tensorflow / tensorflow/models

Error installing TensorFlow Object Detection API in Google Colab

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@laxmareddyp is already working on this.

Since Sep 12, 2023.

models:research type:bug
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Python
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Description

Prerequisites

Please answer the following questions for yourself before submitting an issue.

  • I am using the latest TensorFlow Model Garden release and TensorFlow 2.
  • I am reporting the issue to the correct repository. (Model Garden official or research directory)
  • I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/blob/master/research/object_detection/packages/tf2/setup.py

2. Describe the bug

I am experiencing an issue when trying to install the TensorFlow Object Detection API on TensorFlow 2. I am following the installation steps as mentioned in the documentation, but I encounter the following error:

%cd models/research

!protoc object_detection/protos/*.proto --python_out=.

!cp object_detection/packages/tf2/setup.py .
!python -m pip install .

The specific error message I am receiving is:

Collecting pyyaml<5.4.0,>=5.1 (from tf-models-official>=2.5.1->object-detection==0.1)
Using cached PyYAML-5.3.1.tar.gz (269 kB)
error: subprocess-exited-with-error

× python setup.py egg_info 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 (setup.py) ... 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.

3. Steps to reproduce

  • Clone the TensorFlow Object Detection API repository.
  • Navigate to the models/research directory.
  • Execute the provided commands for installation.
  • Observe the error mentioned above.

4. Expected behavior

I expected the installation to complete successfully without any errors.

5. System information

  • OS Platform and Distribution (Google Colab):
  • Mobile device name if the issue happens on a mobile device: N/A
  • TensorFlow installed from (source or binary): Use Google Colab environment
  • TensorFlow version (use command below): 2.13.0 (as it's in a Google Colab environment)
  • Python version: 3.10.12
  • Bazel version (if compiling from source): N/A
  • GCC/Compiler version (if compiling from source): N/A
  • CUDA/cuDNN version: N/A
  • GPU model and memory: Tesla T4, 13gb ram (as it's in a Google Colab environment)

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

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