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a5c3da1235
* Replaced wget by curl * Moved CI stuff into Dockerfile.ci * Use docker-compose to run commnands inside docker (need environment variables) * Added patool again (to support different archive formats) * Roll back tensorflow version: 1.15 -> 1.13.1 Fixed https://github.com/opencv/cvat/issues/982 Fixed https://github.com/opencv/cvat/issues/1017 * datumaro install tensorflow 2.x now. It breaks automatic annotation using TF. * Follow redirects in curl (auto_segmentation) |
6 years ago | |
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| .. | ||
| README.md | 7 years ago | |
| docker-compose.tf_annotation.yml | 7 years ago | |
| install.sh | 6 years ago | |
README.md
Tensorflow Object Detector
What is it?
- This application allows you automatically to annotate many various objects on images.
- It uses Faster RCNN Inception Resnet v2 Atrous Coco Model from tensorflow detection model zoo
- It can work on CPU (with Tensorflow or OpenVINO) or GPU (with Tensorflow GPU).
- It supports next classes (just specify them in "labels" row):
'surfboard', 'car', 'skateboard', 'boat', 'clock',
'cat', 'cow', 'knife', 'apple', 'cup', 'tv',
'baseball_bat', 'book', 'suitcase', 'tennis_racket',
'stop_sign', 'couch', 'cell_phone', 'keyboard',
'cake', 'tie', 'frisbee', 'truck', 'fire_hydrant',
'snowboard', 'bed', 'vase', 'teddy_bear',
'toaster', 'wine_glass', 'traffic_light',
'broccoli', 'backpack', 'carrot', 'potted_plant',
'donut', 'umbrella', 'parking_meter', 'bottle',
'sandwich', 'motorcycle', 'bear', 'banana',
'person', 'scissors', 'elephant', 'dining_table',
'toothbrush', 'toilet', 'skis', 'bowl', 'sheep',
'refrigerator', 'oven', 'microwave', 'train',
'orange', 'mouse', 'laptop', 'bench', 'bicycle',
'fork', 'kite', 'zebra', 'baseball_glove', 'bus',
'spoon', 'horse', 'handbag', 'pizza', 'sports_ball',
'airplane', 'hair_drier', 'hot_dog', 'remote',
'sink', 'dog', 'bird', 'giraffe', 'chair'.
- Component adds "Run TF Annotation" button into dashboard.
Build docker image
# From project root directory
docker-compose -f docker-compose.yml -f components/tf_annotation/docker-compose.tf_annotation.yml build
Run docker container
# From project root directory
docker-compose -f docker-compose.yml -f components/tf_annotation/docker-compose.tf_annotation.yml up -d