yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Train and test advanced object detection models using a user-friendly setup.
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Free · no card · unsubscribe anytime🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
yolov7_d2 has 3.1k stars on GitHub. It has been forked 470 times. yolov7_d2 is written mainly in Python. It has been in active development since 2021. yolov7_d2 is available under the GPL-3.0 license. Its main topics are detection, detextron2, detr, face.
What is yolov7_d2?
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Is yolov7_d2 open source?
yolov7_d2 is an open-source project. It is released under the GPL-3.0 license.
Is yolov7_d2 free?
Yes. yolov7_d2 is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does yolov7_d2 use?
yolov7_d2 is available under the GPL-3.0 license.
What language is yolov7_d2 written in?
yolov7_d2 is written mainly in Python.
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