AI coordinator

【開発環境】Windows10,Python3.6.8
　　　　　　NEC NS150/D

映像からのMask R-CNNを行うために、貴殿サイト
http://ai-coordinator.jp/mask-r-cnn
に掲載されているプログラムを実行しました。
当初いくつかのエラーが出てそれはつぶしたので
ですが、まだ以下のエラーが発生します。

【発生エラー】AttributeError
module ‘coco’ has no attribute ‘CocoConfig’

なぜ’coco’が’CocoConfig’の属性を持たないのか
意味がわかりません。理由はともかく、修正法に
ついてご教示いただけますと幸いです。

ソースを以下に示します。

import os
import sys
import random
import math
import numpy as np
import skimage.io
import matplotlib
import matplotlib.pyplot as plt
#sys.path.insert(0, ‘/path/to/samples/coco’)
#from pycocotools.coco import coco
import pycocotools.coco
import coco
import utils
import mrcnn.model as modellib
import cv2
import colorsys

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’]

#cap = cv2.VideoCapture(“1.mp4″)
cap = cv2.VideoCapture(0)

height = 720
width = 1280

def random_colors(N, bright=True):
brightness = 1.0 if bright else 0.7
hsv = [(i / N, 1, brightness) for i in range(N)]
colors = list(map(lambda c: colorsys.hsv_to_rgb(*c), hsv))
random.shuffle(colors)
return colors

def apply_mask(image, mask, color, alpha=0.5):
for c in range(3):
image[:, :, c] = np.where(mask == 1,
image[:, :, c] *
(1 – alpha) + alpha * color[c] * 255,
image[:, :, c])
return image

def display_instances(image, boxes, masks, class_ids, class_names,
scores=None, title=””,
figsize=(16, 16), ax=None):
N = boxes.shape[0]
if not N:
print(“\n*** No instances to display *** \n”)
else:
assert boxes.shape[0] == masks.shape[-1] == class_ids.shape[0]

colors = random_colors(N)

masked_image = image.copy()
for i in range(N):
color = colors[i]

# Bounding box
if not np.any(boxes[i]):
continue
y1, x1, y2, x2 = boxes[i]
camera_color = (color[0] * 255, color[1] * 255, color[2] * 255)
cv2.rectangle(masked_image, (x1, y1), (x2, y2), camera_color , 1)

# Label
class_id = class_ids[i]
score = scores[i] if scores is not None else None
label = class_names[class_id]
x = random.randint(x1, (x1 + x2) // 2)
caption = “{} {:.3f}”.format(label, score) if score else label
camera_font = cv2.FONT_HERSHEY_PLAIN
cv2.putText(masked_image,caption,(x1, y1),camera_font, 1, camera_color)

# Mask
mask = masks[:, :, i]
masked_image = apply_mask(masked_image, mask, color)

return masked_image.astype(np.uint8)

def main():
while(True):

# 動画ストリームからフレームを取得
ret, frame = cap.read()

# カメラ画像をリサイズ
image_cv2 = cv2.resize(frame,(width,height))

results = model.detect([image_cv2])

r = results[0]
camera = display_instances(image_cv2, r[‘rois’], r[‘masks’], r[‘class_ids’],
class_names, r[‘scores’])

cv2.imshow(“camera window”, camera)

# escを押したら終了。
if cv2.waitKey(1) == 27:
break

#終了
cap.release()
cv2.destroyAllWindows()

if __name__ == ‘__main__’:
main()

お手数ですが、宜しくお願い致します。
【引用】http://ai-coordinator.jp/mask-r-cnn