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Faster-RCNN-TensorFlow-Python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7).

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Created 2017-06-09 · Updated 2026-07-01 · #15807 today
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tf-faster-rcnn

Tensorflow Faster R-CNN for Windows and Linux by using Python 3

This is the branch to compile Faster R-CNN on Windows and Linux. It is heavily inspired by the great work done here and here.

Currently, this repository supports Python 3.5, 3.6 and 3.7. Thanks to @morpheusthewhite

How To Use This Branch

  1. Install tensorflow, preferably GPU version. Follow instructions. If you do not install GPU version, you need to comment out all the GPU calls inside code and replace them with relavent CPU ones.

  2. Checkout this branch

  3. Install python packages (cython, python-opencv, easydict) by running
    pip install -r requirements.txt
    (if you are using an environment manager system such as conda you should follow its instruction)

  4. Go to ./data/coco/PythonAPI
    Run python setup.py build_ext --inplace
    Run python setup.py build_ext install
    Go to ./lib/utils and run python setup.py build_ext --inplace

  5. Follow these instructions to download PyCoco database. I would be glad if you can contribute with a batch script to automatically download and fetch. The final structure has to look like
    data\VOCDevkit2007\VOC2007

  6. Download pre-trained VGG16 from here and place it as data\imagenet_weights\vgg16.ckpt.
    For rest of the models, please check here

  7. Run train.py

Notify me if there is any issue found.

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