Metadata-Version: 2.1
Name: deepgeo-ext-maskrcnn
Version: 0.0.1
Summary: deepgeo_ext_maskrcnn
Home-page: https://github.com/Sotaneum/deepgeo_ext_maskrcnn
Author: Donggun LEE
Author-email: gnyotnu39@gmail.com
License: MIT
Description: # DeepGeo Extension :: Mask R-CNN
         - Easy Deep Learning
          - Copyright (c) 2019 [InfoLab](http://infolab.kunsan.ac.kr) ([Donggun LEE](http://duration.digimoon.net))
        
         - How to install
           ```bash
           pip install deepgeo_ext_maskrcnn
           ```
           - other version
             ```basha
             # 0.0.1
             pip install deepgeo_ext_maskrcnn==0.0.1
             ```
            - requirement
               - Python 3.6
               ```bash
               pip install deepgeo
               ```
         - How to use
            ```python
            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
            ```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
            }
            ```
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
