tensorflow / tensorflow/models

Dealing with deleted research folder and Tensorflow Object Detection API

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models:research:odapi type:bug
Dominant language
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 been filed already.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/official/...

2. Describe the bug

When using an older version of Tensorflow (v2.5.0), the research folder does not exist.
I don't understand how the instructions on this page https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html#tensorflow-installation, which were designed for use with TF 2.5 ever worked since the research folder has been deleted for several versions before this.

3. Steps to reproduce

git clone -b v2.5.0 https://github.com/tensorflow/models.git

4. Expected behavior

Expected folder structure as specified precisely in the latest official documentation for the object detection API
https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html#tensorflow-installation

TensorFlow/
└─ models/
   ├─ community/
   ├─ official/
   ├─ orbit/
   ├─ research/
   └── ...

However the ACTUAL folder structure is missing the research folder.

5. Additional context

N/A

6. System information

  • OS Platform and Distribution = Linux
  • TensorFlow installed from (source or binary): N/A
  • TensorFlow version (use command below): 2.5
  • Python version: 3.x
  • 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: N/A

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First steps

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  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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