This is the Windows app named Official YOLOv7 whose latest release can be downloaded as yolov7v0.1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Official YOLOv7
DESCRIPTION
YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without increasing inference cost, which is why the project became important in real-time detection research. It supports multiple model sizes and related tasks such as object detection and instance segmentation through associated branches or weights. It is useful for researchers, engineers, and developers building detection systems for video, edge devices, robotics, analytics, and industrial vision.
Features
- Real-time object detection
- PyTorch training and inference
- Pretrained model weights
- Multiple model size variants
- Trainable bag-of-freebies approach
- Detection and segmentation workflows
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/official-yolov7.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
