ModuleNotFoundError: No module named 'coco'

[vismayaps]

Hi, I am having trouble in running the code 'visualize_cv.py", its giving "No module named 'coco'" error every time. coco tools are properly installed and the "demo.ipynb" is working all fine. I need to run Mask-RCNN on videos and web cams. Any help would be appreciated !! Thanks.

[markjay4k]

I believe coco is optional but make sure to have visual c++ build tools installed and make sure pycocotools is installed as shown in the videos.

Also, make sure to put the visualize_cv.py file in the top level mask RCNN directory

[arialblack14]

Hello @vismayaps , did you figure this out? I am running into the same issue.

@markjay4k Great series btw :+1:

Edit: I solved this by adding the path to the samples/coco directory:

if __name__ == '__main__':
    """
        test everything
    """
    import os
    import sys
    sys.path.insert(0, '/path/to/samples/coco')
    import coco
    import utils

[YongLAGCC]

Did anyone have an solution, please?

[arialblack14]

Hey @YongLAGCC , did you try mine and it did not work?

[pkarpi]

Hello @arialblack14 , in what file did you put this code?

[arialblack14]

Hey @pekezu, looking at my repo it's in mrcnn/visualize_cv.py

Here is the whole file.

import cv2
import numpy as np

def random_colors(N):
    np.random.seed(1)
    colors = [tuple(255 * np.random.rand(3)) for _ in range(N)]
    return colors

def apply_mask(image, mask, color, alpha=0.5):
    """apply mask to image"""
    for n, c in enumerate(color):
        image[:, :, n] = np.where(
            mask == 1,
            image[:, :, n] * (1 - alpha) + alpha * c,
            image[:, :, n]
        )
    return image

def display_instances(image, boxes, masks, ids, names, scores):
    """
        take the image and results and apply the mask, box, and Label
    """
    n_instances = boxes.shape[0]
    colors = random_colors(n_instances)

    if not n_instances:
        print('NO INSTANCES TO DISPLAY')
    else:
        assert boxes.shape[0] == masks.shape[-1] == ids.shape[0]

    for i, color in enumerate(colors):
        if not np.any(boxes[i]):
            continue

        y1, x1, y2, x2 = boxes[i]
        label = names[ids[i]]
        score = scores[i] if scores is not None else None
        caption = '{} {:.2f}'.format(label, score) if score else label
        mask = masks[:, :, i]

        image = apply_mask(image, mask, color)
        # This adds the bounding box!! - NOTE
        image = cv2.rectangle(image, (x1, y1), (x2, y2), color, 2)
        image = cv2.putText(
            image, caption, (x1, y1), cv2.FONT_HERSHEY_COMPLEX, 0.7, color, 2
        )

    return image

if __name__ == '__main__':
    """
        test everything
    """
    import os
    import sys
    sys.path.insert(0, '/home/YOUR_PATH/Mask_RCNN/samples/coco')
    import coco
    import utils
    import model as modellib

    ROOT_DIR = os.getcwd()
    MODEL_DIR = os.path.join(ROOT_DIR, "logs")
    COCO_MODEL_PATH = os.path.join(ROOT_DIR, "mask_rcnn_coco.h5")
    if not os.path.exists(COCO_MODEL_PATH):
        utils.download_trained_weights(COCO_MODEL_PATH)

    class InferenceConfig(coco.CocoConfig):
        GPU_COUNT = 1
        IMAGES_PER_GPU = 1

    config = InferenceConfig()
    config.display()

    model = modellib.MaskRCNN(
        mode="inference", model_dir=MODEL_DIR, config=config
    )
    model.load_weights(COCO_MODEL_PATH, by_name=True)
    class_names = [
        'BG', 'person', 'bicycle', 'car', 'motorcycle', 'airplane',
        'bus', 'train', 'truck', 'boat', 'traffic light',
        'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird',
        'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear',
        'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie',
        'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball',
        'kite', 'baseball bat', 'baseball glove', 'skateboard',
        'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup',
        'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
        'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza',
        'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed',
        'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote',
        'keyboard', 'cell phone', 'microwave', 'oven', 'toaster',
        'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors',
        'teddy bear', 'hair drier', 'toothbrush'
    ]

    capture = cv2.VideoCapture(0)

    # these 2 lines can be removed if you dont have a 1080p camera.
    capture.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
    capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)

    while True:
        ret, frame = capture.read()
        results = model.detect([frame], verbose=0)
        r = results[0]
        frame = display_instances(
            frame, r['rois'], r['masks'], r['class_ids'], class_names, r['scores']
        )
        cv2.imshow('frame', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    capture.release()
    cv2.destroyAllWindows()