yolact
darknet-visual
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| yolact | darknet-visual | |
|---|---|---|
| 4 | 1 | |
| 4,924 | - | |
| - | - | |
| 0.0 | - | |
| 6 months ago | - | |
| Python | ||
| 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.
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A question on Instance Segmentation Labelling
I am using yolact : https://github.com/dbolya/yolact
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
What are some alternatives?
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/