CATNet
darknet-visual
Our great sponsors
| CATNet | darknet-visual | |
|---|---|---|
| 1 | 1 | |
| 55 | - | |
| - | - | |
| 3.7 | - | |
| 5 months ago | - | |
| Python | ||
| GNU General Public License v3.0 only | - |
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CATNet
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?
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
yolact - A simple, fully convolutional model for real-time instance segmentation.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/