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function.yaml
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function.yaml
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metadata:
name: tf-matterport-mask-rcnn
namespace: cvat
annotations:
name: Mask RCNN via Tensorflow
type: detector
framework: tensorflow
spec: |
[
{ "id": 0, "name": "BG", "type": "mask" },
{ "id": 1, "name": "person", "type": "mask" },
{ "id": 2, "name": "bicycle", "type": "mask" },
{ "id": 3, "name": "car", "type": "mask" },
{ "id": 4, "name": "motorcycle", "type": "mask" },
{ "id": 5, "name": "airplane", "type": "mask" },
{ "id": 6, "name": "bus", "type": "mask" },
{ "id": 7, "name": "train", "type": "mask" },
{ "id": 8, "name": "truck", "type": "mask" },
{ "id": 9, "name": "boat", "type": "mask" },
{ "id": 10, "name": "traffic_light", "type": "mask" },
{ "id": 11, "name": "fire_hydrant", "type": "mask" },
{ "id": 12, "name": "stop_sign", "type": "mask" },
{ "id": 13, "name": "parking_meter", "type": "mask" },
{ "id": 14, "name": "bench", "type": "mask" },
{ "id": 15, "name": "bird", "type": "mask" },
{ "id": 16, "name": "cat", "type": "mask" },
{ "id": 17, "name": "dog", "type": "mask" },
{ "id": 18, "name": "horse", "type": "mask" },
{ "id": 19, "name": "sheep", "type": "mask" },
{ "id": 20, "name": "cow", "type": "mask" },
{ "id": 21, "name": "elephant", "type": "mask" },
{ "id": 22, "name": "bear", "type": "mask" },
{ "id": 23, "name": "zebra", "type": "mask" },
{ "id": 24, "name": "giraffe", "type": "mask" },
{ "id": 25, "name": "backpack", "type": "mask" },
{ "id": 26, "name": "umbrella", "type": "mask" },
{ "id": 27, "name": "handbag", "type": "mask" },
{ "id": 28, "name": "tie", "type": "mask" },
{ "id": 29, "name": "suitcase", "type": "mask" },
{ "id": 30, "name": "frisbee", "type": "mask" },
{ "id": 31, "name": "skis", "type": "mask" },
{ "id": 32, "name": "snowboard", "type": "mask" },
{ "id": 33, "name": "sports_ball", "type": "mask" },
{ "id": 34, "name": "kite", "type": "mask" },
{ "id": 35, "name": "baseball_bat", "type": "mask" },
{ "id": 36, "name": "baseball_glove", "type": "mask" },
{ "id": 37, "name": "skateboard", "type": "mask" },
{ "id": 38, "name": "surfboard", "type": "mask" },
{ "id": 39, "name": "tennis_racket", "type": "mask" },
{ "id": 40, "name": "bottle", "type": "mask" },
{ "id": 41, "name": "wine_glass", "type": "mask" },
{ "id": 42, "name": "cup", "type": "mask" },
{ "id": 43, "name": "fork", "type": "mask" },
{ "id": 44, "name": "knife", "type": "mask" },
{ "id": 45, "name": "spoon", "type": "mask" },
{ "id": 46, "name": "bowl", "type": "mask" },
{ "id": 47, "name": "banana", "type": "mask" },
{ "id": 48, "name": "apple", "type": "mask" },
{ "id": 49, "name": "sandwich", "type": "mask" },
{ "id": 50, "name": "orange", "type": "mask" },
{ "id": 51, "name": "broccoli", "type": "mask" },
{ "id": 52, "name": "carrot", "type": "mask" },
{ "id": 53, "name": "hot_dog", "type": "mask" },
{ "id": 54, "name": "pizza", "type": "mask" },
{ "id": 55, "name": "donut", "type": "mask" },
{ "id": 56, "name": "cake", "type": "mask" },
{ "id": 57, "name": "chair", "type": "mask" },
{ "id": 58, "name": "couch", "type": "mask" },
{ "id": 59, "name": "potted_plant", "type": "mask" },
{ "id": 60, "name": "bed", "type": "mask" },
{ "id": 61, "name": "dining_table", "type": "mask" },
{ "id": 62, "name": "toilet", "type": "mask" },
{ "id": 63, "name": "tv", "type": "mask" },
{ "id": 64, "name": "laptop", "type": "mask" },
{ "id": 65, "name": "mouse", "type": "mask" },
{ "id": 66, "name": "remote", "type": "mask" },
{ "id": 67, "name": "keyboard", "type": "mask" },
{ "id": 68, "name": "cell_phone", "type": "mask" },
{ "id": 69, "name": "microwave", "type": "mask" },
{ "id": 70, "name": "oven", "type": "mask" },
{ "id": 71, "name": "toaster", "type": "mask" },
{ "id": 72, "name": "sink", "type": "mask" },
{ "id": 73, "name": "refrigerator", "type": "mask" },
{ "id": 74, "name": "book", "type": "mask" },
{ "id": 75, "name": "clock", "type": "mask" },
{ "id": 76, "name": "vase", "type": "mask" },
{ "id": 77, "name": "scissors", "type": "mask" },
{ "id": 78, "name": "teddy_bear", "type": "mask" },
{ "id": 79, "name": "hair_drier", "type": "mask" },
{ "id": 80, "name": "toothbrush", "type": "mask" }
]
spec:
description: |
An implementation of Mask RCNN on Python 3, Keras, and TensorFlow.
runtime: 'python:3.6'
handler: main:handler
eventTimeout: 30s
env:
- name: MASK_RCNN_DIR
value: /opt/nuclio/Mask_RCNN
build:
image: cvat.tf.matterport.mask_rcnn
baseImage: tensorflow/tensorflow:1.13.1-py3
directives:
postCopy:
- kind: WORKDIR
value: /opt/nuclio
- kind: RUN
value: apt update && apt install --no-install-recommends -y git curl
- kind: RUN
value: git clone --depth 1 https://github.com/matterport/Mask_RCNN.git
- kind: RUN
value: curl -L https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5 -o Mask_RCNN/mask_rcnn_coco.h5
- kind: RUN
value: pip3 install numpy cython pyyaml keras==2.1.0 scikit-image 'imageio<=2.9.0' Pillow
triggers:
myHttpTrigger:
maxWorkers: 2
kind: 'http'
workerAvailabilityTimeoutMilliseconds: 10000
attributes:
maxRequestBodySize: 33554432 # 32MB
platform:
attributes:
restartPolicy:
name: always
maximumRetryCount: 3
mountMode: volume