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Yes, I am the same. Menu disappeared in the Jupyter Notebook. Haven't managed to get it back either. Have subscribed to the bug.
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12-14-2021
02:14 PM
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Im still stumped so don't have any great ideas. When you bring a label image in to ArcGIS, can you please change the symbology to match your classes. The Value field says 0-3, is there a Class field in the label that matches the stats.txt file classes of 1, 7,10,12?
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11-19-2021
11:23 AM
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Hello Q1: Pull some label tiles from the label directory into ArcGIS Pro. Click on the non car areas - if it says 0 its background. Unlabeled areas/tiles area usually background. Q2: Not 100% on this but yes I think it should. Q3: I will increase training time, assuming your tile count goes up. Also when exporting tiles of ships, you will probably need to set a region of interest, so an area mask. To prevent getting huge amounts of data/tiles Regards Tim
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11-19-2021
11:04 AM
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Hello Does running this in python return True? import torch torch.cuda.is_available() And on the Environment tab, did you set the GPU settings?
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11-19-2021
10:28 AM
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-->
Hi Have you seen the documentation on this for prepare_data, it says chip_size - Optional integer, default 224. Size of the image to train the model. Images are cropped to the specified chip_size. If image size is less than chip_size, the image size is used as chip_size. Not supported for SuperResolution, SiamMask, Pix2Pix and CycleGAN.
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11-19-2021
10:15 AM
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Im a bit stumped, but I bet you will find that the blue area in the classification is equivalent to the green in the original image - it just has been coloured differently. Can you try one thing - grab several tiles from the labels directory and pull them into ArcGIS Pro. Show a screen shot of the tiles. I am wondering if all the classes are not getting exported. Although the .emd suggests otherwise. Also what does your stats.txt file show?
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11-07-2021
11:46 PM
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How many tiles were exported in the training data? How many epochs did you train for?
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11-03-2021
12:50 AM
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Yes @Anonymous User it installs now. Many thanks for your help.
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10-25-2021
11:55 PM
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Hi Sandeep I have tried all sorts of things to try to get it to work including a standalone vanilla anaconda environment. But in Windows it gives the below errors. conda install -c esri arcgis_learn=1.9.1 python=3.8
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package python conflicts for:
arcgis_learn=1.9.1 -> boost=1.73 -> python[version='>=2.7,<2.8.0a0|>=3.9,<3.10.0a0|>=3.9,<3.10|>=3.8,<3.9|>=3.7,<3.8|>=3.6,<3.7|>=3.6']
arcgis_learn=1.9.1 -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0']
python=3.8 I have also tried in Linux, the install gets further but then starts coming up with pages of errors such as ClobberError: This transaction has incompatible packages due to a shared path.
packages: esri/linux-64::torch-cluster-1.5.9-py38_torch18.0_cuda11.1_2, esri/linux-64::torch-scatter-2.0.7-py38_torch18.0_cuda11.1_2, esri/linux-64::torch-spline-conv-1.2.1-py38_torch18.0_cuda11.1_2, esri/linux-64::torch-sparse-0.6.10-py38_torch18.0_cuda11.1_1
path: 'lib/python3.8/site-packages/test/utils.py' Any ideas? Thanks Tim
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10-25-2021
02:50 PM
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Hi @Anonymous User I create a blank environment using "conda create --name dl13" and as can be seen but got the below issues trying to install arcgis_learn and python. (dl13) C:\ArcGIS\Pro_\bin\Python\envs\arcgispro-py3>conda install -c esri arcgis_learn=1.9.1 python=3.8
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package python conflicts for:
arcgis_learn=1.9.1 -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0']
arcgis_learn=1.9.1 -> boost=1.73 -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.7|>=3|>=3.6|>=3.9,<3.10.0a0|3.4.*|>=3.9,<3.10|>=3.8,<3.9|>=3.7,<3.8|>=3.6,<3.7']
python=3.8 I also tried to clone arcgispro-py3 and install the arcgis_learn and python - but got pages of conflicts. Such as. Package keras-gpu conflicts for:
esri/win-64::deep-learning-essentials==2.8=arcgispro_4 -> keras-gpu=2.3
defaults/win-64::keras-gpu==2.3.1=0
defaults|defaults/win-64::keras-gpu==2.3.1=0
Package swat conflicts for:
esri|esri/win-64::swat==1.8.1=py37_0
esri/win-64::arcpy==2.8=py37_arcgispro_29734 -> swat
esri/win-64::swat==1.8.1=py37_0 Any ideas? Many Thanks Tim
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10-19-2021
02:44 PM
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Thoughts/Questions... Are you running with a GPU (what is it) and have you set it on the Environmental tab? Grab a tile from the images directory and do a test classify on that. How large is Extract_Bands_Pleiad_2.tif and is it 8-bit unsigned?
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09-29-2021
02:57 PM
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@Anonymous User ok thanks. Any idea when that will be?
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09-21-2021
04:29 PM
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Hello We have 2 GPUs on a windows machine running ArcGIS 2.8.3 and have tried distributed GPU training as described here: https://developers.arcgis.com/python/guide/utilize-multiple-gpus-to-train-model/ I have not managed to get it to work and I am wondering if this is because it only works in Linux. The above web page contains several inconsistencies, such as referring to windows path with: WindowsPath('C:/Users/Admin/AppData/Local/Temp/train_model.py') then later on the nvidia-smi is run in Ubuntu Also the train_model.py file won't run without modification as the line below won't run with out being imported from arcgis.learn m = PSPNetClassifier(data) The issue I am getting is that only one GPU starts processing and then at the end of the 1st epoch crashes (excepts from crash below) File "C:\ArcGIS\Pro_\bin\Python\envs\arcgispro-py3\lib\site-packages\fastai\callback.py", line 347, in on_batch_end dist.all_reduce(val, op=dist.ReduceOp.SUM) AttributeError: module 'torch.distributed' has no attribute 'all_reduce' and AttributeError: module 'torch.distributed' has no attribute 'barrier' Has anyone managed to get this going in Windows? Many thanks
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09-15-2021
08:46 PM
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