Open safalabolo opened 2 years ago
Hi safalabolo,
my first guess would be that this has something to do with a conflict between the tensorflow/keras versions used in the tutorial (and for creating this model you want to load) and your installed version. I was able to reproduce the error with tf 2.8 and could solve it by installing tf 2.2, which was also used in the tutorial. You can install a specific version by using tensorflow::install_tensorflow(version = "2.2.0")
. However, it is probably a good idea to test that in a separate conda environment that you create beforehand (using conda_create()
and naming it, e.g., "mytestenv"), then do tensorflow::install_tensorflow(envname = "mytestenv",version = "2.2.0")
Best,
Christian
Hello @DaChro. I tried the workaround of this seemingly lovely R tutorial but to no avail.
See attached log. issue_log_conda_tensorflow.txt
If you could please keep this workflow current it will be good as there are not many other such tutorials out there explaining such object detection/classification.
Hi Christian, thank you for sharing this important material!
After performing all the steps related to installing the libraries, etc.
install.packages(c("keras","tfdatasets","mapview","stars","rsample","gdalUtils","purrr", "magick", "jpeg"))
reticulate::install_miniconda() keras::install_keras()
reticulate::py_config() tensorflow::tf_config() keras::is_keras_available()
After downloading and unzipping the tutorial data, when I start the block including the Line 235 of the Tutorial_DL_UAV.Rmd file
I have the following error:
Detailed traceback: File "C:\Users\Utente\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler raise e.with_traceback(filtered_tb) from None File "C:\Users\Utente\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\base_layer.py", line 349, in init raise TypeError(
Unfortunately I was unable to understand why. Thanks in advance for the support.