tensorflow / tensorflow/models

Lack of documentation lstm_object_detection

Open
#6,027 17 comments 24 reactions 1 assignee View on GitHub

@yongzhe2160 is already working on this.

Since Jul 15, 2020.

models:research stat:awaiting model gardener type:docs
Dominant language
Python
Stars
77.7k
Forks
44.8k
PR merge metrics
No merged PRs in 30d

Description

System information
  • What is the top-level directory of the model you are using: lstm_object_detection
  • Have I written custom code (as opposed to using a stock example script provided in TensorFlow): no
  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18.04
  • TensorFlow installed from (source or binary): source
  • TensorFlow version (use command below): 1.12.0
  • Bazel version (if compiling from source):
  • CUDA/cuDNN version: 9.0
  • GPU model and memory:
  • Exact command to reproduce:
Describe the problem

This is NOT a bug issue, but a request for more documentation/information about the training process of the lstm_object_detection. I tired to find help on Stackoverflow, but now I hope for a response of the authors. It would help a lot if there would be a documentation on how to train or in particular on how to prepare the training data. A sample create_record.py file like the ones in object_detection would be great.

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

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.