import?os
import?sys
import?random
import?math
import?numpy?as?np
import?skimage.io
import?matplotlib
import?matplotlib.pyplot?as?plt

import?coco
import?utils
import?model?as?modellib

print?（‘Initializing?Mask?RCNN?network...‘）
#?Root?directory?of?the?project
ROOT_DIR?=?os.getcwd（）
ROOT_DIR?=?“./src/python“
print（ROOT_DIR）

#?Directory?to?save?logs?and?trained?model
MODEL_DIR?=?os.path.join（ROOT_DIR?“l(fā)ogs“）

#?Path?to?trained?weights?file
COCO_MODEL_PATH?=?os.path.join（ROOT_DIR?“mask_rcnn_coco.h5“）

#?Set?batch?size?to?1?since?we‘ll?be?running?inference?on
#?one?image?at?a?time.?Batch?size?=?GPU_COUNT?*?IMAGES_PER_GPU
class?InferenceConfig（coco.CocoConfig）:
????GPU_COUNT?=?1
????IMAGES_PER_GPU?=?1

config?=?InferenceConfig（）
config.display（）


#?Create?model?object?in?inference?mode.
model?=?modellib.MaskRCNN（mode=“inference“?model_dir=MODEL_DIR?config=config）

#?Load?weights?trained?on?MS-COCO
model.load_weights（COCO_MODEL_PATH?by_name=True）
class_names?=?[‘BG‘?‘person‘?‘bicycle‘?‘car‘?‘motorcycle‘?‘a(chǎn)irplane‘
???????‘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‘?‘a(chǎn)pple‘
???????‘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‘]
print?（‘Initialated?Mask?RCNN?network...‘）

def?GetDynSeg（imageimage2=None）:
????print（‘PruebaPython‘）
????h?=?image.shape[0]
????w?=?image.shape[1]
????if?len（image.shape）?==?2:
????????im?=?np.zeros（（hw3））
????????im[::0]=image
????????im[::1]=image
????????im[::2]=image
????????image?=?im
????#if?image2?is?not?None:
????#???args+=[image2]
????#?Run?detection
????results?=?model.detect（[image]?verbose=0）
????#?Visualize?results
????r?=?results[0]
????i?=?0
????mask?=?np.zeros（（hw））
????for?roi?in?r[‘rois‘]:
????????if?class_names[r[‘class_ids‘][i]]?==?‘person‘:
????????????image_m?=?r[‘masks‘][::i]
????????????mask[image_m?==?1]?=?1.
????????if?class_names[r[‘class_ids‘][i]]?==?‘bicycle‘:
????????????image_m?=?r[‘masks‘][::i]
????????????mask[image_m?==?1]?=?1.
????????if?class_names[r[‘class_ids‘][i]]?==?‘car‘:
????????????image_m?=?r[‘masks‘][::i]
????????????mask[image_m?==?1]?=?1.
????????if?class_names[r[‘class_ids‘][i]]?==?‘motorcycle‘:
????????????image_m?=?r[‘masks‘][::i]
????????????mask[image_m?==?1]?=?1.
????