ywangeq / instance_dataset_gen

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A python version is under the Test_data file

Step1

download the raw data (2011_09_26_drive_0002_sync....) in the Test_data/2011_09_26

Step2

run 'python generator.py' to get the each label

Step3

run ' python path_genertor.py' to get the test.txt which contains the prepared data

Step4

run 'python gene_data.py'  the Kitti/npydata will store all the dataset,
I concat the data[:,:,:4] and the mask [:,:,5] in the one file. So each file in the Killt/npydata will have the shape 64 * 512 *6

Attention

When you try to use the Step4, you need to change the index in the line 400:
        id_name = para.name[46:67] # 2011_09_26_drive_000
        id_root = para.name[79:89] # 00000001
To get the right name depend on you root 

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