diff --git a/DOWNLOAD_WEIGHTS.md b/DOWNLOAD_WEIGHTS.md index 7e9ebee..7ecec2f 100644 --- a/DOWNLOAD_WEIGHTS.md +++ b/DOWNLOAD_WEIGHTS.md @@ -1,7 +1,7 @@ ## Instructions to download pretrained neural-network weights. -[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green } -[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue} +[GitHub](https://github.com/adipandas/multi-object-tracker) +[Home](https://adipandas.github.io/multi-object-tracker/) ##### YOLOv3 ``` diff --git a/REFERENCES.md b/REFERENCES.md index 00f9a26..0580491 100644 --- a/REFERENCES.md +++ b/REFERENCES.md @@ -1,9 +1,7 @@ # References and Credits -
- - -
+[GitHub](https://github.com/adipandas/multi-object-tracker) +[Home](https://adipandas.github.io/multi-object-tracker/) This work is based on the following literature: diff --git a/_config.yml b/_config.yml index f9b4428..c577a09 100644 --- a/_config.yml +++ b/_config.yml @@ -1,3 +1,3 @@ title: Multi-object trackers in Python -description: +description: --- theme: jekyll-theme-cayman diff --git a/examples/motmetrics_eval/readme.md b/examples/motmetrics_eval/readme.md index 5bee730..e1bed5d 100644 --- a/examples/motmetrics_eval/readme.md +++ b/examples/motmetrics_eval/readme.md @@ -1,5 +1,8 @@ ### MOT Challenge file format +[GitHub](https://github.com/adipandas/multi-object-tracker) +[Home](https://adipandas.github.io/multi-object-tracker/) + The file format should be the same as the ground truth file, which is a CSV text-file containing one object instance per line. ``` diff --git a/examples/readme.md b/examples/readme.md index 6b63cc5..ad1be72 100644 --- a/examples/readme.md +++ b/examples/readme.md @@ -1,13 +1,10 @@ # multi-object-tracker examples -[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green } -[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue} +[Home](https://adipandas.github.io/multi-object-tracker/) +[GitHub](https://github.com/adipandas/multi-object-tracker) This folder contains various examples. 1. [Example jupyter-notebooks](example_notebooks) 2. [Example scripts](example_scripts) 3. [Evaluations based on py-motmetrics](./motmetrics_eval) - -**SSD-Mobilenet_v2_coco_2018_03_29** will be downloaded for tensorflow. -Other networks can be used as well: Go through `tracking-tensorflow-ssd_mobilenet_v2_coco_2018_03_29.ipynb` for more details.