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deepgeo_ext_maskrcnn

Project description

DeepGeo Extension :: Mask R-CNN

  • Easy Deep Learning

  • Copyright (c) 2019 InfoLab (Donggun LEE)

  • How to install

    pip install deepgeo_ext_maskrcnn
    
    • other version
      # 0.0.1
      pip install deepgeo_ext_maskrcnn==0.0.1
      
    • requirement
      • Python 3.6
      pip install deepgeo
      
  • How to use

    import deepgeo
    
    engine = deepgeo.Engine()
    engine.add_model('maskrcnn_mscoco','maskrcnn','D:/default_config.json')
    
    image = deepgeo.Image.Image("image.jpg","D:/Project")
    image = engine.detect('maskrcnn_mscoco', image)
    image.draw_annotations(image.get_annotation())
    image.save("D:/","test","PNG")
    
  • default_config.json

    {
      "BACKBONE": "resnet101",
      "BACKBONE_STRIDES": [
        4,
        8,
        16,
        32,
        64
      ],
      "BATCH_SIZE": 1,
      "BBOX_STD_DEV": [0.1, 0.1, 0.2, 0.2],
      "CATEGORY": [
        "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"
      ],
      "COMPUTE_BACKBONE_SHAPE": null,
      "DETECTION_MAX_INSTANCES": 100,
      "DETECTION_MIN_CONFIDENCE": 0.7,
      "DETECTION_NMS_THRESHOLD": 0.3,
      "EPOCHS": 1,
      "FPN_CLASSIF_FC_LAYERS_SIZE": 1024,
      "GPU_COUNT": 1,
      "GRADIENT_CLIP_NORM": 5.0,
      "IMAGES_PER_GPU": 1,
      "IMAGE_CHANNEL_COUNT": 3,
      "IMAGE_MAX_DIM": 1024,
      "IMAGE_META_SIZE": 14,
      "IMAGE_MIN_DIM": 800,
      "IMAGE_MIN_SCALE": 0,
      "IMAGE_PATH": "image",
      "IMAGE_RESIZE_MODE": "square",
      "IMAGE_SHAPE": null,
      "LAYERS": "all",
      "LEARNING_MOMENTUM": 0.9,
      "LEARNING_RATE": 0.001,
      "LOSS_WEIGHTS": {
        "mrcnn_bbox_loss": 1.0,
        "mrcnn_class_loss": 1.0,
        "mrcnn_mask_loss": 1.0,
        "rpn_bbox_loss": 1.0,
        "rpn_class_loss": 1.0
      },
      "MASK_POOL_SIZE": 14,
      "MASK_SHAPE": [
        28,
        28
      ],
      "MAX_GT_INSTANCES": 100,
      "MEAN_PIXEL": [123.7, 116.8, 103.9],
      "MEMO": "",
      "MINI_MASK_SHAPE": [
        56,
        56
      ],
      "MODEL_FILE_NAME": "mask_rcnn_coco.h5",
      "MODEL_PATH":"model",
      "MODEL_URI":"",
      "NAME": "MASK_RCNN",
      "NUM_CLASSES": 80,
      "POOL_SIZE": 7,
      "POST_NMS_ROIS_INFERENCE": 1000,
      "POST_NMS_ROIS_TRAINING": 2000,
      "PRE_NMS_LIMIT": 6000,
      "RESULT_TEST_NUM": 100,
      "ROI_POSITIVE_RATIO": 0.33,
      "RPN_ANCHOR_RATIOS": [
        0.5,
        1,
        2
      ],
      "RPN_ANCHOR_SCALES": [
        32,
        64,
        128,
        256,
        512
      ],
      "RPN_ANCHOR_STRIDE": 1,
      "RPN_BBOX_STD_DEV": [0.1,0.1,0.2,0.2],
      "RPN_NMS_THRESHOLD": 0.7,
      "RPN_TRAIN_ANCHORS_PER_IMAGE": 256,
      "STEPS_PER_EPOCH": 1000,
      "TOP_DOWN_PYRAMID_SIZE": 256,
      "TRAIN_BN": false,
      "TRAIN_ROIS_PER_IMAGE": 200,
      "USE_MINI_MASK": true,
      "USE_RPN_ROIS": true,
      "VALIDATION_STEPS": 50,
      "VERSION": "",
      "WEIGHT_DECAY": 0.0001
    }
    

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