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Some tweaks #91
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Some tweaks #91
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Update README.md
-> Changed import statement for imread. -> Updated directories -> Changed the output_name initialisation statement to actually write-over the existing file
changed tf.app.run(main) to tf.compat.v1.app.run(main) as app.run has been shifted in v2
made compatible with tf version 1 by replacing tf. with tf.compat.v1. wherever possible
made compatible with tf.version 1
made compatible with tf.version1
changed kip_dims to keepdims in line 66
made compatible with tf v1
Made compatible with tf v1
made compatible with tf v1
Changed batch size in line 29, from 2 to 1.
Added comment explaining argparse functions
Added links for understanding tf.Graph(), tf.sess()
Allows for splitting raw Kitti data into training and validation sets
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Hi!
I am an undergrad and was trying to implement the Voxelnet paper while I came across your repository. I truly appreciate your work and the effort you put in while implementing the paper. But there were some tweaks I had to do make the code train on the dataset. I wanted to include them in your repository(main) so that if anyone else tries to directly implement it then they don't face the same issues. I have just started learning machine learning literature and please tell me if you find anything wrong or unnecessary in the pull request I am making. Thanks.