TFDetection(tfdet) is a detection toolbox based on Tensorflow2 and Keras.
Object Detection
Segmentation
Anomaly Detection
- Faster R-CNN(2015)
- RetinaNet(2017)
- YoloV3(2018)
- YoloV3 Tiny(2018)
- Cascade R-CNN(2018)
- FCOS(2019)
- Hybrid Task Cascade(2019)
- EfficientDet(2019)
- YoloV4(2020)
- YoloV4 Tiny(2020)
- EfficientDet Lite(2020)
- Semantic Segmentation
- FCN(2015)
- UNet(2016)
- PSPNet(2017)
- DeepLab V3(2017)
- DeepLab V3+(2018)
- UNet++(2018)
- UperNet(2018)
- Instance Segmentation
- Mask R-CNN(2017)
- Cascade R-CNN(2018)
- Hybrid Task Cascade(2019)
- SPADE(2020)
- PaDiM(2020)
- PatchCore(2021)
Components
- VGGNet(2015)
- ResNet(2016)
- Wide ResNet(2016)
- DenseNet(2016)
- ResNeXt(2016)
- MobileNetV2(2018)
- DarkNet(2018)
- MobileNetV3(2019)
- EfficientNet(2019)
- EfficientNet Lite(2020)
- ResNeSt(2020)
- CSP DarkNet(2020)
- SwinTransformer(2021)
- EfficientNetV2(2021)
- SwinTransformerV2(2021)
- ConvNeXt(2022)
- FPN(2017)
- PANet(2018)
- BiFPN(2019)
- Assign
- Max Iou
- Center Region
- Point
- ATSS
- Sim OTA
- Align OTA
- Augmentation
- Albumentations
- Mosaic
- CutMix
- CutOut
- MixUp
- CopyPaste
- MMDetction
- Yolo
- Metric
- Mean Average Precision
- Mean IoU
- Export
- TFLite
- ONNX
- TensorRT
- python 3.8▲さんかく
- tensorflow 2.4▲さんかく (If you installed tensorflow latest, more backbone is available.)
- opencv-python
- Hyungjin Kim(flslzk@gmail.com)