{"id":14959015,"url":"https://github.com/kleinyuan/tf-object-detection","last_synced_at":"2025-05-02T12:31:36.071Z","repository":{"id":87912041,"uuid":"103369673","full_name":"KleinYuan/tf-object-detection","owner":"KleinYuan","description":"Simpler app for tensorflow object detection 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Scope\n\nThis repo is aiming to provide production ready **2D object detection** code basics.\n\nIt's based on official tensorflow API jupyter notebook but I will gradually add more popular models such as `yolo` series.\n\n### More\n\nIf you are interested in **3D object detection**, visit this [repo](https://github.com/KleinYuan/tf-3d-object-detection).\n\nIf you are interested in **Segmentation**, visit this [repo](https://github.com/KleinYuan/tf-segmentation).\n\n\n# Introduction\n\nThis is a repo for implementing object detection with pre-trained models (as shown below) on tensorflow.\n\n| Model name  | Speed | COCO mAP | Outputs |\n| ------------ | :--------------: | :--------------: | :-------------: |\n| [ssd_mobilenet_v1_coco](http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_11_06_2017.tar.gz) | fast | 21 | Boxes |\n| [ssd_inception_v2_coco](http://download.tensorflow.org/models/object_detection/ssd_inception_v2_coco_11_06_2017.tar.gz) | fast | 24 | Boxes |\n| [rfcn_resnet101_coco](http://download.tensorflow.org/models/object_detection/rfcn_resnet101_coco_11_06_2017.tar.gz)  | medium | 30 | Boxes |\n| [faster_rcnn_resnet101_coco](http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_coco_11_06_2017.tar.gz) | medium | 32 | Boxes |\n| [faster_rcnn_inception_resnet_v2_atrous_coco](http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_11_06_2017.tar.gz) | slow | 37 | Boxes |\n\n\nDependencies:\n\n- [X] Tensorflow \u003e= 1.2.0\n- [X] OpenCV\n\n\n# Run Demo\n\n\n```\n# Clone this repo\ngit clone https://github.com/KleinYuan/tf-object-detection.git\n\n# Setting up\ncd tf-object-detection\nbash setup.sh\n\n# Run demo\npython app.py\n\n```\n\n![res](https://user-images.githubusercontent.com/8921629/32482793-24968e20-c34e-11e7-9810-4aef685d067f.jpg)\n\n# Image Classifications\n\nI also put an image classifications inference app (VGG16) here.\n\n```\n# Assuming you already run setup.sh, which will download vgg16.np\n\npython app_ic.py\n```\n\n# Networks\n\n| Model name  | Architecture|\n| ------------ | :--------------: |\n| [AlextNet](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks) | ![AlexNet](https://kratzert.github.io/images/finetune_alexnet/alexnet.png)|\n| [Vgg 16](https://arxiv.org/abs/1409.1556) | ![VGG16](https://www.cs.toronto.edu/~frossard/post/vgg16/vgg16.png)|\n| [SSD](https://arxiv.org/abs/1512.02325) | ![SSD](http://joshua881228.webfactional.com/media/uploads/ReadingNote/arXiv_SSD/SSD.png)|\n| [ResNet](http://arxiv.org/abs/1512.03385)|![Resnet](https://image.slidesharecdn.com/lenettoresnet-170509055515/95/lenet-to-resnet-17-638.jpg)|\n| [MobileNet](https://arxiv.org/abs/1704.04861)|![MobileNet](http://machinethink.net/images/mobilenets/Architecture@2x.png) |\n| [Faster R-CNN](https://arxiv.org/abs/1506.01497) | ![fasterrcnn](https://raw.githubusercontent.com/sunshineatnoon/Paper-Collection/master/images/faster-rcnn.png)|","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkleinyuan%2Ftf-object-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkleinyuan%2Ftf-object-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkleinyuan%2Ftf-object-detection/lists"}