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败人疯/mmdetection forked from OpenMMLab/mmdetection

基于 PyTorch 和 MMCV 的通用目标检测平台。支撑了 3D 目标检测、旋转框检测、场景文字识别、姿态估计、目标跟踪等算法库中检测算法的实现；支持 2D 目标检测、实例分割、全景分割任务；支持算法多样，涵盖了单阶段、双阶段和级联模型等各任务中的典型算法和各类训练技术；为通用目标检测算法的研发提供了高性能基准

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败人疯/mmengine forked from OpenMMLab/mmengine

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败人疯/voxelmorph-tf-new

another tensorflow version of voxelmorph

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败人疯/voxelmorph

Unsupervised Learning for Image Registration

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败人疯/Cascade_FPN_Tensorflow

Cascade R-CNN: Delving into High Quality Object Detection.

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败人疯/NAS_FPN_Tensorflow

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

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败人疯/EfficientDet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

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败人疯/automl

Google Brain AutoML

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败人疯/FPN_Tensorflow

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

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败人疯/models

Models and examples built with TensorFlow

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败人疯/PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

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败人疯/TF-Keras-ThunderNet

Object detection model thundernet tensorflow.keras implementation

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败人疯/pascal_evaluation

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败人疯/keras-applications

Reference implementations of popular deep learning models.

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败人疯/tf_eager_object_detection

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败人疯/tf-eager-fasterrcnn

Faster R-CNN R-101-FPN model was implemented with tensorflow eager execution.

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败人疯/R2CNN_Faster-RCNN_Tensorflow

Rotational region detection based on Faster-RCNN.