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https://github.com/Burf/TFDetection
A Detection Toolbox for Tensorflow2
https://github.com/Burf/TFDetection
anomaly-detection cascade-rcnn deeplabv3 efficientdet efficientdet-lite faster-rcnn fcos hybrid-task-cascade instance-segmentation keras mask-rcnn object-detection patch-core retinanet tensorflow tensorflow2 tf unet upernet yolo
Last synced: 3 months ago
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A Detection Toolbox for Tensorflow2
- Host: GitHub
- URL: https://github.com/Burf/TFDetection
- Owner: Burf
- License: apache-2.0
- Created: 2022-03-06T14:02:44.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-04-27T03:52:17.000Z (over 1 year ago)
- Last Synced: 2024-08-02T01:16:34.568Z (6 months ago)
- Topics: anomaly-detection, cascade-rcnn, deeplabv3, efficientdet, efficientdet-lite, faster-rcnn, fcos, hybrid-task-cascade, instance-segmentation, keras, mask-rcnn, object-detection, patch-core, retinanet, tensorflow, tensorflow2, tf, unet, upernet, yolo
- Language: Python
- Homepage:
- Size: 10.6 MB
- Stars: 55
- Watchers: 4
- Forks: 18
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-yolo-object-detection - Burf/TFDetection
- awesome-yolo-object-detection - Burf/TFDetection
README
# TFDetection
TFDetection(tfdet) is a detection toolbox based on Tensorflow2 and Keras.
## Overview of Components
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
## Requirements
- python 3.8▲
- tensorflow 2.4▲ (If you installed tensorflow latest, more backbone is available.)
- opencv-python
## Contributor
* Hyungjin Kim([email protected])