lucasjinreal/yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥 observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1897
- days_rel: n/a
- days_push: 1019
- n_releases_24m: 0
Adoption not part of the score
3109 stars · 467 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A detectron2-based implementation of YOLOv7 that extends YOLO-style detection to instance segmentation, keypoint detection, and multi-head vision models, with TensorRT/ONNX deployment support. It also supports other SOTA detectors like DETR, DINO, YOLOX, and YOLOv6 for painless training.
Use cases
- train a custom YOLO object detection model
- run instance segmentation with YOLO
- deploy YOLO models with TensorRT acceleration
- detect faces with YOLO
- build multi-head detection models like pose estimation
- convert YOLO models to ONNX for inference
When to avoid
- you need the official YOLOv7 implementation or its latest research updates
- you need actively maintained software - the project has been quiet since late 2023
- you want a non-GPL license for commercial products
Facets
library · maturity maintenance
machine-learning computer-vision image-processing computer-vision deep-learning machine-learning image-processing python object-detection yolo detectron2 instance-segmentation tensorrt onnx transformers detr model-training inference gpu linux
1 source
- readme: https://github.com/lucasjinreal/yolov7_d2 · fetched 2026-08-28 · d3bc4fbac994
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lucasjinreal/yolov7_d2 | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="lucasjinreal/yolov7_d2")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem