mankaransingh / auto-depth Goto Github PK
View Code? Open in Web Editor NEW3D Reconstruction / Pseudo LiDAR via Deep Learning
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kaishijeng cod1 hust-wayne shipingsong noreentry mfkiwl maiminh1996 diogomartinsac anikoiau agmuntianu watchhub anirudhamore goodsmash weeshlowauto-depth's Issues
How to get stereo matching disparity data and camera focal length parameters camera focal length parameters?
Hi, could you supply some scripts for generating virtual depth image using Carla simulator? I collected the virtual image's depth was wrong. The perspective effect of the 3D view composed of the depth map and the left image is incorrect. Do you know where the camera focal length parameters are obtained. How do you compute the picture's disparity？Thank you very much~
Can you tell how to visualize the colored 3D point cloud?
script for Calra capture
You mention Raghav Prabhakar has created a script to do Carla capture in your blog.
Do you know where I can find this script? I like to do my own captures and create new dataset to train
Thanks,
How can I add other vehicles to this code and let them drive automatically at random?
hello !
How can I add other vehicles to this code and let them drive automatically at random?
hello!
runing train.py: What should I do to solve the following error? This needs your help.
runing train.py:
What should I do to solve the following error? This needs your help.
Epoch 1/20
2020-12-16 15:03:45.095319: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2020-12-16 15:03:46.193972: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
2020-12-16 15:03:47.085713: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
Traceback (most recent call last):
File "D:/Simulation_box/WindowsNoEditor/PythonAPI/Auto-Depth/train.py", line 42, in <module>
main()
File "D:/Simulation_box/WindowsNoEditor/PythonAPI/Auto-Depth/train.py", line 39, in main
validation_data= val_generator)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\keras\engine\training.py", line 1732, in fit_generator
initial_epoch=initial_epoch)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\keras\engine\training_generator.py", line 220, in fit_generator
reset_metrics=False)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\keras\engine\training.py", line 1514, in train_on_batch
outputs = self.train_function(ins)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\tensorflow\python\keras\backend.py", line 3792, in __call__
outputs = self._graph_fn(*converted_inputs)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\tensorflow\python\eager\function.py", line 1605, in __call__
return self._call_impl(args, kwargs)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\tensorflow\python\eager\function.py", line 1645, in _call_impl
return self._call_flat(args, self.captured_inputs, cancellation_manager)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\tensorflow\python\eager\function.py", line 1746, in _call_flat
ctx, args, cancellation_manager=cancellation_manager))
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\tensorflow\python\eager\function.py", line 598, in call
ctx=ctx)
File "D:\Users\Anaconda3\envs\tf2-gpu\lib\site-packages\tensorflow\python\eager\execute.py", line 60, in quick_execute
inputs, attrs, num_outputs)
tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[node conv2d_1/convolution (defined at \Users\Anaconda3\envs\tf2-gpu\lib\site-packages\keras\backend\tensorflow_backend.py:3009) ]] [Op:__inference_keras_scratch_graph_12068]
Function call stack:
keras_scratch_graph
Process finished with exit code 1
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