darknet-visual
yolact
Our great sponsors
| darknet-visual | yolact | |
|---|---|---|
| 1 | 4 | |
| - | 4,924 | |
| - | - | |
| - | 0.0 | |
| - | 6 months ago | |
| Python | ||
| - | MIT License |
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darknet-visual
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YOLOv6: Redefine state-of-the-art for object detection
https://github.com/meituan/YOLOv6/blob/main/docs/About_namin...
> P.S. We are contacting the authors of YOLO series about the naming of YOLOv6.
You should ask _before_ publishing, not _after_.
They claim it runs faster and is more accurate than YOLOv5, yet requires 3x as much computation (GFLOPs)? Something doesn't add up here.
There is unbelievably little information about the architecture too. Unfortunately it's not in a format I can easily throw the cfg in as visualize it: https://gitlab.com/danbarry16/darknet-visual
This appears to be on purpose to advertise DagsHub: https://dagshub.com/pricing
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.
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A question on Instance Segmentation Labelling
I am using yolact : https://github.com/dbolya/yolact
What are some alternatives?
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
mmdetection - OpenMMLab Detection Toolbox and Benchmark
edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models