tensorflow / tensorflow/models
TF 2.0 already released, but the object detection models for training and detection is not updated yet?
@pkulzc is already working on this.
Since Jun 21, 2020.
- 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: Object Detection
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10 64Bit
- TensorFlow installed from (source or binary): 2.0
- TensorFlow version (use command below):
- Bazel version (if compiling from source):
- CUDA/cuDNN version:10.0/7.6.4
- GPU model and memory: GTX 1080 8GB
- Exact command to reproduce:
Describe the problem
I want to ask that when the update will come for the object detection model, the present models (pre-trained models) are quite old and outdated, and almost all of them are more than one year which is not updated.
Now I want to use TF 2.0 to train my own dataset by using one of the pre-trained models of the object detection model, but I don't want to use these old pre-trained models.
But when will the object detection model release the new pre-trained models for training and datasets, to get the advantage of the new TF release and API?
And if it is possible, then it will good to clean up the models for new libraries and codes. And delete all the deprecated and old models.
Thanks to the TF Team!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.