jsbroks/imantics

Convert an rgb mask image to coco json format

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I annotated images using PixelAnnotationTool provided here: https://github.com/abreheret/PixelAnnotationTool and using the provided dictionary:
{ "labels": { "unlabeled": { "categorie": "void", "color": [ 0, 0, 0 ], "id": 0, "id_categorie": 0, "name": "unlabeled" }, "bicycle_motorcycle": { "categorie": "bicycle_motorcycle", "color": [ 119, 11, 32 ], "id": 1, "id_categorie": 1, "name": "bicycle_motorcycle" }, "bus": { "categorie": "bus", "color": [ 102, 51, 0 ], "id": 2, "id_categorie": 2, "name": "bus" }, "truck": { "categorie": "truck", "color": [ 0, 0, 70 ], "id": 3, "id_categorie": 3, "name": "truck" }, "pedestrian": { "categorie": "pedestrian", "color": [ 0, 2, 180 ], "id": 4, "id_categorie": 4, "name": "pedestrian" }, "car": { "categorie": "car", "color": [ 0, 180, 0 ], "id": 5, "id_categorie": 5, "name": "car" }, "out_of_roi": { "categorie": "out_of_roi", "color": [ 0, 0, 0 ], "id": 6, "id_categorie": 6, "name": "out_of_roi" } } }

I want to convert these RGB masks into json polygon format so that I can use them in Mask R-CNN: I posted this question in stackoverflow here: https://stackoverflow.com/questions/54802089/convert-an-rgb-mask-image-to-coco-json-polygon-format

Here's a python function that will take in a mask Image object and return a dictionary of sub-masks, keyed by RGB color.

from PIL import Image # (pip install Pillow)

def create_sub_masks(mask_image):
    width, height = mask_image.size

    # Initialize a dictionary of sub-masks indexed by RGB colors
    sub_masks = {}
    for x in range(width):
        for y in range(height):
            # Get the RGB values of the pixel
            pixel = mask_image.getpixel((x,y))[:3]

            # If the pixel is not black...
            if pixel != (0, 0, 0):
                # Check to see if we've created a sub-mask...
                pixel_str = str(pixel)
                sub_mask = sub_masks.get(pixel_str)
                if sub_mask is None:
                   # Create a sub-mask (one bit per pixel) and add to the dictionary
                    # Note: we add 1 pixel of padding in each direction
                    # because the contours module doesn't handle cases
                    # where pixels bleed to the edge of the image
                    sub_masks[pixel_str] = Image.new('1', (width+2, height+2))

                # Set the pixel value to 1 (default is 0), accounting for padding
                sub_masks[pixel_str].putpixel((x+1, y+1), 1)

    return sub_masks

@jsbroks Thanks a lot for the reponse, How to convert these mask to json coco annotation?

@bilel-bj please read the docs.

Hey! @jsbroks can you give a quick code or something regarding the same. Also @bilel-bj if you have done it please tell me also! Thanks