visualization about next-prediction HOT 5 CLOSED

This repo does not originally come with visualization instructions. Please refer to this thread. Other people have reported that they can do the visualization according to my reply. For an end-to-end inference and visualization, please refer to the social distancing project. Please post specific problems you have encountered in that repo.

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Social distancing repo-- when I import tensorflow as tf.. it does not detect with tensorflow-gpu, when i install tensorflow instead of tensorflow-gpu it suggests gpu is required for me to compute( as per earlier github issues).

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For inferencing do we nee gpu, Is there compatbility between socialdistancing and this repo related to gpu, I get the below error. I am using local gpu however tensorflowgpu gives me errors
File "code/inference/main.py", line 458, in
feed_dict=feed_dict)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Default MaxPoolingOp only supports NHWC on device type CPU
[[node model_0/pool0/max_pooling2d/MaxPool (defined at /home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for u'model_0/pool0/max_pooling2d/MaxPool':
File "code/inference/main.py", line 263, in
gpuid=args.gpuid)
File "/home/venky/Desktop/Objectdetection/Next_Frame/next-prediction2/next-prediction-master/code/inference/Object_Detection_Tracking/models.py", line 98, in get_model
add_mask=config.add_mask)
File "/home/venky/Desktop/Objectdetection/Next_Frame/next-prediction2/next-prediction-master/code/inference/Object_Detection_Tracking/models.py", line 193, in init
return_elements=None
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/framework/importer.py", line 405, in import_graph_def
producer_op_list=producer_op_list)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/framework/importer.py", line 517, in _import_graph_def_internal
_ProcessNewOps(graph)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/framework/importer.py", line 243, in _ProcessNewOps
for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/framework/ops.py", line 3561, in _add_new_tf_operations
for c_op in c_api_util.new_tf_operations(self)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/framework/ops.py", line 3451, in _create_op_from_tf_operation
ret = Operation(c_op, self)
File "/home/venky/anaconda3/envs/googlenext2/lib/python2.7/site-packages/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()

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Please make sure tensorflow-gpu>= 1.10 < 2.0 is properly installed. You may try reinstalling it with python3.6 as well.

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Closing the issue as it got resolved by installing this package
https://github.com/NVIDIA/tensorflow.git
which helps in using tensorflow-gpu 1.15 with higher CUDA tools ( i am using Cuda 11.4)

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