Hey there, I’ve dealt with this exact frustration before—installing a package thinking it’ll work, only to have Jupyter throw that missing module error. Let’s walk through the most reliable fixes:

• First, confirm Jupyter is using the right Python environment
  Jupyter often runs in a different environment than your terminal’s default. To check which Python executable your notebook is using, run this in a cell:

  import sys
  print(sys.executable)
  

  Copy that path, then open your terminal and install the package using that specific Python instance. For example, if the path is /Users/you/venv/bin/python, run:

  /Users/you/venv/bin/python -m pip install object-detection-api
  

  This ensures the package is installed in the environment Jupyter is actually using.

• Manually add the package path to Jupyter’s sys.path
  If the package is installed but Jupyter can’t locate it, you can explicitly tell Python where to find it. First, find the installation location of object-detection-api by running this in your terminal:

  pip show object-detection-api
  

  Look for the Location line (it’ll be something like /usr/local/lib/python3.10/site-packages). Then, add this at the top of your notebook before importing object_detection:

  import sys
  sys.path.append("/the/location/you/found")
  

  If you don’t see an object_detection folder directly in that location, check if it’s nested inside another directory (like tensorflow or a subfolder) and add that parent path instead.

• Use the official TensorFlow Object Detection API setup (if the PyPI package fails)
  Sometimes the PyPI object-detection-api wrapper doesn’t set up the module structure correctly. The official approach is more reliable:

  1. Clone the TensorFlow Models repository:

     git clone https://github.com/tensorflow/models.git
     

  2. Navigate to the research directory and compile the protobuf files:

     cd models/research
     protoc object_detection/protos/*.proto --python_out=.
     

  3. Install the package locally:

     pip install .
     

  4. In your Jupyter notebook, add the necessary paths before importing:

     import sys
     sys.path.append("/path/to/models/research")
     sys.path.append("/path/to/models/research/slim")
     

These steps almost always resolve the module not found issue for me. Give them a try!

内容的提问来源于stack exchange，提问作者zasha