From 765b8f3a3bae4c8ae99c882fdaccfd806c47d25d Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Wed, 1 Apr 2020 12:12:14 -0700 Subject: [PATCH] documentation update --- README.md | 18 +++++++----------- 1 file changed, 7 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 2444700d..047536f8 100755 --- a/README.md +++ b/README.md @@ -37,25 +37,21 @@ All dependencies are included in the associated docker images. Docker requiremen # Tutorials -* [GCP Quickstart](https://github.com/ultralytics/yolov3/wiki/GCP-Quickstart) -* [Transfer Learning](https://github.com/ultralytics/yolov3/wiki/Example:-Transfer-Learning) -* [Train Single Image](https://github.com/ultralytics/yolov3/wiki/Example:-Train-Single-Image) +* [Train Custom Data](https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data) ** << recommended** * [Train Single Class](https://github.com/ultralytics/yolov3/wiki/Example:-Train-Single-Class) -* [Train Custom Data](https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data) - -# Jupyter Notebook - -Our Jupyter [notebook](https://colab.research.google.com/github/ultralytics/yolov3/blob/master/examples.ipynb) provides quick training, inference and testing examples. +* [Google Colab Notebook](https://colab.research.google.com/drive/1G8T-VFxQkjDe4idzN8F-hbIBqkkkQnxw) with quick training, inference and testing examples +* [GCP Quickstart](https://github.com/ultralytics/yolov3/wiki/GCP-Quickstart) +* [Docker Quickstart Guide](https://github.com/ultralytics/yolov3/wiki/Docker-Quickstart) # Training -**Start Training:** `python3 train.py` to begin training after downloading COCO data with `data/get_coco_dataset.sh`. Each epoch trains on 117,263 images from the train and validate COCO sets, and tests on 5000 images from the COCO validate set. +**Start Training:** `python3 train.py` to begin training after downloading COCO data with `data/get_coco2017.sh`. Each epoch trains on 117,263 images from the train and validate COCO sets, and tests on 5000 images from the COCO validate set. **Resume Training:** `python3 train.py --resume` to resume training from `weights/last.pt`. -**Plot Training:** `from utils import utils; utils.plot_results()` plots training results from `coco_16img.data`, `coco_64img.data`, 2 example datasets available in the `data/` folder, which train and test on the first 16 and 64 images of the COCO2014-trainval dataset. +**Plot Training:** `from utils import utils; utils.plot_results()` - + ## Image Augmentation