{"id":20999869,"url":"https://github.com/076923/tensorflow-2.0-object-detection-api","last_synced_at":"2026-04-27T19:05:19.351Z","repository":{"id":248369117,"uuid":"347639499","full_name":"076923/Tensorflow-2.0-Object-Detection-API","owner":"076923","description":"Tensorflow 2.x Object Detection API to use easily. 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OpenCV를 활용하여 이미지를 입력받습니다.\n3. 검출된 `classes`, `scores`, `boxes`를 반환합니다.\n4. 간단한 시각화를 지원합니다.\n\n\u003cbr\u003e\n\n## Requirements\n\n[![Python 3.8](https://img.shields.io/badge/Python-3.8-3776AB)](https://www.python.org/downloads/release/python-380/)\n[![TensorFlow 2.3](https://img.shields.io/badge/TensorFlow-2.3-FF6F00?logo=tensorflow)](https://github.com/tensorflow/tensorflow/releases/tag/v2.3.0)\n[![Protobuf Compiler \u003e= 3.0](https://img.shields.io/badge/ProtoBuf%20Compiler-%3E3.0-brightgreen)](https://grpc.io/docs/protoc-installation/#install-using-a-package-manager)\n[![OpenCV \u003e= 4.0](https://img.shields.io/badge/OpenCV-%3E4.0-FF6F00?logo=opencv)](https://github.com/tensorflow/tensorflow/releases/tag/v2.2.0)\n[![tpqm](https://img.shields.io/badge/tpqm-4.59.0-brightgreen)](https://grpc.io/docs/protoc-installation/#install-using-a-package-manager)\n\n\u003cbr\u003e\n\n## Installation\n\nClone the TensorFlow 2.0 Object Detection API repository.\n\n    git clone https://github.com/076923/Tensorflow-2.0-Object-Detection-API.git\n\n\u003cbr\u003e\n\n## Using\n\n```python3\n\n# Using GPU computing\nimport tensorflow as tf\nphysical_device = tf.config.list_physical_devices('GPU')\ntf.config.experimental.set_memory_growth(physical_device[0], enable=True)\n\n# Model Prediction\nfrom core.detection import ModelZoo\nmodel = ModelZoo(ModelZoo.SSD_MobileNet_v2_320x320)\nimg, input_tensor = model.load_image('images/dog.jpg')\nclasses, scores, boxes = model.predict(input_tensor)\nvisual = model.visualization(img, classes, scores, boxes, 0.7)\n\n# OpenCV Visualization\nimport cv2\ncv2.imshow(\"visual\", visual)\ncv2.waitKey()\n\n```\n\n| src | dst |\n|:---:|:---:|\n| ![src](images/dog.jpg) | ![dst](images/visual.png) |\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n![gpu](images/Using-GPU-computing.png)\n![prediction](images/Model-Prediction.png)\n![visualization](images/Visualization.png)\n\n\u003cbr\u003e\n\n## Model List\n\n- ModelZoo.CenterNet_Resnet50_V1_FPN_512x512\n- ModelZoo.CenterNet_Resnet101_V1_FPN_512x512\n- ModelZoo.CenterNet_Resnet50_V2_512x512\n- ModelZoo.CenterNet_MobileNetV2_FPN_512x512\n- ModelZoo.EfficientDet_D0_512x512\n- ModelZoo.EfficientDet_D1_640x640\n- ModelZoo.EfficientDet_D2_768x768\n- ModelZoo.EfficientDet_D3_896x896\n- ModelZoo.EfficientDet_D4_1024x1024\n- ModelZoo.EfficientDet_D5_1280x1280\n- ModelZoo.EfficientDet_D6_1280x1280\n- ModelZoo.EfficientDet_D7_1536x1536\n- ModelZoo.SSD_MobileNet_v2_320x320\n- ModelZoo.SSD_MobileNet_V1_FPN_640x640\n- ModelZoo.SSD_MobileNet_V2_FPNLite_320x320\n- ModelZoo.SSD_ResNet50_V1_FPN_640x640_RetinaNet50\n- ModelZoo.SSD_ResNet50_V1_FPN_1024x1024_RetinaNet50\t\n- ModelZoo.SSD_ResNet101_V1_FPN_640x640_RetinaNet101\n- ModelZoo.SSD_ResNet101_V1_FPN_1024x1024_RetinaNet101\n- ModelZoo.SSD_ResNet152_V1_FPN_640x640_RetinaNet152\t\n- ModelZoo.SSD_ResNet152_V1_FPN_1024x1024_RetinaNet152\t\n- ModelZoo.Faster_RCNN_ResNet50_V1_640x640\n- ModelZoo.Faster_RCNN_ResNet50_V1_1024x1024\n- ModelZoo.Faster_RCNN_ResNet50_V1_800x1333\n- ModelZoo.Faster_RCNN_ResNet101_V1_640x640\n- ModelZoo.Faster_RCNN_ResNet101_V1_1024x1024\n- ModelZoo.Faster_RCNN_ResNet101_V1_800x1333\n- ModelZoo.Faster_RCNN_ResNet152_V1_640x640\n- ModelZoo.Faster_RCNN_ResNet152_V1_1024x1024\n- ModelZoo.Faster_RCNN_ResNet152_V1_800x1333\n\n\u003cbr\u003e\n\n## Test Models\n\n- ModelZoo.CenterNet_Resnet101_V1_FPN_512x512\n- ModelZoo.SSD_MobileNet_v2_320x320\n- ModelZoo.SSD_ResNet50_V1_FPN_640x640_RetinaNet50\n\n\u003cbr\u003e\n\n## Model Zoo\n\nWe provide a large collection of models that are trained on COCO 2017 in the Model Zoo.\n\n\u003cbr\u003e\n\n## Authors\n\n윤대희(s076923@gmail.com)\n\n\u003cbr\u003e\n\n## License\n\nApache License 2.0","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F076923%2Ftensorflow-2.0-object-detection-api","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F076923%2Ftensorflow-2.0-object-detection-api","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F076923%2Ftensorflow-2.0-object-detection-api/lists"}