yolov7_d2
yolact
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| yolov7_d2 | yolact | |
|---|---|---|
| 4 | 4 | |
| 3,130 | 4,924 | |
| - | - | |
| 0.0 | 0.0 | |
| 5 months ago | 6 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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yolov7_d2
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YOLOv7: Trainable Bag-of-Freebies
Especially hilarious considering some other people ALSO jumped on the "we made an object detector so let's call it YOLOvX" wagon and released...
Something called YOLOv7.
https://github.com/jinfagang/yolov7
- YOLOv7: YOLO with Transformers and Instance Segmentation
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How to Train YOLOv6 on a Custom Dataset
You're 9 months late https://github.com/jinfagang/yolov7
- YOLOv6: Redefine state-of-the-art for object detection
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?
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
YOLOv4 - Port of YOLOv4 to C# + TensorFlow
mmdetection - OpenMMLab Detection Toolbox and Benchmark
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
CATNet - 🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023)
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models