Welcome to the DeepLabCut wiki!

This step-by-step article describes how to troubleshoot ASP.NET Web applications. ASP.NET applications run differently than earlier Web applications. Therefore, ASP.NET applications require different techniques for isolating and for resolving problems. Problem with the complier of Dev C in windows 8. After running following program in dev c 5.7 1 in windows 7 show me same problem though i have done everything that u described.

Here are some Troubleshooting tips for DeepLabCut 2.x+:You can search within the whole repository by using the search box in the top left corner! (just be sure to click: in this repository)

TIPS: The Jupyter Notebooks provided are fully “run' so you can see expected outputs. They are also annotated with potential errors and considerations. Additionally, with testing of the Notebooks on Colaboratory (https://colab.research.google.com) the user can directly search for any error messages that arise, as typically they involve TensorFlow or other packages not managed by these authors. Please check the GitHub open/closed issues as well!

You can also always get more info about any function with:

HELP:

In ipython/Jupyter notebook:

deeplabcut.nameofthefunction?

In Python & pythonw (MacOS):

help(deeplabcut.nameofthefunction)

Dev C++ Troubleshooting Run Error Code

DeepLabCut Installation:

'import deeplabcut' fails in Jupyter Notebook If you installed deeplabcut in a conda environment, you need to switch to that environment within Jupyter (go to Kernel > change Kernel). If this is not possible first run: conda install nb_conda then restart the terminal, and then in Jupyter now you can change the kernel to specific environments in Jupyter

.bash: git: command not found. Git is not installed on the computer. Install git using https://git-scm.com/book/en/v2/Getting-Started-Installing-Git

conda: command not found. Anaconda is not installed on the computer. Install Anaconda using https://conda.io/docs/user-guide/install/index.html

gcc: error: unable to find utility 'gcc'
xcrun: error: invalid active developer path
These errors often occur after updating MacOS. The fix is to upgrade the Xcode toolkit as follows.
Open Terminal, and run xcode-select --install, followed by xcode-select --reset. Restart Terminal for changes to take effect. If the error persists, enter the command sudo xcode-select -switch /Library/Developer/CommandLineTools. Terminal will ask for your password; note that the password is not shown as you type.

During labeling videos, OSError: [WinError 6] The handle is invalid. This happens on some Windows installation if ffmeg is not installed correctly. Please install ffmeghttps://video.stackexchange.com/questions/20495

Access Denied. Insufficient permission to create directories. OSError: symbolic link privilege not held. This error is specific to the users of Windows operating system. Open command prompt with administrative rights. Use `Run as administrator' while opening the command prompt.

TensorFlow session or import errors. TensorFlow, CUDA & Driver versions & When you install TensorFlow, you must have the correct CUDA library and driver for the GPU card. & Check the following guide: https://developer.nvidia.com/cuda-toolkit-archive.

Windows: one user reports an issue with PyTables (i.e. here) pd.read_hdf(path). The solution was to upgrade tables from 3.4.4 to 3.4.5.dev using: pip install git+https://github.com/PyTables/PyTables

New! As of 2.0.5 MacOS is supported! For previous versions, MacOS was not supported. See here: https://github.com/AlexEMG/DeepLabCut/issues/101#issuecomment-437628340, and here: https://github.com/AlexEMG/DeepLabCut/issues/141

DeepLabCut 2.1 requires Shapely Please use a new conda env if you are updating, and/or when you want to use an older environment, please also run conda install shapely plus pip install deeplabcut2.1 See issues #445 and #446

Launch the Project Manager GUIyou can now (as of 2.1.4) launch the GUI by running: python -m deeplabcut. If you get the response that the GUI cannot be loaded in light mode, simply first run export DLClight=False then try python -m deeplabcut again.

Launching Jupyter Notebooks:ERROR:browser_gpu_channel_host_factory.cc(103)] Failed to launch GPU process.Please see the fix here, i.e. you must run 'export BROWSER=google-chrome'https://github.com/jupyter/notebook/issues/2836#issuecomment-337643224

Create New Project:

FilesExistsError. When creating a project, if you do not encase the video path with [ ], it will create a corrupt directory! Delete the corrupt directory and correct the error by placing the video/s inside brackets [ ].

