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SSCMA for Google Colab Training Example does not work #306
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When running the "apple" object detection collab notebook and following the grove v2 guide "https://wiki.seeedstudio.com/grove_vision_ai_v2_sscma/":
Setup errors out:
"Checking if CUDA available... OK
ERROR: Could not find a version that satisfies the requirement torch==2.0.0 (from versions: 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.9.0, 2.9.1, 2.10.0, 2.11.0)
ERROR: No matching distribution found for torch==2.0.0
And also...
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
ipython 7.34.0 requires jedi>=0.16, which is not installed.
google-colab 1.0.0 requires requests==2.32.4, but you have requests 2.28.2 which is incompatible.
sphinx 8.2.3 requires requests>=2.30.0, but you have requests 2.28.2 which is incompatible.
opencv-contrib-python 4.13.0.92 requires numpy>=2; python_version >= "3.9", but you have numpy 1.26.4 which is incompatible.
xarray-einstats 0.10.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
dataproc-spark-connect 1.0.2 requires tqdm>=4.67, but you have tqdm 4.65.2 which is incompatible.
shap 0.51.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.
yfinance 0.2.66 requires requests>=2.31, but you have requests 2.28.2 which is incompatible.
jax 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
google-adk 1.27.1 requires requests<3.0.0,>=2.32.4, but you have requests 2.28.2 which is incompatible.
libpysal 4.14.1 requires requests>=2.32.0, but you have requests 2.28.2 which is incompatible.
spopt 0.7.0 requires tqdm>=4.66.0, but you have tqdm 4.65.2 which is incompatible.
datasets 4.0.0 requires requests>=2.32.2, but you have requests 2.28.2 which is incompatible.
datasets 4.0.0 requires tqdm>=4.66.3, but you have tqdm 4.65.2 which is incompatible.
jaxlib 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
cupy-cuda12x 14.0.1 requires numpy<2.6,>=2.0, but you have numpy 1.26.4 which is incompatible.
tobler 0.13.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
tobler 0.13.0 requires tqdm>=4.67, but you have tqdm 4.65.2 which is incompatible.
pytensor 2.38.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.
rasterio 1.5.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.
blobfile 3.2.0 requires urllib3>=2, but you have urllib3 1.26.20 which is incompatible.
pymc 5.28.1 requires rich>=13.7.1, but you have rich 13.4.2 which is incompatible.
I have also tried to build with SSCMA on my own machine and i see the same errors...not much hope if even Seeed's own notebooks dont work.
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