From 82a33c3c009c49046deb12f42d12a1c4cf5d9f0f Mon Sep 17 00:00:00 2001 From: Zhi Tian Date: Mon, 5 Aug 2019 20:08:58 +0930 Subject: [PATCH] update README.md --- README.md | 10 +++++++++- setup.py | 2 +- 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6115102..9c0b35b 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ The full paper is available at: [https://arxiv.org/abs/1904.01355](https://arxiv - **Totally anchor-free:** FCOS completely avoids the complicated computation related to anchor boxes and all hyper-parameters of anchor boxes. - **Memory-efficient:** FCOS uses 2x less training memory footprint than its anchor-based counterpart RetinaNet. - **Better performance:** The very simple detector achieves better performance (37.1 vs. 36.8) than Faster R-CNN. -- **Faster training and inference:** With the same hardwares, FCOS also requires less training hours (6.5h vs. 8.8h) and faster inference speed (71ms vs. 126 ms per im) than Faster R-CNN. +- **Faster training:** With the same hardwares, FCOS also requires less training hours (6.5h vs. 8.8h) than Faster R-CNN. - **State-of-the-art performance:** Without bells and whistles, FCOS achieves state-of-the-art performances. It achieves **41.5%** (ResNet-101-FPN) and **43.2%** (ResNeXt-64x4d-101) in AP on coco test-dev. @@ -35,7 +35,15 @@ We use 8 Nvidia V100 GPUs. \ But 4 1080Ti GPUs can also train a fully-fledged ResNet-50-FPN based FCOS since FCOS is memory-efficient. ## Installation +#### Testing-only installation +For users who only want to use FCOS as an object detector in their project, they can install it by pip. To do so, run: +``` +pip install torch # install pytorch if you do not have it +pip install fcos +``` +Please check out [here](fcos/__main__.py) for the usage. +#### For a complete installation This FCOS implementation is based on [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark). Therefore the installation is the same as original maskrcnn-benchmark. Please check [INSTALL.md](INSTALL.md) for installation instructions. diff --git a/setup.py b/setup.py index d214f1e..0ad2c56 100644 --- a/setup.py +++ b/setup.py @@ -65,7 +65,7 @@ def get_extensions(): setup( name="fcos", - version="0.1.5", + version="0.1.6", author="Zhi Tian", url="https://github.com/tianzhi0549/FCOS", description="FCOS object detector in pytorch", -- GitLab