The path must be a string that is passed for videos and for the working directory. If not, you will get errors!i.e. in Windows enter paths by either:

r`C:UserscomputernameVideosreachingvideo1.avi'

`C:UserscomputernameVideosreachingvideo1.avi' (i.e. double backslashes between C: and Users)

UnboundLocalError: local variable 'cfg' referenced before assignment. Extract frames, or any point where you set the config.yaml path, if it is improperly formatted, you will get this error. Solution: re-set your config_path with the correct formatting (see above). This error also occurs if you made a mistake in the config.yaml file formatting, i.e. body parts incorrectly formatted, etc! So check carefully.

Extracting Frames/creating videos: OpenCV issue

OpenCV and moviepy both have issues using logitech webcams, see post: https://github.com/AlexEMG/DeepLabCut/pull/476#issuecomment-551788921. It may appear to work fine, but you may have issues creating labeled videos with these types of videos as it does not detect the FPS correctly!

Training the network (stopping training):

KeyboardInterrupt. Stopping training causes (seemingly many) error messages. These are normal, as you've interrupted the process by hitting CTRL+C or it reached the end point (default 1.03 M iterations)

Weights not downloaded. If you get permission errors FileNotFound (or ValueError: The passed save_path is not a valid checkpoint: xxxDeeplabcutlibsite-packagesdeeplabcutpose_estimation_tensorflowmodelspretrainedresnet_v1_50.ckpt) when you run training, first check if the RestNet weights downloaded.

This is an error more common in Windows, but some docker containers might not have privileges for this (it can be user specific). They should be under 'init_weights' (see path in the pose_cfg.yaml file).For Windows, also please install GITBASHhttps://gitforwindows.org/ and OPEN cmd by right-clicking 'run as ADIM'

You can 'cd' in the terminal to the package location!

• i.e. in linux copy and paste this in: cd /usr/local/lib/python3.6/dist-packages/deeplabcut/pose_estimation_tensorflow/models/pretrained/

• in Windows: cd C:UsersYourComputerNameAnaconda3envsDLCLibsite-packagesdeeplabcutpose_estimation_tensorflowmodelspretrained

And if you type 'ls' to see the list of files, you should see the resnet: resnet_v1_50.ckpt

If it is not there, run sudo download.sh then change the permissions: sudo chown yourusername:yourusername resnet_v1_50.ckpt

Dev C++ Troubleshooting Run Error Download

See more tips here: https://github.com/MMathisLab/Docker4DeepLabCut2.0#using-the-docker-for-training-and-video-analysis Laravel app key generate command.

Troubleshooting (2):if it appears the training does not start (i.e. 'Starting training..' does not print immediately), then you have another session running on your GPU. Go check 'nvidia-smi' and look at the process names. You can only have 1 per GPU!)

Evaluate the trained network:

Could not load matplotlib icon: .. In Jupyter notebooks or in the terminal this is just a warning, but the plots are being made elsewhere. We do not suppress error messages by default.

Dev C Troubleshooting Run Error Free

Video Analysis:

The videos are analyzed. but there are videos that were not analyzed!.. When using deeplabcut.analyze_videos make sure DeepLabCut looks for the right type of videos in the directory you passed. Perhaps change the videotype accordingly. For instance, use: videotype=`.mp4'. By default it looks for videos that end with '.avi'.

This also happens if you do not put the video in [ ], i.e. this is incorrect:deeplabcut.analyze_videos(config_path, '/yourvideofolder')

This is correct:deeplabcut.analyze_videos(config_path,[ '/yourvideofolder'])

SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated UXXXXXXXX escape

In windows enter paths by either:

r`C:UserscomputernameVideosreachingvideo1.avi'

`C:UserscomputernameVideosreachingvideo1.avi'

see also: https://stackoverflow.com/questions/1347791/

Outlier Extraction

Dev C Troubleshooting Run Error 2

In Windows, you need to run most all the steps with ADMIN rights (i.e. when you open cwd you need to run as admin. You can get a [WinError 5] or [WinError 6] if not!