Visualize COCO labels

tools/analysis_tools/browse_coco_json.py is a script that can visualization to display the COCO label in the picture.

python tools/analysis_tools/browse_coco_json.py [--data-root ${DATA_ROOT}] \
                                                [--img-dir ${IMG_DIR}] \
                                                [--ann-file ${ANN_FILE}] \
                                                [--wait-time ${WAIT_TIME}] \
                                                [--disp-all] [--category-names CATEGORY_NAMES [CATEGORY_NAMES ...]] \
                                                [--shuffle]

If images and labels are in the same folder, you can specify --data-root to the folder, and then --img-dir and --ann-file to specify the relative path of the folder. The code will be automatically spliced. If the image and label files are not in the same folder, you do not need to specify --data-root, but directly specify --img-dir and --ann-file of the absolute path.

E.g:

1. Visualize all categories of COCO and display all types of annotations such as bbox and mask:

python tools/analysis_tools/browse_coco_json.py --data-root './data/coco' \
                                                --img-dir 'train2017' \
                                                --ann-file 'annotations/instances_train2017.json' \
                                                --disp-all

If images and labels are not in the same folder, you can use a absolutely path:

python tools/analysis_tools/browse_coco_json.py --img-dir '/dataset/image/coco/train2017' \
                                                --ann-file '/label/instances_train2017.json' \
                                                --disp-all

2. Visualize all categories of COCO, and display only the bbox type labels, and shuffle the image to show:

python tools/analysis_tools/browse_coco_json.py --data-root './data/coco' \
                                                --img-dir 'train2017' \
                                                --ann-file 'annotations/instances_train2017.json' \
                                                --shuffle

3. Only visualize the bicycle and person categories of COCO and only the bbox type labels are displayed:

python tools/analysis_tools/browse_coco_json.py --data-root './data/coco' \
                                                --img-dir 'train2017' \
                                                --ann-file 'annotations/instances_train2017.json' \
                                                --category-names 'bicycle' 'person'

4. Visualize all categories of COCO, and display all types of label such as bbox, mask, and shuffle the image to show:

python tools/analysis_tools/browse_coco_json.py --data-root './data/coco' \
                                                --img-dir 'train2017' \
                                                --ann-file 'annotations/instances_train2017.json' \
                                                --disp-all \
                                                --shuffle