Update hashbangs to python3

kini5gowda · Oct 14, 2020 · 8a75e80 · 8a75e80
1 parent 892af1b
commit 8a75e80
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diff --git a/nodes/camera b/nodes/camera
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
 # Copyright (c) 2018 NVIDIA Corporation. All rights reserved.
 # This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
 # https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

diff --git a/nodes/dope b/nodes/dope
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
 
 # Copyright (c) 2018 NVIDIA Corporation. All rights reserved.
 # This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

diff --git a/scripts/train.py b/scripts/train.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
 
 # Copyright (c) 2018 NVIDIA Corporation. All rights reserved.
 # This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
@@ -31,15 +31,15 @@
 This is the DOPE training code.  
 It is provided as a convenience for researchers, but it is otherwise unsupported.
 
-Please refer to `python train.py --help` for specific details about the 
+Please refer to `python3 train.py --help` for specific details about the 
 training code. 
 
 If you download the FAT dataset 
 (https://research.nvidia.com/publication/2018-06_Falling-Things)
 you can train a YCB object DOPE detector as follows: 
 
 ```
-python train.py --data path/to/FAT --object soup --outf soup 
+python3 train.py --data path/to/FAT --object soup --outf soup 
 --gpuids 0 1 2 3 4 5 6 7 
 ```