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Remove check_requirements(('tensorflow>=2.4.1',)) #5476

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merged 1 commit into from
Nov 3, 2021

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@glenn-jocher glenn-jocher commented Nov 3, 2021

check_requirements() is unreliable for large packages like torch and tensorflow that may have multiple installation routes (i.e. conda, pip, tensorflow-cpu, etc.)

🛠️ PR Summary

Made with ❤️ by Ultralytics Actions

🌟 Summary

Improved model inference support in detect.py.

📊 Key Changes

  • Removed the TensorFlow version check requirement in the detection script.

🎯 Purpose & Impact

  • 🔨 Simplify the code by eliminating unnecessary TensorFlow version checks.
  • 🚀 Potentially reduce import times and streamline the running process for TensorFlow users.
  • 🤝 Enhances user experience by removing a step in the setup process for running detections with TensorFlow models.

`check_requirements()` is unreliable for large packages like torch and tensorflow that may have multiple installation routes (i.e. conda, pip, tensorflow-cpu, etc.)
@glenn-jocher glenn-jocher merged commit 0eb37ad into master Nov 3, 2021
@glenn-jocher glenn-jocher deleted the fix/detect_tf_check branch November 3, 2021 13:51
BjarneKuehl pushed a commit to fhkiel-mlaip/yolov5 that referenced this pull request Aug 26, 2022
`check_requirements()` is unreliable for large packages like torch and tensorflow that may have multiple installation routes (i.e. conda, pip, tensorflow-cpu, etc.)
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requirements: tensorflow>=2.4.1 not found and is required by YOLOv5, attempting auto-update...
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