tensorflow / tensorflow/models

why run the model_main.py it's so slow?(use faster-rcnn resnet101.coco)

Open
#6,227 7 comments 0 reactions 3 assignees View on GitHub

@pkulzc is already working on this.

Since Jul 1, 2020.

models:research:odapi type:support
Dominant language
Python
Stars
77.7k
Forks
44.8k
PR merge metrics
No merged PRs in 30d

Description

I'm using the object detecton api and use the model_main.py to training a detection model,
I use the faster-rcnn resnet101.coco and batch size =1,but it's so slow?

what can I do to let it to be faster??

main


System information
  • What is the top-level directory of the model you are using:
    model/research
  • 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):
    win10
  • TensorFlow installed from (source or binary):
    pip
  • TensorFlow version (use command below):
    1.9.0
  • Bazel version (if compiling from source):
    don't know
  • CUDA/cuDNN version:
    cuda:9 , cuDNN:7
  • GPU model and memory:
    ASUS ROG Strix GeForce® GTX 1080
  • Exact command to reproduce:
    don't

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.