From 12e5eec2b9025f30093e07dc3bb09ad9e561ab71 Mon Sep 17 00:00:00 2001 From: tribta Date: Sat, 1 Jun 2019 18:51:58 +0100 Subject: [PATCH] adding more detail to README --- .gitignore | 2 +- README.md | 32 +++++++++++++++++--------------- 2 files changed, 18 insertions(+), 16 deletions(-) diff --git a/.gitignore b/.gitignore index aa2c672..424a237 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,4 @@ venv/ main/input/people_walking_mp4 main/output -object_detection/models \ No newline at end of file +object_detection/models/* diff --git a/README.md b/README.md index e236411..bce516c 100644 --- a/README.md +++ b/README.md @@ -1,21 +1,6 @@ # OpenLabeling: open-source image and video labeler -# New features: -- Auto labeling by using combination between Tracker and Deep Learning Object Detection Model - -# How to use -- Download one or some deep learning models from https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md - and put it into `object_detection` directory. The outline of `object_detection` looks like that: - + `tf_object_detection.py` - + `utils.py` - + `ssdlite_mobilenet_v2_coco_2018_05_09` . Download by clicking this link http://download.tensorflow.org/models/object_detection/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz - + Or `mask_rcnn_inception_v2_coco_2018_01_28`. Download by clicking this link http://download.tensorflow.org/models/object_detection/mask_rcnn_inception_v2_coco_2018_01_28.tar.gz - - **Note**: Default model used in `main_auto.py` is `mask_rcnn_inception_v2_coco_2018_01_28`. We can - set `graph_model_path` in file `main_auto.py` to change the pretrain model -- Using `main_auto.py` to automatically label data first - # Plan - Combine with state of the art deep learning tracker @@ -31,6 +16,7 @@ Image labeling in multiple annotation formats: ## Latest Features +- Jun 2019: Deep Learning Object Detection Model - May 2019: [ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking - Jan 2019: easy and quick bounding-boxe's resizing! - Jan 2019: video object tracking with OpenCV trackers! @@ -93,6 +79,22 @@ Step by step: 5. You can find the annotations in the folder **output/** +#### How to use the deep learning feature + +- Download one or some deep learning models from https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md + and put it into `object_detection/models` directory (you need to create the `models` folder by yourself). The outline of `object_detection` looks like that: + + `tf_object_detection.py` + + `utils.py` + + `models/ssdlite_mobilenet_v2_coco_2018_05_09` + +Download the pre-trained model by clicking this link http://download.tensorflow.org/models/object_detection/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz and put it into `object_detection/models`. Create the `models` folder if necessary. Make sure to extract the model. + + **Note**: Default model used in `main_auto.py` is `ssdlite_mobilenet_v2_coco_2018_05_09`. We can + set `graph_model_path` in file `main_auto.py` to change the pretrain model +- Using `main_auto.py` to automatically label data first + + TODO: explain how the user can + ### GUI usage Keyboard, press: