y = kitty_data.get_next_batch(isTraining=False) ValueError: too many values to unpack (expected 2)

Process finished with exit code 1