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Download pretrained models

MODEL_NAME = 'ssd_mobilenet_v1_coco_2017_11_17' MODEL_FILE = MODEL_NAME + '.tar.gz' DOWNLOAD_BASE = 'http:https://download.tensorflow.org/models/object_detection/'

Path to frozen detection graph. This is the actual model that is used for the object detection.

PATH_TO_CKPT = MODEL_NAME + '/frozen_inference_graph.pb'

List of the strings that is used to add correct label for each box.

PATH_TO_LABELS = os.path.join('data', 'mscoco_label_map.pbtxt')

http:https://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz http:https://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17/data/mscoco_label_map.pbtxt

Coco dataset cateagories that are relevant:

apple banana sandwich bottle cup fork spoon knife wine glass cell phone book clock keyboard laptop mouse scissors backpack handbag chair couch dining table sink potted plant car dog donut vase remote tv

Quickdraw relevant objects

apple banana sandwich wine bottle coffee cup fork spoon knife wine glass cell phone book clock keyboard laptop mouse scissors backpack purse chair couch table sink house plant car dog donut vase remote control tv

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Control a cartoon version of your face with a webcam.

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