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Dear Sandeep Kumar, I am learning a model for pools. When I set bigger chip size, I am not able to get to detail like the attached one. - the size is 200 to 200 pixels and cell size 0.045 (because the map is in WebMercator, I believe it´s in meters - am I right? ) - and the real size of the area is around 10x meters. If I set the chip to 256x256 and pixel size to 0.2, I don´t think the resul is usable - see So I don´t know, if there is any other way, how to set the export of training chips more proper way? The error I mentioned in the initial post - have you seen this? It seems for me some issue with the chips themselves. - RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. pls help - PyTorch Forums but I have no idea, how to identified the bad chips. Thank you for any ideas. Regards, Vladimir
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12-02-2019
06:52 AM
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Dear all, I have issue with deep learning tools. I exported 12 000 training chips from Esri Imagery basemap to TIFF - see settings.png The TIFFs looks fine as well as the labels file. On calling data = prepare_data(data_path, class_mapping={1:'Pool'}, batch_size=64) I am getting error - UserWarning: It's not possible to collate samples of your dataset together in a batch. warn(message) For data.show_batch() - now I am getting result - RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 19 and 10 in dimension 3 at ..\aten\src\TH/generic/THTensor.cpp:711 I am not sure what does it mean? Does the Export training data tool corrupt some chips? Is there a way how to find out which chips are corrupted? Or how to fix it? The chips were created in PRO by Export training data tool, so these could be fine. Thank you for any idea. Vladimir
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11-29-2019
08:16 AM
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Dear Shaun, ok, thank you. I will duplicate this issue to the github. Thank you for help.
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11-12-2019
03:48 AM
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Dear Shaun, this issue I met in Jupyter from PRO Final 2.4. I don´t know now, what Learn Module version was there. Testing on 2.5 is still on my To-Do list.
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11-11-2019
05:04 AM
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This would be really great. Now the inability to set what will be in the header of the statistic pop-up is confusing for user.
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11-04-2019
06:49 AM
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Dear Dan, It CC 3.0 would be supported by PyTorch - the NVIDIA CUUDA K4000 should works fine by - CUDA - Wikipedia. But as Shaun Walbridge wrote CC 3.5 is needed and there K4000 is really not supported.
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10-31-2019
09:48 AM
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Dear Shaun, I am sorry for my late answer. I am testing it on 2.5 Beta - but there I am having another issues in jupyter where learn module is unable to load required fastai and other packages (even if these packages are installed) - another story. data.show_batch() shows just the warning and nothing more. The same error was raised for ssd = SingleShotDetector(). I tried to install CPU based packages, but it ended up with another error - so I have to left this way. If CUDA Compute capability 3.5 support is needed - it should be documented somewhere in Esri documentation. I cannot find it there. It could mislead some users. Have a great day. Regards, Vladimir
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10-31-2019
08:51 AM
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Dear Dan, I tried to reinstall pytorch from pytorch channel - -c pytorch pytorch=1.0.0, but it does not install further packages. I am installing this version since I am using the workflow from Rohit Singh here - https://medium.com/geoai/how-we-did-it-end-to-end-deep-learning-in-arcgis-dd5b10d87b8, so I don´t know If I can use the older package of pytorch. Also I tried to install manually pytorch-cpu packages, but it did not help and I was not able to use - data.show_batch() function from deep learning module. It seems that for using esri deep learning module, you need a newer GPU - on another machine with Quadro M2000 - which running on newer core that K4000, it works fine.
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10-22-2019
11:26 PM
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Dear Dan, cannot find the switch from GPU to CPU libs for esri Python deep learning module.
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10-21-2019
01:26 AM
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Dear Robert, I don´t use PyTorch directly - but via Python API (learn module) or ArcGIS PRO. For both, when using tools for deep learning you are need Pytorch installed. The problem is, that these tools does not run on older graphic cards - for example as is Quadro K4000. Which support CUDA, but just only some older version. I cannot find what version of CUDA the supported graphic card must support and if there any workaround for Python API and ArcGIS PRO to use deep learning tools in machine with this older GPU. Thank you for any idea.
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10-20-2019
11:40 PM
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Hello, I would like to ask, what is the minimal requirement to graphic card for deep learning in Esri (Python API learn module / ArcGIS PRO - Deep learning tools). I have installed as documented - fastai=1.0.39 pytorch=1.0.0 torchvision, and it seems that everything works well. The probelm begins with data.show_batch() where I get error - Found GPU0 Quadro K4000 which is of cuda capability 3.0 It seems, that this GPU is no longer supported by underlying PyTorch. I have 2 questions: 1) would it be possible to document it somewhere - which cards are supported and which does not 2) Is there any workaround how to run Deep learning on machine with Quadro K4000? Thank you. Vladimir
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10-18-2019
10:12 AM
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Dear Jonathan, there is not so much in the log - just these four lines: [2019-10-01T16:12:45,697][INFO ][o.e.n.Node ] [GISCENTR002.AD.LOCAL] stopping ... [2019-10-01T16:12:46,927][INFO ][o.e.n.Node ] [GISCENTR002.AD.LOCAL] stopped [2019-10-01T16:12:46,954][INFO ][o.e.n.Node ] [GISCENTR002.AD.LOCAL] closing ... [2019-10-01T16:12:47,315][INFO ][o.e.n.Node ] [GISCENTR002.AD.LOCAL] closed Other files here mention just a time - month ago - when site location was changed from 😧 drive to G: drive. I think this could be the trigger of the issue, because we found, that in some portal configs file the 😧 drive was not changed to G: drive. On the other hand, the Portal was running fine for the whole month after site location was changed. Any idea? Thank you.
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10-08-2019
03:24 AM
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Hello, we are having similar issue. JAVA process is not running. JAVAW seems to be ok as well as internal DB is running (connection via pgadmin works fien). But, we are unable to open home or portaladmin page. The log starts with - The portal has been initialized and configured but is not accessible. The internal portal database does not appear to be running or accepting connections and it´s full of - > <Msg time="2019-10-07T12:20:23,404" type="WARNING" code="218014" source="Portal" process="3364" thread="1" methodName="" machine="GISCENTR002.AD.LOCAL" user="" elapsed="" requestID="">Starting Index Service.</Msg> <Msg time="2019-10-07T12:20:23,438" type="WARNING" code="218015" source="Portal" process="3364" thread="1" methodName="" machine="GISCENTR002.AD.LOCAL" user="" elapsed="" requestID="">Started Index Service.</Msg> We are not able to loging to reindex - is there any way how to reindex without portaladmin or reinstall the indexisng service? Thank you.
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10-07-2019
05:28 AM
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Dear Thomas, I just want to follow up your previous answer with a question - does this limits also publishing map/image service when mosaic dataset (with pyramids and overviews) in registered SDE/FGDB is the source for the service and when this mosaic dataset referencing ECW files? Thank you.
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09-16-2019
08:08 AM
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