yolact
segmentation_models.pytorch
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yolact | segmentation_models.pytorch | |
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4 | 14 | |
4,915 | 8,700 | |
- | - | |
0.0 | 2.8 | |
5 months ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
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yolact
- YOLOv6: Redefine state-of-the-art for object detection
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Instance segmentation
YOLACT
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Advice needed
The Github repo is not highly structured and is probably written during the time of the author's research. Been using this for well over a year and does the job so well.
segmentation_models.pytorch
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Instance segmentation of small objects in grainy drone imagery
Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
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[D] Improvements/alternatives to U-net for medical images segmentation?
SMP offers a wide variety of segmentation models with the option to use pre-trained weights.
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Advice needed
You could also use qubvel's segmentation models if you would like to explore semantic segmentation.
- Let's see who's the good guy now
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C++ trainable semantic segmentation models
qubvel SMP
What are some alternatives?
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
mmdetection - OpenMMLab Detection Toolbox and Benchmark
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
EfficientNet-PyTorch - A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
SegmentationCpp - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more