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Before you can use YOLOv5 in your Flutter application, you'll need to train the model on your specific dataset. You can use an existing dataset or create your own dataset to train the model. For this post I am using the pretrained model of yolov5 available on https://github.com/ultralytics/yolov5 as we are performing object detection we need to converts the pretrained model weights to torchscript format.
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flutter_pytorch
A flutter plugin for run object detection and image classifications from pytorch models like yolov5.
Or you can download the model and labels from the following link: https://github.com/AneeqMalik/flutter_pytorch/tree/main/example/assets Plz star the repository 😊. After placing the labels and model to their respective folders it is the time we are waiting for integrating the model to our app.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Flutter-Object-Detector-App-YOLOv5-
The repository created at the time of writing a post to the DEV Community.
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