如何获取TensorFlow Object Detection API版本？解决版本兼容问题

Got it, let's sort this out for you—here's how to check your TensorFlow Object Detection API version and find the matching TensorFlow release that will play nice with it:

You have a couple straightforward ways to get this info:

• Check repository files directly: If you cloned the official TensorFlow Model Garden (where the OD API lives now), look for either object_detection/__init__.py or setup.py in the API's directory. Open __init__.py and you’ll see a line like __version__ = '2.14.0' that spells out the version. Alternatively, setup.py will have a version field with the same info.
• Use a quick Python snippet: Fire up your Python environment (the one where you have the OD API installed) and run this:

import object_detection
print(object_detection.__version__)

If you get an import error, make sure the OD API directory is added to your Python path first.

The OD API is tightly tied to specific TensorFlow versions—here’s the general rule of thumb for recent releases:

• OD API v2.14.x → TensorFlow 2.14.x
• OD API v2.13.x → TensorFlow 2.13.x
• OD API v2.12.x → TensorFlow 2.12.x

For older standalone versions of the OD API (pre-Model Garden integration), the matching is similar:

• OD API v1.15 → TensorFlow 1.15
• OD API v2.0 → TensorFlow 2.0

Quick extra tips #

• Check the requirements.txt file in your OD API directory—it’ll list the exact recommended TensorFlow version and other dependencies for your API release.
• If you’re working from a git clone, run git tag in the OD API folder to see the release tags tied to your current checkout; each tag maps directly to a compatible TensorFlow major/minor version.

内容的提问来源于stack exchange，提问作者ma.mehralian