Image Annotation Tools

Features

1. Double Check IoU Annotation Tool

# how to run it

e.g.
    
coco_json1_file_path = 'J:\\workspace\\xxxxxx\\dataset1-annotator1.json'
coco_json2_file_path = 'J:\\workspace\\xxxxxx\\dataset1-annotator2.json'

double_check_two_cocos(coco_json1_file_path, coco_json2_file_path, os.path.join(os.path.abspath(os.curdir), "results"))

<!--Groups represent the two annotators.-->
<!--Results contains two group folders and one conclusion folder.-->
<!--Each group have matched and suspected annotations.-->

<!--Double-check result will save in conclusion folder.-->
<!--when one annotaion is matched with another annotation, the matched annotation with smaller area box will be saved in matched conclusion folder.-->
<!--The final conclusion merge all matched annotations and suspected annotations with different color.-->
<!--# color green represent matched. #1A971E-->
<!--# color red represent not matched. #C9151A-->

<!--Results is a batch of coco json files of one labeled image. For convenient import, conclusion result's metadata is based on group1 image, including: image id/file_name/file_path, and based on group1's category id.-->

# result file structure:

results/
    conclusion/
        all/
            image1.json  # merged all matched and suspected annotations
            image2.json
        matched/
            image1.json
            image2.json
        suspected/
            image1.json
            image2.json
    group1/
        matched/
            image1.json
            image2.json
        suspected/
            image1.json
            image2.json
    group2/
        matched/
            image1.json
            image2.json
        suspected/
            image1.json
            image2.json

2. COCO Json Merge / Split Tool

# Split coco json
# how to run it
split_coco(input_file_path, output_dir_path)

# Merge coco json
# how to run it

<!--Merge the files in input dir, each file is a coco json file for one image.-->
input_dir_path = "J:\\workspace\\xxxxxx\\splited_double_check"

<!--Merge coco json result will be saved in this file-->
output_file = "J:\\workspace\\xxxxxx\\merged_double_check\\merged_double_check.json"

<!--The output file's image id and category id will be the same as the metadata file, mapping the same image filename and category name.-->
coco_metadata_json_file = "J:\\workspace\\xxxxxx\\dataset1-metadata.json"

<!--Optional Param. If you use the original dataset with same image id, you can set this file path to "".-->
<!--If you want to import the result to another dataset, you need to remap the image id, you can use this file path.-->
<!--This image id mapping will reset the image id with the same image file_name. is a image json array in coco image rest api format.-->
<!-- file content e.g.
        [
            {
            "id": 2030,
            "file_name": "Bthe_01.jpg",
            "annotated": false,
            "annotating": [],
            "num_annotations": 0
            },
            ...
        ]
-->
image_id_remapping_file = "J:\\workspace\\xxxxxx\\double_check_dataset_image_mapping.json"

merge_coco(input_dir_path, output_file, coco_metadata_json_file, image_id_remapping_file)