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This repository contains scripts to reparamterize the YOLOv7 model and it's variants. This can help in deployment and further usage.

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faizan1234567/YOLOv7-Reparameterization

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YOLOv7 Reparametrization

After training YOLOv7, you need to Reparametrize the checkpoints for deployment purposes. Trained checkpoints may not convert to engine file for example when deploying yolov7 to Jetson. This repository organised yolov7 and its variants conversion from yolov7 trained checkpoints to Reparametrized checkpoints. Full Reparametrization deatial is available here

credit: yolov7

Installation

To install follow the procedure below;

 git clone https://github.com/faizan1234567/YOLOv7-Reparameterization
 cd YOLOv7-Reparameterization

Now run

pip install -r requirements.txt 
cd yolov7
pip install -r requirements.txt

follow yolov7 documentation for more installation instructions if needed.

Usage

-h, --help            show this help message and exit
  --weights WEIGHTS     path to the weight file of the model
  --model_config MODEL_CONFIG
                        path to the config file of a model
  --save SAVE           path to save the processed model checkpoints
  --yolov7_type YOLOV7_TYPE
                        yolov7 model to be convert i.e. yolov7, yolo7x, or
                     other variants..

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This repository contains scripts to reparamterize the YOLOv7 model and it's variants. This can help in deployment and further usage.

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