Issue on page /notebooks/Training_and_inference_using_Google_Drive.html #2143
Comments
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I tried the suggested fix in the conversation you referenced, but I still received an error during the process: Python 3.11.11 Selection Path Priority Status
Press to keep the current choice[*], or type selection number: ^C × Encountered error while generating package metadata. note: This is an issue with the package mentioned above, not pip. |
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Hi @mrnels19 !
Could you please choose Thanks, Divya |
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Hi @gitttt-1234 ! Thank you for your reply! I chose 3 and then hit enter when prompted. I ran the installation code multiple times, but I could not seem to import sleap later in my code. Below is the response I got after running the installation code, followed by the code to import sleap and the response there. Response to Installation Code: Python 3.7.17 Selection Path Priority Status0 /usr/bin/python3.11 2 auto mode
Press to keep the current choice[*], or type selection number: 3 Code (start and end are marked with **) to import sleap and my response: **import sleap mpl.style.use("seaborn-deep") ModuleNotFoundError Traceback (most recent call last) ModuleNotFoundError: No module named 'sleap' NOTE: If your import is failing due to a missing package, you can To view examples of installing some common dependencies, click the
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Hi, I just wanted to follow up on my previous post (I think the varying font sizes that occurred when I pasted my text made it hard to read), but I still cannot import or load SLEAP in a Google Colab file. I used the code referenced in this issue to install SLEAP, and I chose the number 3 when prompted. However, when I Is there another way to load SLEAP into Google Colab, or a way to evaluate a SLEAP model without using the Google Colab script? Thank you! |
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Hi @mrnels19, We're looking into this, trying to resolve the dependency conflicts. Do you want to run inference with a .slp model? You could create a conda env and install sleap in your local machine and run the model evaluation code in your local directly. Let me know if you have any questions! Thanks, Divya |
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Great, please let me know when the dependency conflict is resolved. I am looking to run inference and model evaluation, and I will let you know if I have any more questions. |
Hello,
I have been trying to install SLEAP in Google Colab to run inference on a set of videos. In the past (last year), I have been able to successfully install SLEAP through the following commands:
However, I now receive errors when running these commands, as shown below (the Warnings were previously present; only the text beginning with the word "error" is new). I have tried to install different versions of SLEAP and I even ran the Training_and_inference_using_Google_Drive.ipynb file provided on the SLEAP website. In both cases, I still receive an error and cannot import SLEAP or run commands associated with SLEAP later in my code. I am running this Google Colab on a 2019 MacBook Pro. If you could provide some input on what is causing this error, I would appreciate it!
WARNING: Skipping opencv-python as it is not installed.
WARNING: Skipping opencv-contrib-python as it is not installed.
Collecting sleap==1.3.1
Using cached sleap-1.3.1-py3-none-any.whl.metadata (11 kB)
Collecting numpy<1.23.0,>=1.19.5 (from sleap==1.3.1)
Using cached numpy-1.22.4.zip (11.5 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting attrs<=21.4.0,>=21.2.0 (from sleap==1.3.1)
Using cached attrs-21.4.0-py2.py3-none-any.whl.metadata (9.8 kB)
Collecting cattrs==1.1.1 (from sleap==1.3.1)
Using cached cattrs-1.1.1-py3-none-any.whl.metadata (12 kB)
Collecting jsonpickle==1.2 (from sleap==1.3.1)
Using cached jsonpickle-1.2-py2.py3-none-any.whl.metadata (1.1 kB)
Requirement already satisfied: networkx in /usr/local/lib/python3.11/dist-packages (from sleap==1.3.1) (3.4.2)
Requirement already satisfied: tensorflow-hub in /usr/local/lib/python3.11/dist-packages (from sleap==1.3.1) (0.16.1)
Collecting h5py<=3.7.0,>=3.1.0 (from sleap==1.3.1)
Using cached h5py-3.7.0.tar.gz (392 kB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting python-rapidjson (from sleap==1.3.1)
Using cached python_rapidjson-1.20-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (22 kB)
Collecting opencv-python<=4.6.0,>=4.2.0 (from sleap==1.3.1)
Using cached opencv_python-4.5.5.64-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)
Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (from sleap==1.3.1) (2.2.2)
Requirement already satisfied: psutil in /usr/local/lib/python3.11/dist-packages (from sleap==1.3.1) (5.9.5)
Collecting qtpy>=2.0.1 (from sleap==1.3.1)
Using cached QtPy-2.4.3-py3-none-any.whl.metadata (12 kB)
Requirement already satisfied: pyzmq in /usr/local/lib/python3.11/dist-packages (from sleap==1.3.1) (24.0.1)
Requirement already satisfied: pyyaml in /usr/local/lib/python3.11/dist-packages (from sleap==1.3.1) (6.0.2)
Collecting pillow<=8.4.0,>=8.3.1 (from sleap==1.3.1)
Using cached Pillow-8.4.0.tar.gz (49.4 MB)
Preparing metadata (setup.py) ... done
Collecting imageio<=2.15.0 (from sleap==1.3.1)
Using cached imageio-2.15.0-py3-none-any.whl.metadata (4.1 kB)
Collecting imgaug==0.4.0 (from sleap==1.3.1)
Using cached imgaug-0.4.0-py2.py3-none-any.whl.metadata (1.8 kB)
Collecting scipy<=1.9.0,>=1.4.1 (from sleap==1.3.1)
Using cached scipy-1.9.0.tar.gz (42.0 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
error: subprocess-exited-with-error
× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
Preparing metadata (pyproject.toml) ... error
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
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